Comments (5)
yhenon
commented on August 22, 2024
I've only really tested with 0.4. I'm planning on updating for pytorch 1.0
when possible.
…On Tue, Sep 4, 2018, 8:45 PM Ben Johnson ***@***.***> wrote:
Which version of pytorch is this intended to be used with? Thanks!
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daniel-merrick
commented on August 22, 2024
The below configurations work for me:
torch==0.4.1
torchvision==0.1.6
python==2.7.6
Doesn't work with 0.4.0 and there are certain configurations of torchvision that won't work with torch==0.4.1
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Wuziyi616
commented on August 22, 2024
I tried with pytorch 1.0.1 but it didn't work because I can't compile the nms module. Besides, I borrow the nms code from another project and it works fine for me.
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gunshi
commented on August 22, 2024
@Wuziyi616 which nms implementation did you borrow and could you point me to it? I'm facing a similar issue
Thanks!
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Wuziyi616
commented on August 22, 2024
@gunshi Hi! I borrow a cpu version of nms from https://github.com/kuangliu/pytorch-retinanet/blob/master/utils.py, starting from line 149.
Also, I've just noticed that the newest release of torchvision has already implemented nms on GPU! Maybe you can also refer to that!
Best wishes!
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Related Issues (20)
- Loss curve
- How to specify GPU card number for training
- mAP Problem/question
- Question about NMS step in inference phase? HOT 1
- Question about input size HOT 1
- Possible discrepancy in FocalLoss calculation HOT 2
- Yolo format HOT 1
- multi-GPU training
- evaluate question
- Training Issue HOT 3
- Is batch testing possible? HOT 1
- Save module every time?
- Failure to switch to ONNX HOT 1
- IndexError: index -1 is out of bounds for axis 0 with size 0 HOT 3
- Early Stopping
- Alternative dataset
- i can't find the CSVGenerator,could you please tell me where is it? thank you
- Why is AP so low?（No changes were made. ）
- Can we enhance retinanet model??
- Is there any training logs?
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