TensorFlow2.0-Examples
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YunYang1994
🙄 Difficult algorithm, Simple code.
with my own images , I got error as below when I tried run make_data.py Traceback (most recent call last): File "make_data.py", line 111, in data[0] = make_image(data, image_paths[idx], ratio)...
出现 Traceback (most recent call last): File "yymnist/make_data.py", line 114, in data[0] = make_image(data, image_paths[idx], ratio) File "yymnist/make_data.py", line 62, in make_image image = cv2.resize(image, (int(28*ratio), int(28*ratio))) cv2.error: OpenCV(4.2.0) C:\projects\opencv-python\opencv\modules\imgproc\src\resize.cpp:4045:...
The GAN loss binary_cross_entropy, I think, should take logits and labels both in (0,1), Maybe the author forget to add sigmoid activation in the last dense layer of Discriminator? ?...
I just write one line: model.save("./yolov3") in for epoch in range(cfg.TRAIN.EPOCHS): for image_data, target in trainset: train_step(image_data, target, epoch) for image_data, target in valset: validate_step(image_data, target, epoch) model.save_weights("./yolov3") model.save("./yolov3") without...
yolov3.py，compute_loss函数中有如下代码 ``` bbox_loss_scale = 2.0 - 1.0 * label_xywh[:, :, :, :, 2:3] * label_xywh[:, :, :, :, 3:4] / (input_size ** 2) giou_loss = respond_bbox * bbox_loss_scale * (1-...
 => STEP 46130 lr: 0.000270 giou_loss: 0.39 conf_loss: 0.02 prob_loss: 0.00 total_loss: 0.41 => STEP 46131 lr: 0.000270 giou_loss: 0.37 conf_loss: 0.01 prob_loss: 0.00 total_loss: 0.38 => STEP...
