SteveIb

Hi @dragen1860 how it is gonna keep the image aspect while it is resized to 513 by 513?

I'm not sure how I solved it, I think it was something related to paths or slash. something like that. Good luck!

I did using this file as written in readme file

Sorry I closed it by mistake

I run it using your code totalMemory: 11.91GiB freeMemory: 11.59GiB 2018-09-24 09:52:32.242241: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1120] Creating TensorFlow device (/device:GPU:0) -> (device: 0, name: TITAN X (Pascal), pci bus id: 0000:01:00.0, compute...

my config file: { "model" : { "backend": "Full Yolo", "input_size_w": 68, "input_size_h": 68, "gray_mode": false, "anchors": [0.8223, 0.8223, 1.87446, 2.06253, 3.33843, 5.47434, 7.88282, 3.52778, 9.77052, 9.16828], "max_box_per_image": 10, "labels":...

I have tried with CustomObjectScope({'relu6': keras.layers.ReLU(6.),'DepthwiseConv2D': keras.layers.DepthwiseConv2D}): model = load_model('****.hdf5') but I got the following error: ValueError: axes don't match array my TF is 1.11 my keras is 2.2.4, python...

My images are too large, something like 8000 * 1500. I tried to change the screen resolution .. but the same. Im using Ubuntu 16.4

I will lose the information in the image. Do you think adding scrollbar to the image panel wont effect the output file? I mean the generated coordinates of the objects...

Write a small python script to make sure that you can read the image using cv2.imread(). I had issue reading the image since it was a bmp file, and there...