Image Recognition code of Extension Project
This commit is contained in:
commit
e76128b095
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from pathlib import Path
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import tqdm
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import LFUtilities
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import BEBLIDExtractor as lf
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import argparse
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import os
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if __name__ == '__main__':
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parser = argparse.ArgumentParser(description='BEBLID bulk extraction')
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parser.add_argument('src', type=str, help='text file containing a list of img paths')
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parser.add_argument('dest', type=str, help='BEBLID dest file')
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args = parser.parse_args()
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src = args.src
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dest = args.dest
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with open(src, 'r') as src_file:
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dataset = []
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print('Extracting lf...')
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for line in src_file:
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try:
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kp, des = lf.extract(line.strip())
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dataset.append((kp, des))
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except:
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print("cannot process '%s'" % line)
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pass
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LFUtilities.save(dataset, dest)
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print('lf extracted.')
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import cv2
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from pathlib import Path
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import tqdm
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import pickle
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import os
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import LFUtilities
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import BEBLIDParameters as params
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detector = cv2.ORB_create(params.KEYPOINTS)
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descriptor = cv2.xfeatures2d.BEBLID_create(0.75)
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def extract(img_path):
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img = LFUtilities.resize(params.IMG_SIZE, cv2.imread(img_path))
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kp = detector.detect(img, None)
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kp, des = descriptor.compute(img, kp)
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return (kp, des)
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NN_MATCH_RATIO = 0.8
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MIN_GOOD_MATCHES = 20
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MIN_INLIERS = 16
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KEYPOINTS = 1000
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IMG_SIZE = 1000
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import cv2
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import numpy as np
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import LFUtilities
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import BEBLIDParameters
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import WebAppSettings as settings
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class BEBLIDRescorer:
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def __init__(self):
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self.lf = LFUtilities.load(settings.DATASET_BEBLID)
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self.ids = np.loadtxt(settings.DATASET_IDS, dtype=str).tolist()
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#self.bf = cv2.BFMatcher(cv2.NORM_HAMMING, crossCheck=True)
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self.bf = cv2.DescriptorMatcher_create(cv2.DescriptorMatcher_BRUTEFORCE_HAMMING)
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def rescore_by_id(self, query_id, resultset):
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query_idx = self.ids.index(query_id)
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return self.rescore_by_img(self.lf[query_idx], resultset)
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def rescore_by_img(self, query, resultset):
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max_inliers = -1
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res = []
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for data_id, _ in resultset:
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data_idx = self.ids.index(data_id)
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try:
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data_el = self.lf[data_idx]
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nn_matches = self.bf.knnMatch(query[1], data_el[1], 2)
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good = [m for m, n in nn_matches if m.distance < BEBLIDParameters.NN_MATCH_RATIO * n.distance]
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if len(good) > BEBLIDParameters.MIN_GOOD_MATCHES:
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src_pts = np.float32([query[0][m.queryIdx].pt for m in good]).reshape(-1, 1, 2)
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dst_pts = np.float32([data_el[0][m.trainIdx].pt for m in good]).reshape(-1, 1, 2)
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M, mask = cv2.findHomography(src_pts, dst_pts, cv2.RANSAC, 1.0)
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matches_mask = mask.ravel().tolist()
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# print(len(good))
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inliers = np.count_nonzero(matches_mask)
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# print(inliers)
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if (inliers >= BEBLIDParameters.MIN_INLIERS and inliers > max_inliers):
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max_inliers = inliers
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res.append((data_id, round(inliers/len(good), 3)))
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except:
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print('rescore error evaluating ' + data_id)
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pass
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if res:
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res.sort(key=lambda result: result[1], reverse=True)
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return res
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def add(self, lf):
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self.lf.append(lf)
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def remove(self, idx):
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self.descs = np.delete(self.descs, idx, axis=0)
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def save(self, is_backup=False):
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lf_save_file = settings.DATASET_LF
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ids_file = settings.DATASET_IDS_LF
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if lf_save_file != "None":
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if is_backup:
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lf_save_file += '.bak'
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ids_file += '.bak'
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LFUtilities.save(lf_save_file, self.lf)
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np.savetxt(ids_file, self.ids, fmt='%s')
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import cv2
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import numpy as np
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import LFUtilities
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import BEBLIDParameters
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import WebAppSettings as settings
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class BEBLIDSearcher:
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def __init__(self):
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self.lf = LFUtilities.load(settings.DATASET_BEBLID)
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self.ids = np.loadtxt(settings.DATASET_IDS, dtype=str).tolist()
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#self.bf = cv2.BFMatcher(cv2.NORM_HAMMING, crossCheck=True)
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self.bf = cv2.DescriptorMatcher_create(cv2.DescriptorMatcher_BRUTEFORCE_HAMMING)
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def get_id(self, idx):
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return self.ids[idx]
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def search_by_id(self, query_id):
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query_idx = self.ids.index(query_id)
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return self.search_by_img(self.lf[query_idx])
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def search_by_img(self, query):
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max_inliers = -1
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res = []
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for img_id, features in zip(self.ids, self.lf):
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try:
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nn_matches = self.bf.knnMatch(query[1], features[1], 2)
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good = [m for m, n in nn_matches if m.distance < BEBLIDParameters.NN_MATCH_RATIO * n.distance]
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if len(good) > BEBLIDParameters.MIN_GOOD_MATCHES:
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src_pts = np.float32([query[0][m.queryIdx].pt for m in good]).reshape(-1, 1, 2)
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dst_pts = np.float32([features[0][m.trainIdx].pt for m in good]).reshape(-1, 1, 2)
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M, mask = cv2.findHomography(src_pts, dst_pts, cv2.RANSAC, 1.0)
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matches_mask = mask.ravel().tolist()
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# print(len(good))
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inliers = np.count_nonzero(matches_mask)
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# print(inliers)
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if (inliers >= BEBLIDParameters.MIN_INLIERS and inliers > max_inliers):
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max_inliers = inliers
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class_name = img_id.split('/')[0]
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res.append((class_name, round(inliers/len(good), 3)))
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except:
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print('search error evaluating ' + img_id)
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pass
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if res:
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res.sort(key=lambda result: result[1], reverse=True)
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return res
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def add(self, lf):
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self.lf.append(lf)
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def remove(self, idx):
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self.descs = np.delete(self.descs, idx, axis=0)
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def save(self, is_backup=False):
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lf_save_file = settings.DATASET_LF
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ids_file = settings.DATASET_IDS_LF
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if lf_save_file != "None":
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if is_backup:
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lf_save_file += '.bak'
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ids_file += '.bak'
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LFUtilities.save(lf_save_file, self.lf)
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np.savetxt(ids_file, self.ids, fmt='%s')
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import h5py
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import numpy as np
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rmac_out_file = '/media/Data/data/beni_culturali/out/rmac_out.txt'
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orb_out_file = '/media/Data/data/beni_culturali/out/orb_out.txt'
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ground_truth_file = '/media/Data/data/beni_culturali/groundtruth.txt'
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ground_truth = {}
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rmac_out = {}
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orb_out = {}
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query_folder = '/media/Data/data/beni_culturali/ImmaginiComparazioni/'
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img_folder = '/media/Data/data/beni_culturali/thumbs/'
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with open(ground_truth_file, 'r') as f:
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for line in f:
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values = line.strip().split(',')
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ground_truth[values[0]] = values[1:]
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with open(orb_out_file, 'r') as f:
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for line in f:
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values = line.strip().split(',')
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orb_out[values[0]] = values[1]
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with open(rmac_out_file, 'r') as f:
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for line in f:
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values = line.strip().split(',')
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rmac_out[values[0]] = values[1:]
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counter = 0
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found = 0
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html = '<html><body>'
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html += '<h1 align="center">Image Analysis Report</h1>'
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html += '<h2>Numero totale query: 64 (una query è ripetuta due volte)</h2>'
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html += '<h2>Immagini Recuperate (evidenziate dal bordo verde):</h2>'
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html += '<ul><li><h3>Al primo risultato: <span style="color:red;">78%</span> (50 su 64)</h3></li>'
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html += '<li><h3>Entro il terzo risultato: <span style="color:red;">83%</span> (53 su 64)</h3></li>'
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html += '<li><h3>Entro il 60esimo risultato: <span style="color:red;">84%</span> (54 su 64)</h3></li></ul>'
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html += '<h2>Elenco delle query e delle immagini recuperate:</h2>'
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html += '<h3>[query, <span style="color:green;">immagine ritrovata</span>, posizione (ranking)]</h3><hr>'
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counter = 1
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for key, value in ground_truth.items():
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orb_res = orb_out[key]
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rmac_res = rmac_out[key]
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#print(key)
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#print(value)
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# print(orb_res + '\n')
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html += '<div><span style="color:red;">' + str(counter) + '. </span><b>' + key + '</b>'
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tmp = ''
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found_id = ''
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found = False
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k = 0
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if orb_res in value:
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found = True
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found_id = orb_res
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ground_truth[key] = 'already_found'
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tmp += '<img style="border-width: 5px; margin-left:10px; padding:2px; border-color: #00AA00; border-style: solid;" width="128" title="' + orb_res + '" src="' + img_folder + orb_res + '">'
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else:
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for k in range(60):
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if rmac_res[k] in value:
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tmp += '<img style="border-width: 5px; margin-left:10px; padding:2px; border-color: #00AA00; border-style: solid;" width="128" title="' + rmac_res[k] + '" src="' + img_folder + rmac_res[k] + '">'
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found = True
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found_id = rmac_res[k]
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ground_truth[key] = 'already_found'
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break
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if k < 2:
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tmp += '<img width="128" title="' + rmac_res[k] + '" src="' + img_folder + rmac_res[k] + '">'
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else:
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tmp += '<span>.</span>'
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if found:
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html += ', <span style="color:green;">' + found_id + '</span>' + ', (ranking: <b>' + str(k + 1) + '</b>)'
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else:
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html += ', <span style="color:red;"> NONE</span>'
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html += '</br></br><img width="128" style="padding:5px;" src="' + query_folder + key + '">'
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if found:
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html += tmp
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else:
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html += '<img style="padding:32px; margin-left:10px;" height="48" src="/media/Data/data/beni_culturali/out/notfound.png">'
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html += '</br></div><hr>'
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counter += 1
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html += '</body></html>'
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print(html)
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@ -0,0 +1,77 @@
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from telegram import ReplyKeyboardMarkup, KeyboardButton
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from telegram.ext import Updater, CommandHandler, MessageHandler, Filters, ContextTypes
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import requests
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import json
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import telegram
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import re
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endpoint = "http://bilioso.isti.cnr.it:8190/bcir/searchByURL"
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endpoint_rescorer = "http://bilioso.isti.cnr.it:8190/bcir/setRescorer"
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def start(update, context):
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chat_id = update.effective_chat.id
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# custom_keyboard = [['top-left', 'top-right'], ['bottom-left', 'bottom-right']]
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# reply_markup = telegram.ReplyKeyboardMarkup(custom_keyboard)
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# context.bot.send_message(chat_id=chat_id, text = "Custom Keyboard Test", reply_markup = reply_markup)
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# context.bot.send_message(chat_id=chat_id, text = "Custom Keyboard Test")
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photo_id = update.message.photo[-1].file_id
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if (photo_id is None):
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print(update.message)
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query = context.bot.getFile(photo_id)
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print(query.file_path)
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# r = requests.get(endpoint, params=params)
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# json_res = json.loads(r.text)
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response = "Sorry, I can't recognize it :-("
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# if json_res is not None:
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# title = re.sub("\\d", "", json_res['title'])
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# response = "*" + json_res['author'] + "*, _" + title + "_\n\n"
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# response += json_res['artworkPage']
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# update.message.reply_text(response)
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text = endpoint + '?tohtml=true&url=' + query.file_path
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print(text)
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context.bot.send_message(chat_id=chat_id, text=text, parse_mode=telegram.ParseMode.HTML)
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params = {'url': query.file_path, 'securityID': 'FA6mMmeWZ8JjWKz5'}
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print(query.file_path)
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r = requests.get(endpoint, params=params)
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text = json.loads(r.text)
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print(text)
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#context.bot.send_message(chat_id=chat_id, text='GEM', parse_mode=telegram.ParseMode.HTML)
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context.bot.send_message(chat_id=chat_id, text=text, parse_mode=telegram.ParseMode.HTML)
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'''
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def commands(update, context):
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text = update.message.text
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if text.lower() == 'commands':
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chat_id = update.effective_chat.id
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markup = ReplyKeyboardMarkup(keyboard=[['GEM', KeyboardButton(text='BEBLID')],["GEM_TH", "BEB_TH"]])
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context.bot.sendMessage(chat_id=chat_id, text="available commands", reply_markup=markup, parse_mode=telegram.ParseMode.HTML)
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if text == "BEBLID":
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params = {'rescorer': 'true'}
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elif text == "GEM":
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params = {'rescorer': 'false'}
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r = requests.get(endpoint_rescorer, params=params)
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res = r.text
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print(res)
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update.message.reply_text(res)
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'''
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def call_service(query):
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print(query)
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files = {'img': query}
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r = requests.post(endpoint, files=files)
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return r.text
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updater = Updater('2140606085:AAHEBR3a_O9b8E8tbJFaWopDUvT4ptAUkP4')
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updater.dispatcher.add_handler(MessageHandler(Filters.photo, start))
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#updater.dispatcher.add_handler(MessageHandler(Filters.text, commands))
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updater.start_polling()
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updater.idle()
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@ -0,0 +1,105 @@
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from telegram.ext import Updater, CommandHandler, MessageHandler, Filters
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import requests
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import json
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import telegram
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import re
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import uuid
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import urllib
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import cv2
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import io
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import numpy as np
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import json
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import LFUtilities
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import base64
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endpoint = "http://bilioso.isti.cnr.it:8190/bcir/searchByImgB64"
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log_folder = "/media/Data/data/extension/img_recognition/bot"
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def url_to_file(url):
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dest_file = uuid.uuid4().hex + ".png"
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dest_path = log_folder + "/" + dest_file
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req = urllib.request.Request(
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url,
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data=None,
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headers={
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'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_9_3) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/35.0.1916.47 Safari/537.36'
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}
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)
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resp = urllib.request.urlopen(req)
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image = np.asarray(bytearray(resp.read()), dtype="uint8")
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decoded = cv2.imdecode(image, cv2.IMREAD_COLOR)
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resized = LFUtilities.resize(500, decoded)
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cv2.imwrite(dest_path, resized)
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#im = Image.fromarray(image)
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#im.save(dest_path)
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return dest_path
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def start(update, context):
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chat_id = update.effective_chat.id
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# custom_keyboard = [['top-left', 'top-right'], ['bottom-left', 'bottom-right']]
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# reply_markup = telegram.ReplyKeyboardMarkup(custom_keyboard)
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# context.bot.send_message(chat_id=chat_id, text = "Custom Keyboard Test", reply_markup = reply_markup)
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# context.bot.send_message(chat_id=chat_id, text = "Custom Keyboard Test")
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photo_id = update.message.photo[-1].file_id
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query = context.bot.getFile(photo_id)
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params = {'url': query.file_path}
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img_file = url_to_file(query.file_path)
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with open(img_file, "rb") as image_file:
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encoded_string = base64.b64encode(image_file.read())
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# r = requests.get(endpoint, params=params)
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# json_res = json.loads(r.text)
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response = "Sorry, I can't recognize it :-("
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# if json_res is not None:
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# title = re.sub("\\d", "", json_res['title'])
|
||||
# response = "*" + json_res['author'] + "*, _" + title + "_\n\n"
|
||||
# response += json_res['artworkPage']
|
||||
# update.message.reply_text(response)
|
||||
text = endpoint + '?tohtml=true&url=' + query.file_path
|
||||
|
||||
|
||||
|
||||
|
||||
print(text)
|
||||
context.bot.send_message(chat_id=chat_id, text=text, parse_mode=telegram.ParseMode.HTML)
|
||||
|
||||
data = {'image': encoded_string, 'securityID': 'FA6mMmeWZ8JjWKz5', 'rescorer': 'false', 'lf_impl': 'beblid'}
|
||||
r = requests.post(endpoint, data=data)
|
||||
text = json.loads(r.text)
|
||||
print(text)
|
||||
|
||||
#context.bot.send_message(chat_id=chat_id, text='GEM', parse_mode=telegram.ParseMode.HTML)
|
||||
context.bot.send_message(chat_id=chat_id, text=text, parse_mode=telegram.ParseMode.HTML)
|
||||
|
||||
data = {'image': encoded_string, 'securityID': 'FA6mMmeWZ8JjWKz5', 'rescorer': 'true', 'lf_impl': 'beblid'}
|
||||
r = requests.post(endpoint, data=data)
|
||||
text = json.loads(r.text)
|
||||
print(text)
|
||||
|
||||
# context.bot.send_message(chat_id=chat_id, text='GEM', parse_mode=telegram.ParseMode.HTML)
|
||||
context.bot.send_message(chat_id=chat_id, text=text, parse_mode=telegram.ParseMode.HTML)
|
||||
|
||||
|
||||
|
||||
|
||||
def hello(bot, update):
|
||||
update.message.reply_text(
|
||||
'Hello {}'.format(update.message.from_user.first_name))
|
||||
|
||||
|
||||
def call_service(query):
|
||||
files = {'img': query}
|
||||
r = requests.post(endpoint, files=files)
|
||||
return r.text
|
||||
|
||||
|
||||
updater = Updater('2140606085:AAHEBR3a_O9b8E8tbJFaWopDUvT4ptAUkP4')
|
||||
|
||||
updater.dispatcher.add_handler(MessageHandler(Filters.photo, start))
|
||||
updater.dispatcher.add_handler(CommandHandler('hello', hello))
|
||||
updater.start_polling()
|
||||
updater.idle()
|
||||
|
|
@ -0,0 +1,87 @@
|
|||
from telegram.ext import Updater, CommandHandler, MessageHandler, Filters
|
||||
import requests
|
||||
import json
|
||||
import telegram
|
||||
import re
|
||||
|
||||
endpoint = "http://bilioso.isti.cnr.it:8290/bcirtest/searchByURL"
|
||||
|
||||
|
||||
def start(update, context):
|
||||
chat_id = update.effective_chat.id
|
||||
# custom_keyboard = [['top-left', 'top-right'], ['bottom-left', 'bottom-right']]
|
||||
# reply_markup = telegram.ReplyKeyboardMarkup(custom_keyboard)
|
||||
# context.bot.send_message(chat_id=chat_id, text = "Custom Keyboard Test", reply_markup = reply_markup)
|
||||
# context.bot.send_message(chat_id=chat_id, text = "Custom Keyboard Test")
|
||||
photo_id = update.message.photo[-1].file_id
|
||||
query = context.bot.getFile(photo_id)
|
||||
params = {'url': query.file_path}
|
||||
print(query.file_path)
|
||||
# r = requests.get(endpoint, params=params)
|
||||
# json_res = json.loads(r.text)
|
||||
response = "Sorry, I can't recognize it :-("
|
||||
# if json_res is not None:
|
||||
# title = re.sub("\\d", "", json_res['title'])
|
||||
# response = "*" + json_res['author'] + "*, _" + title + "_\n\n"
|
||||
# response += json_res['artworkPage']
|
||||
# update.message.reply_text(response)
|
||||
text = endpoint + '?tohtml=true&url=' + query.file_path
|
||||
|
||||
|
||||
|
||||
|
||||
print(text)
|
||||
context.bot.send_message(chat_id=chat_id, text=text, parse_mode=telegram.ParseMode.HTML)
|
||||
|
||||
#-GEM-#
|
||||
params = {'url': query.file_path}
|
||||
r = requests.get(endpoint, params=params)
|
||||
text = json.loads(r.text)
|
||||
print(text)
|
||||
|
||||
context.bot.send_message(chat_id=chat_id, text='GEM', parse_mode=telegram.ParseMode.HTML)
|
||||
context.bot.send_message(chat_id=chat_id, text=text, parse_mode=telegram.ParseMode.HTML)
|
||||
|
||||
#-ORB-#
|
||||
params = {'url': query.file_path, 'rescorer': 'true', 'lf_impl': 'orb'}
|
||||
r = requests.get(endpoint, params=params)
|
||||
text = json.loads(r.text)
|
||||
print(text)
|
||||
context.bot.send_message(chat_id=chat_id, text='ORB', parse_mode=telegram.ParseMode.HTML)
|
||||
context.bot.send_message(chat_id=chat_id, text=text, parse_mode=telegram.ParseMode.HTML)
|
||||
|
||||
#-BEBLID-#
|
||||
params = {'url': query.file_path, 'rescorer': 'true', 'lf_impl': 'beblid'}
|
||||
r = requests.get(endpoint, params=params)
|
||||
text = json.loads(r.text)
|
||||
print(text)
|
||||
|
||||
context.bot.send_message(chat_id=chat_id, text='BEBLID', parse_mode=telegram.ParseMode.HTML)
|
||||
context.bot.send_message(chat_id=chat_id, text=text, parse_mode=telegram.ParseMode.HTML)
|
||||
|
||||
# -LATCH-#
|
||||
params = {'url': query.file_path, 'rescorer': 'true', 'lf_impl': 'latch'}
|
||||
r = requests.get(endpoint, params=params)
|
||||
text = json.loads(r.text)
|
||||
print(text)
|
||||
|
||||
context.bot.send_message(chat_id=chat_id, text='LATCH', parse_mode=telegram.ParseMode.HTML)
|
||||
context.bot.send_message(chat_id=chat_id, text=text, parse_mode=telegram.ParseMode.HTML)
|
||||
|
||||
def hello(bot, update):
|
||||
update.message.reply_text(
|
||||
'Hello {}'.format(update.message.from_user.first_name))
|
||||
|
||||
|
||||
def call_service(query):
|
||||
files = {'img': query}
|
||||
r = requests.post(endpoint, files=files)
|
||||
return r.text
|
||||
|
||||
|
||||
updater = Updater('2140606085:AAHEBR3a_O9b8E8tbJFaWopDUvT4ptAUkP4')
|
||||
|
||||
updater.dispatcher.add_handler(MessageHandler(Filters.photo, start))
|
||||
updater.dispatcher.add_handler(CommandHandler('hello', hello))
|
||||
updater.start_polling()
|
||||
updater.idle()
|
||||
|
|
@ -0,0 +1,10 @@
|
|||
import numpy as np
|
||||
import WebAppSettings as settings
|
||||
import requests
|
||||
|
||||
|
||||
def extract(img_path):
|
||||
files = {'image': ('img', open(img_path, 'rb'))}
|
||||
data = {'resize': 'true'}
|
||||
r = requests.post(settings.feature_extractor, data=data, files=files)
|
||||
return np.array(r.json())
|
||||
|
|
@ -0,0 +1,61 @@
|
|||
import h5py
|
||||
import numpy as np
|
||||
import WebAppSettings as settings
|
||||
|
||||
|
||||
class GEMSearcher:
|
||||
|
||||
|
||||
def __init__(self):
|
||||
#self.dataset = h5py.File(settings.dataset_file, 'r')['rmac'][...]
