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LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source …
以kears-yolov3做detector，以Kalman-Filter算法做tracker，进行多人物目标追踪
Multiple Object Tracker, Based on Hungarian algorithm + Kalman filter.
Face detection; recognition and assessment of wrinkles and pits
My final year project. Human Detection and Tracking in Video. Using Nokia Qt with OpenCV library.
Implementation of MOSSE fiilter paper - Using C++/Qt/OpenCV
Music player for social network vk.com. C++, Qt 4.7, Phonon
Person Re-ranking (CVPR 2017)
Project GaitSystem is a Gait recognition system based Windows Visual Studio 2017. The algorithm based the paper Gait optical flow image decomposition for human recognition.
Accelerometer-based gait recognition using signature points
This repository contains software code to track various human body joints in low resolution video given the human pose at each frame. The tracking is important to get more accurate locations of the…
ID-discriminative Embedding (IDE) for Person Re-identification
Draw multi-layer neural network in your browser
Multiple object tracking using Kalman Filter and Hungarian Algorithm - OpenCV
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…
Real-time Multi-person tracker using YOLO v3 and deep_sort with tensorflow
FgSegNet: Foreground Segmentation Network, Foreground Segmentation Using Convolutional Neural Networks for Multiscale Feature Encoding
Visualizer for neural network, deep learning and machine learning models
Implementation of Grad CAM in tensorflow
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
I took Andrew Ng's Machine Learning course on Coursera and did the homework assigments... but, on my own in python because I love jupyter notebooks!
Python programming assignments for Machine Learning by Prof. Andrew Ng in Coursera