Yoga Pose Detection and Correction College Project

Setup

1. Create a python virtual environment.
2. Activate the venv.
3. Install all the libraries from requirements.txt using pip install -r requirements.txt.
4. Plug in a camera.
5. Run the command python live_detection.py.
6. Stand in a well lit room.
7. Stand in a way such that you are completely in frame.

Adding new poses

Preferably the images should be JPG/JPEG and the image names should be [number].jpg.

1. Create a new directory in ./poses_dataset/Images (the name can be anything but I recommend to use the name of the pose) and populate the it with the pose images.
2. Create another directory in ./poses_dataset/angles (again the name can be anything) and put one image of the pose. The image in this directory will be used as a 'known good' pose angles (the pose should be perfect), as in, during live detection the user's pose will be compared against this pose to make recommendations.
3. Run create_poses_csv.ipynb in the virtual env. This will create a file named

   yoga-pose-detection-correction/create_poses_csv.ipynb

   Line 120 in c52bfbd

   "data_pose.to_csv(\"./csv_files/poses_data_pose.csv\", index=False)"

   (you can name it whatever) which has all the x, y, z, and visibility values of all the desired landmark points of all poses in the ./poses_dataset/Images directory. The pose column value in the generated csv file will be an integer btw.
4. Then run create_angles_csv.ipynb. This will create another csv named

   yoga-pose-detection-correction/create_angles_csv.ipynb

   Line 104 in c52bfbd

   "file = open(\"./csv_files/poses_angles.csv\", \"w\")\n",

   It will have the 'known good' pose angles.
5. Then run rfc_model.ipynb which uses the csv generated in the step 3 as the input file to train/test the data on. It will then create a .model file named

   yoga-pose-detection-correction/rfc_model.ipynb

   Line 44 in c52bfbd

   "pk.dump(data_all_pose_model, open(f\"./models/poses.model\", \"wb\"))"

6. Finally you will have to change these variables in live_detection.py

   yoga-pose-detection-correction/live_detection.py

   Line 106 in c52bfbd

   model = pk.load(open("./models/4_poses.model", "rb"))

   yoga-pose-detection-correction/live_detection.py

   Line 108 in c52bfbd

   angles_df = pd.read_csv("./csv_files/4_angles_poses_angles.csv")

   to whatever you have created in steps 4 and 5.