pytorch-yolo-v3
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ayooshkathuria
A PyTorch implementation of the YOLO v3 object detection algorithm
Why can you use your code to perform detection in the official weight file, while running the weight file that I trained myself can not detect it?
Hello, the model I trained with Darknet can't detect objects when running on your code. But the weight file given by official Darknet can be detected. What's the reason?
Hi, Thank you for your work. It is really easier to use pytorch instead of darknet. Nevertheless, I have tried to run the command on a folder with thousands of...
thank you for releasing this repo. can use this code with yolov3-openimages.weights (available here - wget https://pjreddie.com/media/files/yolov3-openimages.weights)? what would be the changes that I would need to make? thanks,
Using another variable name since the value of x gets changed(to 8) when used in the list comprehension and loses the block data.
You mentioned in your blog we can't concatenate the first yolo layer detections to an empty tensor, but I think we actually can. This simplifies your code a bit. Also,...
Thanks a million for your blogs! Im currently going through the entire setup and loving it :D I thought I'd give back a bit by (starting with) this simplification. Correct...
Traceback (most recent call last): File "D:/deep_learn/pytorch-yolo-v3-master/pytorch-yolo-v3-master/video_demo_half.py", line 100, in model.load_weights(args.weightsfile) File "D:\deep_learn\pytorch-yolo-v3-master\pytorch-yolo-v3-master\darknet.py", line 367, in load_weights fp = open(weightfile, "rb") FileNotFoundError: [Errno 2] No such file or directory: 'yolov3.weights'
Hi In the line 302, det_names = pd.Series(imlist).apply(lambda x: "{}/det_{}".format(args.det,x.split("/")[-1])) this can be problem. In my case, it doesn't split path, because of "/". but i works well by changing...
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A PyTorch implementation of the YOLO v3 object detection algorithm