Search Results for "object detection"

...ML.NET has been designed as an extensible platform so that you can consume other popular ML frameworks (TensorFlow, ONNX, Infer.NET, and more) and have access to even more machine learning scenarios, like image classification, object detection, and more.

Darknet is an open source neural network framework written in C and CUDA, developed by Joseph Redmon. It is best known as the original implementation of the YOLO (You Only Look Once) real-time object detection system. Darknet is lightweight, fast, and easy to compile, making it suitable for research and production use. The repository provides pre-trained models, configuration files, and tools for training custom object detection models. With GPU acceleration via CUDA and OpenCV integration, it achieves high performance in image recognition tasks. ...

TNN, a high-performance, lightweight neural network inference framework open sourced by Tencent Youtu Lab. It also has many outstanding advantages such as cross-platform, high performance, model compression, and code tailoring. The TNN framework further strengthens the support and performance optimization of mobile devices on the basis of the original Rapidnet and ncnn frameworks. At the same time, it refers to the high performance and good scalability characteristics of the industry's...

...It features training scripts that reproduce SOTA results reported in latest papers, a large set of pre-trained models, carefully designed APIs and easy-to-understand implementations and community support. From fundamental image classification, object detection, semantic segmentation and pose estimation, to instance segmentation and video action recognition. The model zoo is the one-stop shopping center for many models you are expecting. GluonCV embraces a flexible development pattern while is super easy to optimize and deploy without retaining a heavyweight deep learning framework.

The TensorFlow Object Counting API is an open source framework built on top of TensorFlow and Keras that makes it easy to develop object counting systems. Please contact if you need professional object detection & tracking & counting project with super high accuracy and reliability! You can train TensorFlow models with your own training data to built your own custom object counter system!

GPUImage 2 is the second generation of the GPUImage framework, an open source project for performing GPU-accelerated image and video processing on Mac, iOS, and now Linux. The original GPUImage framework was written in Objective-C and targeted Mac and iOS, but this latest version is written entirely in Swift and can also target Linux and future platforms that support Swift code. The objective of the framework is to make it as easy as possible to set up and perform realtime video processing...

see this video : http://www.youtube.com/watch?v=C_JWw4R72nw It is a good framework for learning Physics in simulation, Water, splash, wave and collision detection all writen with object oriented programming in c++ Yes, it is similar World of goo!! but it is a test framework for working with Simple Direct media layer and physics engine. Currently I don't work in this project, you can use it under NEW BSD license.

A Java framework for writing sprite based games (turn-based, card, and arcade games.) Provides: Sprite management, rendering (Java2d or OpenGL), Collision Detection, Sprite widgets (buttons etc...), visual editor for layout of game widgets.

Intrepid is an object-oriented 2D game programming library written in C++ utilizing OpenGL and SDL that takes care of the low-level programming involved in making 2D games.You can create nearly every kind of 2D game. Comes with collision-detection, phy..

This library enables you to print in Java programs in an elegant way.This library includes support for Print Dialog, Automatic Printer detection, Print configuration, Print Preview and components that derive from your suggestions.