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as5048a-arduino icon as5048a-arduino

A simple SPI library to interface with Austria Microsystem's AS5048A angle sensor

autorccar icon autorccar

OpenCV Python Neural Network Autonomous RC Car

color-thief icon color-thief

Grabs the dominant color or a representative color palette from an image. Uses javascript and canvas.

darknet icon darknet

Windows and Linux version of Darknet Yolo v3 & v2 Neural Networks for object detection (Tensor Cores are used)

deep_sort_yolov3 icon deep_sort_yolov3

Real-time Multi-person tracker using YOLO v3 and deep_sort with tensorflow

deepgroup icon deepgroup

Hierarchical deep neural network for activity analysis of surveillance videos at individual, group and overall level.

deepgroupv2 icon deepgroupv2

Deep networks for group discovery and multi level activity recognition

detectandtrack icon detectandtrack

The implementation of an algorithm presented in the CVPR18 paper: "Detect-and-Track: Efficient Pose Estimation in Videos"

detectron icon detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

dhsegment icon dhsegment

Generic framework for historical document processing

drv8835-motor-shield icon drv8835-motor-shield

Arduino library for the Pololu DRV8835 Dual Motor Driver Shield for Arduino http://www.pololu.com/product/2511

go-callisto icon go-callisto

Official Go implementation of the Callisto protocol (CLO main client)

image-processing-in-opencv-python icon image-processing-in-opencv-python

my first project for image processing in opencv python is the Skin detection using my laptop's webcam , this project is all about skin detection using pyhton and opencv. To detect the skin we are using hsv color space. Set the upper and lower limit in pixel intensity in hsv color space to detect skin in the video. For faster skin detection process we are using the imutils function to reisize the frame. The frames from the webcam are in bgr color space so we need to convert it into hsv color space. Now by using cv2.inRange we create mask function. After that we are using erode ,dilation and guassianblur fuction to improve the detection process. After that finally we display the output.

imageai icon imageai

A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

imutils icon imutils

A series of convenience functions to make basic image processing operations such as translation, rotation, resizing, skeletonization, and displaying Matplotlib images easier with OpenCV and Python.

keras-yolo3 icon keras-yolo3

A Keras implementation of YOLOv3 (Tensorflow backend)

lcd icon lcd

This repository contains all of the code for interfacing with a 16x2 Character I2C LCD Display. This accompanies my YouTube tutorial here:

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