Comments (3)
I see the parameter 'color_jitter' for data augmentation, it is not used. correct?
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It will end at epoch-80.
Softmax already did per-instance normalization.
Fixed parameters are correct.
Color_jitter is required.
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@nttstar Thanks for your reply. This information is important to me. Thanks. Other questions:
- I found that the program runs fast. And when I run the code with not good cpu and gpu, the gpu utility is always near to 100%. It is very good, can you explain it?
- Did you use focal loss to train the wider face? How is the result?
This is an excellent work, thank you very much.
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Related Issues (20)
- The image size is 640x640 or shorter side is 1200, long side is less than 1600? HOT 4
- Do you evaluated on FDDB,the result is bad
- training speed HOT 1
- What is the role of BBOX_MASK_THRESH?
- CPU HOT 1
- TesnortRT SSH
- Please test this image, gauranteed not working
- cudaMalloc failed: out of memory HOT 9
- "model/e2e-symbol.json": No such file or directory
- about c++ load the sniper model
- C++ implement HOT 1
- No module named 'rcnn.cython.bbox' and 'rcnn.cython.anchors'
- SSH for multi class classification
- Unstable test time? HOT 1
- don't understand HOT 1
- Can you publish you training information?
- pretrained model requirst!!! HOT 2
- testing code does not work, the results are not correct, mAP values are easy 0.125, medium 0.134, hard 0.156 HOT 1
- AttributeError: 'dict' object has no attribute 'iteritems' HOT 2
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