Question about 300W-LP labels acquirements about img2pose HOT 6 CLOSED

have u ever found the prediction result x,y,z an error (especially z when i use my webcam to detect)?

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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)?

@eugeneYz

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.

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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 .json format). Then I use the convert_json_list_to_lmdb.py to convert them into a lmdb file and use it for training.

But the evaluation performance on AFLW2000 is not boosted at all.

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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.

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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?

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We used the provided landmarks to get a bounding box. You can use this function to get a bbox using landmarks.

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