Comments (8)
@kartynnik
Thank you for sharing. I'm still looking for ways to implement Python
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The 3D face model is significantly more difficult than the facedetector_front.tflite we have in the model folder. We recommend that you read the publication for Face Mesh
What is the use case you are looking at for 3D face detection?
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@mgyong
Sorry, maybe the meaning of the expression is wrong. I actually want to use the model you provided to do face detection. I want to get the following detection effect:
But I don't know how to use your model and build prediction code. Can you help me?
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@zhouhao-learning Have you gone through the Face detection for Android running GPU example?
If you have issues with understanding some of the Android APIs for MediaPipe, you can start with simpler example
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No, I didn't run the Face detection for Android running GPU example. I don't want to run on Android right now. I just want to write a predictive code that can achieve the face alignment effect, but I don't know how to build the prediction code. Can you help me? Thank you.
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@zhouhao-learning This 3D face mesh issue is out of scope for project currently
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@mgyong
No, if it is beyond the scope of the project, how do you achieve the following effects?
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@zhouhao-learning If you are interested in getting the effects by any means, you might find it useful to know that this 3D face mesh technology is exposed via the Augmented Faces API in ARCore.
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Related Issues (20)
- Compile issue HOT 5
- Attribute Error in vision.ObjectDetector HOT 6
- The multi-class selfie segmenter does not run in GPU delegate mode on the Android Chrome browser. HOT 1
- The multi-class selfie segmenter does not run in GPU delegate mode on the Android Chrome browser. HOT 2
- Pose landmarker detect_for_video runs extremly slow
- MediaPipe WebApp using WASM HOT 2
- Issue with WebAssembly LinkError after updating @mediapipe/tasks-vision package to 0.10.10 HOT 4
- Presence/Visibility Scores Remain at 0.99 even for joints not visible HOT 2
- libprotobuf repeated_field.h CHECK failed: (total_size_) > (0) trying to extract multi_palm_detections proto
- Measure degree hip rotation HOT 1
- Trouble creating example Xcode project (Cannot install Tulsi.app) HOT 3
- Need official proguard-rules.pro file for release build in Android HOT 5
- issue with draw_landmarks() function defined in mp.solutions.drawing_utils HOT 4
- can't run Pose Landmarks Detection with MediaPipe Tasks HOT 5
- When object whose position is being detected moves out of the frame then results.multi_hand_landmarks[0] becomes a NULL type object (NOT ACTUALLY SURE THAT IS IT A VALID BUG OR NOT) HOT 1
- libllm_inference_engine_jni.so not found HOT 2
- Packet timestamp mismatch
- Application crash only when AppBundled on the Google Play Store HOT 3
- FaceLandmarker's iris landmarks are worse compared to FaceMesh(refine_landmarks=True) HOT 3
- Build "libllm_inference_engine_jni.so" error! HOT 9
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