Comments (3)
tianzhi0549
commented on July 18, 2024
Thank you for your questions. Because we have released both training and testing code, we suggest that you find the answers of these questions by yourself. We would appreciate it if you report your findings here.
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holyhao
commented on July 18, 2024
@tianzhi0549 Tanks for your reply, since you did not have some expriments results about the above concerns. I will try some expriments. The source code is really helpful and thansk for that. Hope to keep in touch about this.
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tianzhi0549
commented on July 18, 2024
@holyhao OK. Should you have any questions when doing these experiments, please be free to ask us here.
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Related Issues (20)
- Questions about details of inference speed.
- Can I use it on CPU?
- Can we use this FCOS algorithm for counting the objects in images??
- May I ask you for a train log file?
- Which is the accuracy index in the paper？
- Error pip install git+https://github.com/tianzhi0549/FCOS.git
- use my dataset to train FCOS net，why the loss is nan? HOT 2
- Can’t calculate the Params and FLOPs of Backbone
- Testing with test dataset while training
- ValueError: Unknown CUDA arch (8.6) or GPU not supported HOT 2
- weird time consuming of FCOS head when changing the backbone
- Problem with the last line of Testing-only installation HOT 1
- Deepcopy returns TypeError: 'int' object is not callable HOT 1
- assert len(proposal_losses) == 1 and proposal_losses["zero"] == 0 # loss_dict should be empty dict
- tools/train_net.py FAILED HOT 1
- Convert onnx
- Segmentation fault (core dumped)
- gempy to load csv data
- ImportError: cannot import name '_C'
- Why regression head wasn't normalized ?
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