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A PyTorch implementation of the YOLO v3 object detection algorithm

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Traceback (most recent call last): File "/home/zxl/PycharmProjects/wjchaoGit/pytorch-yolo-v3-master(usbcam)/pytorch-yolo-v3-master/cam_demo.py", line 151, in list(map(lambda x: write(x, orig_im), output)) File "/home/zxl/PycharmProjects/wjchaoGit/pytorch-yolo-v3-master(usbcam)/pytorch-yolo-v3-master/cam_demo.py", line 151, in list(map(lambda x: write(x, orig_im), output)) File "/home/zxl/PycharmProjects/wjchaoGit/pytorch-yolo-v3-master(usbcam)/pytorch-yolo-v3-master/cam_demo.py", line 49, in...

https://github.com/ayooshkathuria/pytorch-yolo-v3/blob/fbb4ef98d5a598f4c8eded6d618a599b7d289e2f/util.py#L32 I have a question since yolov3 has anchors for all three different scales. (as they mentioned in paper). Why again we need to down sample the anchors for each...

File "detect.py", line 234, in output = torch.cat((output,prediction)) RuntimeError: invalid argument 0: Sizes of tensors must match except in dimension 0. Got 8 and 86 in dimension 1 at C:\w\1\s\windows\pytorch\aten\src\TH/generic/THTensor.cpp:689...

when running an avi file, what output will the yolo have? I do not see any output file. Thanks Matt

Hi,I`m try to use your code to run the video ,my video name is chicken.avi.But when I code python video_demo.py --video chicken.avi,the result is Traceback (most recent call last): File...

why do the model have this two parameter ? https://github.com/ayooshkathuria/pytorch-yolo-v3/blob/fbb4ef98d5a598f4c8eded6d618a599b7d289e2f/detect.py#L177 In addition,why do the `get_test_input` function imread dog-cycle-car.png although for different test images? ```python def get_test_input(input_dim, CUDA): img = cv2.imread("dog-cycle-car.png")...

How do we train in the repo? I have tried ultralytics yolov3 to train but not successful. can I know how to train, since I want to use DroNet cfg...

Hi, I'm trying to use your code to do some detection work. I'm successful while using yolov3.cfg and yolov3.weights. But when I change this cfg file and weights to my...