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So, I am using the TensorFlow face_landmarks_detection model with tfjs from this [link](https://www.npmjs.com/package/@tensorflow-models/face-landmarks-detection/v/0.0.3). My use case is to effectivel…
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Build out the first feature (tests then feature)
**User story**: User is able to move their hand in front of the webcam, to see the controller move on the screen.
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### Describe the bug
Hi, all the models in adetailer work fine except for the 4 mediapipes (mediapipe_face_full; mediapipe_face_short; mediapipe_face_mesh; mediapipe_facemesh_eyes_only). None of them…
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Hi,
Using vuejs3+vite+ts I am getting this error `Uncaught (in promise) TypeError: jle.SelfieSegmentation is not a constructor`
 Running mediapipe in python, for example the Facemesh, Holistic, Iris and Object Detection solutions will be more efficient, in terms of both speed and performance on GPU or CPU (in fair …
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I tried two methods to detect face landmarkers, but got different results. Would you please check this issue?
Method 1:
```python
face_mesh = mp.solutions.face_mesh.FaceMesh(
max_num_faces=1…
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I could not find the issue section in tfjs-models, so I am posting my issue here:-
**System information**
- OS Platform and Distribution (e.g., Linux Ubuntu 20.04)
- Mobile device (e.g. iPhone 8,…
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I have a piece of footage with one face, it's not occluded, it's very clearly in frame. Even if I set my confidence threshold really low on mediapipe_utils.py, it gives me No Face Detected, or put the…
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I want to use Mediapipe Iris tracking, but I have a different method to crop out the area around the eye. In the documentation of Mediapipe Iris, it says that the position around the eye is cropped …
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# Description
Much like #1174 and #1232 adding pose landmark support, we'd also like to add face detection support to the `from_mediapipe` method.
* Add `Skeleton.FACEMESH_TESSELETION` of size `…