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The Hand Tracking Module is easy to be integrated within any project. It is based on Python 3.9 and 3.8 and supports python 3.9 and above. The module uses extensive libraries such as newly launched OpenCV 4.6 for best results and Mediapipe 0.8 to track hand movements and points more specifically. The applications which include volume control, ge…
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midnightcodex/HandTrackingModule
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The Hand Tracking Module is easy to be integrated within any project. It is based on Python 3.9 and 3.8 and supports python 3.9 and above. The module uses extensive libraries such as newly launched OpenCV 4.6 for best results and Mediapipe 0.8 to track hand movements and points more specifically. The applications which include volume control, gesture control and mouse pointer control uses libraries Pycaw, autopy, etc.
Include OpenCv and Mediapipe for handtracking module. Include Pycaw for Voume control. For mouse control make sure you have autopy included and pytthon 3.8 interpreer, as autopy is based on python 3.8.
Easy to understand and implement. Just download or clone and get started. Beginner friendly, only 2 library have been used. Less code more functionality.
Finger Counter only works with left hand, as there is condition is set for right hand thumb.
PS: PPT is included for college project
About
The Hand Tracking Module is easy to be integrated within any project. It is based on Python 3.9 and 3.8 and supports python 3.9 and above. The module uses extensive libraries such as newly launched OpenCV 4.6 for best results and Mediapipe 0.8 to track hand movements and points more specifically. The applications which include volume control, ge…
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Cadris/HandTrackModule
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Python Hand Tracking Module
This is a Hand Tracking Module, which tracks the position of different landmarks in the hand.
How to install : pip install Silver-HandTrackingModule
- Language Used : Python
- Requirements(Do a pip install) :
- OpenCV
- MediaPipe
- Files :
- activate.bat : Just activte the virtual enviroment, like a shortcut.
- HandTrackingModule.py — Main Module. You Need to import this file to your File.
- media pipe hand landmarks.PNG — Hand Land marks Used By the Mediapipe.
- main.py — The Whole Thing. I used it to devolop the project.
- Application2.py — Used this to show how to use the Hand Tracking Module.
- README.md : Summon Michael Jackson.
My My pip list
(venv) D:\Projects\Python\HandTrack>pip list Package Version --------------------- -------- absl-py 0.13.0 attrs 21.2.0 cycler 0.10.0 kiwisolver 1.3.2 matplotlib 3.4.3 mediapipe 0.8.7.1 numpy 1.21.2 opencv-contrib-python 4.5.3.56 opencv-python 4.5.3.56 Pillow 8.3.1 pip 21.1.3 protobuf 3.17.3 pyparsing 2.4.7 python-dateutil 2.8.2 setuptools 56.0.0 six 1.16.0 wheel 0.37.0
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Simple hand landmarks detection and hand tracking module using openCV and mediapipe
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philipnakhleh/Hand-Tracking-Module
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Simple hand landmarks detection and hand tracking module on python3 using openCV and mediapipe
I’m using python 3.7.9, opencv 4.5.5.62 and mediapipe 0.8.9.1
import cv2 as cv import HandTrackingModule as hd
cap = cv.VideoCapture(1) detector = hd.handDetector() while True: sucess, img = cap.read() img = detector.findHands(img) try: fingers = detector.getFingers(img) print(fingers) except Exception as ex: Print(f'An Exception Occurred: ex>') cv.imshow('image', img) k = cv.waitKey(1) if k == 27: break
if you are having issues let me know