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Question about 300W-LP labels acquirements #61
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have u ever found the prediction result x,y,z an error (especially z when i use my webcam to detect)? |
What is the model you are using? Are you using the fine-tuned model? By the way, the question you asked is not related to the topic at all. You can ask @vitoralbiero in a new issue. |
Hi, @vitoralbiero , why don't you release the 300W-LP annotations? This makes me feel strange. Is this because of the copyright? I use InsightFace to detect the faces and the corresponding landmarks (3D, 68 points) for each image in 300W-LP, only one face closest to the center of the image would be saved as the ground truth (with But the evaluation performance on AFLW2000 is not boosted at all. |
Hello @FunkyKoki, I don't have time right now to release the annotations. But we may do so in the future. 300W-LP comes with Euler angles and landmarks, so we converted the provided Euler angles to get rotation vectors, and used the landmarks to get translation vectors. To fine-tune on 300W-LP, please follow section 4.1 of our paper, which describes the training and fine-tuning steps. Hope this helps. |
Hi there, thanks for your answer, but I still cannot figure out how did you define the ground truth face bounding box for each image? |
We used the provided landmarks to get a bounding box. You can use this function to get a bbox using landmarks. |
Thanks for your work and help. Now I have got a lite-weight model using MobileNetV3-small as backbone. This lite-weight model can achieve the same pose evaluation performance on AFLW2000 as your model (both without fine-tuning on 300W-LP).
Now I am focused on fine-tuning. In your paper, you said:
I open this issue to confirm several things, and I will be very grateful if you can help.
Here are my questions:
self.threed_68_points
in the code here to generate the lmdb file?That's all. Thank you so much.
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