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| <h1> | |
| Mediapipe Head-Pose Estimation | |
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| <img src="https://akjava.github.io/AIDiagramChatWithVoice-FaceCharacter/webp/128/00031245_08_00006200.webp" alt="Mediapipe Face Detection" class="image"> | |
| <p class="text"> | |
| This Space use <a href="http://www.apache.org/licenses/LICENSE-2.0">the Apache 2.0</a> Licensed <a href="https://ai.google.dev/edge/mediapipe/solutions/vision/face_landmarker">Mediapipe FaceLandmarker</a><br> | |
| This service offers two object detection methods:object detection using MediaPipe with a selected center point, and object detection using a trained model.<br> | |
| "Current MediaPipe face-landmark detection struggle with faces rotated more than 45 degrees (due to limitations in training data).<br> | |
| Accurate detection in MediaPipe requires correct positioning, but I don't know the exact position needed. This is a known <a href="https://github.com/google-ai-edge/mediapipe/issues/4759">issue</a><br> | |
| center index see <a href="https://github.com/google-ai-edge/mediapipe/blob/a908d668c730da128dfa8d9f6bd25d519d006692/mediapipe/modules/face_geometry/data/canonical_face_model_uv_visualization.png">mediapipe face index image</a><br> | |
| We trained the model using data generated by rotating frontal views(Flux.1 schnell). Because of this rotation, the center points might not align perfectly, potentially causing a shift in the object detection<br> | |
| I'll share model and dataset soon.<br> | |
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