|
||||
|
||||
#np.save('/media/Data/data/beni_culturali/deploy/dataset', self.dataset)
|
||||
self.descs = np.load(settings.DATASET_GEM)
|
||||
#self.desc1 = np.load(settings.DATASET1)
|
||||
#self.desc2 = np.load(settings.DATASET2)
|
||||
|
||||
#self.descs = (self.desc1 + self.desc2) / 2
|
||||
#self.descs /= np.linalg.norm(self.descs, axis=1, keepdims=True)
|
||||
self.ids = np.loadtxt(settings.DATASET_IDS, dtype=str).tolist()
|
||||
|
||||
|
||||
def get_id(self, idx):
|
||||
return self.ids[idx]
|
||||
|
||||
|
||||
def add(self, desc, id):
|
||||
self.ids.append(id)
|
||||
self.descs = np.vstack((self.descs, desc))
|
||||
self.save()
|
||||
|
||||
|
||||
def remove(self, id):
|
||||
idx = self.ids.index(id)
|
||||
del self.ids[idx]
|
||||
self.descs = np.delete(self.descs, idx, axis=0)
|
||||
|
||||
|
||||
def search_by_id(self, query_id, k=10):
|
||||
query_idx = self.ids.index(query_id)
|
||||
return self.search_by_img(self.descs[query_idx], k)
|
||||
|
||||
def search_by_img(self, query, k=10):
|
||||
# print('----------query features-------')
|
||||
#print(query)
|
||||
dot_product = np.dot(self.descs, query[0])
|
||||
idx = dot_product.argsort()[::-1][:k]
|
||||
res = []
|
||||
for i in idx:
|
||||
res.append((self.ids[i], round(float(dot_product[i]), 3)))
|
||||
return res
|
||||
|
||||
def save(self, is_backup=False):
|
||||
descs_file = settings.DATASET
|
||||
ids_file = settings.DATASET_IDS
|
||||
|
||||
if is_backup:
|
||||
descs_file += '.bak'
|
||||
ids_file += '.bak'
|
||||
|
||||
np.save(descs_file, self.descs)
|
||||
np.savetxt(ids_file, self.ids, fmt='%s')
|
||||
|
|
@ -0,0 +1,16 @@
|
|||
from PIL import Image
|
||||
import pyheif
|
||||
|
||||
def conv(image_path):
|
||||
new_name = image_path.replace('heic', 'png')
|
||||
heif_file = pyheif.read(image_path)
|
||||
data = Image.frombytes(
|
||||
heif_file.mode,
|
||||
heif_file.size,
|
||||
heif_file.data,
|
||||
"raw",
|
||||
heif_file.mode,
|
||||
heif_file.stride,
|
||||
)
|
||||
data.save(new_name, "PNG")
|
||||
return new_name
|
||||
|
|
@ -0,0 +1,33 @@
|
|||
from pathlib import Path
|
||||
import tqdm
|
||||
|
||||
import LFUtilities
|
||||
import LATCHExtractor as lf
|
||||
import argparse
|
||||
import os
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
parser = argparse.ArgumentParser(description='LATCH bulk extraction')
|
||||
parser.add_argument('src', type=str, help='text file containing a list of img paths')
|
||||
parser.add_argument('dest', type=str, help='LATCH dest file')
|
||||
|
||||
args = parser.parse_args()
|
||||
src = args.src
|
||||
dest = args.dest
|
||||
|
||||
with open(src, 'r') as src_file:
|
||||
dataset = []
|
||||
|
||||
print('Extracting lf...')
|
||||
for line in src_file:
|
||||
try:
|
||||
kp, des = lf.extract(line.strip())
|
||||
dataset.append((kp, des))
|
||||
except:
|
||||
print("cannot process '%s'" % line)
|
||||
pass
|
||||
|
||||
LFUtilities.save(dataset, dest)
|
||||
|
||||
print('lf extracted.')
|
||||
|
|
@ -0,0 +1,16 @@
|
|||
import cv2
|
||||
import LFUtilities
|
||||
|
||||
import LATCHParameters as params
|
||||
|
||||
detector = cv2.ORB_create(params.KEYPOINTS)
|
||||
#descriptor = cv2.xfeatures2d.LATCH_create(1, True, 15)
|
||||
descriptor = cv2.xfeatures2d.LATCH_create()
|
||||
|
||||
|
||||
def extract(img_path):
|
||||
img = LFUtilities.resize(params.IMG_SIZE, cv2.imread(img_path))
|
||||
kp = detector.detect(img, None)
|
||||
kp, des = descriptor.compute(img, kp)
|
||||
return (kp, des)
|
||||
|
||||
|
|
@ -0,0 +1,5 @@
|
|||
THRESHOLD = 70
|
||||
MIN_GOOD_MATCHES = 12
|
||||
MIN_INLIERS = 8
|
||||
KEYPOINTS = 5000
|
||||
IMG_SIZE = 500
|
||||
|
|
@ -0,0 +1,67 @@
|
|||
import cv2
|
||||
import numpy as np
|
||||
|
||||
import LFUtilities
|
||||
import LATCHParameters
|
||||
import WebAppSettings as settings
|
||||
|
||||
|
||||
class LATCHRescorer:
|
||||
|
||||
def __init__(self):
|
||||
self.lf = LFUtilities.load(settings.DATASET_LATCH)
|
||||
self.ids = np.loadtxt(settings.DATASET_IDS, dtype=str).tolist()
|
||||
|
||||
#self.orb = cv2.LATCH_create()
|
||||
self.bf = cv2.BFMatcher(cv2.NORM_HAMMING, crossCheck=True)
|
||||
|
||||
def rescore_by_id(self, query_id, resultset):
|
||||
query_idx = self.ids.index(query_id)
|
||||
return self.rescore_by_img(self.lf[query_idx], resultset)
|
||||
|
||||
def rescore_by_img(self, query, resultset):
|
||||
max_inliers = -1
|
||||
res = []
|
||||
|
||||
for data_id, _ in resultset:
|
||||
data_idx = self.ids.index(data_id)
|
||||
try:
|
||||
data_el = self.lf[data_idx]
|
||||
matches = self.bf.match(query[1], data_el[1])
|
||||
good = [m for m in matches if m.distance <= LATCHParameters.THRESHOLD]
|
||||
if len(good) > LATCHParameters.MIN_GOOD_MATCHES:
|
||||
src_pts = np.float32([query[0][m.queryIdx].pt for m in good]).reshape(-1, 1, 2)
|
||||
dst_pts = np.float32([data_el[0][m.trainIdx].pt for m in good]).reshape(-1, 1, 2)
|
||||
|
||||
M, mask = cv2.findHomography(src_pts, dst_pts, cv2.RANSAC, 1.0)
|
||||
matches_mask = mask.ravel().tolist()
|
||||
# print(len(good))
|
||||
inliers = np.count_nonzero(matches_mask)
|
||||
# print(inliers)
|
||||
if (inliers >= LATCHParameters.MIN_INLIERS and inliers > max_inliers):
|
||||
max_inliers = inliers
|
||||
res.append((data_id, inliers))
|
||||
except:
|
||||
print('rescore error evaluating ' + data_id)
|
||||
pass
|
||||
|
||||
if res:
|
||||
res.sort(key=lambda result: result[1], reverse=True)
|
||||
return res
|
||||
|
||||
def add(self, lf):
|
||||
self.lf.append(lf)
|
||||
|
||||
def remove(self, idx):
|
||||
self.descs = np.delete(self.descs, idx, axis=0)
|
||||
|
||||
def save(self, is_backup=False):
|
||||
lf_save_file = settings.DATASET_LF
|
||||
ids_file = settings.DATASET_IDS_LF
|
||||
if lf_save_file != "None":
|
||||
if is_backup:
|
||||
lf_save_file += '.bak'
|
||||
ids_file += '.bak'
|
||||
|
||||
LFUtilities.save(lf_save_file, self.lf)
|
||||
np.savetxt(ids_file, self.ids, fmt='%s')
|
||||
|
|
@ -0,0 +1,38 @@
|
|||
from pathlib import Path
|
||||
import tqdm
|
||||
|
||||
import LFUtilities
|
||||
import ORBExtractor as lf
|
||||
import argparse
|
||||
import os
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
parser = argparse.ArgumentParser(description='LF bulk extraction')
|
||||
parser.add_argument('src', type=str, help='img src folder path')
|
||||
parser.add_argument('dest', type=str, help='lf dest folder')
|
||||
|
||||
args = parser.parse_args()
|
||||
src = args.src
|
||||
dest = args.dest
|
||||
|
||||
paths = Path(src).rglob('*.*')
|
||||
paths_list = list(paths)
|
||||
|
||||
dataset = []
|
||||
|
||||
print('Extracting lf...')
|
||||
for path in tqdm.tqdm(paths_list):
|
||||
try:
|
||||
kp, des = lf.extract(os.path.join(path.parent, path.name))
|
||||
dataset.append((kp, des))
|
||||
except:
|
||||
print("cannot process '%s'" % path)
|
||||
pass
|
||||
|
||||
LFUtilities.save(dataset, os.path.join(dest, 'dataset_lf.dat'))
|
||||
with open(os.path.join(dest, 'dataset_lf.ids'), 'w') as f:
|
||||
for path in paths_list:
|
||||
id, _ = os.path.splitext(path.name)
|
||||
f.write("%s\n" % id)
|
||||
print('lf extracted.')
|
||||
|
|
@ -0,0 +1,54 @@
|
|||
import cv2
|
||||
import numpy as np
|
||||
import pickle as pickle
|
||||
|
||||
import LFUtilities
|
||||
import WebAppSettings as settings
|
||||
from BEBLIDSearcher import BEBLIDSearcher
|
||||
import GEMExtractor as fe
|
||||
import ORBExtractor as lf
|
||||
import BEBLIDExtractor as beblid_lf
|
||||
import LATCHExtractor as latch_lf
|
||||
|
||||
|
||||
class Searcher:
|
||||
|
||||
def __init__(self):
|
||||
# self.dataset = h5py.File(settings.dataset_file, 'r')['rmac'][...]
|
||||
|
||||
# np.save('/media/Data/data/beni_culturali/deploy/dataset', self.dataset)
|
||||
self.search_engine = BEBLIDSearcher()
|
||||
|
||||
def get_id(self, idx):
|
||||
return self.search_engine.get_id(idx)
|
||||
|
||||
def add(self, img_file, id):
|
||||
self.save(True)
|
||||
|
||||
desc = fe.extract(img_file)
|
||||
orb = lf.extract(img_file)
|
||||
self.search_engine.add(desc, id)
|
||||
|
||||
self.save()
|
||||
print('added ' + id)
|
||||
|
||||
def remove(self, id):
|
||||
self.save(True)
|
||||
self.search_engine.remove(id)
|
||||
self.save()
|
||||
print('removed ' + id)
|
||||
|
||||
def search_by_id(self, query_id, k=10):
|
||||
kq = k
|
||||
res = self.search_engine.search_by_id(query_id)
|
||||
return res
|
||||
|
||||
def search_by_img(self, query_img, k=10):
|
||||
kq = k
|
||||
query_desc = beblid_lf.extract(query_img)
|
||||
res = self.search_engine.search_by_img(query_desc)
|
||||
return res
|
||||
|
||||
def save(self, is_backup=False):
|
||||
self.search_engine.save(is_backup)
|
||||
#self.rescorer.save(is_backup)
|
||||
|
|
@ -0,0 +1,59 @@
|
|||
import cv2
|
||||
import numpy as np
|
||||
import pickle as pickle
|
||||
import os
|
||||
|
||||
def resize(max_side, img):
|
||||
if img.shape[1] > img.shape[0]:
|
||||
r = max_side / img.shape[1]
|
||||
dim = (max_side, int(img.shape[0] * r))
|
||||
else:
|
||||
r = max_side / img.shape[0]
|
||||
dim = (int(img.shape[1] * r), max_side)
|
||||
|
||||
# perform the actual resizing of the image and show it
|
||||
resized = cv2.resize(img, dim, interpolation=cv2.INTER_AREA)
|
||||
return resized
|
||||
|
||||
|
||||
def pickle_keypoints(keypoints, descriptors):
|
||||
i = 0
|
||||
temp_array = []
|
||||
for point in keypoints:
|
||||
temp = (point.pt, point.size, point.angle, point.response, point.octave,
|
||||
point.class_id, descriptors[i])
|
||||
i += 1
|
||||
temp_array.append(temp)
|
||||
return temp_array
|
||||
|
||||
|
||||
def unpickle_keypoints(array):
|
||||
keypoints = []
|
||||
descriptors = []
|
||||
for point in array:
|
||||
temp_feature = cv2.KeyPoint(x=point[0][0],y=point[0][1], size=point[1], angle=point[2], response=point[3], octave=point[4], class_id=point[5])
|
||||
temp_descriptor = point[6]
|
||||
keypoints.append(temp_feature)
|
||||
descriptors.append(temp_descriptor)
|
||||
return keypoints, np.array(descriptors)
|
||||
|
||||
|
||||
def load(lf_path):
|
||||
print('loading LF dataset ' + lf_path)
|
||||
ser_dataset = pickle.load(open(lf_path, "rb"))
|
||||
lf_dataset = []
|
||||
for item in ser_dataset:
|
||||
kp, desc = unpickle_keypoints(item)
|
||||
lf_dataset.append((kp, desc))
|
||||
return lf_dataset
|
||||
|
||||
|
||||
def save(lf_data, lf_path):
|
||||
data = []
|
||||
for lf in lf_data:
|
||||
data.append(pickle_keypoints(lf[0], lf[1]))
|
||||
pickle.dump(data, open(lf_path, 'wb'))
|
||||
|
||||
|
||||
|
||||
|
||||
|
|
@ -0,0 +1,33 @@
|
|||
from pathlib import Path
|
||||
import tqdm
|
||||
|
||||
import LFUtilities
|
||||
import ORBExtractor as lf
|
||||
import argparse
|
||||
import os
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
parser = argparse.ArgumentParser(description='ORB bulk extraction')
|
||||
parser.add_argument('src', type=str, help='text file containing a list of img paths')
|
||||
parser.add_argument('dest', type=str, help='ORB dest file')
|
||||
|
||||
args = parser.parse_args()
|
||||
src = args.src
|
||||
dest = args.dest
|
||||
|
||||
with open(src, 'r') as src_file:
|
||||
dataset = []
|
||||
|
||||
print('Extracting lf...')
|
||||
for line in src_file:
|
||||
try:
|
||||
kp, des = lf.extract(line.strip())
|
||||
dataset.append((kp, des))
|
||||
except:
|
||||
print("cannot process '%s'" % line)
|
||||
pass
|
||||
|
||||
LFUtilities.save(dataset, dest)
|
||||
|
||||
print('lf extracted.')
|
||||
|
|
@ -0,0 +1,17 @@
|
|||
import cv2
|
||||
from pathlib import Path
|
||||
import tqdm
|
||||
import pickle
|
||||
import os
|
||||
|
||||
import LFUtilities
|
||||
import ORBParameters as params
|
||||
|
||||
orb = cv2.ORB.create(params.KEYPOINTS)
|
||||
|
||||
|
||||
def extract(img_path):
|
||||
img = LFUtilities.resize(params.IMG_SIZE, cv2.imread(img_path))
|
||||
kp, des = orb.detectAndCompute(img, mask=None)
|
||||
return (kp, des)
|
||||
|
||||
|
|
@ -0,0 +1,5 @@
|
|||
THRESHOLD = 35
|
||||
MIN_GOOD_MATCHES = 12
|
||||
MIN_INLIERS = 8
|
||||
KEYPOINTS = 5000
|
||||
IMG_SIZE = 500
|
||||
|
|
@ -0,0 +1,67 @@
|
|||
import cv2
|
||||
import numpy as np
|
||||
|
||||
import LFUtilities
|
||||
import ORBParameters
|
||||
import WebAppSettings as settings
|
||||
|
||||
|
||||
class ORBRescorer:
|
||||
|
||||
def __init__(self):
|
||||
self.lf = LFUtilities.load(settings.DATASET_LF)
|
||||
self.ids = np.loadtxt(settings.DATASET_IDS, dtype=str).tolist()
|
||||
|
||||
#self.orb = cv2.ORB_create()
|
||||
self.bf = cv2.BFMatcher(cv2.NORM_HAMMING, crossCheck=True)
|
||||
|
||||
def rescore_by_id(self, query_id, resultset):
|
||||
query_idx = self.ids.index(query_id)
|
||||
return self.rescore_by_img(self.lf[query_idx], resultset)
|
||||
|
||||
def rescore_by_img(self, query, resultset):
|
||||
max_inliers = -1
|
||||
res = []
|
||||
|
||||
for data_id, _ in resultset:
|
||||
data_idx = self.ids.index(data_id)
|
||||
try:
|
||||
data_el = self.lf[data_idx]
|
||||
matches = self.bf.match(query[1], data_el[1])
|
||||
good = [m for m in matches if m.distance <= ORBParameters.THRESHOLD]
|
||||
if len(good) > ORBParameters.MIN_GOOD_MATCHES:
|
||||
src_pts = np.float32([query[0][m.queryIdx].pt for m in good]).reshape(-1, 1, 2)
|
||||
dst_pts = np.float32([data_el[0][m.trainIdx].pt for m in good]).reshape(-1, 1, 2)
|
||||
|
||||
M, mask = cv2.findHomography(src_pts, dst_pts, cv2.RANSAC, 1.0)
|
||||
matches_mask = mask.ravel().tolist()
|
||||
# print(len(good))
|
||||
inliers = np.count_nonzero(matches_mask)
|
||||
# print(inliers)
|
||||
if (inliers >= ORBParameters.MIN_INLIERS and inliers > max_inliers):
|
||||
max_inliers = inliers
|
||||
res.append((data_id, inliers))
|
||||
except:
|
||||
print('rescore error evaluating ' + data_id)
|
||||
pass
|
||||
|
||||
if res:
|
||||
res.sort(key=lambda result: result[1], reverse=True)
|
||||
return res
|
||||
|
||||
def add(self, lf):
|
||||
self.lf.append(lf)
|
||||
|
||||
def remove(self, idx):
|
||||
self.descs = np.delete(self.descs, idx, axis=0)
|
||||
|
||||
def save(self, is_backup=False):
|
||||
lf_save_file = settings.DATASET_LF
|
||||
ids_file = settings.DATASET_IDS_LF
|
||||
if lf_save_file != "None":
|
||||
if is_backup:
|
||||
lf_save_file += '.bak'
|
||||
ids_file += '.bak'
|
||||
|
||||
LFUtilities.save(lf_save_file, self.lf)
|
||||
np.savetxt(ids_file, self.ids, fmt='%s')
|
||||
|
|
@ -0,0 +1,97 @@
|
|||
import json
|
||||
|
||||
import cv2
|
||||
import numpy as np
|
||||
import pickle as pickle
|
||||
|
||||
import LFUtilities
|
||||
import WebAppSettings as settings
|
||||
#from ORBRescorer import ORBRescorer
|
||||
from BEBLIDRescorer import BEBLIDRescorer
|
||||
#from LATCHRescorer import LATCHRescorer
|
||||
from GEMSearcher import GEMSearcher
|
||||
import GEMExtractor as fe
|
||||
import ORBExtractor as orb_lf
|
||||
import BEBLIDExtractor as beblid_lf
|
||||
import LATCHExtractor as latch_lf
|
||||
|
||||
|
||||
class Searcher:
|
||||
|
||||
GEM_THRESHOLD = 0.3
|
||||
|
||||
def __init__(self):
|
||||
# self.dataset = h5py.File(settings.dataset_file, 'r')['rmac'][...]
|
||||
|
||||
# np.save('/media/Data/data/beni_culturali/deploy/dataset', self.dataset)
|
||||
self.ids = np.loadtxt(settings.DATASET_IDS, dtype=str).tolist()
|
||||
|
||||
self.search_engine = GEMSearcher()
|
||||
|
||||
# self.orb_rescorer = ORBRescorer()
|
||||
self.beblid_rescorer = BEBLIDRescorer()
|
||||
#self.latch_rescorer = LATCHRescorer()
|
||||
|
||||
def get_id(self, idx):
|
||||
return self.search_engine.get_id(idx)
|
||||
|
||||
def add(self, img_file, id):
|
||||
# self.save(True)
|
||||
|
||||
#desc = fe.extract(img_file)
|
||||
#orb = lf.extract(img_file)
|
||||
#self.search_engine.add(desc, id)
|
||||
#self.rescorer.add(orb)
|
||||
|
||||
#self.save()
|
||||
print('added ' + id)
|
||||
|
||||
def remove(self, id):
|
||||
#self.save(True)
|
||||
#self.search_engine.remove(id)
|
||||
#self.rescorer.remove(idx)
|
||||
#self.save()
|
||||
print('removed ' + id)
|
||||
|
||||
def search_by_id(self, query_id, k=10, rescorer=False, lf_impl='BEBLID'):
|
||||
kq = k
|
||||
if rescorer:
|
||||
kq = settings.k_reorder
|
||||
res = self.search_engine.search_by_id(query_id, kq)
|
||||
if rescorer:
|
||||
if lf_impl == 'BEBLID':
|
||||
res_lf = self.beblid_rescorer.rescore_by_id(query_id, res)
|
||||
#res = res_lf if res_lf else res[:k]
|
||||
res = res_lf
|
||||
return res
|
||||
|
||||
def search_by_img(self, query_img, k=10, rescorer=False, lf_impl='BEBLID'):
|
||||
if rescorer:
|
||||
print(lf_impl)
|
||||
kq = k
|
||||
if rescorer:
|
||||
kq = settings.k_reorder
|
||||
query_desc = fe.extract(query_img)
|
||||
res = self.search_engine.search_by_img(query_desc, kq)
|
||||
print(res[0])
|
||||
if rescorer:
|
||||
if lf_impl == 'BEBLID':
|
||||
query_lf = beblid_lf.extract(query_img)
|
||||
res_lf = self.beblid_rescorer.rescore_by_img(query_lf, res)
|
||||
if res_lf:
|
||||
label = res_lf[0][0].split('/')[0]
|
||||
res = [label, res_lf[0][1]]
|
||||
else:
|
||||
res = None
|
||||
else:
|
||||
if res[0][1] > self.GEM_THRESHOLD:
|
||||
label = res[0][0].split('/')[0]
|
||||
res = [label, res[0][1]]
|
||||
else:
|
||||
res = None
|
||||
|
||||
return res
|
||||
|
||||
def save(self, is_backup=False):
|
||||
self.search_engine.save(is_backup)
|
||||
#self.rescorer.save(is_backup)
|
||||
|
|
@ -0,0 +1,21 @@
|
|||
import requests
|
||||
import base64
|
||||
|
||||
|
||||
BASE_URL = 'http://bilioso.isti.cnr.it:8190/bcir/'
|
||||
|
||||
image_path = '/home/paolo/Dropbox/extension_logs/352998a9ee4f490b9a56f84d05983168.png_90.jpg'
|
||||
|
||||
#searchByImg
|
||||
files = {'image': ('query', open(image_path, 'rb'))}
|
||||
post_data = {'securityID': 'A6mMmeWZ8JjWKz5', 'orientation': "1"}
|
||||
|
||||
r = requests.post(BASE_URL + 'searchByImg', files=files, data=post_data)
|
||||
print(r.json())
|
||||
|
||||
with open(image_path, "rb") as image_file:
|
||||
base64_img = base64.b64encode(image_file.read())
|
||||
base64_data = {'image': base64_img, 'securityID': 'FA6mMmeWZ8JjWKz5', 'orientation': "8"}
|
||||
|
||||
r = requests.post(BASE_URL + 'searchByImgB64', data=base64_data)
|
||||
print(r.json())
|
||||
|
|
@ -0,0 +1,56 @@
|
|||
|
||||
import json
|
||||
|
||||
from Searcher import Searcher
|
||||
import WebAppSettings as settings
|
||||
|
||||
|
||||
def search_by_img(img_file, lf_impl, rescorer=False):
|
||||
if lf_impl is not "GEM":
|
||||
rescorer = True
|
||||
results = searcher.search_by_img(img_file, settings.k, rescorer, lf_impl)
|
||||
return results
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
#testset= "/media/Data/data/extension/test_set/listfiles.txt"
|
||||
testset= "/media/Data/data/extension/merged_train_test/test/listfiles.txt"
|
||||
|
||||
settings.load_setting('conf_train_test.json')
|
||||
|
||||
global searcher
|
||||
searcher = Searcher()
|
||||
|
||||
# Using readlines()
|
||||
file1 = open(testset, 'r')
|
||||
Lines = file1.readlines()
|
||||
|
||||
count = 0
|
||||
# Strips the newline character
|
||||
|
||||
#features = ["GEM", "ORB", "LATCH", "BEBLID"]
|
||||
features = ["GEM", "BEBLID"]
|
||||
|
||||
|
||||
counters = {"GEM":0, "ORB":0, "LATCH":0, "BEBLID":0}
|
||||
count_orb = 0
|
||||
count_latch = 0
|
||||
count_beblid = 0
|
||||
|
||||
for line in Lines:
|
||||
classname_q = line.replace("/media/Data/data/extension/merged_train_test/test/", "").split("/")[0]
|
||||
print("Query {}: {}".format(count, line.strip()))
|
||||
for f in features:
|
||||
results = search_by_img(line.strip(), f)
|
||||
if results is None or results[0][1] < 0.3:
|
||||
results = ["unknown", 1.0]
|
||||
classname = results[0][0].split("/")[0]
|
||||
if (classname_q == classname):
|
||||
counters[f] = counters[f] + 1
|
||||
print(results[0][0] + '", "conf":' + str(results[0][1]))
|
||||
|
||||
count += 1
|
||||
|
||||
for f in features:
|
||||
print(f'{f}: {counters}/{count}')
|
||||
|
||||
|
|
@ -0,0 +1,72 @@
|
|||
|
||||
import json
|
||||
|
||||
from Searcher import Searcher
|
||||
import WebAppSettings as settings
|
||||
|
||||
def search_by_img(img_file, lf_impl, rescorer=False):
|
||||
if lf_impl is not "GEM":
|
||||
rescorer = True
|
||||
results = searcher.search_by_img(img_file, settings.k, rescorer, lf_impl)
|
||||
return results
|
||||
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
testset= "/media/Data/data/extension/test_set/listfiles.txt"
|
||||
|
||||
settings.load_setting('conf_test.json')
|
||||
|
||||
global searcher
|
||||
searcher = Searcher()
|
||||
|
||||
# Using readlines()
|
||||
file1 = open(testset, 'r')
|
||||
Lines = file1.readlines()
|
||||
|
||||
count = 0
|
||||
# Strips the newline character
|
||||
|
||||
features = ["GEM", "ORB", "LATCH", "BEBLID"]
|
||||
counters = {"GEM":0, "ORB":0, "LATCH":0, "BEBLID":0}
|
||||
# features = ["GEM", "BEBLID"]
|
||||
# counters = {"GEM":0, "BEBLID":0}
|
||||
|
||||
out_csv = ''
|
||||
|
||||
for line in Lines:
|
||||
classname_q = line.replace("/media/Data/data/extension/test_set/", "").split("/")[0]
|
||||
filename_q = line.replace("/media/Data/data/extension/test_set/", "").split("/")[1]
|
||||
print("Query {}: {}".format(count, line.strip()))
|
||||
|
||||
out_line = ''
|
||||
out_line = out_line + f'{classname_q},{filename_q};'
|
||||
|
||||
for f in features:
|
||||
results = search_by_img(line.strip(), f)
|
||||
if results is None:
|
||||
results = ["unknown", 1.0]
|
||||
classname = results[0][0].split("/")[0]
|
||||
filename = results[0][0].split("/")[1]
|
||||
if (classname_q == classname):
|
||||
counters[f] = counters[f] + 1
|
||||
print(results[0][0] + '", "conf":' + str(results[0][1]))
|
||||
|
||||
out_line = out_line + f'{classname},{filename},{results[0][1]};'
|
||||
|
||||
print(out_line)
|
||||
out_csv = out_line + '\n'
|
||||
count += 1
|
||||
|
||||
print(f'{f}: {counters}/{count}')
|
||||
print(f'GEM accuracy: {counters["GEM"]}/{count}')
|
||||
print(f'BEBLID accuracy: {counters["BEBLID"]}/{count}')
|
||||
|
||||
#open text file
|
||||
out_file = open("out_csv.txt", "w")
|
||||
|
||||
#write string to file
|
||||
out_file.write(out_csv)
|
||||
|
||||
#close file
|
||||
out_file.close()
|
||||
|
|
@ -0,0 +1,47 @@
|
|||
import glob, os
|
||||
from PIL import Image
|
||||
import argparse
|
||||
from pathlib import Path
|
||||
import tqdm
|
||||
|
||||
|
||||
w, h = 200,120
|
||||
|
||||
PATTERN = 'keyframes'
|
||||
REPLACE = 'thumbs'
|
||||
|
||||
|
||||
def resize_img(src, dest):
|
||||
paths = Path(src).rglob('*.*')
|
||||
paths_list = list(paths)
|
||||
|
||||
for path in tqdm.tqdm(paths_list):
|
||||
outfile = str(path).replace(PATTERN, REPLACE)
|
||||
folders = os.path.dirname(outfile)
|
||||
|
||||
#print(outfile)
|
||||
|
||||
if not os.path.isdir(folders):
|
||||
#print(folders)
|
||||
os.makedirs(folders)
|
||||
|
||||
try:
|
||||
im = Image.open(path)
|
||||
if im.mode in ("RGBA", "P"):
|
||||
im = im.convert("RGB")
|
||||
im.thumbnail((w, h), Image.ANTIALIAS)
|
||||
im.save(outfile, "JPEG")
|
||||
except IOError:
|
||||
print("cannot create thumbnail for '%s'" % path)
|
||||
pass
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
# parser = argparse.ArgumentParser(description='Image resizing')
|
||||
# parser.add_argument('src', type=str, help='images source folder path')
|
||||
# parser.add_argument('dest', type=str, help='images dest folder path')
|
||||
|
||||
#args = parser.parse_args()
|
||||
#resize_img(args.src, args.dest)
|
||||
resize_img('/media/Data/data/rai/img/keyframes', '/media/Data/data/rai/img/keyframes')
|
||||
#resize_img('/media/Data/data/test/gem/img/originals/ImmaginiComparazioni', '/media/Data/data/test/gem/img/ImmaginiComparazioni_resized')
|
||||
|
|
@ -0,0 +1,276 @@
|
|||
from re import split
|
||||
|
||||
from flask import Flask, request, redirect, url_for, flash, render_template, send_from_directory, abort, Response, session
|
||||
from random import randint
|
||||
import cv2
|
||||
import io
|
||||
import numpy as np
|
||||
import json
|
||||
|
||||
import urllib
|
||||
|
||||
import LFUtilities
|
||||
from Searcher import Searcher
|
||||
from GEMSearcher import GEMSearcher
|
||||
import WebAppSettings as settings
|
||||
import uuid
|
||||
import requests
|
||||
import os, os.path
|
||||
from PIL import Image
|
||||
import tornado.wsgi
|
||||
import tornado.httpserver
|
||||
import argparse
|
||||
import base64
|
||||
from Heic2Png import conv
|
||||
from datetime import datetime
|
||||
|
||||
|
||||
app = Flask(__name__)
|
||||
app.secret_key = "27eduCBA09"
|
||||
|
||||
|
||||
|
||||
security_id = 'FA6mMmeWZ8JjWKz5'
|
||||
rescorer = False
|
||||
lf_impl = 'BEBLID'
|
||||
|
||||
HEIC_MAGIC_NUMBER = "AAAAGGZ0eXA="
|
||||
|
||||
|
||||
@app.route('/bcir/')
|
||||
def api_root():
|
||||
print('index_with_randoms.html')
|
||||
random_ids = []
|
||||
for i in range(0, 15):
|
||||
random_ids.append(searcher.get_id(randint(0, 600)))
|
||||
return render_template('index_with_randoms.html', random_ids=random_ids)
|
||||
|
||||
|
||||
def url_to_file(url):
|
||||
dest_file = uuid.uuid4().hex + ".png"
|
||||
session["query"] = settings.log_folder + '/' + dest_file
|
||||
|
||||
dest_path = settings.logs + "/" + dest_file
|
||||
req = urllib.request.Request(
|
||||
url,
|
||||
data=None,
|
||||
headers={
|
||||
'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_9_3) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/35.0.1916.47 Safari/537.36'
|
||||
}
|
||||
)
|
||||
resp = urllib.request.urlopen(req)
|
||||
image = np.asarray(bytearray(resp.read()), dtype="uint8")
|
||||
decoded = cv2.imdecode(image, cv2.IMREAD_COLOR)
|
||||
resized = LFUtilities.resize(500, decoded)
|
||||
cv2.imwrite(dest_path, resized)
|
||||
#im = Image.fromarray(image)
|
||||
#im.save(dest_path)
|
||||
return dest_path
|
||||
|
||||
|
||||
def post_to_file(image):
|
||||
dest_file = uuid.uuid4().hex + ".png"
|
||||
session["query"] = settings.log_folder + '/' + dest_file
|
||||
dest_path = settings.logs + "/" + dest_file
|
||||
|
||||
in_memory_file = io.BytesIO()
|
||||
image.save(in_memory_file)
|
||||
data = np.fromstring(in_memory_file.getvalue(), dtype=np.uint8)
|
||||
decoded = cv2.imdecode(data, cv2.IMREAD_COLOR)
|
||||
resized = LFUtilities.resize(500, decoded)
|
||||
cv2.imwrite(dest_path, resized)
|
||||
return dest_path
|
||||
|
||||
def set_rescorer(rescore_param):
|
||||
global rescorer
|
||||
if rescore_param is not None:
|
||||
if rescore_param == 'true':
|
||||
rescorer = True
|
||||
elif rescore_param == 'false':
|
||||
rescorer = False
|
||||
|
||||
def base64_to_file(image_base64):
|
||||
ext = ".jpg"
|
||||
if (image_base64.startswith(HEIC_MAGIC_NUMBER)):
|
||||
ext = ".heic"
|
||||
dest_file = uuid.uuid4().hex + ext
|
||||
dest_path = settings.logs + "/" + dest_file
|
||||
with open(dest_path, "wb") as image_file:
|
||||
byte_content = base64.b64decode(image_base64)
|
||||
image_file.write(byte_content)
|
||||
if (image_base64.startswith(HEIC_MAGIC_NUMBER)):
|
||||
dest_path = conv(dest_path)
|
||||
return dest_path
|
||||
|
||||
|
||||
def get_res(results, query_url=None, img_base64=None):
|
||||
if query_url is not None:
|
||||
return render_template('search.html', results=results, query_url=query_url)
|
||||
elif results is None:
|
||||
results = '{"classname":"Unknown"}'
|
||||
else:
|
||||
results = '{"classname":"' + results[0] + '", "conf":' + str(results[1]) + '}'
|
||||
print(results)
|
||||
json_res = json.dumps(results)
|
||||
print(json_res)
|
||||
if img_base64 != None:
|
||||
html_txt = str(datetime.now())
|
||||
html_txt += '</br>'
|
||||
html_txt += results
|
||||
html_txt += '</br>'
|
||||
html_txt += '<img height="256" src="data:image/png;base64,' + img_base64 + '">'
|
||||
html_txt += '</br></br></br>'
|
||||
html_txt += '\n'
|
||||
with open("/home/paolo/Dropbox/extension_logs/report.html", "a+") as myfile:
|
||||
myfile.write(html_txt)
|
||||
return json_res
|
||||
|
||||
def get_resDict(results, query_url=None):
|
||||
if query_url is not None:
|
||||
return render_template('search.html', results=results, query_url=query_url)
|
||||
elif results is None:
|
||||
results = {"classname":"Unknown"}
|
||||
else:
|
||||
results = {"classname":"' + results[0][0] + '", "conf":' + str(results[0][1]) + '}
|
||||
print(results)
|
||||
json_res = json.dumps(results)
|
||||
print(json_res)
|
||||
|
||||
return json_res
|
||||
|
||||
|
||||
@app.route('/bcir/searchById')
|
||||
def search_by_id():
|
||||
id = request.args.get('id')
|
||||
set_rescorer(request.args.get("rescorer"))
|
||||
results = searcher.search_by_id(id, settings.k, rescorer, lf_impl)
|
||||
query_url = None
|
||||
if request.args.get("tohtml") is not None:
|
||||
query_url = id + ".jpg"
|
||||
return get_res(results, query_url)
|
||||
|
||||
|
||||
@app.route('/bcir/searchByImg', methods=['POST'])
|
||||
def search_by_img():
|
||||
if 'image' not in request.files:
|
||||
return Response(json.dumps("Error, unable to get the image"), status=401, mimetype='application/json')
|
||||
|
||||
sec_id = request.form.get("securityID")
|
||||
#if sec_id != security_id:
|
||||
# return Response(json.dumps("Error 401, not authorized"), status=401, mimetype='application/json')
|
||||
|
||||
file = request.files['image']
|
||||
img_file = post_to_file(file)
|
||||
set_rescorer(request.form.get("rescorer"))
|
||||
|
||||
results = searcher.search_by_img(img_file, settings.k, rescorer, lf_impl)
|
||||
query_url = None
|
||||
if request.form.get("tohtml") is not None:
|
||||
query_url = ""
|
||||
return get_res(results, query_url)
|
||||
|
||||
@app.route('/bcir/searchByImgB64', methods=['POST'])
|
||||
def search_by_img_base64():
|
||||
print("query by base64 received")
|
||||
#print(request)
|
||||
#print(request.form)
|
||||
sec_id = request.form.get("securityID")
|
||||
|
||||
#to fix a problem with photo orientation
|
||||
try:
|
||||
orientation = request.form.get("orientation")
|
||||
orientation = int(orientation)
|
||||
except:
|
||||
orientation = 1
|
||||
|
||||
#if sec_id != security_id:
|
||||
# return Response(json.dumps("Error 401, not authorized"), status=401, mimetype='application/json')
|
||||
image = request.form.get('image')
|
||||
if image:
|
||||
img_file = base64_to_file(image)
|
||||
else:
|
||||
flash('No img sent')
|
||||
return redirect(request.url)
|
||||
|
||||
set_rescorer(request.form.get("rescorer"))
|
||||
results = searcher.search_by_img(img_file, settings.k, rescorer, lf_impl)
|
||||
query_url = None
|
||||
if request.form.get("tohtml") is not None:
|
||||
query_url = ""
|
||||
return get_res(results, query_url, img_base64=image)
|
||||
|
||||
|
||||
@app.route('/bcir/searchByURL')
|
||||
def search_by_url():
|
||||
sec_id = request.args.get("securityID")
|
||||
#if sec_id != security_id:
|
||||
# return Response(json.dumps("Error 401, not authorized"), status=401, mimetype='application/json')
|
||||
url = request.args.get('url')
|
||||
img_file = url_to_file(url)
|
||||
set_rescorer(request.args.get("rescorer"))
|
||||
results = searcher.search_by_img(img_file, settings.k, rescorer, lf_impl)
|
||||
query_url = None
|
||||
if request.args.get("tohtml") is not None:
|
||||
query_url = url
|
||||
return get_res(results, query_url)
|
||||
|
||||
@app.route('/bcir/setRescorer')
|
||||
def set_bot_rescorer():
|
||||
set_rescorer(request.args.get("rescorer"))
|
||||
return "Rescorer set to " + str(rescorer)
|
||||
|
||||
|
||||
@app.route('/bcir/<path:filename>')
|
||||
def download_file(filename):
|
||||
print(filename)
|
||||
values = filename.split('/')
|
||||
folder = values[0]
|
||||
name = values[1]
|
||||
print(folder)
|
||||
print(name)
|
||||
|
||||
return send_from_directory(settings.working_folder + '/' + folder, name, as_attachment=False)
|
||||
|
||||
"""
|
||||
if __name__ == '__main__':
|
||||
parser = argparse.ArgumentParser(description='Reading configuration file')
|
||||
parser.add_argument('conf', type=str, help='Configuration file path')
|
||||
|
||||
args = parser.parse_args()
|
||||
settings.load_setting(args.conf)
|
||||
global searcher
|
||||
searcher = BeniCulturaliSearcher()
|
||||
|
||||
#app.run(host='0.0.0.0', port=8090, ssl_context='adhoc')
|
||||
app.run(host='0.0.0.0', port=settings.port)
|
||||
|
||||
# app.run(host='0.0.0.0', port=settings.port)
|
||||
"""
|
||||
|
||||
def start_tornado(app, port=8190):
|
||||
http_server = tornado.httpserver.HTTPServer(tornado.wsgi.WSGIContainer(app))
|
||||
http_server.listen(port)
|
||||
app.logger.info("Tornado server starting on port {}".format(port))
|
||||
tornado.ioloop.IOLoop.instance().start()
|
||||
|
||||
|
||||
def start_from_terminal(app):
|
||||
parser = argparse.ArgumentParser(description='Reading configuration file')
|
||||
parser.add_argument('conf', type=str, help='Configuration file path')
|
||||
|
||||
args = parser.parse_args()
|
||||
settings.load_setting(args.conf)
|
||||
global searcher
|
||||
searcher = Searcher()
|
||||
|
||||
#if args.debug:
|
||||
# app.run(debug=True, host='0.0.0.0', port=settings.port)
|
||||
# else:
|
||||
#start_tornado(app, settings.port)
|
||||
|
||||
app.run(debug=True, host='0.0.0.0', port=settings.port)
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
start_from_terminal(app)
|
||||
|
||||
|
|
@ -0,0 +1,283 @@
|
|||
from re import split
|
||||
|
||||
from flask import Flask, request, redirect, url_for, flash, render_template, send_from_directory, abort, Response, session
|
||||
from random import randint
|
||||
import cv2
|
||||
import io
|
||||
import numpy as np
|
||||
import json
|
||||
|
||||
import urllib
|
||||
|
||||
import LFUtilities
|
||||
from Searcher import Searcher
|
||||
from GEMSearcher import GEMSearcher
|
||||
import WebAppSettings as settings
|
||||
import uuid
|
||||
import requests
|
||||
import os, os.path
|
||||
from PIL import Image
|
||||
import tornado.wsgi
|
||||
import tornado.httpserver
|
||||
import argparse
|
||||
import base64
|
||||
from Heic2Png import conv
|
||||
from datetime import datetime
|
||||
|
||||
|
||||
app = Flask(__name__)
|
||||
app.secret_key = "27eduCBA09"
|
||||
|
||||
|
||||
|
||||
security_id = 'FA6mMmeWZ8JjWKz5'
|
||||
rescorer = False
|
||||
lf_impl = 'BEBLID'
|
||||
|
||||
HEIC_MAGIC_NUMBER = "AAAAGGZ0eXA="
|
||||
|
||||
|
||||
@app.route('/bcir/')
|
||||
def api_root():
|
||||
print('index_with_randoms.html')
|
||||
random_ids = []
|
||||
for i in range(0, 15):
|
||||
random_ids.append(searcher.get_id(randint(0, 600)))
|
||||
return render_template('index_with_randoms.html', random_ids=random_ids)
|
||||
|
||||
|
||||
def url_to_file(url):
|
||||
dest_file = uuid.uuid4().hex + ".png"
|
||||
session["query"] = settings.log_folder + '/' + dest_file
|
||||
|
||||
dest_path = settings.logs + "/" + dest_file
|
||||
req = urllib.request.Request(
|
||||
url,
|
||||
data=None,
|
||||
headers={
|
||||
