Vitruvio: Exercise Trainer using Machine Learning

Uses Machine learning to give live feedback on users' exercises. Built using OpenPose and Tensorflow to process live camera data on a Raspbery Pi and detail feedback.

Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
camera_process		camera_process
processed_data		processed_data
test_data		test_data
.gitignore		.gitignore
.xinitrc		.xinitrc
README.md		README.md
TKItems.py		TKItems.py
camera-client.py		camera-client.py
camera-rpiCam-client.py		camera-rpiCam-client.py
camera-rpiCam-server.py		camera-rpiCam-server.py
camera-server.py		camera-server.py
camera.py		camera.py
cameraProcess-server.py		cameraProcess-server.py
cameraProcess.py		cameraProcess.py
cameraTest.py		cameraTest.py
getTestData.py		getTestData.py
labelVideo.py		labelVideo.py
labelVideoNoOpenPose.py		labelVideoNoOpenPose.py
package-lock.json		package-lock.json
package.json		package.json
poseDetection.py		poseDetection.py
predict.ipynb		predict.ipynb
predict.py		predict.py
process.py		process.py
readsave.py		readsave.py
rpiMain.py		rpiMain.py
test.py		test.py
tmp		tmp
tmp.py		tmp.py
tmp.py~		tmp.py~
v1.png		v1.png
v2.png		v2.png
v3.png		v3.png
video.py		video.py

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