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https://github.com/rvk007/advance-computer-vision

Computer vision projects using Mediapipe and OpenCV
https://github.com/rvk007/advance-computer-vision

ai-track-exercise computer-vision face-detection face-mesh-detection hand-tracking mediapipe pose-estimation virtual-mouse virtual-paint

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Computer vision projects using Mediapipe and OpenCV

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# Advanced Computer Vision

[Source Link](https://www.youtube.com/watch?v=01sAkU_NvOY&t=1623s)

The repository contains 8 mini-projects which are built upon majorly two libraries [MediaPipe](https://mediapipe.dev/) and [OpenCV](https://opencv.org/). While MediaPipe offers a number of functionalities to perform hand tracking, pose estimation etc, OpenCV helps users to interact with these models.

The amazing thing about all of these projects is that they run on **CPU** in real-time!

## Hand Tracking

Detecting and tracking 21 3D hand landmarks at around 25 frames per second. To see the code go [here](hand_tracking).

## Pose Estimation

Finding and tracking 33 3D full-body landmarks from an image or video. To see the code go [here](pose_estimation).

## Face Detection

Recognize 6 face landmarks. To see the code go [here](face_detection).

## Face Mesh

Spots 468 3D face landmarks in real-time. To see the code go [here]face_mesh).

## Finger Counter

Uses the module from hand tracking and applies a little math to count the number of fingers. This may come in handy when you want your computer to do some tasks depending upon the number of fingers you are holding up. To see the code go [here](finger_counter).

## AI Personal Trainer

Here we employ a pose estimation module to track movements of the body. To see the code go [here](personal_ai_trainer).

## AI Virtual Painter

We create a canvas to select a tool to paint, then with some maths and hand tracking module, we fill color in our canvas. To see the code go [here](virtual_painter).

## AI Virtual Mouse

I was the most excited for this project, where after waving your hand in the air you can play music or pretty much do any task. To see the code go [here](virtual_mouse).