Spinkoo's repositories
Region-Growing
Region growing segmentation algorithm using python
Matlab2TorchRL
This project is a pipeline that connects a Matlab simulation (Simulink) to an OpenAI Gym wrapper for PyTorch Reinforcement Learning using the DQN algorithm.
Simulink-based-inference
This repo contains examples of how to use Simulink simulation to perform simulation-based inference calculations in Python
Embedded-Yolov7
Compress, Deploy and Inference YOLOv7 on low-cost MCUs
Image-Steganography
Image Steganography in the frequency domain c++
Spinkoo-Ball
A simple game made for improving your aim precision using BOX2D / javascript
Calibration
Chekcerboard calibration from a video or from a give image sequence
HOG-tracker
Track objects using HOG from scratch
Object-classification-
SVM and MLP based on SIFT descriptors
Arrow
Basic 2D javascript game
awesome-quantum-machine-learning
Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web
Awesome-Vision-Attentions
Summary of related papers on visual attention. Related code will be released based on Jittor gradually.
CEC-CVPR2021
Pytorch code for CVPR2021 paper "Few-Shot Incremental Learning with Continually Evolved Classifiers"
CNN_Car_Detector
Training a deep-learning classifier for aerial top view detection of vehicles.
detection-and-tracking-from-uav
Detect and track vehicles and pedestrian from UAV videos
DiceLoss-PyTorch
DiceLoss for PyTorch, both binary and multi-class.
FastSAM
Fast Segment Anything
LightGlue
LightGlue: Local Feature Matching at Light Speed
movenet.pytorch
A Pytorch implementation of MoveNet from Google. Include training code and pre-trained model.
scenic
Scenic: A Jax Library for Computer Vision Research and Beyond
Vehicle-Detection-and-Tracking
Computer vision based vehicle detection and tracking using Tensorflow Object Detection API and Kalman-filtering
vision
Datasets, Transforms and Models specific to Computer Vision
yolov7
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors