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Hello,
I followed the steps provided in the readme. But the resulting weights and config file throw an error when trying to use them in an yolov3 implementation.
Traceback (most recent call last):
File "detect.py", line 48, in <module>
model.load_darknet_weights(opt.weights_path)
File "/home/_/Desktop/PyTorch-YOLOv3/models.py", line 315, in load_darknet_weights
conv_w = torch.from_numpy(weights[ptr : ptr + num_w]).view_as(conv_layer.weight)
RuntimeError: shape '[125, 106, 3, 3]' is invalid for input of size 14720
Anyone has an idea why? I am using a trained model with 25 classes and yolov3-spp i followed the issue on yolov3-tiny to make it working. For the training i used batch=5, subdivisions=10, epoch=1, size=608 and dataset with 300.000 Pictures. Thanks.
The text was updated successfully, but these errors were encountered:
Hello,
I followed the steps provided in the readme. But the resulting weights and config file throw an error when trying to use them in an yolov3 implementation.
Anyone has an idea why? I am using a trained model with 25 classes and yolov3-spp i followed the issue on yolov3-tiny to make it working. For the training i used batch=5, subdivisions=10, epoch=1, size=608 and dataset with 300.000 Pictures. Thanks.
The text was updated successfully, but these errors were encountered: