Seerequirements.txt, tested on macOS and Linux platforms. The Windows users may refer toFQAfor building issues. Note that this repo uses Python3. The major dependencies are PyTorch, numpy, opencv-python and onnxruntime, etc. If you run the demos with--onnxflag to do acceleration, you may...
Seerequirements.txt, tested on macOS and Linux platforms. The Windows users may refer toFQAfor building issues. Note that this repo uses Python3. The major dependencies are PyTorch, numpy, opencv-python and onnxruntime, etc. If you run the demos with--onnxflag to do acceleration, you may...
Windows,ANDROID,macos,iOS 颜色分类 FL980V2黑曜石-定制【深海PLUS】,FL980V2白透-定制【青橙侧刻】,FL980V2黑曜石-定制【豆沙PlUS】,FL980V2黑曜石-定制【紫气东来】,FL980V2白透-定制【腮红侧】,FL980V2黑曜石-定制【深海下蓝】,FL980V2白透-定制【薄荷侧】,FL980V2白透-定制【雾蓝侧】,FL980V2黑...
GCC 6.0+ bash build_render.sh (谨慎)对于Windows用户,请参考以获取更多详细信息。 3D人脸地标 在这个项目中,我们通过3DMM参数回归进行密集人脸重建。 回归目标简化为相机矩阵( C ,形状为3x4),外观参数( S ,形状为1x40)和表达变量( E ,形状为1x10),共有62个维度。 可以通过将这些参数应用于预定义的点...
3D dense face alignment(3DDFA) is a trending technique for many face tasks, For example, recognition, animation, tracking, image restoration.
Seerequirements.txt, tested on macOS and Linux platforms. The Windows users may refer toFQAfor building issues. Note that this repo uses Python3. The major dependencies are PyTorch, numpy, opencv-python and onnxruntime, etc. If you run the demos with--onnxflag to do acceleration, you may...
The Windows users may refer to FQA for building issues. Note that this repo uses Python3. The major dependencies are PyTorch, numpy, opencv-python and onnxruntime, etc. If you run the demos with --onnx flag to do acceleration, you may need to install libomp first, i.e., brew ...
The Windows users may refer to FQA for building issues. Note that this repo uses Python3. The major dependencies are PyTorch, numpy, opencv-python and onnxruntime, etc. If you run the demos with --onnx flag to do acceleration, you may need to install libomp first, i.e., brew ...
The Windows users may refer to FQA for building issues. Note that this repo uses Python3. The major dependencies are PyTorch, numpy, opencv-python and onnxruntime, etc. If you run the demos with --onnx flag to do acceleration, you may need to install libomp first, i.e., brew ...
The Windows users may refer to FQA for building issues. Note that this repo uses Python3. The major dependencies are PyTorch, numpy, opencv-python and onnxruntime, etc. If you run the demos with --onnx flag to do acceleration, you may need to install libomp first, i.e., brew ...