🌓 Bringing pjreddie's DarkNet out of the shadows #yolo
-
Updated
Oct 28, 2018 - C
🌓 Bringing pjreddie's DarkNet out of the shadows #yolo
ImageNet file xml format to Darknet text format
R interface to fast.ai
OpenCL HLS based CNN Accelerator on Intel DE10 Nano FPGA.
vedai dataset for darknet
Deep learning based vehicle damage detection solution. This repository is linked to the web application which is integrated with the mentioned system.
Rust bindings for darknet
Implementing YOLO (object detection algorithm) in PyTorch
Aims at helping Policemen to identify a potentially dangerous situation like a person holding a deadly weapon and is trained especially for detection of the presence of GUNS in an image.
PyTorch implementation of the Tiny Darknet Image Classification algorithm
Implement the tiny yolo in opencv with opencl
Deep learning based vehicle damage detection solution. This repository is linked to the web application which is integrated with the mentioned system.
Now open source and free and no support and no updates ;)
Detecta o fluxo de veículos e pedestres nas vias. Os dados alimentam um sistema que ajusta os tempos semafóricos conforme a quantidade de veículos registrada na via, dando mais fluidez ao trânsito.
A real time object detection using YOLO and tensorflow library on python
This repository gives an implementation of object-detection algorithm,YOLO(v2 and v3) using VOC or COCO data
COCO dataset to Yolo format annotations and images downloader, also Negatives categories can be downloaded too.
This is a simple GUI for darknet YOLO framework.
This implementation using darknet's pytorch implementation to detect objects and classify them as per the type of grip used by the human hand to interact with the object.
working with Darknet YOLO, a real-time object detection system.
Add a description, image, and links to the darknet-image-classification topic page so that developers can more easily learn about it.
To associate your repository with the darknet-image-classification topic, visit your repo's landing page and select "manage topics."