refinedet.pytorch
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A PyTorch inplementation of RefineDet
why assert all(max_classes[nonzero_inds] != 0) has a assertionerror?
Hi, thank you for your work. I want to train my own data set on this network. There are only a few types and the data format is VOC format....
Bumps [pillow](https://github.com/python-pillow/Pillow) from 7.1.1 to 9.3.0. Release notes Sourced from pillow's releases. 9.3.0 https://pillow.readthedocs.io/en/stable/releasenotes/9.3.0.html Changes Initialize libtiff buffer when saving #6699 [@radarhere] Limit SAMPLESPERPIXEL to avoid runtime DOS #6700 [@wiredfool]...
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Bumps [numpy](https://github.com/numpy/numpy) from 1.15.2 to 1.22.0. Release notes Sourced from numpy's releases. v1.22.0 NumPy 1.22.0 Release Notes NumPy 1.22.0 is a big release featuring the work of 153 contributors spread...
Bumps [ipython](https://github.com/ipython/ipython) from 7.13.0 to 7.16.3. Commits d43c7c7 release 7.16.3 5fa1e40 Merge pull request from GHSA-pq7m-3gw7-gq5x 8df8971 back to dev 9f477b7 release 7.16.2 138f266 bring back release helper from master...
Bumps [opencv-python](https://github.com/skvark/opencv-python) from 4.1.2.30 to 4.2.0.32. Release notes Sourced from opencv-python's releases. 4.2.0.32 opencv-python: https://pypi.org/project/opencv-python/ opencv-contrib-python: https://pypi.org/project/opencv-contrib-python/ opencv-python-headless: https://pypi.org/project/opencv-python-headless/ opencv-contrib-python-headless: https://pypi.org/project/opencv-contrib-python-headless/ OpenCV version 4.2.0. Changes: macOS environment updated from xcode8.3...
when i run the train_refinedet.py, there is a problem: RuntimeError: invalid argument 2: non-empty vector or matrix expected at /pytorch/aten/src/THCUNN/generic/ClassNLLCriterion.cu:31
Hello coder， I'm learning RefineDet architecture these days. After comparing different implements below 1. https://github.com/luuuyi/RefineDet.PyTorch 2. https://github.com/lzx1413/PytorchSSD 3. yours I found there is a different when training the model. That's...
您好，我在实现resnet的refinedet（pytorch）。但是几次迭代后，**ODM模块的loss出现了nan**。我在vgg-refinedet上测试没有这种情况，且性能良好，因此想知道是不是基于resnet的refinedet有什么特殊的地方？（比如vgg中的conv4和conv5中的归一化操作） ``` iter 10/120000 || ARM_L Loss: 3.0050 ARM_C Loss: 13.3785 ODM_L Loss: 3.3522 ODM_C Loss: 4.3170 || iter 20/120000 || ARM_L Loss: 4.4867 ARM_C Loss: 14.0901 ODM_L Loss: 4.0826...
I successfully trained a 512x512 resnet101 detector on coco, using your code, and Torch version 4.1 (python 2.7, cuda 10). It needed a couple of minor changes to the source...
