Yin Guobing

Before training, make sure the network's inputs and outputs shape are compatible with the new dataset.

I have no experiences in this kind of project but, you might want to checkout this post: https://medium.com/neuromation-blog/neuronuggets-understanding-human-poses-in-real-time-b73cb74b3818

I guess this training process is similar to body key points detection, and this repo do not support that kind of training. The training images in this repo contains only...

Exactly! You can find some details in the preprocessing module: https://github.com/yinguobing/facial-landmark-detection-hrnet/blob/master/preprocessing.py

百度云盘的两个链接一个是checkpoint，一个是SavedModel。你用的是哪一个呀？

可以列出pb文件的完整路径吗？有可能是路径的问题。

GitHub上下载的代码先不做任何改动。留意这行代码： ```python model = tf.keras.models.load_model("./exported/hrnetv2") ``` 其中暗含了SavedModel应该存放的位置。你可以把这里的相对路径改为你计算机上的绝对路径。 我留意到你使用的应该是Windows操作系统，注意它的路径表述与Linux不同。所以你可能还需要把检测器加载的文件路径也检查一下： ```python detector_face = Detector('assets/face_model/saved_model.pb') ```

客气了。有时间的话可以学习一下Git，这样遇到的问题会少很多。

@anil-bit Please download the checkpoint file from GoogleDrive.

> 谢谢你 😃