MOS-Multi-Task-Face-Detect
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Code for BMVC2021 "MOS: A Low Latency and Lightweight Framework for Face Detection, Landmark Localization, and Head Pose Estimation"
TensorRT implementation ?
I let device = torch.device('cpu') in detect_video.py, then the speed drop dramatically from 60fps to 2fps.
Thanks again for your work. Can you please provide the training details of the the MOS-S-300wlp model? How did you define the supervision, and what are your training settings?
Thanks again for your work. Since you use flip and multi-scale strategy in testing, I wonder how your model performs when these test tricks are not applied. I ask this...
论文中说以半监督的形式标注了不小于 35×35 像素的人脸,但是我发现公开的数据集中小于 35×35 像素的人脸也有姿态信息,请问这些姿态信息可靠吗?
Hi expert, I try to verify histogram with your "label.txt" on Figure 3(b) but I found large difference between Figure 3(b) and label.txt. The following statistics from "label.txt": data size:...
thanks for your great work.but i did not find some code for train. Do you plan to open the train code?
I have a question about ONNX format. Can you convert MOS.pth to MOS.onnx?
It may be a DCNv2 error, i use cuda10.1