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Same question,one polygon seems unable to cover these situations: ![00000](https://user-images.githubusercontent.com/20749514/117600755-2682c780-b17f-11eb-8d20-2bb4bb23a546.png) ![00020](https://user-images.githubusercontent.com/20749514/117600764-28e52180-b17f-11eb-9339-9f393e8ad32e.png)

How to get 3d landmarks indies with respect to 2D landmark (106 landmarks, or 1000 predefined 2D landmarks) ?

这类FOMM方法好像不太好解决这个问题,要么像作者提到的:1、做人脸融合,2、局部区域生成(比如只生成嘴巴区域,然后后处理融合回原图),3、或者扩大生成区域,不融合回原图。难,我也遇到了:https://github.com/NetEase-GameAI/Face2FaceRHO/issues/25

https://github.com/daikankan/MTCNN_face_detection_alignment

dynamic_lmk_faces_idx is selected by pose as follows, right ? ![dynamic_index](https://github.com/radekd91/emoca/assets/20749514/bed20a89-d471-4823-ba56-39fbefab3bd5)

Hi, @cdicle I'm also trying the training process of mtcnn, I guess there are many details and tricks that I don't know, expecially for landmark localization regression in multi-task training,...

any update? I use pytorch_1.13.1, convert pytorch model to onnx use torch.onnx.export(opset_version=16), then convert onnx model to tensorrt-8.6.1.6, and get error: Error[3]: [network.cpp::addGridSample::1537] Error Code 3: API Usage Error (Parameter...

Me too, my question is how to implement nms when batch_size > 1 using tensorflow, tf.image.non_max_suppression seems can't.

@agupta54 just opencv: circle rectangle and puttext