Search Results for "video detection"

MediaPipe offers open-source cross-platform, customizable ML solutions for live and streaming media. Provides segmentation masks for prominent humans in the scene. MediaPipe Face Mesh is a face geometry solution that estimates 468 3D face landmarks in real-time even on mobile devices. It employs machine learning (ML) to infer the 3D surface geometry, requiring only a single camera input without the need for a dedicated depth sensor. Utilizing lightweight model architectures together with GPU...

A multi-system emulator written in C#. As well as quality-of-life features for casual players, it also has recording/playback and debugging tools, making it the first choice for TASers (Tool-Assisted Speedrunners). Screenshotting and recording audio + video to file. Firmware management, input, framerate, and more in a HUD over the game. Rebindable hotkeys for controlling the frontend (keyboard+mouse+gamepad). A comprehensive input mapper for the emulated gamepads and other peripherals....

...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.

...By relying on the GPU to run these operations, performance improvements of 100X or more over CPU-bound code can be realized. This is particularly noticeable in mobile or embedded devices. On an iPhone 4S, this framework can easily process 1080p video at over 60 FPS. On a Raspberry Pi 3, it can perform Sobel edge detection on live 720p video at over 20 FPS.

The GPUImage framework is a BSD-licensed iOS library that lets you apply GPU-accelerated filters and other effects to images, live camera video, and movies. In comparison to Core Image (part of iOS 5.0), GPUImage allows you to write your own custom filters, supports deployment to iOS 4.0, and has a slightly simpler interface. However, it currently lacks some of the more advanced features of Core Image, such as facial detection. GPUImage uses OpenGL ES 2.0 shaders to perform image and video manipulation much faster than could be done in CPU-bound routines. ...

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.