Description:

Everyone knows Fruit Ninja; meet 112 Ninja! 
This high-octane gaming experience will free you of your once sedentary lifestyle.
Instead of swiping your fingers on mom's iPad like everyone else, our app allows
you to truly embody the way of the *warrior/ninja* by making this classic gameplay
a whole-body experience. Leveraging OpenCV video analysis with Mediapipe 
Human Pose Estimation, our software tracks your index finger, turning it to a
truly powerful sword that slices through fruits and Piazza with ease--watch
out for bombs and Kosbies, though! 


Authors:

Pietro Coppola di Canzano (pcoppola@andrew.cmu.edu)
Louis Sloot (lsloot@andrew.cmu.edu)
Hridayam Tusnial (htusnial@andrew.cmu.edu)
Dylan Yang (dylany@andrew.cmu.edu)


Dependencies:

opencv-python
mediapipe
cmu_graphics

*Run main.py to begin the program.

Citations:
https://www.geeksforgeeks.org/python-opencv-cv2-cvtcolor-method/
https://ai.google.dev/edge/mediapipe/solutions/vision/hand_landmarker
https://ai.google.dev/edge/api/mediapipe/js/tasks-vision.drawingutils#drawingutilsdrawlandmarks
https://docs.opencv.org/3.4/d8/dfe/classcv_1_1VideoCapture.html#a57c0e81e83e60f36c83027dc2a188e80
https://www.spriters-resource.com/mobile/fruitninja/
https://academy.cs.cmu.edu/docs
https://mediapipe.readthedocs.io/en/latest/solutions/hands.html
ChatGPT (helped with setting up OpenCV video capture)
https://ai.google.dev/edge/mediapipe/solutions/vision/pose_landmarker
https://ai.google.dev/edge/api/mediapipe/js/tasks-vision.poselandmarker#poselandmarkerdetect
https://colab.research.google.com/github/googlesamples/mediapipe/blob/main/examples/pose_landmarker/python/%5BMediaPipe_Python_Tasks%5D_Pose_Landmarker.ipynb#scrollTo=_JVO3rvPD4RN