Building a robot that can play Chinese chess (XiangQi) with humans.

NVR with realtime local object detection for IP cameras

Database system for AI-powered apps

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite

Open source Python library for building bioimage analysis pipelines

Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models

Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.

Notebooks to upload/download marine footage, connect to a citizen science project, train machine learning models and publish marine biological observations.

Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.

Inference runtime offering GPU-class performance on CPUs and APIs to integrate ML into your application

Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™

OpenMMLab's next-generation platform for general 3D object detection.

Create different robot applications using Turtlebot3 burger

Python Computer Vision & Video Analytics Framework With Batteries Included

Support batch inference of Grounding DINO. "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"

My own solutions for Computer Vision! This is a sub-project of Mergen; all the Python codes must be translated to C++. In order to debug them faster and more easily, we use Python language and libraries like NumPy, SciPy, SciKit-Learn, OpenCV and Pillow.

OpenMMLab Detection Toolbox and Benchmark

Experience the power of Clarifai’s AI platform with the python SDK.

Open source training framework for vision tasks. Scales up on data and scales up on tasks.

Techniques for deep learning with satellite & aerial imagery

Preparation for samara hackathon

定时获取谷歌学术和arxiv论文的相关更新 (代码只有一个py文件，较简单有注释)

ConveyorVision is an innovative real-time system designed to automate the counting and tracking of cement bags on conveyor belts. Utilizing cutting-edge deep learning techniques like YOLOv8 for object detection and Byte tracker for precise tracking, ConveyorVision accurately monitors cement bags as they traverse the conveyor belt.

Implementation of Focus Convolutional Neural Network for Object Detection.

An open source library and framework for deep learning on satellite and aerial imagery.

We write your reusable computer vision tools. 💜

A six degreees of freedom (6DOF) robot arm able to pick up objects. Uses an Arduino Mega with a Ramps 1.4 shield to control 5 stepper motors, 2 servos and some switces. A Raspberry with a PiCam is used for the object detection.

Plate Detection w/detectron2 (mAP@75: 89.19)