Comments (1)
Havn't tested it yet. My own mAP on all wider face validation set is 0.7 mAP as said in README.md.
One of the trainer reached 0.78mAP on hard and 0.83mAP on easy using this code.
from sfd.pytorch.
Related Issues (20)
- dataset adapter HOT 3
- 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
- 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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from sfd.pytorch.