Popular GitHub Repositories for Fps

???YOLOv5-Lite: Evolved from yolov5 and the size of model is only 900+kb (int8) and 1.7M (fp16). Reach 15 FPS on the Raspberry Pi 4B~

Fast and accurate face landmark detection library using PyTorch; Support 68-point semi-frontal and 39-point profile landmark detection; Support both coordinate-based and heatmap-based inference; Up to 100 FPS landmark inference speed with SOTA face detector on CPU.

Aim-bot based on AI for all FPS games

Arbitrary object tracking at 50-100 FPS with Fully Convolutional Siamese networks.

A project that uses optical flow and machine learning to detect aimhacking in video clips.

:evergreen_tree: Aimbot powered by real-time object detection with neural networks, GPU accelerated with Nvidia. Optimized for use with CS:GO.

[High Performance / MAX 30 FPS] RaspberryPi3(RaspberryPi/Raspbian Stretch) or Ubuntu + Multi Neural Compute Stick(NCS/NCS2) + RealSense D435(or USB Camera or PiCamera) + MobileNet-SSD(MobileNetSSD) + Background Multi-transparent(Simple multi-class segmentation) + FaceDetection + MultiGraph + MultiProcessing + MultiClustering

PyTorch implementation of "Super-Realtime Facial Landmark Detection and Shape Fitting by Deep Regression of Shape Model Parameters" predicting facial landmarks with up to 400 FPS

A deep learning model to age faces in the wild, currently runs at 60+ fps on GPUs

FluidFrames | 基于AI的视频帧生成应用

FluidFrames.RIFE | video AI frame-generation app

megastep helps you build 1-million FPS reinforcement learning environments on a single GPU

[5 FPS - 150 FPS] Learning Deep Features for One-Class Classification (AnomalyDetection). Corresponds RaspberryPi3. Convert to Tensorflow, ONNX, Caffe, PyTorch. Implementation by Python + OpenVINO/Tensorflow Lite.

Easily run text-to-video diffusion with customized video length, fps, and dimensions on 4GB video cards or on CPU.

First person shooter with Unity terrain and AI pathfinding (http://gdev.tv/cudgithub)

Web-first SDK that provides real-time ARKit-compatible 52 blend shapes from a camera feed, video or image at 60 FPS using ML models.

??♂? A Unity based FPS with a Zombie theme using raycasting for shooting and the core mechanics you'd expect in an FPS. Zombies use AI navigation and precise pathfinding to chase down the player. The game also has a HUD interface which is VR compatible.

TensorFlow Lite SSD on bare Raspberry Pi 4 with 64-bit OS at 24 FPS

TensorFlow Lite Posenet on bare Raspberry Pi 4 with 64-bit OS at 9.4 FPS

TensorFlow Lite segmentation on Raspberry Pi 4 aka Unet at 7.2 FPS with 64-bit OS