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Could you provide the code to generate train_300W_LP.json, val_AFLW2000.json and BIWI_test.json because the names of images are different?
It will be really helpful.
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I'm focusing on the fine-tuning work of img2pose。I refer to the steps you suggested on issues in github to fine tuned based on the model“img2pose_v1.pth”you provided. However，the head pose estimation …
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Hi!
Have you reported thte accuracies of the mbv3 backbone small and large models like with the Resnet backbone somewhere?
Looked @ your Arxiv reports, but could only find the AFLW2000 and BIWI…
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When I install the package: pip install SixDRepNet, it returns
Collecting SixDRepNet
Downloading SixDRepNet-0.1.1.tar.gz (23 kB)
Preparing metadata (setup.py) ... error
error: subprocess-exi…
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Hi,
Thanks for this amazing work. I am really interested in your work. I just want to test your network on the 2 test dataset (AFLW2000 and BIWI).
I am wondering that why you provide two .pth files…
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我在尝试使用BIWI和AFLW数据集按照此提出的代码进行训练时，需要提取bbox文件，但是下载的数据集没有，想请问是怎么把它转换为类似300W_LP或者AFLW2000数据集那样可以直接采用此代码调用。盼回复，谢谢。
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As your paper declares, for face pose evaluation, you fine-tune the model on 300W-LP dataset. However, I cannot find the corresponding code in your repository, did I miss it?
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Hi, when I try to run python benchmark.py -w pretrained/best.pth.tar, I encounter such an error:
```
(SynergyNet) heyuan@VIML4:~/Research/3d_face/SynergyNet$ python benchmark.py -w pretrained/best…
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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…
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Hi! Thanks for your great job!
I want to get 3D vertices results of AFLW2000-3D with your project, and I find there is no test file and your trained weights file. Maybe I got something wrong? If no…