Comments (3)
ahkarami
commented on August 17, 2024
2
@louis-she,
Thank you for your response.
Please note that about training on VOC dataset in this state, I think because the aspect_ratio is 1:1 and data augmentation methods don't implement yet, so the obtained result maybe will not be good.
I'll try to help you in near future (I try to find free time for it) via some pull requests, to further strengthen your codes.
Good luck
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louis-she
commented on August 17, 2024
1
Thank you @ahkarami really looking forward to your PR : )
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louis-she
commented on August 17, 2024
Hi @ahkarami ,
The coordinates have been converted to top left bottom right at here.
And a more flexible and general Dataset class is considered. We already supported VOC dataset and now we're training on it. If it works, we will refactor dataset.py to adapt for other dataset too.
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Related Issues (20)
- Scoring mechanism. HOT 2
- some missing attributes in config.py HOT 13
- Error while testing the detector HOT 3
- About the running platform HOT 1
- Max-out classification in conv3-3 prediction layers? HOT 1
- What is your result tested on wider face? HOT 1
- Does this use nms during testing? I do not find nms part. HOT 1
- train on multiple gpus HOT 3
- RuntimeError: arguments are located on different GPUs at /opt/conda/conda-bld/pytorch_1532581333611/work/aten/src/THC/generated/../generic/THCTensorMathPointwise.cu:314 HOT 1
- about anchor HOT 1
- about tiny face HOT 1
- about scale compensation anchor matching strategy HOT 1
- about bbox regression HOT 1
- about loss implementation HOT 6
- hello,what's your inference's time cost ?
- quesions about mark_anchors in anchor.py
- import error：cannot import name 'cfg' HOT 1
- about ‘maxout ’
- fps HOT 1
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