• 项目应用场景
  • 可以应用于人脸面部三维特征点的提取 + 人脸面部的三维重建，项目的特点是基于 Pytorch 实现、快速、准确、稳定

• 项目效果：

• 项目流程 ==> 具体参见项目内README.md

        (1) 构建

sh ./build.sh

        (2) 执行示例        

# 1. running on still image, the options include: 2d_sparse, 2d_dense, 3d, depth, pncc, pose, uv_tex, ply, obj
python3 demo.py -f examples/inputs/emma.jpg --onnx # -o [2d_sparse, 2d_dense, 3d, depth, pncc, pose, uv_tex, ply, obj]# 2. running on videos
python3 demo_video.py -f examples/inputs/videos/214.avi --onnx# 3. running on videos smoothly by looking ahead by `n_next` frames
python3 demo_video_smooth.py -f examples/inputs/videos/214.avi --onnx# 4. running on webcam
python3 demo_webcam_smooth.py --onnx

• 项目获取
  • https://download.csdn.net/download/weixin_42405819/89039942