I am training my object detection model on yolov3, consist of 6 classes I have cloned all the files properly step by step and many times. But during training, I am getting this kind of error, and also a bad.list file is created in my main directory during training. I am unable to identify the main problem.
Errors:
08 x 608 Create 64 permanent cpu-threads Cannot load image "custom_data/183.jpeg" STB Reason: bad req_comp Cannot load image "custom_data/1373.jpeg" STB Reason: bad req_comp Cannot load image "custom_data/182.jpeg" STB Reason: bad req_comp Cannot load image "custom_data/851.jpeg" STB Reason: bad req_comp Cannot load image "custom_data/905.jpeg" STB Reason: bad req_comp Cannot load image "custom_data/1693.jpeg" STB Reason: bad req_comp Cannot load image "custom_data/333.jpeg" STB Reason: bad req_comp Cannot load image "custom_data/1743.jpeg" STB Reason: bad req_comp Cannot load image "custom_data/690.jpeg" STB Reason: bad req_comp Cannot load image "custom_data/766.jpeg" STB Reason: bad req_comp Cannot load image "custom_data/909.jpeg" STB Reason: bad req_comp
total_bbox = 7, rewritten_bbox = 0.000000 % v3 (mse loss, Normalizer: (iou: 0.75, obj: 1.00, cls: 1.00) Region 82 Avg (IOU: 0.000000), count: 2, class_loss = -nan, iou_loss = -nan, total_loss = -nan v3 (mse loss, Normalizer: (iou: 0.75, obj: 1.00, cls: 1.00) Region 94 Avg (IOU: 0.000000), count: 1, class_loss = -nan, iou_loss = -nan, total_loss = -nan v3 (mse loss, Normalizer: (iou: 0.75, obj: 1.00, cls: 1.00) Region 106 Avg (IOU: 0.000000), count: 1, class_loss = -nan, iou_loss = -nan, total_loss = -nan total_bbox = 9, rewritten_bbox = 0.000000 %
The param "req_comp" defines the number of channels. It seems that you have B&W images and your code expects color images or you have color images and your code expects color images with an alpha channel (RGBA). Or the opposite. For instance JPGs have only three channels while PNGs may have an additional alpha (transparency) channel.
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