Section outline
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Students mustMark as done
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Students mustMark as done
A full Face Analysis workshop in Python covers the following topic: - Create full web app from scratch using Gradio UI in Python - Processing Webcam input as Image and Video - Create Face Orientation on Face (Image/Video/Webcam) - Apply FaceDetect Algorithm - Apply FaceMesh (Image and Video) - Deploy full application to Hugging Face Space
https://github.com/prodramp/DeepWorks/tree/main/FaceProcessingWebcam
git clone https://github.com/prodramp/DeepWorks.git
cd DeepWorks/FaceProcessingWebcam/FaceAnalysisWebApp
conda create -n opencv_gradio python=3.8
conda activate opencv_gradio
pip install -r requirements.txt
建议所有环境配置问题直接问chatgpt比在网上找帖子排错高效。
然后继续在 PyCharm 中添加刚刚成功的Conda 环境opencv_gradio。
程序中不同版本gradio调用摄像头函数参数可能不同
如果安装的是gradio 4.39.0 原来程序的需要改为
webcam_image_in = gr.Image(label="Webcam Image Input")
webcam_video_in = gr.Video(label="Webcam Video Input")requirements.txt 需要改为旧版mediapipe
mediapipe==0.10.10
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Students mustMark as done
https://classroom.github.com/a/ZEZxzkh6
修改gradio窗口布局，完成全部作业后发布公网链接让朋友试用。
https://docs.opencv.org/4.x/dc/d2c/tutorial_real_time_pose.html 参考上面链接，修改代码。实现gdut校徽，贴人头上。有AR透视变换（同态映射）变换效果。
增加一个模型 Torchlm人脸检测库 :https://github.com/DefTruth/torchlm 新建一个tab： “models comparison”页。 要求UI为4窗口：1原图视频，1个原视频上叠加mediapipe(或Dlib)68点， 1个叠加Torchlm 68点， 1个叠加2个模型的对应点连线（线的长度反应了2个模型的定位差异）
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MoML: Online Meta Adaptation for 3D Human Motion Prediction https://openaccess.thecvf.com/content/CVPR2024/html/Sun_MoML_Online_Meta_Adaptation_for_3D_Human_Motion_Prediction_CVPR_2024_paper.html HeadGaS: Real-Time Animatable Head Avatars via 3D Gaussian Splatting https://arxiv.org/abs/2312.02902 GaussianEditor:Swift And Controllable 3D Editing With Gaussian Splatting https://openaccess.thecvf.com/content/CVPR2024/papers/Chen_GaussianEditor_Swift_and_Controllable_3D_Editing_with_Gaussian_Splatting_CVPR_2024_paper.pdf https://buaacyw.github.io/gaussian-editor