'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_9_3) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/35.0.1916.47 Safari/537.36'
|
||||
}
|
||||
)
|
||||
resp = urllib.request.urlopen(req)
|
||||
image = np.asarray(bytearray(resp.read()), dtype="uint8")
|
||||
decoded = cv2.imdecode(image, cv2.IMREAD_COLOR)
|
||||
resized = LFUtilities.resize(500, decoded)
|
||||
cv2.imwrite(dest_path, resized)
|
||||
#im = Image.fromarray(image)
|
||||
#im.save(dest_path)
|
||||
return dest_path
|
||||
|
||||
|
||||
def post_to_file(image):
|
||||
dest_file = uuid.uuid4().hex + ".png"
|
||||
session["query"] = settings.log_folder + '/' + dest_file
|
||||
dest_path = settings.logs + "/" + dest_file
|
||||
|
||||
in_memory_file = io.BytesIO()
|
||||
image.save(in_memory_file)
|
||||
data = np.fromstring(in_memory_file.getvalue(), dtype=np.uint8)
|
||||
decoded = cv2.imdecode(data, cv2.IMREAD_COLOR)
|
||||
resized = LFUtilities.resize(500, decoded)
|
||||
cv2.imwrite(dest_path, resized)
|
||||
return dest_path
|
||||
|
||||
def set_rescorer(rescore_param):
|
||||
global rescorer
|
||||
if rescore_param is not None:
|
||||
if rescore_param == 'true':
|
||||
rescorer = True
|
||||
elif rescore_param == 'false':
|
||||
rescorer = False
|
||||
|
||||
def base64_to_file(image_base64):
|
||||
ext = ".jpg"
|
||||
if (image_base64.startswith(HEIC_MAGIC_NUMBER)):
|
||||
ext = ".heic"
|
||||
dest_file = uuid.uuid4().hex + ext
|
||||
dest_path = settings.logs + "/" + dest_file
|
||||
with open(dest_path, "wb") as image_file:
|
||||
byte_content = base64.b64decode(image_base64)
|
||||
image_file.write(byte_content)
|
||||
if (image_base64.startswith(HEIC_MAGIC_NUMBER)):
|
||||
dest_path = conv(dest_path)
|
||||
return dest_path
|
||||
|
||||
|
||||
def get_res(results, query_url=None, img_base64=None):
|
||||
if query_url is not None:
|
||||
return render_template('search.html', results=results, query_url=query_url)
|
||||
elif results is None:
|
||||
results = '{"classname":"Unknown"}'
|
||||
else:
|
||||
results = '{"classname":"' + results[0] + '", "conf":' + str(results[1]) + '}'
|
||||
print(results)
|
||||
json_res = json.dumps(results)
|
||||
print(json_res)
|
||||
if img_base64 != None:
|
||||
html_txt = str(datetime.now())
|
||||
html_txt += '</br>'
|
||||
html_txt += results
|
||||
html_txt += '</br>'
|
||||
html_txt += '<img height="256" src="data:image/png;base64,' + img_base64 + '">'
|
||||
html_txt += '</br></br></br>'
|
||||
html_txt += '\n'
|
||||
with open("/home/paolo/Dropbox/extension_logs/report.html", "a+") as myfile:
|
||||
myfile.write(html_txt)
|
||||
return json_res
|
||||
|
||||
def get_resDict(results, query_url=None):
|
||||
if query_url is not None:
|
||||
return render_template('search.html', results=results, query_url=query_url)
|
||||
elif results is None:
|
||||
results = {"classname":"Unknown"}
|
||||
else:
|
||||
results = {"classname":"' + results[0][0] + '", "conf":' + str(results[0][1]) + '}
|
||||
print(results)
|
||||
json_res = json.dumps(results)
|
||||
print(json_res)
|
||||
|
||||
return json_res
|
||||
|
||||
def rotate_img(img_path, degree):
|
||||
im1 = Image.open(img_path)
|
||||
im2 = im1.rotate(degree)
|
||||
dest = img_path + str(degree) + ".jpg"
|
||||
im2.save(dest)
|
||||
return dest
|
||||
|
||||
|
||||
@app.route('/bcir/searchById')
|
||||
def search_by_id():
|
||||
id = request.args.get('id')
|
||||
set_rescorer(request.args.get("rescorer"))
|
||||
results = searcher.search_by_id(id, settings.k, rescorer, lf_impl)
|
||||
query_url = None
|
||||
if request.args.get("tohtml") is not None:
|
||||
query_url = id + ".jpg"
|
||||
return get_res(results, query_url)
|
||||
|
||||
|
||||
@app.route('/bcir/searchByImg', methods=['POST'])
|
||||
def search_by_img():
|
||||
if 'image' not in request.files:
|
||||
return Response(json.dumps("Error, unable to get the image"), status=401, mimetype='application/json')
|
||||
|
||||
sec_id = request.form.get("securityID")
|
||||
#if sec_id != security_id:
|
||||
# return Response(json.dumps("Error 401, not authorized"), status=401, mimetype='application/json')
|
||||
|
||||
file = request.files['image']
|
||||
img_file = post_to_file(file)
|
||||
set_rescorer(request.form.get("rescorer"))
|
||||
|
||||
results = searcher.search_by_img(img_file, settings.k, rescorer, lf_impl)
|
||||
query_url = None
|
||||
if request.form.get("tohtml") is not None:
|
||||
query_url = ""
|
||||
return get_res(results, query_url)
|
||||
|
||||
@app.route('/bcir/searchByImgB64', methods=['POST'])
|
||||
def search_by_img_base64():
|
||||
print("query by base64 received")
|
||||
#print(request)
|
||||
#print(request.form)
|
||||
sec_id = request.form.get("securityID")
|
||||
#if sec_id != security_id:
|
||||
# return Response(json.dumps("Error 401, not authorized"), status=401, mimetype='application/json')
|
||||
image = request.form.get('image')
|
||||
if image:
|
||||
img_file = base64_to_file(image)
|
||||
else:
|
||||
flash('No img sent')
|
||||
return redirect(request.url)
|
||||
|
||||
set_rescorer(request.form.get("rescorer"))
|
||||
results = searcher.search_by_img(img_file, settings.k, rescorer, lf_impl)
|
||||
if results is None:
|
||||
print('No results. trying ' + str(90) + ' degrees')
|
||||
degree_90 = rotate_img(img_file, 90)
|
||||
results = searcher.search_by_img(degree_90, settings.k, rescorer, lf_impl)
|
||||
if results is None:
|
||||
print('No results. trying ' + str(270) + ' degrees')
|
||||
degree_270 = rotate_img(img_file, 270)
|
||||
results = searcher.search_by_img(degree_270, settings.k, rescorer, lf_impl)
|
||||
query_url = None
|
||||
if request.form.get("tohtml") is not None:
|
||||
query_url = ""
|
||||
return get_res(results, query_url, img_base64=image)
|
||||
|
||||
|
||||
@app.route('/bcir/searchByURL')
|
||||
def search_by_url():
|
||||
sec_id = request.args.get("securityID")
|
||||
#if sec_id != security_id:
|
||||
# return Response(json.dumps("Error 401, not authorized"), status=401, mimetype='application/json')
|
||||
url = request.args.get('url')
|
||||
img_file = url_to_file(url)
|
||||
set_rescorer(request.args.get("rescorer"))
|
||||
results = searcher.search_by_img(img_file, settings.k, rescorer, lf_impl)
|
||||
query_url = None
|
||||
if request.args.get("tohtml") is not None:
|
||||
query_url = url
|
||||
return get_res(results, query_url)
|
||||
|
||||
@app.route('/bcir/setRescorer')
|
||||
def set_bot_rescorer():
|
||||
set_rescorer(request.args.get("rescorer"))
|
||||
return "Rescorer set to " + str(rescorer)
|
||||
|
||||
|
||||
@app.route('/bcir/<path:filename>')
|
||||
def download_file(filename):
|
||||
print(filename)
|
||||
values = filename.split('/')
|
||||
folder = values[0]
|
||||
name = values[1]
|
||||
print(folder)
|
||||
print(name)
|
||||
|
||||
return send_from_directory(settings.working_folder + '/' + folder, name, as_attachment=False)
|
||||
|
||||
"""
|
||||
if __name__ == '__main__':
|
||||
parser = argparse.ArgumentParser(description='Reading configuration file')
|
||||
parser.add_argument('conf', type=str, help='Configuration file path')
|
||||
|
||||
args = parser.parse_args()
|
||||
settings.load_setting(args.conf)
|
||||
global searcher
|
||||
searcher = BeniCulturaliSearcher()
|
||||
|
||||
#app.run(host='0.0.0.0', port=8090, ssl_context='adhoc')
|
||||
app.run(host='0.0.0.0', port=settings.port)
|
||||
|
||||
# app.run(host='0.0.0.0', port=settings.port)
|
||||
"""
|
||||
|
||||
def start_tornado(app, port=8190):
|
||||
http_server = tornado.httpserver.HTTPServer(tornado.wsgi.WSGIContainer(app))
|
||||
http_server.listen(port)
|
||||
app.logger.info("Tornado server starting on port {}".format(port))
|
||||
tornado.ioloop.IOLoop.instance().start()
|
||||
|
||||
|
||||
def start_from_terminal(app):
|
||||
parser = argparse.ArgumentParser(description='Reading configuration file')
|
||||
parser.add_argument('conf', type=str, help='Configuration file path')
|
||||
|
||||
args = parser.parse_args()
|
||||
settings.load_setting(args.conf)
|
||||
global searcher
|
||||
searcher = Searcher()
|
||||
|
||||
#if args.debug:
|
||||
# app.run(debug=True, host='0.0.0.0', port=settings.port)
|
||||
# else:
|
||||
#start_tornado(app, settings.port)
|
||||
|
||||
app.run(debug=False, host='0.0.0.0', port=settings.port)
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
start_from_terminal(app)
|
||||
|
||||
|
|
@ -0,0 +1,378 @@
|
|||
from re import split
|
||||
|
||||
from flask import Flask, request, redirect, url_for, flash, render_template, send_from_directory, abort, Response, session
|
||||
from random import randint
|
||||
import cv2
|
||||
import io
|
||||
import numpy as np
|
||||
import json
|
||||
|
||||
import urllib
|
||||
|
||||
import LFUtilities
|
||||
from Searcher import Searcher
|
||||
from GEMSearcher import GEMSearcher
|
||||
import WebAppSettings as settings
|
||||
import uuid
|
||||
import requests
|
||||
import os, os.path
|
||||
from PIL import Image
|
||||
import tornado.wsgi
|
||||
import tornado.httpserver
|
||||
import argparse
|
||||
import base64
|
||||
from Heic2Png import conv
|
||||
from datetime import datetime
|
||||
|
||||
|
||||
app = Flask(__name__)
|
||||
app.secret_key = "27eduCBA09"
|
||||
|
||||
|
||||
|
||||
security_id = 'FA6mMmeWZ8JjWKz5'
|
||||
rescorer = False
|
||||
lf_impl = 'BEBLID'
|
||||
|
||||
HEIC_MAGIC_NUMBER = "AAAAGGZ0eXA="
|
||||
|
||||
|
||||
@app.route('/bcir/')
|
||||
def api_root():
|
||||
print('index_with_randoms.html')
|
||||
random_ids = []
|
||||
for i in range(0, 15):
|
||||
random_ids.append(searcher.get_id(randint(0, 600)))
|
||||
return render_template('index_with_randoms.html', random_ids=random_ids)
|
||||
|
||||
|
||||
def url_to_file(url):
|
||||
dest_file = uuid.uuid4().hex + ".png"
|
||||
session["query"] = settings.log_folder + '/' + dest_file
|
||||
|
||||
dest_path = settings.logs + "/" + dest_file
|
||||
req = urllib.request.Request(
|
||||
url,
|
||||
data=None,
|
||||
headers={
|
||||
'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_9_3) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/35.0.1916.47 Safari/537.36'
|
||||
}
|
||||
)
|
||||
resp = urllib.request.urlopen(req)
|
||||
image = np.asarray(bytearray(resp.read()), dtype="uint8")
|
||||
decoded = cv2.imdecode(image, cv2.IMREAD_COLOR)
|
||||
resized = LFUtilities.resize(500, decoded)
|
||||
cv2.imwrite(dest_path, resized)
|
||||
#im = Image.fromarray(image)
|
||||
#im.save(dest_path)
|
||||
return dest_path
|
||||
|
||||
|
||||
def post_to_file(image):
|
||||
dest_file = uuid.uuid4().hex + ".png"
|
||||
session["query"] = settings.log_folder + '/' + dest_file
|
||||
dest_path = settings.logs + "/" + dest_file
|
||||
|
||||
in_memory_file = io.BytesIO()
|
||||
image.save(in_memory_file)
|
||||
data = np.fromstring(in_memory_file.getvalue(), dtype=np.uint8)
|
||||
decoded = cv2.imdecode(data, cv2.IMREAD_COLOR)
|
||||
resized = LFUtilities.resize(500, decoded)
|
||||
cv2.imwrite(dest_path, resized)
|
||||
return dest_path
|
||||
|
||||
def set_rescorer(rescore_param):
|
||||
global rescorer
|
||||
if rescore_param is not None:
|
||||
if rescore_param == 'true':
|
||||
rescorer = True
|
||||
elif rescore_param == 'false':
|
||||
rescorer = False
|
||||
|
||||
def base64_to_file(image_base64):
|
||||
ext = ".jpg"
|
||||
if (image_base64.startswith(HEIC_MAGIC_NUMBER)):
|
||||
ext = ".heic"
|
||||
dest_file = uuid.uuid4().hex + ext
|
||||
dest_path = settings.logs + "/" + dest_file
|
||||
with open(dest_path, "wb") as image_file:
|
||||
byte_content = base64.b64decode(image_base64)
|
||||
image_file.write(byte_content)
|
||||
if (image_base64.startswith(HEIC_MAGIC_NUMBER)):
|
||||
dest_path = conv(dest_path)
|
||||
return dest_path
|
||||
|
||||
|
||||
def get_res(results, query_url=None, img_base64=None):
|
||||
if query_url is not None:
|
||||
return render_template('search.html', results=results, query_url=query_url)
|
||||
elif results is None:
|
||||
results = '{"classname":"Unknown"}'
|
||||
else:
|
||||
results = '{"classname":"' + results[0] + '", "conf":' + str(results[1]) + '}'
|
||||
print(results)
|
||||
json_res = json.dumps(results)
|
||||
print(json_res)
|
||||
if img_base64 != None:
|
||||
html_txt = str(datetime.now())
|
||||
html_txt += '</br>'
|
||||
html_txt += results
|
||||
html_txt += '</br>'
|
||||
html_txt += '<img height="256" src="data:image/png;base64,' + img_base64 + '">'
|
||||
html_txt += '</br></br></br>'
|
||||
html_txt += '\n'
|
||||
with open("/home/paolo/Dropbox/extension_logs/report.html", "a+") as myfile:
|
||||
myfile.write(html_txt)
|
||||
return json_res
|
||||
|
||||
|
||||
def get_resDict(results, query_url=None):
|
||||
if query_url is not None:
|
||||
return render_template('search.html', results=results, query_url=query_url)
|
||||
elif results is None:
|
||||
results = {"classname":"Unknown"}
|
||||
else:
|
||||
results = {"classname":"' + results[0][0] + '", "conf":' + str(results[0][1]) + '}
|
||||
print(results)
|
||||
json_res = json.dumps(results)
|
||||
print(json_res)
|
||||
|
||||
return json_res
|
||||
|
||||
|
||||
def rotate_img(img_path, degree):
|
||||
im1 = Image.open(img_path)
|
||||
im2 = im1.rotate(degree, expand=True)
|
||||
dest = img_path + "_" + str(degree) + ".jpg"
|
||||
im2.save(dest)
|
||||
return dest
|
||||
|
||||
|
||||
@app.route('/bcir/searchById')
|
||||
def search_by_id():
|
||||
id = request.args.get('id')
|
||||
set_rescorer(request.args.get("rescorer"))
|
||||
results = searcher.search_by_id(id, settings.k, rescorer, lf_impl)
|
||||
query_url = None
|
||||
if request.args.get("tohtml") is not None:
|
||||
query_url = id + ".jpg"
|
||||
return get_res(results, query_url)
|
||||
|
||||
|
||||
@app.route('/bcir/searchByImg', methods=['POST'])
|
||||
def search_by_img():
|
||||
if 'image' not in request.files:
|
||||
return Response(json.dumps("Error, unable to get the image"), status=401, mimetype='application/json')
|
||||
|
||||
sec_id = request.form.get("securityID")
|
||||
#if sec_id != security_id:
|
||||
# return Response(json.dumps("Error 401, not authorized"), status=401, mimetype='application/json')
|
||||
|
||||
file = request.files['image']
|
||||
img_file = post_to_file(file)
|
||||
set_rescorer(request.form.get("rescorer"))
|
||||
|
||||
results_0 = searcher.search_by_img(img_file, settings.k, rescorer, lf_impl)
|
||||
degree_90 = rotate_img(img_file, 90)
|
||||
results_90 = searcher.search_by_img(degree_90, settings.k, rescorer, lf_impl)
|
||||
degree_270 = rotate_img(img_file, 270)
|
||||
results_270 = searcher.search_by_img(degree_270, settings.k, rescorer, lf_impl)
|
||||
|
||||
max_res = results_0
|
||||
if results_90 is not None:
|
||||
if max_res is None:
|
||||
max_res = results_90
|
||||
elif results_90[1] > max_res[1]:
|
||||
max_res = results_90
|
||||
if results_270 is not None:
|
||||
if max_res is None:
|
||||
max_res = results_270
|
||||
elif results_270[1] > max_res[1]:
|
||||
max_res = results_270
|
||||
query_url = None
|
||||
if request.form.get("tohtml") is not None:
|
||||
query_url = ""
|
||||
return get_res(max_res, query_url)
|
||||
|
||||
@app.route('/bcir/searchByImgB64', methods=['POST'])
|
||||
def search_by_img_base64():
|
||||
print("query by base64 received")
|
||||
#print(request)
|
||||
#print(request.form)
|
||||
sec_id = request.form.get("securityID")
|
||||
#if sec_id != security_id:
|
||||
# return Response(json.dumps("Error 401, not authorized"), status=401, mimetype='application/json')
|
||||
|
||||
#to fix a problem with photo orientation
|
||||
try:
|
||||
orientation = request.form.get("orientation")
|
||||
orientation = int(orientation)
|
||||
except:
|
||||
orientation = 1
|
||||
|
||||
image = request.form.get('image')
|
||||
if image:
|
||||
img_file = base64_to_file(image)
|
||||
else:
|
||||
flash('No img sent')
|
||||
return redirect(request.url)
|
||||
|
||||
oriented_img = img_file
|
||||
if orientation == 3:
|
||||
oriented_img = rotate_img(img_file, 180)
|
||||
elif orientation == 6:
|
||||
oriented_img = rotate_img(img_file, 270)
|
||||
elif orientation == 8:
|
||||
oriented_img = rotate_img(img_file, 90)
|
||||
|
||||
results = searcher.search_by_img(oriented_img, settings.k, rescorer, lf_impl)
|
||||
|
||||
set_rescorer(request.form.get("rescorer"))
|
||||
|
||||
query_url = None
|
||||
if request.form.get("tohtml") is not None:
|
||||
query_url = ""
|
||||
return get_res(results, query_url, img_base64=image)
|
||||
|
||||
'''
|
||||
results_0 = searcher.search_by_img(img_file, settings.k, rescorer, lf_impl)
|
||||
degree_90 = rotate_img(img_file, 90)
|
||||
results_90 = searcher.search_by_img(degree_90, settings.k, rescorer, lf_impl)
|
||||
degree_270 = rotate_img(img_file, 270)
|
||||
results_270 = searcher.search_by_img(degree_270, settings.k, rescorer, lf_impl)
|
||||
|
||||
max_res = results_0
|
||||
if results_90 is not None:
|
||||
if max_res is None:
|
||||
max_res = results_90
|
||||
elif results_90[1] > max_res[1]:
|
||||
max_res = results_90
|
||||
if results_270 is not None:
|
||||
if max_res is None:
|
||||
max_res = results_270
|
||||
elif results_270[1] > max_res[1]:
|
||||
max_res = results_270
|
||||
query_url = None
|
||||
if request.form.get("tohtml") is not None:
|
||||
query_url = ""
|
||||
return get_res(max_res, query_url, img_base64=image)
|
||||
'''
|
||||
|
||||
@app.route('/bcir/searchByURL')
|
||||
def search_by_url():
|
||||
sec_id = request.args.get("securityID")
|
||||
#if sec_id != security_id:
|
||||
# return Response(json.dumps("Error 401, not authorized"), status=401, mimetype='application/json')
|
||||
url = request.args.get('url')
|
||||
img_file = url_to_file(url)
|
||||
set_rescorer(request.args.get("rescorer"))
|
||||
|
||||
|
||||
#to fix a problem with photo orientation
|
||||
try:
|
||||
orientation = request.args.get("orientation")
|
||||
orientation = int(orientation)
|
||||
except:
|
||||
orientation = 1
|
||||
|
||||
oriented_img = img_file
|
||||
if orientation == 3:
|
||||
oriented_img = rotate_img(img_file, 180)
|
||||
elif orientation == 6:
|
||||
oriented_img = rotate_img(img_file, 90)
|
||||
elif orientation == 8:
|
||||
oriented_img = rotate_img(img_file, 270)
|
||||
|
||||
results = searcher.search_by_img(oriented_img, settings.k, rescorer, lf_impl)
|
||||
|
||||
set_rescorer(request.form.get("rescorer"))
|
||||
|
||||
query_url = None
|
||||
|
||||
if request.args.get("tohtml") is not None:
|
||||
query_url = url
|
||||
return get_res(results, query_url)
|
||||
|
||||
|
||||
results_0 = searcher.search_by_img(img_file, settings.k, rescorer, lf_impl)
|
||||
degree_90 = rotate_img(img_file, 90)
|
||||
results_90 = searcher.search_by_img(degree_90, settings.k, rescorer, lf_impl)
|
||||
degree_270 = rotate_img(img_file, 270)
|
||||
results_270 = searcher.search_by_img(degree_270, settings.k, rescorer, lf_impl)
|
||||
|
||||
max_res = results_0
|
||||
if results_90 is not None:
|
||||
if max_res is None:
|
||||
max_res = results_90
|
||||
elif results_90[1] > max_res[1]:
|
||||
max_res = results_90
|
||||
if results_270 is not None:
|
||||
if max_res is None:
|
||||
max_res = results_270
|
||||
elif results_270[1] > max_res[1]:
|
||||
max_res = results_270
|
||||
query_url = None
|
||||
if request.args.get("tohtml") is not None:
|
||||
query_url = url
|
||||
return get_res(max_res, query_url)
|
||||
|
||||
@app.route('/bcir/setRescorer')
|
||||
def set_bot_rescorer():
|
||||
set_rescorer(request.args.get("rescorer"))
|
||||
return "Rescorer set to " + str(rescorer)
|
||||
|
||||
|
||||
@app.route('/bcir/<path:filename>')
|
||||
def download_file(filename):
|
||||
print(filename)
|
||||
values = filename.split('/')
|
||||
folder = values[0]
|
||||
name = values[1]
|
||||
print(folder)
|
||||
print(name)
|
||||
|
||||
return send_from_directory(settings.working_folder + '/' + folder, name, as_attachment=False)
