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I've been using the example code provided in the repository (https://github.com/iwatake2222/play_with_tflite/tree/master/pj_tflite_face_landmark_with_attention) to work with the face mesh with attention model. However, I've noticed a significant difference in performance compared to the results shared in another example I found online (https://storage.googleapis.com/tfjs-models/demos/face-landmarks-detection/index.html?model=mediapipe_face_mesh). I am running the code from a virtual machine with Ubuntu 22.04. I followed the steps to set up TensorFlow Lite and haven't made any changes to the test script (main.cpp). Below are two images that illustrate the difference in performance between models.
Just wanted to drop a line to say a big thanks in advance to anyone who can help out with this.
The text was updated successfully, but these errors were encountered:
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I've been using the example code provided in the repository (https://github.com/iwatake2222/play_with_tflite/tree/master/pj_tflite_face_landmark_with_attention) to work with the face mesh with attention model. However, I've noticed a significant difference in performance compared to the results shared in another example I found online (https://storage.googleapis.com/tfjs-models/demos/face-landmarks-detection/index.html?model=mediapipe_face_mesh). I am running the code from a virtual machine with Ubuntu 22.04. I followed the steps to set up TensorFlow Lite and haven't made any changes to the test script (main.cpp). Below are two images that illustrate the difference in performance between models.
Just wanted to drop a line to say a big thanks in advance to anyone who can help out with this.
The text was updated successfully, but these errors were encountered: