1068 Open source projects that are alternatives of or similar to simpleAICV-pytorch-ImageNet-COCO-training

基于opencv的4种YOLO目标检测，C++和Python两个版本的实现，仅仅只依赖opencv库就可以运行

Multiple Object Tracking System in Keras + (Detection Network - YOLO)

Unofficial PyTorch Reimplementation of RandAugment.

(ECCV 2020) Tensorflow implementation of A Generic Visualization Approach for Convolutional Neural Networks

Use the YOLO v4 and v5 (ONNX) models for object detection in C# using ML.Net

Support Yolov5s,m,l,x .darknet -> tensorrt. Yolov4 Yolov3 use raw darknet *.weights and *.cfg fils. If the wrapper is useful to you,please Star it.

🔥 (yolov3 yolov4 yolov5 unet ...)A mini pytorch inference framework which inspired from darknet.

Gluon to PyTorch deep neural network model converter

YOLOv3 implementation in TensorFlow 2.3.1

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

A set of tool which would make your life easier with Tensorrt and Onnxruntime. This Repo is designed for YoloV3

加入关键点的darknet训练框架，轻量级的人脸检测，支持ncnn推理

YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite

🙄 Difficult algorithm, Simple code.

PyTorch implementations of recent Computer Vision tricks

Speech commands recognition with PyTorch

Pytorch implementation of network design paradigm described in the paper "Designing Network Design Spaces"

Collection of computer vision models, ready to be included in a JVM project

Image Captions Generation with Spatial and Channel-wise Attention

Keras/Tensorflow attention models including beit,botnet,CMT,CoaT,CoAtNet,convnext,cotnet,davit,efficientdet,efficientnet,fbnet,gmlp,halonet,lcnet,levit,mlp-mixer,mobilevit,nfnets,regnet,resmlp,resnest,resnext,resnetd,swin,tinynet,uniformer,volo,wavemlp,yolor,yolox

High level network definitions with pre-trained weights in TensorFlow

PyTorch to Keras model convertor

OpenMMLab Image Classification Toolbox and Benchmark

A c++ trainable semantic segmentation library based on libtorch (pytorch c++). Backbone: ResNet, ResNext. Architecture: FPN, U-Net, PAN, LinkNet, PSPNet, DeepLab-V3, DeepLab-V3+ by now.

ImageNet pre-trained models with batch normalization for the Caffe framework

This project is the PyTorch implementation of our accepted CVPR 2020 paper : forward and backward information retention for accurate binary neural networks.

train resnet on imagenet from scratch with caffe

A lightweight convolutional neural network

Sandbox for training deep learning networks

LUNA16-Lung-Nodule-Analysis-2016-Challenge

Darknet2ncnn converts the darknet model to the ncnn model

Scaled-YOLOv4: Scaling Cross Stage Partial Network

Selective Classification For Deep Neural Networks.

A PyTorch implementation for PyramidNets (Deep Pyramidal Residual Networks, https://arxiv.org/abs/1610.02915)

Keras implementation of a ResNet-CAM model

Deep fusion project of deeply-fused nets, and the study on the connection to ensembling

MobileNetV3 in pytorch and ImageNet pretrained models

Object Tracking in Tensorflow ( Localization Detection Classification ) developed to partecipate to ImageNET VID competition

PyTorch implementation of Octave Convolution with pre-trained Oct-ResNet and Oct-MobileNet models

Implementatoin of object detection using Tensorflow 2.1.0 | this can be use in a car for object detection

ResNet with Shift, Depthwise, or Convolutional Operations for CIFAR-100, CIFAR-10 on PyTorch

Implementation of EfficientNet model. Keras and TensorFlow Keras.

Sample apps to demonstrate how to deploy models trained with TAO on DeepStream

Fast MOT base on yolo+deepsort, support yolo3 and yolo4

PyTorch-based modular, configuration-driven framework for knowledge distillation. 🏆18 methods including SOTA are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy.

YOLOv4 object detector using TensorRT engine

implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)

Address book for computer vision models.

FCOS: Fully Convolutional One-Stage Object Detection.

Fast Image Retrieval (FIRe) is an open source project to promote image retrieval research. It implements most of the major binary hashing methods to date, together with different popular backbone networks and public datasets.

PyTorch pipeline of MIT Driverless Computer Vision paper(2020)

An open-source toolkit which is full of handy functions, including the most used models and utilities for deep-learning practitioners!

📈📈📈【口罩佩戴检测数据训练 | 开源口罩检测数据集和预训练模型】Train D/CIoU_YOLO_V3 by darknet for object detection

Python library for computer vision labeling tasks. The core functionality is to translate bounding box annotations between different formats-for example, from coco to yolo.

[ECCV 2020] Scale Adaptive Network: Learning to Learn Parameterized Classification Networks for Scalable Input Images

PyTorch ,ONNX and TensorRT implementation of YOLOv4

A Caffe Re-Implementation of SENet

This is a highly separated deployment project based on Deepstream , including the full range of Yolo and continuously expanding deployment projects such as Ocr.

This is a code repository for pytorch c++ (or libtorch) tutorial.

YOLO v3, v4, v5, v6, v7 + SORT tracking + ROS platform. Supporting: YOLO with Darknet, OpenCV(DNN), OpenVINO, TensorRT(tkDNN). SORT supports python(original) and C++. (Not Deep SORT)