ncnn is a high-performance neural network inference framework optimized for the mobile platform
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Updated
Mar 10, 2025 - C++
ncnn is a high-performance neural network inference framework optimized for the mobile platform
YOLO ROS: Real-Time Object Detection for ROS
GUI for marking bounded boxes of objects in images for training neural network Yolo v3 and v2
NVIDIA DeepStream SDK 7.1 / 7.0 / 6.4 / 6.3 / 6.2 / 6.1.1 / 6.1 / 6.0.1 / 6.0 / 5.1 implementation for YOLO models
TensorRT8.Support Yolov5n,s,m,l,x .darknet -> tensorrt. Yolov4 Yolov3 use raw darknet *.weights and *.cfg fils. If the wrapper is useful to you,please Star it.
A caffe implementation of MobileNet-YOLO detection network
🔥 (yolov3 yolov4 yolov5 unet ...)A mini pytorch inference framework which inspired from darknet.
Darknet/YOLO object detection framework
Computer Vision and Image Recognition algorithms for R users
Support Yolov5(4.0)/Yolov5(5.0)/YoloR/YoloX/Yolov4/Yolov3/CenterNet/CenterFace/RetinaFace/Classify/Unet. use darknet/libtorch/pytorch/mxnet to onnx to tensorrt
Marking up images for use with Darknet.
C++ wrapper library for Darknet
Darknet2ncnn converts the darknet model to the ncnn model
使用 "Darknet yolov3-tiny" 进行车牌识别
Use the Intel D435 real-sensing camera to realize target detection based on the Yolov3 framework under the Opencv DNN framework, and realize the 3D positioning of the Objection according to the depth information. Real-time display of the coordinates in the camera coordinate system.ADD--Using Yolov5 By TensorRT model,AGX-Xavier,RealTime Object De…
License plate parsing using Darknet and YOLO
A NodeJS wrapper of pjreddie's darknet / yolo.
Robotics Operating System Package for Yolo v3 based on darknet with optimized tracking using Kalman Filter and Optical Flow.
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