|
||||
|
||||
"""
|
||||
if __name__ == '__main__':
|
||||
parser = argparse.ArgumentParser(description='Reading configuration file')
|
||||
parser.add_argument('conf', type=str, help='Configuration file path')
|
||||
|
||||
args = parser.parse_args()
|
||||
settings.load_setting(args.conf)
|
||||
global searcher
|
||||
searcher = BeniCulturaliSearcher()
|
||||
|
||||
#app.run(host='0.0.0.0', port=8090, ssl_context='adhoc')
|
||||
app.run(host='0.0.0.0', port=settings.port)
|
||||
|
||||
# app.run(host='0.0.0.0', port=settings.port)
|
||||
"""
|
||||
|
||||
def start_tornado(app, port=8190):
|
||||
http_server = tornado.httpserver.HTTPServer(tornado.wsgi.WSGIContainer(app))
|
||||
http_server.listen(port)
|
||||
app.logger.info("Tornado server starting on port {}".format(port))
|
||||
tornado.ioloop.IOLoop.instance().start()
|
||||
|
||||
|
||||
def start_from_terminal(app):
|
||||
parser = argparse.ArgumentParser(description='Reading configuration file')
|
||||
parser.add_argument('conf', type=str, help='Configuration file path')
|
||||
|
||||
args = parser.parse_args()
|
||||
settings.load_setting(args.conf)
|
||||
global searcher
|
||||
searcher = Searcher()
|
||||
|
||||
#if args.debug:
|
||||
# app.run(debug=True, host='0.0.0.0', port=settings.port)
|
||||
# else:
|
||||
#start_tornado(app, settings.port)
|
||||
|
||||
app.run(debug=False, host='0.0.0.0', port=settings.port)
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
start_from_terminal(app)
|
||||
|
||||
|
|
@ -0,0 +1,41 @@
|
|||
import json
|
||||
import os
|
||||
|
||||
def load_setting(conf_file):
|
||||
global port, feature_extractor, k, k_reorder, img_folder, log_folder, logs, working_folder, data_folder, DATASET_GEM, DATASET1, DATASET2, DATASET_LF, DATASET_IDS, DATASET_BEBLID, DATASET_LATCH
|
||||
|
||||
with open(conf_file) as settings_file:
|
||||
|
||||
settings = json.load(settings_file)
|
||||
|
||||
port = settings['port']
|
||||
feature_extractor = settings['fe_service']
|
||||
|
||||
k = settings['k']
|
||||
k_reorder = settings['k_reorder']
|
||||
working_folder = settings['working_folder']
|
||||
|
||||
data_folder = os.path.join(working_folder, settings['data_folder'])
|
||||
|
||||
if not os.path.isdir(data_folder):
|
||||
os.mkdir(data_folder)
|
||||
|
||||
DATASET_GEM = os.path.join(data_folder, 'gem.npy')
|
||||
#DATASET1 = os.path.join(data_folder, 'dataset_resized.npy')
|
||||
#DATASET2 = os.path.join(data_folder, 'dataset_bw.npy')
|
||||
#DATASET_LF = os.path.join(data_folder, 'dataset_lf.dat')
|
||||
#DATASET_LF = os.path.join(data_folder, 'orb_5k.dat')
|
||||
DATASET_IDS = os.path.join(data_folder, 'dataset.ids')
|
||||
#DATASET_BEBLID = os.path.join(data_folder, 'dataset_beblid.dat')
|
||||
DATASET_BEBLID = os.path.join(data_folder, 'beblid.dat')
|
||||
#DATASET_LATCH = os.path.join(data_folder, 'dataset_latch.dat')
|
||||
#DATASET_LATCH = os.path.join(data_folder, 'latch_5k.dat')
|
||||
|
||||
img_folder = settings['img_folder']
|
||||
log_folder = settings['log_folder']
|
||||
#temporary for mobile app debugging
|
||||
log_folder = settings['log_folder']
|
||||
log_folder = '/home/paolo/Dropbox/extension_logs'
|
||||
logs = os.path.join(working_folder, log_folder)
|
||||
if not os.path.isdir(logs):
|
||||
os.mkdir(logs)
|
||||
|
|
@ -0,0 +1,290 @@
|
|||
from re import split
|
||||
|
||||
from flask import Flask, request, redirect, url_for, flash, render_template, send_from_directory, abort, Response
|
||||
from random import randint
|
||||
import cv2
|
||||
import io
|
||||
import numpy as np
|
||||
import json
|
||||
|
||||
import urllib
|
||||
|
||||
from Searcher import Searcher
|
||||
from GEMSearcher import GEMSearcher
|
||||
import WebAppSettings as settings
|
||||
import uuid
|
||||
import requests
|
||||
import os, os.path
|
||||
from PIL import Image
|
||||
import tornado.wsgi
|
||||
import tornado.httpserver
|
||||
import argparse
|
||||
import base64
|
||||
|
||||
app = Flask(__name__)
|
||||
|
||||
security_id = 'FA6mMmeWZ8JjWKz5'
|
||||
|
||||
|
||||
@app.route('/bcirtest/')
|
||||
def api_root():
|
||||
print('index_with_randoms.html')
|
||||
random_ids = []
|
||||
for i in range(0, 15):
|
||||
random_ids.append(searcher.get_id(randint(0, 600)))
|
||||
return render_template('index_with_randoms.html', random_ids=random_ids)
|
||||
|
||||
|
||||
def url_to_file(url):
|
||||
dest_file = uuid.uuid4().hex + ".png"
|
||||
dest_path = settings.logs + "/" + dest_file
|
||||
req = urllib.request.Request(
|
||||
url,
|
||||
data=None,
|
||||
headers={
|
||||
'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_9_3) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/35.0.1916.47 Safari/537.36'
|
||||
}
|
||||
)
|
||||
resp = urllib.request.urlopen(req)
|
||||
image = np.asarray(bytearray(resp.read()), dtype="uint8")
|
||||
decoded = cv2.imdecode(image, cv2.IMREAD_COLOR)
|
||||
cv2.imwrite(dest_path, decoded)
|
||||
#im = Image.fromarray(image)
|
||||
#im.save(dest_path)
|
||||
return dest_path
|
||||
|
||||
|
||||
def post_to_file(image):
|
||||
dest_file = uuid.uuid4().hex + ".png"
|
||||
dest_path = settings.logs + "/" + dest_file
|
||||
image.save(dest_path)
|
||||
return dest_path
|
||||
|
||||
def base64_to_file(image_base64):
|
||||
dest_file = uuid.uuid4().hex + ".png"
|
||||
dest_path = settings.logs + "/" + dest_file
|
||||
with open(dest_path, "wb") as image_file:
|
||||
byte_content = base64.b64decode(image_base64)
|
||||
image_file.write(byte_content)
|
||||
return dest_path
|
||||
|
||||
|
||||
def get_res(results, query_url=None):
|
||||
if query_url is not None:
|
||||
return render_template('search.html', results=results, query_url=query_url)
|
||||
elif results is None:
|
||||
results = '{"classname":"Unknown"}'
|
||||
else:
|
||||
results = '{"classname":"' + results[0][0] + '", "conf":' + str(results[0][1]) + '}'
|
||||
print(results)
|
||||
json_res = json.dumps(results)
|
||||
print(json_res)
|
||||
|
||||
return json_res
|
||||
|
||||
|
||||
@app.route('/bcirtest/searchById')
|
||||
def search_by_id():
|
||||
id = request.args.get('id')
|
||||
rescorer = False
|
||||
lf_impl = 'ORB'
|
||||
if request.args.get("rescorer") == 'true':
|
||||
rescorer = True
|
||||
|
||||
if request.args.get("lf_impl") == 'beblid':
|
||||
lf_impl = 'BEBLID'
|
||||
elif request.args.get("lf_impl") == 'latch':
|
||||
lf_impl = 'LATCH'
|
||||
#results = searcher.search_by_id(id, settings.k, rescorer, lf_impl)
|
||||
results = searcher.search_by_id(id, settings.k)
|
||||
query_url = None
|
||||
if request.args.get("tohtml") is not None:
|
||||
query_url = id + ".jpg"
|
||||
return get_res(results, query_url)
|
||||
|
||||
|
||||
@app.route('/bcirtest/searchByImg', methods=['POST'])
|
||||
def search_by_img():
|
||||
if 'image' not in request.files:
|
||||
return Response(json.dumps("Error, unable to get the image"), status=401, mimetype='application/json')
|
||||
|
||||
sec_id = request.form.get("securityID")
|
||||
#if sec_id != security_id:
|
||||
# return Response(json.dumps("Error 401, not authorized"), status=401, mimetype='application/json')
|
||||
|
||||
|
||||
file = request.files['image']
|
||||
img_file = post_to_file(file)
|
||||
rescorer = False
|
||||
lf_impl = 'ORB500'
|
||||
if request.form.get("rescorer") == 'true':
|
||||
rescorer = True
|
||||
if request.form.get("lf_impl") == 'beblid':
|
||||
lf_impl = 'BEBLID'
|
||||
elif request.form.get("lf_impl") == 'latch':
|
||||
lf_impl = 'LATCH'
|
||||
elif request.form.get("lf_impl") == 'orb':
|
||||
lf_impl = 'ORB'
|
||||
#dest_file = uuid.uuid4().hex + ".jpg"
|
||||
#dest_path = settings.logs + "/" + dest_file
|
||||
#file.save(dest_path)
|
||||
#files = {'image': (dest_file, open(dest_path, 'rb'))}
|
||||
#r = requests.post(settings.rmac_service, files=files)
|
||||
#results = search_engine.search_by_img(np.array(r.json()), settings.k)
|
||||
#results = searcher.search_by_img(img_file, settings.k, rescorer, lf_impl)
|
||||
results = searcher.search_by_img(img_file, settings.k, rescorer, lf_impl)
|
||||
query_url = None
|
||||
if request.form.get("tohtml") is not None:
|
||||
query_url = ""
|
||||
return get_res(results, query_url)
|
||||
|
||||
@app.route('/bcirtest/searchByImgB64', methods=['POST'])
|
||||
def search_by_img_base64():
|
||||
sec_id = request.form.get("securityID")
|
||||
#if sec_id != security_id:
|
||||
# return Response(json.dumps("Error 401, not authorized"), status=401, mimetype='application/json')
|
||||
image = request.form.get('image')
|
||||
if image:
|
||||
img_file = base64_to_file(image)
|
||||
else:
|
||||
flash('No img sent')
|
||||
return redirect(request.url)
|
||||
|
||||
|
||||
rescorer = False
|
||||
lf_impl = 'ORB500'
|
||||
if request.form.get("rescorer") == 'true':
|
||||
rescorer = True
|
||||
if request.form.get("lf_impl") == 'beblid':
|
||||
lf_impl = 'BEBLID'
|
||||
elif request.form.get("lf_impl") == 'latch':
|
||||
lf_impl = 'LATCH'
|
||||
elif request.form.get("lf_impl") == 'orb':
|
||||
lf_impl = 'ORB'
|
||||
#dest_file = uuid.uuid4().hex + ".jpg"
|
||||
#dest_path = settings.logs + "/" + dest_file
|
||||
#file.save(dest_path)
|
||||
#files = {'image': (dest_file, open(dest_path, 'rb'))}
|
||||
#r = requests.post(settings.rmac_service, files=files)
|
||||
#results = search_engine.search_by_img(np.array(r.json()), settings.k)
|
||||
#results = searcher.search_by_img(img_file, settings.k, rescorer, lf_impl)
|
||||
results = searcher.search_by_img(img_file, settings.k)
|
||||
query_url = None
|
||||
if request.form.get("tohtml") is not None:
|
||||
query_url = ""
|
||||
return get_res(results, query_url)
|
||||
|
||||
|
||||
@app.route('/bcirtest/searchByURL')
|
||||
def search_by_url():
|
||||
sec_id = request.args.get("securityID")
|
||||
#if sec_id != security_id:
|
||||
# return Response(json.dumps("Error 401, not authorized"), status=401, mimetype='application/json')
|
||||
url = request.args.get('url')
|
||||
rescorer = False
|
||||
if request.args.get("rescorer") == 'true':
|
||||
rescorer = True
|
||||
img_file = url_to_file(url)
|
||||
# query = cv2.imdecode(image, cv2.IMREAD_COLOR)
|
||||
# dest_file = uuid.uuid4().hex + ".jpg"
|
||||
# dest_path = settings.logs + "/" + dest_file
|
||||
# cv2.imwrite(dest_path, query)
|
||||
# files = {'image': open(dest_path, 'rb')}
|
||||
# r = requests.post(settings.rmac_service, files=files)
|
||||
# results = search_engine.search_by_img(np.array(r.json()), settings.k)
|
||||
rescorer = False
|
||||
lf_impl = 'ORB500'
|
||||
if request.args.get("rescorer") == 'true':
|
||||
rescorer = True
|
||||
if request.args.get("lf_impl") == 'beblid':
|
||||
lf_impl = 'BEBLID'
|
||||
elif request.args.get("lf_impl") == 'latch':
|
||||
lf_impl = 'LATCH'
|
||||
elif request.args.get("lf_impl") == 'orb':
|
||||
lf_impl = 'ORB'
|
||||
#results = searcher.search_by_img(img_file, settings.k, rescorer, lf_impl)
|
||||
results = searcher.search_by_img(img_file, settings.k, rescorer, lf_impl)
|
||||
query_url = None
|
||||
if request.args.get("tohtml") is not None:
|
||||
query_url = url
|
||||
return get_res(results, query_url)
|
||||
|
||||
@app.route('/bcirtest/addImg', methods=['POST'])
|
||||
def add_img():
|
||||
if 'image' not in request.files:
|
||||
flash('No file part')
|
||||
return redirect(request.url)
|
||||
try:
|
||||
file = request.files['image']
|
||||
id = request.files['image'].filename
|
||||
id, _ = os.path.splitext(id)
|
||||
img_file = post_to_file(file)
|
||||
searcher.add(img_file, id)
|
||||
json_res = json.dumps("done")
|
||||
return json_res
|
||||
except:
|
||||
abort(500)
|
||||
|
||||
|
||||
@app.route('/bcirtest/rmImg')
|
||||
def remove_img():
|
||||
try:
|
||||
id = request.args.get('id')
|
||||
searcher.remove(id)
|
||||
json_res = json.dumps("done")
|
||||
return json_res
|
||||
except:
|
||||
abort(500)
|
||||
|
||||
@app.route('/bcirtest/<path:filename>')
|
||||
def download_file(filename):
|
||||
print(filename)
|
||||
values = filename.split('/')
|
||||
print(values)
|
||||
print(settings.img_folder)
|
||||
|
||||
return send_from_directory(settings.img_folder, filename, as_attachment=False)
|
||||
|
||||
"""
|
||||
if __name__ == '__main__':
|
||||
parser = argparse.ArgumentParser(description='Reading configuration file')
|
||||
parser.add_argument('conf', type=str, help='Configuration file path')
|
||||
|
||||
args = parser.parse_args()
|
||||
settings.load_setting(args.conf)
|
||||
global searcher
|
||||
searcher = BeniCulturaliSearcher()
|
||||
|
||||
#app.run(host='0.0.0.0', port=8090, ssl_context='adhoc')
|
||||
app.run(host='0.0.0.0', port=settings.port)
|
||||
|
||||
# app.run(host='0.0.0.0', port=settings.port)
|
||||
"""
|
||||
|
||||
def start_tornado(app, port=8190):
|
||||
http_server = tornado.httpserver.HTTPServer(tornado.wsgi.WSGIContainer(app))
|
||||
http_server.listen(port)
|
||||
app.logger.info("Tornado server starting on port {}".format(port))
|
||||
tornado.ioloop.IOLoop.instance().start()
|
||||
|
||||
|
||||
def start_from_terminal(app):
|
||||
parser = argparse.ArgumentParser(description='Reading configuration file')
|
||||
parser.add_argument('conf', type=str, help='Configuration file path')
|
||||
|
||||
args = parser.parse_args()
|
||||
settings.load_setting(args.conf)
|
||||
global searcher
|
||||
searcher = Searcher()
|
||||
|
||||
#if args.debug:
|
||||
# app.run(debug=True, host='0.0.0.0', port=settings.port)
|
||||
# else:
|
||||
#start_tornado(app, settings.port)
|
||||
|
||||
app.run(debug=True, host='0.0.0.0', port=8290)
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
start_from_terminal(app)
|
||||
|
||||
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|
|
@ -0,0 +1,11 @@
|
|||
{
|
||||
"port": 8190,
|
||||
"img_host": "http://bilioso.isti.cnr.it:8030/bcimages",
|
||||
"fe_service": "http://localhost:5000/extract",
|
||||
"k": 15,
|
||||
"k_reorder": 15,
|
||||
"working_folder": "/workspace/data",
|
||||
"img_folder": "/workspace/data/data/img/dataset",
|
||||
"log_folder": "logs",
|
||||
"data_folder": "data"
|
||||
}
|
||||
|
|
@ -0,0 +1,11 @@
|
|||
{
|
||||
"port": 8190,
|
||||
"img_host": "http://bilioso.isti.cnr.it:8190/bcimages",
|
||||
"fe_service": "http://localhost:5000/extract",
|
||||
"k": 15,
|
||||
"k_reorder": 15,
|
||||
"working_folder": "/media/Data/data/extension/img_recognition",
|
||||
"img_folder": "/media/Data/data/extension/datasetMerged",
|
||||
"log_folder": "logs",
|
||||
"data_folder": "data"
|
||||
}
|
||||
|
|
@ -0,0 +1,11 @@
|
|||
{
|
||||
"port": 8190,
|
||||
"img_host": "http://bilioso.isti.cnr.it:8190/bcimages",
|
||||
"fe_service": "http://localhost:5000/extract",
|
||||
"k": 15,
|
||||
"k_reorder": 15,
|
||||
"working_folder": "/media/Data/data/extension/img_recognition",
|
||||
"img_folder": "/media/Data/data/extension/img_recognition/data/img/dataset",
|
||||
"log_folder": "logs",
|
||||
"data_folder": "data"
|
||||
}
|
||||
|
|
@ -0,0 +1,11 @@
|
|||
{
|
||||
"port": 8190,
|
||||
"img_host": "http://bilioso.isti.cnr.it:8190/bcimages",
|
||||
"fe_service": "http://localhost:5000/extract",
|
||||
"k": 500,
|
||||
"k_reorder": 500,
|
||||
"working_folder": "/media/Data/data/extension/datasetEnriched",
|
||||
"img_folder": "/media/Data/data/extension/datasetEnriched/img",
|
||||
"log_folder": "logs",
|
||||
"data_folder": "data"
|
||||
}
|
||||
|
|
@ -0,0 +1,11 @@
|
|||
{
|
||||
"port": 8190,
|
||||
"img_host": "http://bilioso.isti.cnr.it:8190/bcimages",
|
||||
"fe_service": "http://localhost:5000/extract",
|
||||
"k": 15,
|
||||
"k_reorder": 15,
|
||||
"working_folder": "/media/Data/data/extension/datasetMerged",
|
||||
"img_folder": "/media/Data/data/extension/datasetMerged",
|
||||
"log_folder": "logs",
|
||||
"data_folder": "data"
|
||||
}
|
||||
|
|
@ -0,0 +1,11 @@
|
|||
{
|
||||
"port": 8190,
|
||||
"img_host": "http://bilioso.isti.cnr.it:8190/bcimages",
|
||||
"fe_service": "http://localhost:5000/extract",
|
||||
"k": 15,
|
||||
"k_reorder": 15,
|
||||
"working_folder": "/media/Data/data/extension/merged_train_test",
|
||||
"img_folder": "/media/Data/data/extension/merged_train_test/train",
|
||||
"log_folder": "logs",
|
||||
"data_folder": "data"
|
||||
}
|
||||
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|
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|
|
@ -0,0 +1,105 @@
|
|||
function changeImage(imageURL, objectID) {
|
||||
//alert(imageURL + " - " + objectID);
|
||||
if (document.getElementById('objId').value==objectID || objectID == "" || imageURL == "null" || objectID == "null") {
|
||||
document.getElementById('advSearch').style.display = 'none';
|
||||
//document.getElementById('comboInfo').style.display = 'none';
|
||||
document.getElementById('queryImage').src='queryImage';
|
||||
document.getElementById('objId').value='';
|
||||
document.getElementById('objId').name="disabled";
|
||||
}
|
||||
else {
|
||||
document.getElementById('advSearch').style.display = '';
|
||||
//document.getElementById('comboInfo').style.display = '';
|
||||
document.getElementById('queryImage').src=imageURL;
|
||||
document.getElementById('objId').value=objectID;
|
||||
document.getElementById('objId').name="id";
|
||||
|
||||
//document.getElementById('imageQueryCheckbox').checked='checked';
|
||||
document.getElementById('objId').name="id";
|
||||
document.getElementById('queryImage').style.display = '';
|
||||
|
||||
if (document.getElementById('imageToUpload') != null) {
|
||||
document.getElementById('imageToUpload').value="";
|
||||
}
|
||||
}
|
||||
// if (imageURL != "null" && imageURL != "" && imageURL == objectID) {
|
||||
// document.getElementById('objId').name="url";
|
||||
// }
|
||||
}
|
||||
|
||||
function imageQuery() {
|
||||
//alert(imageURL + " - " + objectID);
|
||||
if (!document.getElementById('imageQueryCheckbox').checked) {
|
||||
document.getElementById('objId').name="disabled";
|
||||
document.getElementById('queryImage').style.display = 'none';
|
||||
}
|
||||
else {
|
||||
document.getElementById('objId').name="id";
|
||||
document.getElementById('queryImage').style.display = '';
|
||||
}
|
||||
}
|
||||
|
||||
function changeQueryBySampleMod(mode) {
|
||||
if (mode == "url") {
|
||||
document.getElementById("uploadText").style.display = 'none';
|
||||
document.getElementById("uploadLink").style.display = '';
|
||||
document.getElementById("urlText").style.display = '';
|
||||
document.getElementById("urlLink").style.display = 'none';
|
||||
document.getElementById("imageToUpload").style.display = 'none';
|
||||
document.getElementById("urlToUpload").style.display = '';
|
||||
document.getElementById("imageToUpload").value = '';
|
||||
|
||||
// document.getElementById("imageToUpload").type="text";
|
||||
// document.getElementById("imageToUpload").name="url";
|
||||
// document.getElementById("imageToUpload").size="49";
|
||||
document.getElementById("searchbar").action="./searchByURL"
|
||||
document.getElementById("searchbar").enctype="";
|
||||
document.getElementById("searchbar").method="GET";
|
||||
|
||||
|
||||
} else {
|
||||
document.getElementById("uploadText").style.display = '';
|
||||
document.getElementById("uploadLink").style.display = 'none';
|
||||
document.getElementById("urlText").style.display = 'none';
|
||||
document.getElementById("urlLink").style.display = '';
|
||||
|
||||
document.getElementById("urlToUpload").style.display = 'none';
|
||||
document.getElementById("imageToUpload").style.display = '';
|
||||
document.getElementById("urlToUpload").value = '';
|
||||
|
||||
// document.getElementById("imageToUpload").type="file";
|
||||
// document.getElementById("imageToUpload").name="imgFile";
|
||||
// document.getElementById("imageToUpload").size="38";
|
||||
|
||||
document.getElementById("searchbar").action="./searchByImg"
|
||||
