525 Open source projects that are alternatives of or similar to Darknet2caffe

Unsupervised Deep Hashing with Similarity-Adaptive and Discrete Optimization (TPAMI2018)

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Lane and obstacle detection for active assistance during driving. Uses windowed sweep for lane detection. Combination of object tracking and YOLO for obstacles. Determines lane change, relative velocity and time to collision

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A Caffe2 implementation of the YOLO v3 object detection algorithm

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Deep Learning Applied To Vehicle Registration Plate Detection and Recognition in PyTorch.

Training & Quantization of embedded friendly Deep Learning / Machine Learning / Computer Vision models

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This repo is implemented based on detectron2 and centernet

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开源人脸口罩检测模型和数据 Detect faces and determine whether people are wearing mask.

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A Libtorch implementation of the YOLO v3 object detection algorithm

The Devils Eye is an OSINT tool that extracts onion links and descriptions that match with the users query from the Darkweb, without requiring the use for Tor.

An open-source food image embedding model

增值税发票OCR识别，使用flask微服务架构，识别type：增值税电子普通发票，增值税普通发票，增值税专用发票；识别字段为：发票代码、发票号码、开票日期、校验码、税后金额等

No description or website provided.

MobileNet-v2 experimental network description for caffe

The U-Net Segmentation server (caffe_unet) for Docker

A deep learning based algorithm to detect rotated object, for example, objects in remote sensing images

A NodeJS wrapper of pjreddie's darknet / yolo.

基于YOLO-lite的web实时人脸检测，tfjs人脸检测，目标检测

My tests and experiments on Caffe, the deep learning framework by Berkeley Vision and Learning Center (BVLC) and its contributors.

Node bindings for YOLO/Darknet image recognition library

The back-end for the YOLOv3 object detector running as a webapp

Using yolov3 & yolov4 weights objects are being detected from live video frame along with the measurement of the object from the camera without the support of any extra hardware device.

The code for preparing the training data for crowd counting / segmentation algorithm.

YOLO V2 & V3 , YOLO Combined with RCNN and MaskRCNN

A curated list of awesome I2P implementations, libraries, resources, projects, and shiny things. I2P is an anonymous overlay network - a network within a network. It is intended to protect communication from dragnet surveillance and monitoring by third parties such as ISPs.

Joint Detection and Identification Feature Learning for Person Search

Real-time visual object tracking using correlations filters and deep learning

Self Maintained Caffe. In this version Faster-RCNN, RFCN needs layer are fully supported!

pytorch to caffe by onnx

全平台实时人脸检测和姿态估计，提供无需任何框架实现Realtime Face Detection and Head pose estimation on Windows、Ubuntu、Mac、Android and iOS

A pytorch implementation of YOLOv1-v3

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Faster R-CNN for pedestrian detection