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`image_batch_array, label_batch_array, bbox_batch_array, landmark_batch_array = sess.run([image_batch, label_batch, bbox_batch, landmark_batch])
image_batch_array, landmark_batch_array = random_flip_images(image_batch_array, label_batch_array, landmark_batch_array) _, _, summary = sess.run([train_op, lr_op, summary_op], feed_dict={input_image: image_batch_array,label: label_batch_array,bbox_target: bbox_batch_array,landmark_target: landmark_batch_array})`
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你好,不知道你是否已经有了结论,我个人的理解是:在gen_hard_example.py与gen_12net_data.py中,已经对图片进行了剪裁,就相当于一个个box,因此到这段程序中实际就是在对box与landmark进行flip。
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`image_batch_array, label_batch_array, bbox_batch_array, landmark_batch_array = sess.run([image_batch, label_batch, bbox_batch, landmark_batch])
随机翻转图像
image_batch_array, landmark_batch_array = random_flip_images(image_batch_array, label_batch_array, landmark_batch_array)
_, _, summary = sess.run([train_op, lr_op, summary_op], feed_dict={input_image: image_batch_array,label: label_batch_array,bbox_target: bbox_batch_array,landmark_target: landmark_batch_array})`
The text was updated successfully, but these errors were encountered: