68-Retinaface-Pytorch-version
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ElvishElvis
Working on 68/96 landmarks detection with RetinaFace with MobileNet 0.25
Bumps [numpy](https://github.com/numpy/numpy) from 1.16.4 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...
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Bumps [pillow](https://github.com/python-pillow/Pillow) from 6.2.0 to 9.0.1. Release notes Sourced from pillow's releases. 9.0.1 https://pillow.readthedocs.io/en/stable/releasenotes/9.0.1.html Changes In show_file, use os.remove to remove temporary images. CVE-2022-24303 #6010 [@radarhere, @hugovk] Restrict builtins within...
RuntimeError: Input type (torch.FloatTensor) and weight type (torch.cuda.FloatTensor) should be the same
Bumps [opencv-python](https://github.com/skvark/opencv-python) from 4.1.0.25 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...
hi. Thanks for sharing such a nice code. When I tried your code, I found in losses.py, there are two lines to add lip weighted when compute landmarks loss, but...
I use LS3D-W dataset , when I training, the loss is lower .. expamle: total_loss : 1.1131469011306763 classification: 0.70500928 bbox: 0.07543718814849854 landmark: 0.6654008626937866 . Check whether the fault is rectified.
i want to know the input size ，now i have a task that very urgent
Hello, ElvishElvis. Thank you for your great work! I change the backbone to mobilenet_v3 and regnet, and use the LS3D-W dataset as my training dataset. But the landmark branch loss...
Bumps [pillow](https://github.com/python-pillow/Pillow) from 6.2.0 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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Working on 68/96 landmarks detection with RetinaFace with MobileNet 0.25