Closed kimtaehyeong closed 3 years ago
First, thank you for your good research. I have a few questions.
- There are two models, one for finding faces and one for finding landmarks. Is the method correct for finding a face, cropping this found face, and then finding a landmark?
- The face finding model seems to be using the model here 'https://github.com/Linzaer/Ultra-Light-Fast-Generic-Face-Detector-1MB'. Is it correct? Also, is there a custom train method for learning landmarks?
Thank you.
Hi Kim,
Thank you so much for your reply. First, I am learning this part of'https://github.com/Linzaer/Ultra-Light-Fast-Generic-Face-Detector-1MB', so I will try a custom train on the landmark as soon as the learning is finished. Thank you very much. If there is something that doesn't work, I will leave a question again.
Hi. After face detection training is finished, we want to perform landmark detection. If it is not practical, I would like to fine tuning according to my data using a pre-trained model. Can you tell me how to do it?
Thank you.
I have done fine-tuning with the model trained using torch.load. Do you have any code to convert .pth file to onnx file?
Thank you very much.
Solved!! Thanks.
First, thank you for your good research. I have a few questions.
There are two models, one for finding faces and one for finding landmarks. Is the method correct for finding a face, cropping this found face, and then finding a landmark?
The face finding model seems to be using the model here 'https://github.com/Linzaer/Ultra-Light-Fast-Generic-Face-Detector-1MB'. Is it correct? Also, is there a custom train method for learning landmarks?
Thank you.