#

darknet

Here are 86 public repositories matching this topic...

sergiomsilva / alpr-unconstrained

License Plate Detection and Recognition in Unconstrained Scenarios

python tensorflow darknet alpr plate-detection license-plate-recognition

Updated Jul 1, 2022
C

dog-qiuqiu / MobileNet-Yolo

MobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops 420KB:fire::fire::fire:

computer-vision deep-learning cv cnn yolo face-detection object-detection landmark-detection darknet landmark mnn ncnn mobilenetv2 yolov3 mobilenet-yolo ncnn-model mnn-framework

Updated Feb 6, 2021
C

BBuf / Darknet

AlexeyAB-DarkNet源码解析

darknet

Updated Mar 29, 2020
C

digitalbrain79 / darknet-nnpack

Darknet with NNPACK

raspberrypi yolo deeplearning darknet nnpack

Updated Feb 22, 2022
C

karolmajek / darknet-pjreddie

Convolutional Neural Networks

deep-learning object-detection darknet 4k-video yolo2 yolo9000

Updated Nov 2, 2017
C

DayBreak-u / darknet_face_with_landmark

加入关键点的darknet训练框架，轻量级的人脸检测，支持ncnn推理

darknet facedetect landmark ncnn yolov3 lightmode

Updated Jul 29, 2020
C

sowson / darknet

Darknet on OpenCL Convolutional Neural Networks on OpenCL on Intel & NVidia & AMD & Mali GPUs for macOS & GNU/Linux & Windows & FreeBSD

c windows macos linux freebsd cpu amd gpu opencl intel nvidia macosx darknet

Updated Sep 25, 2022
C

xhuvom / FaceID

An implementation of YOLO v2 for direct facial recognition within detection layer.

recognition facial darknet

Updated Apr 3, 2019
C

RiccardoGrin / darknet

Convolutional Neural Networks

machine-learning deep-learning yolo object-detection darknet yolo9000 you-only-look-once

Updated Nov 18, 2017
C

digitalbrain79 / pyyolo

Simple python wrapper for YOLO.

python deep-learning yolo darknet

Updated Jun 12, 2020
C

zhengshoujian / darknet-yolo-segmentation

This project is based on darknet to get image segmentation

yolo image-segmentation darknet darknet-yolo-segmentation

Updated May 4, 2020
C

KleinYuan / easy-yolo

Yolo (Real time object detection) model training tutorial with deep learning neural networks

python machine-learning tutorial real-time deep-learning camera yolo object-detection deep-learning-tutorial darknet training-yolo multiple-gpu labelimg

Updated Nov 7, 2017
C

rockcarry / ffcnn

ffcnn is a cnn neural network inference framework, written in 600 lines C language.

cnn yolo darknet ncnn yolov3 yolo-fastest

Updated Jul 6, 2022
C

jacky-xbb / go-yolo

Golang binding for YOLO/Darknet recognition framework

go deep-learning yolo darknet

Updated Mar 20, 2018
C

xueeinstein / darknet-vis

Visualize YOLO feature map in prediction for easily checking your model performance

yolo object-detection darknet

Updated Feb 12, 2018
C

gplast / DroNet

DroNet: Efficient convolutional neural network detector for Real-Time UAV applications

opencv application real-time uav gpu efficient detector edge yolo convolutional-neural-networks darknet dronet

Updated Mar 20, 2019
C

alaksana96 / darknet-crowdhuman

YOLO Detector for the CrowdHuman Dataset. Detects people and heads. Contains training instructions on how to convert between CrowdHuman and Darknet annotations

darknet yolov3 crowdhuman

Updated Apr 9, 2020
C

roboflow / darknet

YOLOv4 (v3/v2) - Windows and Linux version of Darknet Neural Networks for object detection (Tensor Cores are used)

machine-learning computer-vision neural-networks convolutional-neural-networks object-detection darknet yolov3 yolov4

Updated Sep 10, 2021
C

BruceDone / darknet_demo

darknet yolov3 tiny train model demo

python demo yolo deeplearning captcha-solving darknet yolov3 yolo-tiny

Updated Dec 11, 2018
C

lincolnhard / facenet-darknet-inference

Face recognition using facenet

cnn face-recognition face-detection dlib facenet knn darknet

Updated Apr 19, 2018
C

Improve this page

Add a description, image, and links to the darknet topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the darknet topic, visit your repo's landing page and select "manage topics."