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Dear authors, thank you for sharing your valuable work. I was trying to generate the results like table 3 of the paper using the script GIF/tests/deca_inf_vs_given_cond_landmark_viz.py. Here, I could …
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Add the ability to load offline models, so that users can still run their projects with spotty Internet / from places of the world where access to online models is restricted, i.e. China.
See prior…
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Thank you for your open source evaluation code directly on 3D mesh evaluation.
When I read the code, I found that except for vertices and faces that are commonly stored in mesh obj files, a new file …
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We trained a model on LFPW dataset with 68 landmark points. We used 1300 images for training and provided the bounding box according to the viola jones face detector as given in opencv. It took about …
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Hi Tadas,
For my application I need to fit a 3D object to the head and for that I need to compute the center of the head (not the center of the face). To do so, I thought of using the 3D landmarks…
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I am trying to use the mediapipe package in the python runtime of cloud function's gen1. However, when I execute a function from the mediapipe package, the process hangs there. The process does not st…
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Hi,
First of all thanks for such power full face detection algorithm.
How can I a get a score for detected face confidence ?
And is there any way to get whether landmark visible or not ?
…
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Thanks for your greate work.
The result you showed in README has irises. But I found `faces` list in demo.py is 468 landmarks. How can I get 478 points with irises?
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https://github.com/IDEA-Research/X-Pose/blob/master/util/config.py
```
model_config_path C:\tut\LivePortrait\src\config\../utils/dependencies/XPose/config_model/UniPose_SwinT.py
model_checkpoint…
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Thanks for your great work. I notice that the synthetics dataset that your train the face alignment model has 70 landmark but the ResNet50d model only outputs 68 of them, missing the 2 pupil centers. …