Hi in this video you will learn to develop android app using kotlin which will be able to detect pose of the human from the direct feed of the back camera.
We will use camera2api for taking frames from camera then we will extract bitmap from it then pass the bitmap through tflite model after processing it via image processor.
After getting the predictions from the tflite model we will use canvas and paint to draw the predictions.
model link : https://www.tensorflow.org/lite/examples/pose_estimation/overview
camera2api video : https://youtu.be/S-7H72UTiBU
code : https://github.com/Pawandeep-prog/realtime_pose_detection_android
Thanks for watching the video :)
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android studio,tflite,deep learning,model deploy,posenet,camera2api,deploy ml model android,android,kotlin,realtime pose,detection,keypoints
