Comments (2)
ItzDerock
commented on June 5, 2024
I was running into this issue too,
Looks like an issue with compatibility with torch 1.12 (see this yolov5 issue)
If you are able to, downgrading to torch==1.11 or in some cases, torch==1.7.0 should fix this issue.
I wasn't able to downgrade since the older torch version didn't support my graphics card.
If this is the case for you, take a look at my fork which resolves this issue.
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S-Gaurisankar
commented on June 5, 2024
This might be a bit too late but if you're perhaps working on this by any chance, do refer to this:
[https://github.com/S-Gaurisankar/yolor_fixed/tree/paper]. I've fixed the runtime issues.
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Related Issues (20)
- Pickling error - _pickle.UnpicklingError: invalid load key, '<'. HOT 4
- rm: cannot remove './cookie': No such file or directory HOT 1
- Traceback (most recent call last): File "train.py", line 506, in <module> opt.data, opt.cfg, opt.hyp = check_file(opt.data), check_file(opt.cfg), check_file(opt.hyp) # check files File "/content/yolor/utils/general.py", line 74, in check_file assert len(files) == 1, "Multiple files match '%s', specify exact path: %s" % (file, files) # assert unique AssertionError: Multiple files match '../Rdata.yaml', specify exact path: ['./mish-cuda/../Rdata.yaml', './darknet/../Rdata.yaml', './scripts/../Rdata.yaml', './figure/../Rdata.yaml', './valid/../Rdata.yaml', './test/../Rdata.yaml', './data/../Rdata.yaml', './pytorch_wavelets/../Rdata.yaml', './models/../Rdata.yaml', './cfg/../Rdata.yaml', './train/../Rdata.yaml', './__pycache__/../Rdata.yaml', './inference/../Rdata.yaml', './utils/../Rdata.yaml']
- AssertionError: > 5 label columns:
- Issue with using W & B HOT 1
- what should be the ideal mAP0.95 should be? HOT 2
- Custom Dataset Finetuning training and Targets value is not real
- how do I integrate my custom Yolor model with flask
- Bounding box size is off HOT 2
- Inference result blank for both branches HOT 1
- YoloR-CSP Test with yolor-csp.cfg not working
- RuntimeError: indices should be either on cpu or on the same device as the indexed tensor (cpu) HOT 1
- Question: what is the function of pretrained weight
- Can model be defined by nn.Sequential or does it need to use nn.ModuleList HOT 5
- pretrained weights are offline HOT 4
- YOLOR-CSP Weights Link/Download HOT 3
- metrics are zero during training
- YoloR_w6.pt does not open
- Problem on running detect.py on Jetson B01
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