Real Time Face Recognition - OpenCV Python3
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Updated
Sep 5, 2019 - Python
Real Time Face Recognition - OpenCV Python3
WebCam Real Time Digits Recognition - OpenCV Python3
Optical graph recognition script
Cross-Platform Real-Time ObjectDetection via OpenCV
Transparent wrappers around cv2.VideoCapture and cv2.VideoWriter to make them more Pythonic
Count number of fingers in a frame using OpenCV
Rest API to find the dominant colour and the border colour of any logo
A small Raspberry Pi face recognition/baldness detector project, using OpenCV and Microsoft Face AI
Project on the topic "Counting microbial colonies" on PyQT5 and OpenCV.
Computer vision is an interdisciplinary scientific field that deals with how computers can gain high-level understanding from digital images or videos.
The project take video that contains one hand moving gesture and by using Image Processing(Python opencv) and an alogirthm calculates code bit i.e. state of each finger if it is open(1) closed(0) or half open(0.5) calculates the direction of movement of the object of interest i.e. hand and maps it a corresponding word that is defined in a small …
Computer Vision Based System to read the numbers in an Ishihara Plate test
Tiny Python program to capture the image and video, and detect faces (in real time) powered by OpenCV.
Introduction to OpenCV with Python3 for BuildingBloCS2020 https://buildingblocs.github.io/2020/
Python-based OpenCV program for detecting leaves and creating segmentation masks based on images in the Komatsuna dataset.
Rock Paper Scissor Game
The program turns an ip camera into an AI camera
Learning OpenCV to get exposed to a wide range of exciting topics like Image & Video Manipulation, Image Enhancement, Filtering, Edge Detection, Object Detection and Tracking, Face Detection and the OpenCV Deep Learning Module.
This project is a Volume Gesture Controller made using Python. This project uses opencv-python, mediapipe libraries to check for the distance between the thumb and index finger. The variance in distance changes the volume accordingly. This is an application of the Hand Tracking Module.
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