ncnn is a high-performance neural network inference framework optimized for the mobile platform
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Updated
Jun 5, 2024 - C++
ncnn is a high-performance neural network inference framework optimized for the mobile platform
Darknet/YOLO object detection framework
Visualizer for neural network, deep learning and machine learning models
Hungarian algorithm + Kalman filter multitarget (multi-object) tracker implementation.
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.
A Python script that uses YOLOv4 for detecting objects in public camera streams from Insecam.
Self-hosted, local only NVR and AI Computer Vision software. With features such as object detection, motion detection, face recognition and more, it gives you the power to keep an eye on your home, office or any other place you want to monitor.
Implemented in pure pascal LightNet is an artificial intelligence neural network library Inspired by Darknet and yolo library which can run most of the darknet including YOLO models nativly and self dependently in pascal, tests are provided for both Lazarus and Delphi
Digital Forensics and Incident Response (DFIR)
Marking up images for use with Darknet.
🔥 Unleash the Power of Computer Vision!
This repository contains the files and scripts that were required in completing the Data Science Immersive course's Capstone Project at General Assembly.
Vehicle counting/tracking and speed estimation
PyTorch implementations of recent Computer Vision tricks (ReXNet, RepVGG, Unet3p, YOLOv4, CIoU loss, AdaBelief, PolyLoss, MobileOne)
NVIDIA DeepStream SDK 7.0 / 6.4 / 6.3 / 6.2 / 6.1.1 / 6.1 / 6.0.1 / 6.0 / 5.1 implementation for YOLO models
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