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

Implementation for <SphereFace: Deep Hypersphere Embedding for Face Recognition> in CVPR'17.

A collection of Audio and Speech pre-trained models.

PyTorch implementations of recent Computer Vision tricks

AI智能审查，支持色情识别、暴恐识别、语言识别、敏感文字检测和视频检测等功能，以及各种OCR识别能力，如身份证、驾照、行驶证、营业执照、银行卡、手写体、车牌和名片识别等功能，可以访问网站体验功能。

MOT using deepsort and yolov3 with pytorch

FeatherCNN is a high performance inference engine for convolutional neural networks.

An online GUI tool used to visualize prototxt and generate prototxt for caffe(current version).

Complete YOLO v3 TensorFlow implementation. Support training on your own dataset.

Trial on kaggle imagenet object localization by yolo v3 in google cloud

A Computation Graph Virtual Machine Based Deep Learning Framework

darknetpy is a simple binding for darknet's yolo detector

Real-time Multi-person tracker using YOLO v3 and deep_sort with tensorflow

Combine Baidu Research warpctc with Caffe

Training Toolbox for Caffe

YOLO9000: Better, Faster, Stronger - Real-Time Object Detection. 9000 classes!

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

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

Darknet OSINT Transform

Repository of my fashion-parsing project. This project is put on hold since I am doing another project now, but will debug if bugs are reported.

MobileNet-v2 experimental network description for caffe

A deep convolutional neural network system for live emotion detection

基于YOLO-lite的web实时人脸检测，tfjs人脸检测，目标检测

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.

Data-parallel image stylization using Caffe.

Darknet Osint Graph Explorer

Paperspace API for python

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

CORe50: a new Dataset and Benchmark for Continual Learning

Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome

High level network definitions with pre-trained weights in TensorFlow

Kaggle dogs vs cats solution in Caffe

R interface to fast.ai

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 Detection

Caffe models (including classification, detection and segmentation) and deploy files for famouse networks

This repository stores the files used for my summer internship's work on "teacher-student learning", an experimental method for training deep neural networks using a trained teacher model.

Run 3 scripts to (1) Synthesize images (by putting few template images onto backgrounds), (2) Train YOLOv3, and (3) Detect objects for: one image, images, video, webcam, or ROS topic.

Reimplementation ResNet on cifar10 with caffe

Trojan Attack on Neural Network

GUI for marking bounded boxes of objects in images for training neural network Yolo v3 and v2

train resnet on imagenet from scratch with caffe

MobileNet-SSD(MobileNetSSD) + Neural Compute Stick(NCS) Faster than YoloV2 + Explosion speed by RaspberryPi · Multiple moving object detection with high accuracy.

YOLOv2 algorithm reimplementation with pytorch

This project aims to count every vehicle (motorcycle, bus, car, cycle, truck, train) detected in the input video using YOLOv3 object-detection algorithm.

Making custom object detector using Yolo (Java and Python)

This is an implementation of very deep two stream CNNs for action recognition. The implementation is inspired by Wang et. al., https://github.com/yjxiong/caffe. Some improvements from Wang's implementation include reading videos from LDMB database, faster testing using LDMB interface. The aim is to work better with big dataset such as UCF101, HMDB51, Sports1M and ActivityNet easily.

convert model from mxnet to caffe without lossing precision

🙄 Difficult algorithm, Simple code.

More Than YOLO（v3, v4, v3-tiny, v4-tiny）

faster-rcnn c++ python model

Convert a matcaffe model (column major) to a pycaffe or c++ caffe (row major) model

Add-on package for ONNX format support in Chainer

YOLOv3 in PyTorch > ONNX > CoreML > TFLite

Deep Learning Benchmarking Suite

Caffe implementation of "Fast and Accurate Single Image Super-Resolution via Information Distillation Network" (CVPR 2018)

《深度学习与计算机视觉》配套代码

Implementation of YOLO v3 object detector in Tensorflow (TF-Slim)

Convert https://pjreddie.com/darknet/yolo/ into pytorch

vehicle image retrieval using k CNNs ensemble method