010ca73fe1675cf908dcc01868cdeb2eb58431a1,dvalib/facerecognition.py,,represent,#Any#Any#Any#,102

Before Change

                paths_batch = paths[start_index:end_index]
                for fname in paths_batch:
                    count += 1
                    fh.write("{}_{}\n".format(fname,paths_to_pk[fname]))
                images = facenet.load_data(paths_batch, do_random_crop=False, do_random_flip=False,image_size=image_size, do_prewhiten=True)
                feed_dict = {images_placeholder: images, phase_train_placeholder: False}
                emb_array[start_index:end_index, :] = sess.run(embeddings, feed_dict=feed_dict)
            time_avg_forward_pass = (time.time() - start_time) / float(nrof_images)

After Change

                paths_batch = paths[start_index:end_index]
                for eindex, fname in enumerate(paths_batch):
                    count += 1
                    entry = {
                        "path": fname,
                        "detection_primary_key": paths_to_pk[fname],
                        "index": eindex,
                        "type": "detection"
                    }
                    entries.append(entry)
                images = facenet.load_data(paths_batch, do_random_crop=False, do_random_flip=False,image_size=image_size, do_prewhiten=True)
                feed_dict = {images_placeholder: images, phase_train_placeholder: False}
                emb_array[start_index:end_index, :] = sess.run(embeddings, feed_dict=feed_dict)

Instances