document.getElementById("searchbar").enctype="multipart/form-data";
|
||||
document.getElementById("searchbar").method="POST";
|
||||
}
|
||||
}
|
||||
|
||||
function trim(str) {
|
||||
return str.replace(/^\s\s*/, '').replace(/\s\s*$/, '');
|
||||
}
|
||||
|
||||
function getWindowHeight() {
|
||||
var windowHeight = 0;
|
||||
if (typeof(window.innerHeight) == 'number') {
|
||||
windowHeight = window.innerHeight;
|
||||
}
|
||||
else {
|
||||
if (document.documentElement && document.documentElement.clientHeight) {
|
||||
windowHeight = document.documentElement.clientHeight;
|
||||
}
|
||||
else {
|
||||
if (document.body && document.body.clientHeight) {
|
||||
windowHeight = document.body.clientHeight;
|
||||
}
|
||||
}
|
||||
}
|
||||
return windowHeight;
|
||||
}
|
||||
|
||||
function getRandomInt(min, max) {
|
||||
return Math.floor(Math.random() * (max - min + 1) + min);
|
||||
}
|
||||
|
||||
|
|
@ -0,0 +1,207 @@
|
|||
|
||||
|
||||
a.polaroid {
|
||||
display: block;
|
||||
text-decoration: none;
|
||||
color: #333;
|
||||
padding: 10px 10px 20px 10px;
|
||||
width: 150px;
|
||||
border: 1px solid #BFBFBF;
|
||||
background-color: white;
|
||||
z-index: 2;
|
||||
font-size: 0.7em;
|
||||
-webkit-box-shadow: 2px 2px 4px rgba(0,0, 0, 0.3);
|
||||
-moz-box-shadow: 2px 2px 4px rgba(0,0, 0, 0.3);
|
||||
box-shadow: 2px 2px 4px rgba(0,0, 0, 0.3);
|
||||
-webkit-transition: all 0.5s ease-in;
|
||||
}
|
||||
a.polaroid:hover,
|
||||
a.polaroid:focus,
|
||||
a.polaroid:active {
|
||||
z-index: 999;
|
||||
border-color: #6A6A6A;
|
||||
-webkit-box-shadow: 15px 15px 20px rgba(0,0, 0, 0.4);
|
||||
-moz-box-shadow: 15px 15px 20px rgba(0,0, 0, 0.4);
|
||||
box-shadow: 15px 15px 20px rgba(0,0, 0, 0.4);
|
||||
-webkit-transform: rotate(0deg) scale(1.05);
|
||||
-moz-transform: rotate(0deg) scale(1.05);
|
||||
transform: rotate(0deg) scale(1.05);
|
||||
}
|
||||
.polaroid img {
|
||||
margin: 0 0 15px;
|
||||
width: 150px;
|
||||
height: 150px;
|
||||
}
|
||||
|
||||
a img {
|
||||
border: none;
|
||||
display: block;
|
||||
}
|
||||
|
||||
.photo-album {
|
||||
position: relative;
|
||||
width: 80%;
|
||||
margin: 0 auto;
|
||||
max-width: 70em;
|
||||
height: 450px;
|
||||
margin-top: 5em;
|
||||
min-width: 800px;
|
||||
max-width: 900px;
|
||||
}
|
||||
.photo-album .polaroid {
|
||||
position: absolute;
|
||||
}
|
||||
.photo-album h1 {
|
||||
position: absolute;
|
||||
z-index: 5;
|
||||
top: 150px;
|
||||
text-align: center;
|
||||
width: 100%;
|
||||
line-height: 1.9;
|
||||
}
|
||||
.photo-album h1 span {
|
||||
background-color: white;
|
||||
font-family: "Helvetica Neue",Arial,Helvetica,sans-serif;
|
||||
padding: 0.4em 0.8em 0.3em 0.8em;
|
||||
-webkit-box-shadow: 2px 2px 4px rgba(0,0, 0, 0.3);
|
||||
-moz-box-shadow: 2px 2px 4px rgba(0,0, 0, 0.3);
|
||||
box-shadow: 2px 2px 4px rgba(0,0, 0, 0.3);
|
||||
border: 1px solid #6A6A6A;
|
||||
}
|
||||
.photo-album .small {
|
||||
width: 75px;
|
||||
padding: 6px 6px 12px 6px;
|
||||
font-size: 0.6em;
|
||||
}
|
||||
.photo-album .small img {
|
||||
width: 75px;
|
||||
height: 75px;
|
||||
}
|
||||
.photo-album .medium {
|
||||
width: 200px;
|
||||
padding: 13px 13px 26px 13px;
|
||||
font-size: 0.8em;
|
||||
}
|
||||
.photo-album .medium img {
|
||||
width: 200px;
|
||||
height: 200px;
|
||||
}
|
||||
.photo-album .large {
|
||||
width: 300px;
|
||||
padding: 20px 20px 30px 20px;
|
||||
font-size: 1em;
|
||||
}
|
||||
.photo-album .large img {
|
||||
width: 300px;
|
||||
height: 300px;
|
||||
}
|
||||
.photo-album .img1 {
|
||||
bottom: 10px;
|
||||
right: 365px;
|
||||
-webkit-transform: rotate(10deg);
|
||||
-moz-transform: rotate(10deg);
|
||||
transform: rotate(10deg);
|
||||
}
|
||||
.photo-album .img2 {
|
||||
top: 50px;
|
||||
right: 20px;
|
||||
-webkit-transform: rotate(-4deg);
|
||||
-moz-transform: rotate(-4deg);
|
||||
transform: rotate(-4deg);
|
||||
}
|
||||
.photo-album .img3 {
|
||||
left: 400px;
|
||||
top: 0;
|
||||
-webkit-transform: rotate(-5deg);
|
||||
-moz-transform: rotate(-5deg);
|
||||
transform: rotate(-5deg);
|
||||
}
|
||||
.photo-album .img4 {
|
||||
top: 10px;
|
||||
left: 495px;
|
||||
-webkit-transform: rotate(-20deg);
|
||||
-moz-transform: rotate(-20deg);
|
||||
transform: rotate(-20deg);
|
||||
}
|
||||
.photo-album .img5 {
|
||||
bottom: 0;
|
||||
right: 0;
|
||||
-webkit-transform: rotate(1deg);
|
||||
-moz-transform: rotate(1deg);
|
||||
transform: rotate(1deg);
|
||||
}
|
||||
.photo-album .img6 {
|
||||
bottom: 10px;
|
||||
right: 156px;
|
||||
-webkit-transform: rotate(6deg);
|
||||
-moz-transform: rotate(6deg);
|
||||
transform: rotate(6deg);
|
||||
}
|
||||
.photo-album .img7 {
|
||||
bottom:0;
|
||||
left:400px;
|
||||
-webkit-transform: rotate(-10deg);
|
||||
-moz-transform: rotate(-10deg);
|
||||
transform: rotate(-10deg);
|
||||
}
|
||||
.photo-album .img8 {
|
||||
bottom: -20px;
|
||||
left: 700px;
|
||||
-webkit-transform: rotate(-8deg);
|
||||
-moz-transform: rotate(-8deg);
|
||||
transform: rotate(-8deg);
|
||||
}
|
||||
.photo-album .img9 {
|
||||
bottom: 0;
|
||||
left: 0;
|
||||
-webkit-transform: rotate(-8deg);
|
||||
-moz-transform: rotate(-8deg);
|
||||
transform: rotate(-8deg);
|
||||
}
|
||||
.photo-album .img10 {
|
||||
top: 0;
|
||||
left: 20px;
|
||||
-webkit-transform: rotate(8deg);
|
||||
-moz-transform: rotate(8deg);
|
||||
transform: rotate(8deg);
|
||||
}
|
||||
.photo-album .img11 {
|
||||
top: 0;
|
||||
right: 0;
|
||||
-webkit-transform: rotate(-8deg);
|
||||
-moz-transform: rotate(-8deg);
|
||||
transform: rotate(-8deg);
|
||||
}
|
||||
.photo-album .img12 {
|
||||
top: 0;
|
||||
left: 680px;
|
||||
-webkit-transform: rotate(18deg);
|
||||
-moz-transform: rotate(18deg);
|
||||
transform: rotate(18deg);
|
||||
}
|
||||
.photo-album .img13 {
|
||||
bottom: -20px;
|
||||
right: 630px;
|
||||
-webkit-transform: rotate(4deg);
|
||||
-moz-transform: rotate(4deg);
|
||||
transform: rotate(4deg);
|
||||
}
|
||||
.photo-album .img14 {
|
||||
top: 90px;
|
||||
left: 430px;
|
||||
-webkit-transform: rotate(15deg);
|
||||
-moz-transform: rotate(15deg);
|
||||
transform: rotate(15deg);
|
||||
}
|
||||
.photo-album .img15 {
|
||||
left:176px;
|
||||
top:20px;
|
||||
-webkit-transform: rotate(-8deg);
|
||||
-moz-transform: rotate(-8deg);
|
||||
transform: rotate(-8deg);
|
||||
}
|
||||
|
||||
a:hover,
|
||||
a:focus {
|
||||
z-index: 5;
|
||||
}
|
||||
|
|
@ -0,0 +1,72 @@
|
|||
<!DOCTYPE html>
|
||||
<html lang="en">
|
||||
|
||||
<head>
|
||||
<title>Deep Image Search</title>
|
||||
|
||||
<link rel="icon" href="{{ url_for('static',filename='img/favicon.ico') }}" />
|
||||
|
||||
<link rel= "stylesheet" type= "text/css" href= "{{ url_for('static',filename='styles/polaroidStyle.css') }}">
|
||||
<script src= "{{ url_for('static',filename='js/ui.js') }}"></script>
|
||||
|
||||
|
||||
</head>
|
||||
|
||||
<body>
|
||||
<div align="center" id="header"><br>
|
||||
<div style="margin-bottom: 10px; vertical-align: middle;"><img class="header"
|
||||
src="{{ url_for('static',filename='img/aimh_logo.png') }}" style="max-width: 100%; height: auto; width: 400px;" alt=""></div>
|
||||
|
||||
<table>
|
||||
<tr>
|
||||
<td colspan="3">
|
||||
<div id="searchForm" style="">
|
||||
<span id="urlText" style="display: none;"><b>Paste image URL</b></span>
|
||||
<a href="#" id="urlLink" onclick="changeQueryBySampleMod('url')" >Paste image URL</a>
|
||||
<span id="uploadText"><b>Upload an image</b></span>
|
||||
<a href="#" id="uploadLink" onclick="changeQueryBySampleMod('upload')" style="display: none;">Upload an image</a>
|
||||
<form id="searchbar" method="POST" enctype="multipart/form-data" name="form1" action="./searchByImg">
|
||||
<table cellspacing="1" cellpadding="1" border="0">
|
||||
<tr>
|
||||
<td valign="top">
|
||||
<input type="hidden" value="" name="" id="objId">
|
||||
<input type="hidden" value="true" name="tohtml">
|
||||
|
||||
<input style="display: none;" id="urlToUpload" name="url" type="text" size="49" onclick="" onchange="document.getElementById('queryImage').value=''">
|
||||
<input id="imageToUpload" name="image" type="file" size="38" onclick="" onchange="document.getElementById('queryImage').value=''">
|
||||
</td>
|
||||
<td valign="top">
|
||||
<input type="image" src="{{ url_for('static',filename='img/Search.png') }}" value="Search" title="Search" onclick="if (trim(document.getElementById('urlToUpload').value)=='' && trim(document.getElementById('imageToUpload').value)=='')return false;">
|
||||
</td>
|
||||
|
||||
</tr>
|
||||
</table>
|
||||
|
||||
</form></div>
|
||||
</td>
|
||||
</tr>
|
||||
</table>
|
||||
|
||||
|
||||
{%
|
||||
set css_classes = ["", "large polaroid img1","polaroid img2","small polaroid img3","medium polaroid img4","polaroid img5","polaroid img6","polaroid img7","small polaroid img8","medium polaroid img9","polaroid img10","small polaroid img11","small polaroid img12","small polaroid img13","small polaroid img14","polaroid img15"]
|
||||
|
||||
%}
|
||||
|
||||
<!-- <div align="center" class="photo-album">
|
||||
{% for i in range(0, 15) %}
|
||||
{% set id = random_ids[i] %}
|
||||
{% set objectUrlSmall = id%}
|
||||
{% set title = id.split("/")[0] %}
|
||||
<a href="searchById?tohtml=true&rescorer=false&bw=false&id={%print(id)%}" title="Click To Search" class="{%print(css_classes[i%15+1])%}"><img src="{%print(objectUrlSmall)%}" border="0">
|
||||
</a>
|
||||
{% endfor %}
|
||||
</div>
|
||||
<div align="center" style="padding-top: 40px;">
|
||||
<a href="./" title="more random images"><img src="{{ url_for('static',filename='img/refresh.png') }}" width=45></a>
|
||||
|
||||
</div>-->
|
||||
|
||||
</body>
|
||||
|
||||
</html>
|
||||
|
|
@ -0,0 +1,88 @@
|
|||
<!DOCTYPE html>
|
||||
<html lang="en">
|
||||
|
||||
<head>
|
||||
<title>Deep Image Search</title>
|
||||
<link rel="icon" href="{{ url_for('static',filename='img/favicon.ico') }}" />
|
||||
|
||||
<script src= "{{ url_for('static',filename='js/ui.js') }}"></script>
|
||||
|
||||
|
||||
</head>
|
||||
|
||||
<body>
|
||||
|
||||
<div>
|
||||
<table>
|
||||
<tr>
|
||||
<td><a href="." title="Home"><img
|
||||
src="{{ url_for('static',filename='img/aimh_logo.png') }}" border="0" align="bottom"
|
||||
width="160"></a></td>
|
||||
<td><img id="queryImage" src="{{session['query']}}" alt=""
|
||||
width="80" align="middle"></td>
|
||||
</table>
|
||||
|
||||
<table>
|
||||
<tr>
|
||||
<td colspan="3">
|
||||
<div id="searchForm">
|
||||
<span id="urlText" style="display: none;"><b>Paste image URL</b></span>
|
||||
<a href="#" id="urlLink" onclick="changeQueryBySampleMod('url')" >Paste image URL</a>
|
||||
<span id="uploadText"><b>Upload an image</b></span>
|
||||
<a href="#" id="uploadLink" onclick="changeQueryBySampleMod('upload')" style="display: none;">Upload an image</a>
|
||||
<form id="searchbar" method="POST" enctype="multipart/form-data" name="form1" action="./searchByImg">
|
||||
<table cellspacing="1" cellpadding="1" border="0">
|
||||
<tr>
|
||||
<td valign="top">
|
||||
<input type="hidden" value="" name="" id="objId">
|
||||
<input type="hidden" value="true" name="tohtml">
|
||||
|
||||
|
||||
<input style="display: none;" id="urlToUpload" name="url" type="text" size="49" onclick="" onchange="document.getElementById('queryImage').value=''">
|
||||
<input id="imageToUpload" name="image" type="file" size="38" onclick="" onchange="document.getElementById('queryImage').value=''">
|
||||
</td>
|
||||
<td valign="top">
|
||||
<input type="image" src="{{ url_for('static',filename='img/Search.png') }}" value="Search" title="Search" onclick="if (trim(document.getElementById('urlToUpload').value)=='' && trim(document.getElementById('imageToUpload').value)=='')return false;">
|
||||
</td>
|
||||
</tr>
|
||||
</table>
|
||||
|
||||
</form>
|
||||
</div>
|
||||
</td>
|
||||
</tr>
|
||||
</table>
|
||||
</div>
|
||||
|
||||
<div align="center">
|
||||
<table width="800">
|
||||
{% if results != None%}
|
||||
{% set columns = 0 %}
|
||||
{% for idx in range(1) %}
|
||||
{% if idx% 6 == 0 %}
|
||||
<tr>
|
||||
{% endif %}
|
||||
{% set id = results[0] %}
|
||||
{% set objectUrlSmall = 'img4class/' + id + '.jpg'%}
|
||||
{% set title = id.split("/")[0] %}
|
||||
{% set score = results[1] %}
|
||||
<td>
|
||||
<div>
|
||||
<h2>{%print(score)%}, {%print(title)%}</h2>
|
||||
<img title={{score}} style="width: 160px;" src="{%print(objectUrlSmall)%}" border="0">
|
||||
<!--<br> <span style="font-size: x-small;"><h1>{%print(title)%}</h1></span><br>-->
|
||||
</div>
|
||||
</td>
|
||||
{% set columns = columns + 1 %}
|
||||
{% endfor %}
|
||||
{% else %}
|
||||
<h1>Unknown class</h1>
|
||||
|
||||
{% endif %}
|
||||
|
||||
</table>
|
||||
</div>
|
||||
|
||||
</body>
|
||||
|
||||
</html>
|
||||
|
|
@ -0,0 +1,241 @@
|
|||
<#
|
||||
.Synopsis
|
||||
Activate a Python virtual environment for the current PowerShell session.
|
||||
|
||||
.Description
|
||||
Pushes the python executable for a virtual environment to the front of the
|
||||
$Env:PATH environment variable and sets the prompt to signify that you are
|
||||
in a Python virtual environment. Makes use of the command line switches as
|
||||
well as the `pyvenv.cfg` file values present in the virtual environment.
|
||||
|
||||
.Parameter VenvDir
|
||||
Path to the directory that contains the virtual environment to activate. The
|
||||
default value for this is the parent of the directory that the Activate.ps1
|
||||
script is located within.
|
||||
|
||||
.Parameter Prompt
|
||||
The prompt prefix to display when this virtual environment is activated. By
|
||||
default, this prompt is the name of the virtual environment folder (VenvDir)
|
||||
surrounded by parentheses and followed by a single space (ie. '(.venv) ').
|
||||
|
||||
.Example
|
||||
Activate.ps1
|
||||
Activates the Python virtual environment that contains the Activate.ps1 script.
|
||||
|
||||
.Example
|
||||
Activate.ps1 -Verbose
|
||||
Activates the Python virtual environment that contains the Activate.ps1 script,
|
||||
and shows extra information about the activation as it executes.
|
||||
|
||||
.Example
|
||||
Activate.ps1 -VenvDir C:\Users\MyUser\Common\.venv
|
||||
Activates the Python virtual environment located in the specified location.
|
||||
|
||||
.Example
|
||||
Activate.ps1 -Prompt "MyPython"
|
||||
Activates the Python virtual environment that contains the Activate.ps1 script,
|
||||
and prefixes the current prompt with the specified string (surrounded in
|
||||
parentheses) while the virtual environment is active.
|
||||
|
||||
.Notes
|
||||
On Windows, it may be required to enable this Activate.ps1 script by setting the
|
||||
execution policy for the user. You can do this by issuing the following PowerShell
|
||||
command:
|
||||
|
||||
PS C:\> Set-ExecutionPolicy -ExecutionPolicy RemoteSigned -Scope CurrentUser
|
||||
|
||||
For more information on Execution Policies:
|
||||
https://go.microsoft.com/fwlink/?LinkID=135170
|
||||
|
||||
#>
|
||||
Param(
|
||||
[Parameter(Mandatory = $false)]
|
||||
[String]
|
||||
$VenvDir,
|
||||
[Parameter(Mandatory = $false)]
|
||||
[String]
|
||||
$Prompt
|
||||
)
|
||||
|
||||
<# Function declarations --------------------------------------------------- #>
|
||||
|
||||
<#
|
||||
.Synopsis
|
||||
Remove all shell session elements added by the Activate script, including the
|
||||
addition of the virtual environment's Python executable from the beginning of
|
||||
the PATH variable.
|
||||
|
||||
.Parameter NonDestructive
|
||||
If present, do not remove this function from the global namespace for the
|
||||
session.
|
||||
|
||||
#>
|
||||
function global:deactivate ([switch]$NonDestructive) {
|
||||
# Revert to original values
|
||||
|
||||
# The prior prompt:
|
||||
if (Test-Path -Path Function:_OLD_VIRTUAL_PROMPT) {
|
||||
Copy-Item -Path Function:_OLD_VIRTUAL_PROMPT -Destination Function:prompt
|
||||
Remove-Item -Path Function:_OLD_VIRTUAL_PROMPT
|
||||
}
|
||||
|
||||
# The prior PYTHONHOME:
|
||||
if (Test-Path -Path Env:_OLD_VIRTUAL_PYTHONHOME) {
|
||||
Copy-Item -Path Env:_OLD_VIRTUAL_PYTHONHOME -Destination Env:PYTHONHOME
|
||||
Remove-Item -Path Env:_OLD_VIRTUAL_PYTHONHOME
|
||||
}
|
||||
|
||||
# The prior PATH:
|
||||
if (Test-Path -Path Env:_OLD_VIRTUAL_PATH) {
|
||||
Copy-Item -Path Env:_OLD_VIRTUAL_PATH -Destination Env:PATH
|
||||
Remove-Item -Path Env:_OLD_VIRTUAL_PATH
|
||||
}
|
||||
|
||||
# Just remove the VIRTUAL_ENV altogether:
|
||||
if (Test-Path -Path Env:VIRTUAL_ENV) {
|
||||
Remove-Item -Path env:VIRTUAL_ENV
|
||||
}
|
||||
|
||||
# Just remove the _PYTHON_VENV_PROMPT_PREFIX altogether:
|
||||
if (Get-Variable -Name "_PYTHON_VENV_PROMPT_PREFIX" -ErrorAction SilentlyContinue) {
|
||||
Remove-Variable -Name _PYTHON_VENV_PROMPT_PREFIX -Scope Global -Force
|
||||
}
|
||||
|
||||
# Leave deactivate function in the global namespace if requested:
|
||||
if (-not $NonDestructive) {
|
||||
Remove-Item -Path function:deactivate
|
||||
}
|
||||
}
|
||||
|
||||
<#
|
||||
.Description
|
||||
Get-PyVenvConfig parses the values from the pyvenv.cfg file located in the
|
||||
given folder, and returns them in a map.
|
||||
|
||||
For each line in the pyvenv.cfg file, if that line can be parsed into exactly
|
||||
two strings separated by `=` (with any amount of whitespace surrounding the =)
|
||||
then it is considered a `key = value` line. The left hand string is the key,
|
||||
the right hand is the value.
|
||||
|
||||
If the value starts with a `'` or a `"` then the first and last character is
|
||||
stripped from the value before being captured.
|
||||
|
||||
.Parameter ConfigDir
|
||||
Path to the directory that contains the `pyvenv.cfg` file.
|
||||
#>
|
||||
function Get-PyVenvConfig(
|
||||
[String]
|
||||
$ConfigDir
|
||||
) {
|
||||
Write-Verbose "Given ConfigDir=$ConfigDir, obtain values in pyvenv.cfg"
|
||||
|
||||
# Ensure the file exists, and issue a warning if it doesn't (but still allow the function to continue).
|
||||
$pyvenvConfigPath = Join-Path -Resolve -Path $ConfigDir -ChildPath 'pyvenv.cfg' -ErrorAction Continue
|
||||
|
||||
# An empty map will be returned if no config file is found.
|
||||
$pyvenvConfig = @{ }
|
||||
|
||||
if ($pyvenvConfigPath) {
|
||||
|
||||
Write-Verbose "File exists, parse `key = value` lines"
|
||||
$pyvenvConfigContent = Get-Content -Path $pyvenvConfigPath
|
||||
|
||||
$pyvenvConfigContent | ForEach-Object {
|
||||
$keyval = $PSItem -split "\s*=\s*", 2
|
||||
if ($keyval[0] -and $keyval[1]) {
|
||||
$val = $keyval[1]
|
||||
|
||||
# Remove extraneous quotations around a string value.
|
||||
if ("'""".Contains($val.Substring(0, 1))) {
|
||||
$val = $val.Substring(1, $val.Length - 2)
|
||||
}
|
||||
|
||||
$pyvenvConfig[$keyval[0]] = $val
|
||||
Write-Verbose "Adding Key: '$($keyval[0])'='$val'"
|
||||
}
|
||||
}
|
||||
}
|
||||
return $pyvenvConfig
|
||||
}
|
||||
|
||||
|
||||
<# Begin Activate script --------------------------------------------------- #>
|
||||
|
||||
# Determine the containing directory of this script
|
||||
$VenvExecPath = Split-Path -Parent $MyInvocation.MyCommand.Definition
|
||||
$VenvExecDir = Get-Item -Path $VenvExecPath
|
||||
|
||||
Write-Verbose "Activation script is located in path: '$VenvExecPath'"
|
||||
Write-Verbose "VenvExecDir Fullname: '$($VenvExecDir.FullName)"
|
||||
Write-Verbose "VenvExecDir Name: '$($VenvExecDir.Name)"
|
||||
|
||||
# Set values required in priority: CmdLine, ConfigFile, Default
|
||||
# First, get the location of the virtual environment, it might not be
|
||||
# VenvExecDir if specified on the command line.
|
||||
if ($VenvDir) {
|
||||
Write-Verbose "VenvDir given as parameter, using '$VenvDir' to determine values"
|
||||
}
|
||||
else {
|
||||
Write-Verbose "VenvDir not given as a parameter, using parent directory name as VenvDir."
