Visualizer for neural network, deep learning and machine learning models
-
Updated
Jun 13, 2024 - JavaScript
Visualizer for neural network, deep learning and machine learning models
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
ncnn is a high-performance neural network inference framework optimized for the mobile platform
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.
C++ wrapper library for Darknet
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
Hungarian algorithm + Kalman filter multitarget (multi-object) tracker implementation.
Some darknet resources. All content published here is for educational purposes only.
A collection of awesome software, libraries, learning tutorials, documents, books & technical resources and cool stuff about dark web.
Darknet/YOLO object detection framework
PyTorch implementations of recent Computer Vision tricks (ReXNet, RepVGG, Unet3p, YOLOv4, CIoU loss, AdaBelief, PolyLoss, MobileOne)
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.
Digital Forensics and Incident Response (DFIR)
Marking up images for use with Darknet.
Add a description, image, and links to the darknet topic page so that developers can more easily learn about it.
To associate your repository with the darknet topic, visit your repo's landing page and select "manage topics."