Precompiled packages for AWS Lambda

A Rock-Paper-Scissors game using computer vision and machine learning on Raspberry Pi

Feature extraction for labeled objects in images using regionprops from scikit-image

Fast Approximation of Bilateral Filter Implementation in Pure Python and Comparison with OpenCV and scikit-image Bilateral Implementations

Sm3ni is an Optical Musical Recognition project written in python that converts music sheets images to a text file representing the musical notes then to a .wav audio file that represents the music sheet .

Notes about Computer vision and implementation of image-processing, face-detection, face-recognition, and character optical recognition applications.

Python script that will spot the differences between two images.

Still in progress

Region labeling based on Canny features and Bounding-box Intersection over Union (IoU).

Python tools for hobby-astrophotography

Python program and GUI to reconstruct CT image

Fingerprint recognition with OpenCV

Generating Soil Moisture (SM) or Evapotranspiration (ET) maps from satellite images

Graduation Project. Applying Generative Adversarial Networks(GAN) with Residual-In-Residual(RIR) blocks.

An Image Reconstructor that applies fast proximal gradient method (FISTA) to the wavelet transform of an image using L1 and Total Variation (TV) regularizations

Cypher-Cam is a Python GUI application designed for surveillance using a webcam or surveillance camera. It includes features such as motion detection, noise detection, in/out tracking, and recording functionalities. The application has a user-friendly interface and supports a dark mode for better visibility in low-light conditions.

handwritten writer identification using classical machine learning pattern recognition techniques

This project concerned about using opencv and skimage to get the skeleton of a map generating by turtlebot, and processing the corner point of the skeleton in order to plan a route for the robot.

BUAA2021软工大作业——MiliMili短视频分享平台——后端部分

This project is designed to compare a set of generated images with a set of original images.