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腾讯优图高精度双分支人脸检测器

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Hi, I tried to use 8G 2080-ti to evaluate your 152-resnet model, but the memory is not enough. Could you tell the minimum Memory to run your test code?

the warning is as follows: /home/anke/.conda/envs/dsfd/lib/python3.6/site-packages/torch/cuda/__init__.py:95: UserWarning: Found GPU0 GeForce RTX 2080 Ti which requires CUDA_VERSION >= 9000 for optimal performance and fast startup time, but your PyTorch was compiled...

Thank you for the contribution to the project, I have successfully run and test one iamge,and I want to know Is it possible to input video.

Hello~,Thanks for your work! when I run demo.py I meet an error: ``` loading pretrained resnet model Finished loading model! Error bbox number to filter : 0, bbox number: 0...

Here's an article I wrote that shows how to get the demo working on [Windows](https://medium.com/ai-in-plain-english/how-to-implement-the-dual-shot-face-detector-dsfd-demo-on-windows-8245308a65be), [Mac](https://medium.com/macoclock/how-to-implement-the-dual-shot-face-detector-dsfd-demo-on-macos-706dde217ead), and [Linux](https://thealtruist.medium.com/how-to-achieve-over-90-accuracy-with-dual-shot-face-detector-dsfd-in-wsl2-9c9fefb3f863)

Hi, Do you have any plan to release the Res50-based DSFD pretrained model that has 22 fps as mentioned in the paper? Many thanks

HI, I got this error: pytorch==1.4.0 torchvision==0.2.1 loading pretrained resnet model Finished loading model! demo.py:94: UserWarning: volatile was removed and now has no effect. Use `with torch.no_grad():` instead. x =...

Hi Team, I tried to follow your doc: https://github.com/Tencent/FaceDetection-DSFD and when i run demo.py and got the following error: Traceback (most recent call last): File "demo.py", line 27, in from...