|
||||
$VenvDir = $VenvExecDir.Parent.FullName.TrimEnd("\\/")
|
||||
Write-Verbose "VenvDir=$VenvDir"
|
||||
}
|
||||
|
||||
# Next, read the `pyvenv.cfg` file to determine any required value such
|
||||
# as `prompt`.
|
||||
$pyvenvCfg = Get-PyVenvConfig -ConfigDir $VenvDir
|
||||
|
||||
# Next, set the prompt from the command line, or the config file, or
|
||||
# just use the name of the virtual environment folder.
|
||||
if ($Prompt) {
|
||||
Write-Verbose "Prompt specified as argument, using '$Prompt'"
|
||||
}
|
||||
else {
|
||||
Write-Verbose "Prompt not specified as argument to script, checking pyvenv.cfg value"
|
||||
if ($pyvenvCfg -and $pyvenvCfg['prompt']) {
|
||||
Write-Verbose " Setting based on value in pyvenv.cfg='$($pyvenvCfg['prompt'])'"
|
||||
$Prompt = $pyvenvCfg['prompt'];
|
||||
}
|
||||
else {
|
||||
Write-Verbose " Setting prompt based on parent's directory's name. (Is the directory name passed to venv module when creating the virutal environment)"
|
||||
Write-Verbose " Got leaf-name of $VenvDir='$(Split-Path -Path $venvDir -Leaf)'"
|
||||
$Prompt = Split-Path -Path $venvDir -Leaf
|
||||
}
|
||||
}
|
||||
|
||||
Write-Verbose "Prompt = '$Prompt'"
|
||||
Write-Verbose "VenvDir='$VenvDir'"
|
||||
|
||||
# Deactivate any currently active virtual environment, but leave the
|
||||
# deactivate function in place.
|
||||
deactivate -nondestructive
|
||||
|
||||
# Now set the environment variable VIRTUAL_ENV, used by many tools to determine
|
||||
# that there is an activated venv.
|
||||
$env:VIRTUAL_ENV = $VenvDir
|
||||
|
||||
if (-not $Env:VIRTUAL_ENV_DISABLE_PROMPT) {
|
||||
|
||||
Write-Verbose "Setting prompt to '$Prompt'"
|
||||
|
||||
# Set the prompt to include the env name
|
||||
# Make sure _OLD_VIRTUAL_PROMPT is global
|
||||
function global:_OLD_VIRTUAL_PROMPT { "" }
|
||||
Copy-Item -Path function:prompt -Destination function:_OLD_VIRTUAL_PROMPT
|
||||
New-Variable -Name _PYTHON_VENV_PROMPT_PREFIX -Description "Python virtual environment prompt prefix" -Scope Global -Option ReadOnly -Visibility Public -Value $Prompt
|
||||
|
||||
function global:prompt {
|
||||
Write-Host -NoNewline -ForegroundColor Green "($_PYTHON_VENV_PROMPT_PREFIX) "
|
||||
_OLD_VIRTUAL_PROMPT
|
||||
}
|
||||
}
|
||||
|
||||
# Clear PYTHONHOME
|
||||
if (Test-Path -Path Env:PYTHONHOME) {
|
||||
Copy-Item -Path Env:PYTHONHOME -Destination Env:_OLD_VIRTUAL_PYTHONHOME
|
||||
Remove-Item -Path Env:PYTHONHOME
|
||||
}
|
||||
|
||||
# Add the venv to the PATH
|
||||
Copy-Item -Path Env:PATH -Destination Env:_OLD_VIRTUAL_PATH
|
||||
$Env:PATH = "$VenvExecDir$([System.IO.Path]::PathSeparator)$Env:PATH"
|
||||
|
|
@ -0,0 +1,76 @@
|
|||
# This file must be used with "source bin/activate" *from bash*
|
||||
# you cannot run it directly
|
||||
|
||||
deactivate () {
|
||||
# reset old environment variables
|
||||
if [ -n "${_OLD_VIRTUAL_PATH:-}" ] ; then
|
||||
PATH="${_OLD_VIRTUAL_PATH:-}"
|
||||
export PATH
|
||||
unset _OLD_VIRTUAL_PATH
|
||||
fi
|
||||
if [ -n "${_OLD_VIRTUAL_PYTHONHOME:-}" ] ; then
|
||||
PYTHONHOME="${_OLD_VIRTUAL_PYTHONHOME:-}"
|
||||
export PYTHONHOME
|
||||
unset _OLD_VIRTUAL_PYTHONHOME
|
||||
fi
|
||||
|
||||
# This should detect bash and zsh, which have a hash command that must
|
||||
# be called to get it to forget past commands. Without forgetting
|
||||
# past commands the $PATH changes we made may not be respected
|
||||
if [ -n "${BASH:-}" -o -n "${ZSH_VERSION:-}" ] ; then
|
||||
hash -r
|
||||
fi
|
||||
|
||||
if [ -n "${_OLD_VIRTUAL_PS1:-}" ] ; then
|
||||
PS1="${_OLD_VIRTUAL_PS1:-}"
|
||||
export PS1
|
||||
unset _OLD_VIRTUAL_PS1
|
||||
fi
|
||||
|
||||
unset VIRTUAL_ENV
|
||||
if [ ! "${1:-}" = "nondestructive" ] ; then
|
||||
# Self destruct!
|
||||
unset -f deactivate
|
||||
fi
|
||||
}
|
||||
|
||||
# unset irrelevant variables
|
||||
deactivate nondestructive
|
||||
|
||||
VIRTUAL_ENV="/media/Data/data/extension/img_recognition/code/venv"
|
||||
export VIRTUAL_ENV
|
||||
|
||||
_OLD_VIRTUAL_PATH="$PATH"
|
||||
PATH="$VIRTUAL_ENV/bin:$PATH"
|
||||
export PATH
|
||||
|
||||
# unset PYTHONHOME if set
|
||||
# this will fail if PYTHONHOME is set to the empty string (which is bad anyway)
|
||||
# could use `if (set -u; : $PYTHONHOME) ;` in bash
|
||||
if [ -n "${PYTHONHOME:-}" ] ; then
|
||||
_OLD_VIRTUAL_PYTHONHOME="${PYTHONHOME:-}"
|
||||
unset PYTHONHOME
|
||||
fi
|
||||
|
||||
if [ -z "${VIRTUAL_ENV_DISABLE_PROMPT:-}" ] ; then
|
||||
_OLD_VIRTUAL_PS1="${PS1:-}"
|
||||
if [ "x(venv) " != x ] ; then
|
||||
PS1="(venv) ${PS1:-}"
|
||||
else
|
||||
if [ "`basename \"$VIRTUAL_ENV\"`" = "__" ] ; then
|
||||
# special case for Aspen magic directories
|
||||
# see https://aspen.io/
|
||||
PS1="[`basename \`dirname \"$VIRTUAL_ENV\"\``] $PS1"
|
||||
else
|
||||
PS1="(`basename \"$VIRTUAL_ENV\"`)$PS1"
|
||||
fi
|
||||
fi
|
||||
export PS1
|
||||
fi
|
||||
|
||||
# This should detect bash and zsh, which have a hash command that must
|
||||
# be called to get it to forget past commands. Without forgetting
|
||||
# past commands the $PATH changes we made may not be respected
|
||||
if [ -n "${BASH:-}" -o -n "${ZSH_VERSION:-}" ] ; then
|
||||
hash -r
|
||||
fi
|
||||
|
|
@ -0,0 +1,37 @@
|
|||
# This file must be used with "source bin/activate.csh" *from csh*.
|
||||
# You cannot run it directly.
|
||||
# Created by Davide Di Blasi <davidedb@gmail.com>.
|
||||
# Ported to Python 3.3 venv by Andrew Svetlov <andrew.svetlov@gmail.com>
|
||||
|
||||
alias deactivate 'test $?_OLD_VIRTUAL_PATH != 0 && setenv PATH "$_OLD_VIRTUAL_PATH" && unset _OLD_VIRTUAL_PATH; rehash; test $?_OLD_VIRTUAL_PROMPT != 0 && set prompt="$_OLD_VIRTUAL_PROMPT" && unset _OLD_VIRTUAL_PROMPT; unsetenv VIRTUAL_ENV; test "\!:*" != "nondestructive" && unalias deactivate'
|
||||
|
||||
# Unset irrelevant variables.
|
||||
deactivate nondestructive
|
||||
|
||||
setenv VIRTUAL_ENV "/media/Data/data/extension/img_recognition/code/venv"
|
||||
|
||||
set _OLD_VIRTUAL_PATH="$PATH"
|
||||
setenv PATH "$VIRTUAL_ENV/bin:$PATH"
|
||||
|
||||
|
||||
set _OLD_VIRTUAL_PROMPT="$prompt"
|
||||
|
||||
if (! "$?VIRTUAL_ENV_DISABLE_PROMPT") then
|
||||
if ("venv" != "") then
|
||||
set env_name = "venv"
|
||||
else
|
||||
if (`basename "VIRTUAL_ENV"` == "__") then
|
||||
# special case for Aspen magic directories
|
||||
# see https://aspen.io/
|
||||
set env_name = `basename \`dirname "$VIRTUAL_ENV"\``
|
||||
else
|
||||
set env_name = `basename "$VIRTUAL_ENV"`
|
||||
endif
|
||||
endif
|
||||
set prompt = "[$env_name] $prompt"
|
||||
unset env_name
|
||||
endif
|
||||
|
||||
alias pydoc python -m pydoc
|
||||
|
||||
rehash
|
||||
|
|
@ -0,0 +1,75 @@
|
|||
# This file must be used with ". bin/activate.fish" *from fish* (http://fishshell.org)
|
||||
# you cannot run it directly
|
||||
|
||||
function deactivate -d "Exit virtualenv and return to normal shell environment"
|
||||
# reset old environment variables
|
||||
if test -n "$_OLD_VIRTUAL_PATH"
|
||||
set -gx PATH $_OLD_VIRTUAL_PATH
|
||||
set -e _OLD_VIRTUAL_PATH
|
||||
end
|
||||
if test -n "$_OLD_VIRTUAL_PYTHONHOME"
|
||||
set -gx PYTHONHOME $_OLD_VIRTUAL_PYTHONHOME
|
||||
set -e _OLD_VIRTUAL_PYTHONHOME
|
||||
end
|
||||
|
||||
if test -n "$_OLD_FISH_PROMPT_OVERRIDE"
|
||||
functions -e fish_prompt
|
||||
set -e _OLD_FISH_PROMPT_OVERRIDE
|
||||
functions -c _old_fish_prompt fish_prompt
|
||||
functions -e _old_fish_prompt
|
||||
end
|
||||
|
||||
set -e VIRTUAL_ENV
|
||||
if test "$argv[1]" != "nondestructive"
|
||||
# Self destruct!
|
||||
functions -e deactivate
|
||||
end
|
||||
end
|
||||
|
||||
# unset irrelevant variables
|
||||
deactivate nondestructive
|
||||
|
||||
set -gx VIRTUAL_ENV "/media/Data/data/extension/img_recognition/code/venv"
|
||||
|
||||
set -gx _OLD_VIRTUAL_PATH $PATH
|
||||
set -gx PATH "$VIRTUAL_ENV/bin" $PATH
|
||||
|
||||
# unset PYTHONHOME if set
|
||||
if set -q PYTHONHOME
|
||||
set -gx _OLD_VIRTUAL_PYTHONHOME $PYTHONHOME
|
||||
set -e PYTHONHOME
|
||||
end
|
||||
|
||||
if test -z "$VIRTUAL_ENV_DISABLE_PROMPT"
|
||||
# fish uses a function instead of an env var to generate the prompt.
|
||||
|
||||
# save the current fish_prompt function as the function _old_fish_prompt
|
||||
functions -c fish_prompt _old_fish_prompt
|
||||
|
||||
# with the original prompt function renamed, we can override with our own.
|
||||
function fish_prompt
|
||||
# Save the return status of the last command
|
||||
set -l old_status $status
|
||||
|
||||
# Prompt override?
|
||||
if test -n "(venv) "
|
||||
printf "%s%s" "(venv) " (set_color normal)
|
||||
else
|
||||
# ...Otherwise, prepend env
|
||||
set -l _checkbase (basename "$VIRTUAL_ENV")
|
||||
if test $_checkbase = "__"
|
||||
# special case for Aspen magic directories
|
||||
# see https://aspen.io/
|
||||
printf "%s[%s]%s " (set_color -b blue white) (basename (dirname "$VIRTUAL_ENV")) (set_color normal)
|
||||
else
|
||||
printf "%s(%s)%s" (set_color -b blue white) (basename "$VIRTUAL_ENV") (set_color normal)
|
||||
end
|
||||
end
|
||||
|
||||
# Restore the return status of the previous command.
|
||||
echo "exit $old_status" | .
|
||||
_old_fish_prompt
|
||||
end
|
||||
|
||||
set -gx _OLD_FISH_PROMPT_OVERRIDE "$VIRTUAL_ENV"
|
||||
end
|
||||
|
|
@ -0,0 +1,12 @@
|
|||
#!/media/Data/data/extension/img_recognition/code/venv/bin/python
|
||||
# EASY-INSTALL-ENTRY-SCRIPT: 'setuptools==40.8.0','console_scripts','easy_install'
|
||||
__requires__ = 'setuptools==40.8.0'
|
||||
import re
|
||||
import sys
|
||||
from pkg_resources import load_entry_point
|
||||
|
||||
if __name__ == '__main__':
|
||||
sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0])
|
||||
sys.exit(
|
||||
load_entry_point('setuptools==40.8.0', 'console_scripts', 'easy_install')()
|
||||
)
|
||||
|
|
@ -0,0 +1,12 @@
|
|||
#!/media/Data/data/extension/img_recognition/code/venv/bin/python
|
||||
# EASY-INSTALL-ENTRY-SCRIPT: 'setuptools==40.8.0','console_scripts','easy_install-3.8'
|
||||
__requires__ = 'setuptools==40.8.0'
|
||||
import re
|
||||
import sys
|
||||
from pkg_resources import load_entry_point
|
||||
|
||||
if __name__ == '__main__':
|
||||
sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0])
|
||||
sys.exit(
|
||||
load_entry_point('setuptools==40.8.0', 'console_scripts', 'easy_install-3.8')()
|
||||
)
|
||||
|
|
@ -0,0 +1,12 @@
|
|||
#!/media/Data/data/extension/img_recognition/code/venv/bin/python
|
||||
# EASY-INSTALL-ENTRY-SCRIPT: 'pip==19.0.3','console_scripts','pip'
|
||||
__requires__ = 'pip==19.0.3'
|
||||
import re
|
||||
import sys
|
||||
from pkg_resources import load_entry_point
|
||||
|
||||
if __name__ == '__main__':
|
||||
sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0])
|
||||
sys.exit(
|
||||
load_entry_point('pip==19.0.3', 'console_scripts', 'pip')()
|
||||
)
|
||||
|
|
@ -0,0 +1,12 @@
|
|||
#!/media/Data/data/extension/img_recognition/code/venv/bin/python
|
||||
# EASY-INSTALL-ENTRY-SCRIPT: 'pip==19.0.3','console_scripts','pip3'
|
||||
__requires__ = 'pip==19.0.3'
|
||||
import re
|
||||
import sys
|
||||
from pkg_resources import load_entry_point
|
||||
|
||||
if __name__ == '__main__':
|
||||
sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0])
|
||||
sys.exit(
|
||||
load_entry_point('pip==19.0.3', 'console_scripts', 'pip3')()
|
||||
)
|
||||
|
|
@ -0,0 +1,12 @@
|
|||
#!/media/Data/data/extension/img_recognition/code/venv/bin/python
|
||||
# EASY-INSTALL-ENTRY-SCRIPT: 'pip==19.0.3','console_scripts','pip3.8'
|
||||
__requires__ = 'pip==19.0.3'
|
||||
import re
|
||||
import sys
|
||||
from pkg_resources import load_entry_point
|
||||
|
||||
if __name__ == '__main__':
|
||||
sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0])
|
||||
sys.exit(
|
||||
load_entry_point('pip==19.0.3', 'console_scripts', 'pip3.8')()
|
||||
)
|
||||
|
|
@ -0,0 +1 @@
|
|||
python3.8
|
||||
|
|
@ -0,0 +1 @@
|
|||
python3.8
|
||||
|
|
@ -0,0 +1 @@
|
|||
/usr/bin/python3.8
|
||||
|
|
@ -0,0 +1,2 @@
|
|||
./setuptools-40.8.0-py3.8.egg
|
||||
./pip-19.0.3-py3.8.egg
|
||||
|
|
@ -0,0 +1,73 @@
|
|||
Metadata-Version: 1.2
|
||||
Name: pip
|
||||
Version: 19.0.3
|
||||
Summary: The PyPA recommended tool for installing Python packages.
|
||||
Home-page: https://pip.pypa.io/
|
||||
Author: The pip developers
|
||||
Author-email: pypa-dev@groups.google.com
|
||||
License: MIT
|
||||
Description: pip - The Python Package Installer
|
||||
==================================
|
||||
|
||||
.. image:: https://img.shields.io/pypi/v/pip.svg
|
||||
:target: https://pypi.org/project/pip/
|
||||
|
||||
.. image:: https://readthedocs.org/projects/pip/badge/?version=latest
|
||||
:target: https://pip.pypa.io/en/latest
|
||||
|
||||
pip is the `package installer`_ for Python. You can use pip to install packages from the `Python Package Index`_ and other indexes.
|
||||
|
||||
Please take a look at our documentation for how to install and use pip:
|
||||
|
||||
* `Installation`_
|
||||
* `Usage`_
|
||||
* `Release notes`_
|
||||
|
||||
If you find bugs, need help, or want to talk to the developers please use our mailing lists or chat rooms:
|
||||
|
||||
* `Issue tracking`_
|
||||
* `Discourse channel`_
|
||||
* `User IRC`_
|
||||
|
||||
If you want to get involved head over to GitHub to get the source code and feel free to jump on the developer mailing lists and chat rooms:
|
||||
|
||||
* `GitHub page`_
|
||||
* `Dev mailing list`_
|
||||
* `Dev IRC`_
|
||||
|
||||
Code of Conduct
|
||||
---------------
|
||||
|
||||
Everyone interacting in the pip project's codebases, issue trackers, chat
|
||||
rooms, and mailing lists is expected to follow the `PyPA Code of Conduct`_.
|
||||
|
||||
.. _package installer: https://packaging.python.org/en/latest/current/
|
||||
.. _Python Package Index: https://pypi.org
|
||||
.. _Installation: https://pip.pypa.io/en/stable/installing.html
|
||||
.. _Usage: https://pip.pypa.io/en/stable/
|
||||
.. _Release notes: https://pip.pypa.io/en/stable/news.html
|
||||
.. _GitHub page: https://github.com/pypa/pip
|
||||
.. _Issue tracking: https://github.com/pypa/pip/issues
|
||||
.. _Discourse channel: https://discuss.python.org/c/packaging
|
||||
.. _Dev mailing list: https://groups.google.com/forum/#!forum/pypa-dev
|
||||
.. _User IRC: https://webchat.freenode.net/?channels=%23pypa
|
||||
.. _Dev IRC: https://webchat.freenode.net/?channels=%23pypa-dev
|
||||
.. _PyPA Code of Conduct: https://www.pypa.io/en/latest/code-of-conduct/
|
||||
|
||||
Keywords: distutils easy_install egg setuptools wheel virtualenv
|
||||
Platform: UNKNOWN
|
||||
Classifier: Development Status :: 5 - Production/Stable
|
||||
Classifier: Intended Audience :: Developers
|
||||
Classifier: License :: OSI Approved :: MIT License
|
||||
Classifier: Topic :: Software Development :: Build Tools
|
||||
Classifier: Programming Language :: Python
|
||||
Classifier: Programming Language :: Python :: 2
|
||||
Classifier: Programming Language :: Python :: 2.7
|
||||
Classifier: Programming Language :: Python :: 3
|
||||
Classifier: Programming Language :: Python :: 3.4
|
||||
Classifier: Programming Language :: Python :: 3.5
|
||||
Classifier: Programming Language :: Python :: 3.6
|
||||
Classifier: Programming Language :: Python :: 3.7
|
||||
Classifier: Programming Language :: Python :: Implementation :: CPython
|
||||
Classifier: Programming Language :: Python :: Implementation :: PyPy
|
||||
Requires-Python: >=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*
|
||||
|
|
@ -0,0 +1,391 @@
|
|||
AUTHORS.txt
|
||||
LICENSE.txt
|
||||
MANIFEST.in
|
||||
NEWS.rst
|
||||
README.rst
|
||||
pyproject.toml
|
||||
setup.cfg
|
||||
setup.py
|
||||
docs/pip_sphinxext.py
|
||||
docs/html/conf.py
|
||||
docs/html/cookbook.rst
|
||||
docs/html/index.rst
|
||||
docs/html/installing.rst
|
||||
docs/html/logic.rst
|
||||
docs/html/news.rst
|
||||
docs/html/quickstart.rst
|
||||
docs/html/usage.rst
|
||||
docs/html/user_guide.rst
|
||||
docs/html/development/configuration.rst
|
||||
docs/html/development/contributing.rst
|
||||
docs/html/development/getting-started.rst
|
||||
docs/html/development/index.rst
|
||||
docs/html/development/release-process.rst
|
||||
docs/html/development/vendoring-policy.rst
|
||||
docs/html/reference/index.rst
|
||||
docs/html/reference/pip.rst
|
||||
docs/html/reference/pip_check.rst
|
||||
docs/html/reference/pip_config.rst
|
||||
docs/html/reference/pip_download.rst
|
||||
docs/html/reference/pip_freeze.rst
|
||||
docs/html/reference/pip_hash.rst
|
||||
docs/html/reference/pip_install.rst
|
||||
docs/html/reference/pip_list.rst
|
||||
docs/html/reference/pip_search.rst
|
||||
docs/html/reference/pip_show.rst
|
||||
docs/html/reference/pip_uninstall.rst
|
||||
docs/html/reference/pip_wheel.rst
|
||||
docs/man/index.rst
|
||||
docs/man/commands/check.rst
|
||||
docs/man/commands/config.rst
|
||||
docs/man/commands/download.rst
|
||||
docs/man/commands/freeze.rst
|
||||
docs/man/commands/hash.rst
|
||||
docs/man/commands/help.rst
|
||||
docs/man/commands/install.rst
|
||||
docs/man/commands/list.rst
|
||||
docs/man/commands/search.rst
|
||||
docs/man/commands/show.rst
|
||||
docs/man/commands/uninstall.rst
|
||||
docs/man/commands/wheel.rst
|
||||
src/pip/__init__.py
|
||||
src/pip/__main__.py
|
||||
src/pip.egg-info/PKG-INFO
|
||||
src/pip.egg-info/SOURCES.txt
|
||||
src/pip.egg-info/dependency_links.txt
|
||||
src/pip.egg-info/entry_points.txt
|
||||
src/pip.egg-info/not-zip-safe
|
||||
src/pip.egg-info/top_level.txt
|
||||
src/pip/_internal/__init__.py
|
||||
src/pip/_internal/build_env.py
|
||||
src/pip/_internal/cache.py
|
||||
src/pip/_internal/configuration.py
|
||||
src/pip/_internal/download.py
|
||||
src/pip/_internal/exceptions.py
|
||||
src/pip/_internal/index.py
|
||||
src/pip/_internal/locations.py
|
||||
src/pip/_internal/pep425tags.py
|
||||
src/pip/_internal/pyproject.py
|
||||
src/pip/_internal/resolve.py
|
||||
src/pip/_internal/wheel.py
|
||||
src/pip/_internal/cli/__init__.py
|
||||
src/pip/_internal/cli/autocompletion.py
|
||||
src/pip/_internal/cli/base_command.py
|
||||
src/pip/_internal/cli/cmdoptions.py
|
||||
src/pip/_internal/cli/main_parser.py
|
||||
src/pip/_internal/cli/parser.py
|
||||
src/pip/_internal/cli/status_codes.py
|
||||
src/pip/_internal/commands/__init__.py
|
||||
src/pip/_internal/commands/check.py
|
||||
src/pip/_internal/commands/completion.py
|
||||
src/pip/_internal/commands/configuration.py
|
||||
src/pip/_internal/commands/download.py
|
||||
src/pip/_internal/commands/freeze.py
|
||||
src/pip/_internal/commands/hash.py
|
||||
src/pip/_internal/commands/help.py
|
||||
src/pip/_internal/commands/install.py
|
||||
src/pip/_internal/commands/list.py
|
||||
src/pip/_internal/commands/search.py
|
||||
src/pip/_internal/commands/show.py
|
||||
src/pip/_internal/commands/uninstall.py
|
||||
src/pip/_internal/commands/wheel.py
|
||||
src/pip/_internal/models/__init__.py
|
||||
src/pip/_internal/models/candidate.py
|
||||
src/pip/_internal/models/format_control.py
|
||||
src/pip/_internal/models/index.py
|
||||
src/pip/_internal/models/link.py
|
||||
src/pip/_internal/operations/__init__.py
|
||||
src/pip/_internal/operations/check.py
|
||||
src/pip/_internal/operations/freeze.py
|
||||
src/pip/_internal/operations/prepare.py
|
||||
src/pip/_internal/req/__init__.py
|
||||
src/pip/_internal/req/constructors.py
|
||||
src/pip/_internal/req/req_file.py
|
||||
src/pip/_internal/req/req_install.py
|
||||
src/pip/_internal/req/req_set.py
|
||||
src/pip/_internal/req/req_tracker.py
|
||||
src/pip/_internal/req/req_uninstall.py
|
||||
src/pip/_internal/utils/__init__.py
|
||||
src/pip/_internal/utils/appdirs.py
|
||||
src/pip/_internal/utils/compat.py
|
||||
src/pip/_internal/utils/deprecation.py
|
||||
src/pip/_internal/utils/encoding.py
|
||||
src/pip/_internal/utils/filesystem.py
|
||||
src/pip/_internal/utils/glibc.py
|
||||
src/pip/_internal/utils/hashes.py
|
||||
src/pip/_internal/utils/logging.py
|
||||
src/pip/_internal/utils/misc.py
|
||||
src/pip/_internal/utils/models.py
|
||||
src/pip/_internal/utils/outdated.py
|
||||
src/pip/_internal/utils/packaging.py
|
||||
src/pip/_internal/utils/setuptools_build.py
|
||||
src/pip/_internal/utils/temp_dir.py
|
||||
src/pip/_internal/utils/typing.py
|
||||
src/pip/_internal/utils/ui.py
|
||||
src/pip/_internal/vcs/__init__.py
|
||||
src/pip/_internal/vcs/bazaar.py
|
||||
src/pip/_internal/vcs/git.py
|
||||
src/pip/_internal/vcs/mercurial.py
|
||||
src/pip/_internal/vcs/subversion.py
|
||||
src/pip/_vendor/README.rst
|
||||
src/pip/_vendor/__init__.py
|
||||
src/pip/_vendor/appdirs.LICENSE.txt
|
||||
src/pip/_vendor/appdirs.py
|
||||
src/pip/_vendor/distro.LICENSE
|
||||
src/pip/_vendor/distro.py
|
||||
src/pip/_vendor/ipaddress.LICENSE
|
||||
src/pip/_vendor/ipaddress.py
|
||||
src/pip/_vendor/pyparsing.LICENSE
|
||||
src/pip/_vendor/pyparsing.py
|
||||
src/pip/_vendor/retrying.LICENSE
|
||||
src/pip/_vendor/retrying.py
|
||||
src/pip/_vendor/six.LICENSE
|
||||
src/pip/_vendor/six.py
|
||||
src/pip/_vendor/vendor.txt
|
||||
src/pip/_vendor/cachecontrol/LICENSE.txt
|
||||
src/pip/_vendor/cachecontrol/__init__.py
|
||||
src/pip/_vendor/cachecontrol/_cmd.py
|
||||
src/pip/_vendor/cachecontrol/adapter.py
|
||||
src/pip/_vendor/cachecontrol/cache.py
|
||||
src/pip/_vendor/cachecontrol/compat.py
|
||||
src/pip/_vendor/cachecontrol/controller.py
|
||||
src/pip/_vendor/cachecontrol/filewrapper.py
|
||||
src/pip/_vendor/cachecontrol/heuristics.py
|
||||
src/pip/_vendor/cachecontrol/serialize.py
|
||||
src/pip/_vendor/cachecontrol/wrapper.py
|
||||
src/pip/_vendor/cachecontrol/caches/__init__.py
|
||||
src/pip/_vendor/cachecontrol/caches/file_cache.py
|
||||
src/pip/_vendor/cachecontrol/caches/redis_cache.py
|
||||
src/pip/_vendor/certifi/LICENSE
|
||||
src/pip/_vendor/certifi/__init__.py
|
||||
src/pip/_vendor/certifi/__main__.py
|
||||
src/pip/_vendor/certifi/cacert.pem
|
||||
src/pip/_vendor/certifi/core.py
|
||||
src/pip/_vendor/chardet/LICENSE
|
||||
src/pip/_vendor/chardet/__init__.py
|
||||
src/pip/_vendor/chardet/big5freq.py
|
||||
src/pip/_vendor/chardet/big5prober.py
|
||||
src/pip/_vendor/chardet/chardistribution.py
|
||||
src/pip/_vendor/chardet/charsetgroupprober.py
|
||||
src/pip/_vendor/chardet/charsetprober.py
|
||||
src/pip/_vendor/chardet/codingstatemachine.py
|
||||
src/pip/_vendor/chardet/compat.py
|
||||
src/pip/_vendor/chardet/cp949prober.py
|
||||
src/pip/_vendor/chardet/enums.py
|
||||
src/pip/_vendor/chardet/escprober.py
|
||||
src/pip/_vendor/chardet/escsm.py
|
||||
src/pip/_vendor/chardet/eucjpprober.py
|
||||
src/pip/_vendor/chardet/euckrfreq.py
|
||||
src/pip/_vendor/chardet/euckrprober.py
|
||||
src/pip/_vendor/chardet/euctwfreq.py
|
||||
src/pip/_vendor/chardet/euctwprober.py
|
||||
src/pip/_vendor/chardet/gb2312freq.py
|
||||
src/pip/_vendor/chardet/gb2312prober.py
|
||||
src/pip/_vendor/chardet/hebrewprober.py
|
||||
src/pip/_vendor/chardet/jisfreq.py
|
||||
src/pip/_vendor/chardet/jpcntx.py
|
||||
src/pip/_vendor/chardet/langbulgarianmodel.py
|
||||
src/pip/_vendor/chardet/langcyrillicmodel.py
|
||||
src/pip/_vendor/chardet/langgreekmodel.py
|
||||
src/pip/_vendor/chardet/langhebrewmodel.py
|
||||
src/pip/_vendor/chardet/langhungarianmodel.py
|
||||
src/pip/_vendor/chardet/langthaimodel.py
|
||||
src/pip/_vendor/chardet/langturkishmodel.py
|
||||
src/pip/_vendor/chardet/latin1prober.py
|
||||
src/pip/_vendor/chardet/mbcharsetprober.py
|
||||
src/pip/_vendor/chardet/mbcsgroupprober.py
|
||||
src/pip/_vendor/chardet/mbcssm.py
|
||||
src/pip/_vendor/chardet/sbcharsetprober.py
|
||||
src/pip/_vendor/chardet/sbcsgroupprober.py
|
||||
src/pip/_vendor/chardet/sjisprober.py
|
||||
src/pip/_vendor/chardet/universaldetector.py
|
||||
src/pip/_vendor/chardet/utf8prober.py
|
||||
src/pip/_vendor/chardet/version.py
|
||||
src/pip/_vendor/chardet/cli/__init__.py
|
||||
src/pip/_vendor/chardet/cli/chardetect.py
|
||||
src/pip/_vendor/colorama/LICENSE.txt
|
||||
src/pip/_vendor/colorama/__init__.py
|
||||
src/pip/_vendor/colorama/ansi.py
|
||||
src/pip/_vendor/colorama/ansitowin32.py
|
||||
src/pip/_vendor/colorama/initialise.py
|
||||
src/pip/_vendor/colorama/win32.py
|
||||
src/pip/_vendor/colorama/winterm.py
|
||||
src/pip/_vendor/distlib/LICENSE.txt
|
||||
src/pip/_vendor/distlib/__init__.py
|
||||
src/pip/_vendor/distlib/compat.py
|
||||
src/pip/_vendor/distlib/database.py
|
||||
src/pip/_vendor/distlib/index.py
|
||||
src/pip/_vendor/distlib/locators.py
|
||||
src/pip/_vendor/distlib/manifest.py
|
||||
src/pip/_vendor/distlib/markers.py
|
||||
src/pip/_vendor/distlib/metadata.py
|
||||
src/pip/_vendor/distlib/resources.py
|
||||
src/pip/_vendor/distlib/scripts.py
|
||||
src/pip/_vendor/distlib/t32.exe
|
||||
src/pip/_vendor/distlib/t64.exe
|
||||
src/pip/_vendor/distlib/util.py
|
||||
src/pip/_vendor/distlib/version.py
|
||||
src/pip/_vendor/distlib/w32.exe
|
||||
src/pip/_vendor/distlib/w64.exe
|
||||
src/pip/_vendor/distlib/wheel.py
|
||||
src/pip/_vendor/distlib/_backport/__init__.py
|
||||
src/pip/_vendor/distlib/_backport/misc.py
|
||||
src/pip/_vendor/distlib/_backport/shutil.py
|
||||
src/pip/_vendor/distlib/_backport/sysconfig.cfg
|
||||
src/pip/_vendor/distlib/_backport/sysconfig.py
|
||||
src/pip/_vendor/distlib/_backport/tarfile.py
|
||||
src/pip/_vendor/html5lib/LICENSE
|
||||
src/pip/_vendor/html5lib/__init__.py
|
||||
src/pip/_vendor/html5lib/_ihatexml.py
|
||||
src/pip/_vendor/html5lib/_inputstream.py
|
||||
src/pip/_vendor/html5lib/_tokenizer.py
|
||||
src/pip/_vendor/html5lib/_utils.py
|
||||
src/pip/_vendor/html5lib/constants.py
|
||||
src/pip/_vendor/html5lib/html5parser.py
|
||||
src/pip/_vendor/html5lib/serializer.py
|
||||
src/pip/_vendor/html5lib/_trie/__init__.py
|
||||
src/pip/_vendor/html5lib/_trie/_base.py
|
||||
src/pip/_vendor/html5lib/_trie/datrie.py
|
||||
src/pip/_vendor/html5lib/_trie/py.py
|
||||
src/pip/_vendor/html5lib/filters/__init__.py
|
||||
src/pip/_vendor/html5lib/filters/alphabeticalattributes.py
|
||||
src/pip/_vendor/html5lib/filters/base.py
|
||||
src/pip/_vendor/html5lib/filters/inject_meta_charset.py
|
||||
src/pip/_vendor/html5lib/filters/lint.py
|
||||
src/pip/_vendor/html5lib/filters/optionaltags.py
|
||||
src/pip/_vendor/html5lib/filters/sanitizer.py
|
||||
src/pip/_vendor/html5lib/filters/whitespace.py
|
||||
src/pip/_vendor/html5lib/treeadapters/__init__.py
|
||||
src/pip/_vendor/html5lib/treeadapters/genshi.py
|
||||
src/pip/_vendor/html5lib/treeadapters/sax.py
|
||||
src/pip/_vendor/html5lib/treebuilders/__init__.py
|
||||
src/pip/_vendor/html5lib/treebuilders/base.py
|
||||
src/pip/_vendor/html5lib/treebuilders/dom.py
|
||||
src/pip/_vendor/html5lib/treebuilders/etree.py
|
||||
src/pip/_vendor/html5lib/treebuilders/etree_lxml.py
|
||||
src/pip/_vendor/html5lib/treewalkers/__init__.py
|
||||
src/pip/_vendor/html5lib/treewalkers/base.py
|
||||
src/pip/_vendor/html5lib/treewalkers/dom.py
|
||||
src/pip/_vendor/html5lib/treewalkers/etree.py
|
||||
src/pip/_vendor/html5lib/treewalkers/etree_lxml.py
|
||||
src/pip/_vendor/html5lib/treewalkers/genshi.py
|
||||
src/pip/_vendor/idna/LICENSE.rst
|
||||
src/pip/_vendor/idna/__init__.py
|
||||
src/pip/_vendor/idna/codec.py
|
||||
src/pip/_vendor/idna/compat.py
|
||||
src/pip/_vendor/idna/core.py
|
||||
src/pip/_vendor/idna/idnadata.py
|
||||
src/pip/_vendor/idna/intranges.py
|
||||
src/pip/_vendor/idna/package_data.py
|
||||
src/pip/_vendor/idna/uts46data.py
|
||||
src/pip/_vendor/lockfile/LICENSE
|
||||
src/pip/_vendor/lockfile/__init__.py
|
||||
src/pip/_vendor/lockfile/linklockfile.py
|
||||
src/pip/_vendor/lockfile/mkdirlockfile.py
|
||||
src/pip/_vendor/lockfile/pidlockfile.py
|
||||
src/pip/_vendor/lockfile/sqlitelockfile.py
|
||||
src/pip/_vendor/lockfile/symlinklockfile.py
|
||||
src/pip/_vendor/msgpack/COPYING
|
||||
src/pip/_vendor/msgpack/__init__.py
|
||||
src/pip/_vendor/msgpack/_version.py
|
||||
src/pip/_vendor/msgpack/exceptions.py
|
||||
src/pip/_vendor/msgpack/fallback.py
|
||||
src/pip/_vendor/packaging/LICENSE
|
||||
src/pip/_vendor/packaging/LICENSE.APACHE
|
||||
src/pip/_vendor/packaging/LICENSE.BSD
|
||||
src/pip/_vendor/packaging/__about__.py
|
||||
src/pip/_vendor/packaging/__init__.py
|
||||
src/pip/_vendor/packaging/_compat.py
|
||||
src/pip/_vendor/packaging/_structures.py
|
||||
src/pip/_vendor/packaging/markers.py
|
||||
src/pip/_vendor/packaging/requirements.py
|
||||
src/pip/_vendor/packaging/specifiers.py
|
||||
src/pip/_vendor/packaging/utils.py
|
||||
src/pip/_vendor/packaging/version.py
|
||||
src/pip/_vendor/pep517/LICENSE
|
||||
src/pip/_vendor/pep517/__init__.py
|
||||
src/pip/_vendor/pep517/_in_process.py
|
||||
src/pip/_vendor/pep517/build.py
|
||||
src/pip/_vendor/pep517/check.py
|
||||
src/pip/_vendor/pep517/colorlog.py
|
||||
src/pip/_vendor/pep517/compat.py
|
||||
src/pip/_vendor/pep517/envbuild.py
|
||||
src/pip/_vendor/pep517/wrappers.py
|
||||
src/pip/_vendor/pkg_resources/LICENSE
|
||||
src/pip/_vendor/pkg_resources/__init__.py
|
||||
src/pip/_vendor/pkg_resources/py31compat.py
|
||||
src/pip/_vendor/progress/LICENSE
|
||||
src/pip/_vendor/progress/__init__.py
|
||||
src/pip/_vendor/progress/bar.py
|
||||
src/pip/_vendor/progress/counter.py
|
||||
src/pip/_vendor/progress/helpers.py
|
||||
src/pip/_vendor/progress/spinner.py
|
||||
src/pip/_vendor/pytoml/LICENSE
|
||||
src/pip/_vendor/pytoml/__init__.py
|
||||
src/pip/_vendor/pytoml/core.py
|
||||
src/pip/_vendor/pytoml/parser.py
|
||||
src/pip/_vendor/pytoml/test.py
|
||||
src/pip/_vendor/pytoml/utils.py
|
||||
src/pip/_vendor/pytoml/writer.py
|
||||
src/pip/_vendor/requests/LICENSE
|
||||
src/pip/_vendor/requests/__init__.py
|
||||
src/pip/_vendor/requests/__version__.py
|
||||
src/pip/_vendor/requests/_internal_utils.py
|
||||
src/pip/_vendor/requests/adapters.py
|
||||
src/pip/_vendor/requests/api.py
|
||||
src/pip/_vendor/requests/auth.py
|
||||
src/pip/_vendor/requests/certs.py
|
||||
src/pip/_vendor/requests/compat.py
|
||||
src/pip/_vendor/requests/cookies.py
|
||||
src/pip/_vendor/requests/exceptions.py
|
||||
src/pip/_vendor/requests/help.py
|
||||
src/pip/_vendor/requests/hooks.py
|
||||
src/pip/_vendor/requests/models.py
|
||||
src/pip/_vendor/requests/packages.py
|
||||
src/pip/_vendor/requests/sessions.py
|
||||
src/pip/_vendor/requests/status_codes.py
|
||||
src/pip/_vendor/requests/structures.py
|
||||
src/pip/_vendor/requests/utils.py
|
||||
src/pip/_vendor/urllib3/LICENSE.txt
|
||||
src/pip/_vendor/urllib3/__init__.py
|
||||
src/pip/_vendor/urllib3/_collections.py
|
||||
src/pip/_vendor/urllib3/connection.py
|
||||
src/pip/_vendor/urllib3/connectionpool.py
|
||||
src/pip/_vendor/urllib3/exceptions.py
|
||||
src/pip/_vendor/urllib3/fields.py
|
||||
src/pip/_vendor/urllib3/filepost.py
|
||||
src/pip/_vendor/urllib3/poolmanager.py
|
||||
src/pip/_vendor/urllib3/request.py
|
||||
src/pip/_vendor/urllib3/response.py
|
||||
src/pip/_vendor/urllib3/contrib/__init__.py
|
||||
src/pip/_vendor/urllib3/contrib/_appengine_environ.py
|
||||
src/pip/_vendor/urllib3/contrib/appengine.py
|
||||
src/pip/_vendor/urllib3/contrib/ntlmpool.py
|
||||
src/pip/_vendor/urllib3/contrib/pyopenssl.py
|
||||
src/pip/_vendor/urllib3/contrib/securetransport.py
|
||||
src/pip/_vendor/urllib3/contrib/socks.py
|
||||
src/pip/_vendor/urllib3/contrib/_securetransport/__init__.py
|
||||
src/pip/_vendor/urllib3/contrib/_securetransport/bindings.py
|
||||
src/pip/_vendor/urllib3/contrib/_securetransport/low_level.py
|
||||
src/pip/_vendor/urllib3/packages/__init__.py
|
||||
src/pip/_vendor/urllib3/packages/six.py
|
||||
src/pip/_vendor/urllib3/packages/backports/__init__.py
|
||||
src/pip/_vendor/urllib3/packages/backports/makefile.py
|
||||
src/pip/_vendor/urllib3/packages/ssl_match_hostname/__init__.py
|
||||
src/pip/_vendor/urllib3/packages/ssl_match_hostname/_implementation.py
|
||||
src/pip/_vendor/urllib3/util/__init__.py
|
||||
src/pip/_vendor/urllib3/util/connection.py
|
||||
src/pip/_vendor/urllib3/util/queue.py
|
||||
src/pip/_vendor/urllib3/util/request.py
|
||||
src/pip/_vendor/urllib3/util/response.py
|
||||
src/pip/_vendor/urllib3/util/retry.py
|
||||
src/pip/_vendor/urllib3/util/ssl_.py
|
||||
src/pip/_vendor/urllib3/util/timeout.py
|
||||
src/pip/_vendor/urllib3/util/url.py
|
||||
src/pip/_vendor/urllib3/util/wait.py
|
||||
src/pip/_vendor/webencodings/LICENSE
|
||||
src/pip/_vendor/webencodings/__init__.py
|
||||
src/pip/_vendor/webencodings/labels.py
|
||||
src/pip/_vendor/webencodings/mklabels.py
|
||||
src/pip/_vendor/webencodings/tests.py
|
||||
src/pip/_vendor/webencodings/x_user_defined.py
|
||||
|
|
@ -0,0 +1 @@
|
|||
|
||||
|
|
@ -0,0 +1,5 @@
|
|||
[console_scripts]
|
||||
pip = pip._internal:main
|
||||
pip3 = pip._internal:main
|
||||
pip3.8 = pip._internal:main
|
||||
|
||||
|
|
@ -0,0 +1 @@
|
|||
|
||||
|
|
@ -0,0 +1 @@
|
|||
pip
|
||||
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Reference in New Issue