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

Training examples and results for ImageNet(ILSVRC2012)/CIFAR100/COCO2017/VOC2007+VOC2012 datasets.Image Classification/Object Detection.Include ResNet/EfficientNet/VovNet/DarkNet/RegNet/RetinaNet/FCOS/CenterNet/YOLOv3.

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

Convert JSON annotations into YOLO format.

Implementation of popular deep learning networks with TensorRT network definition API

Push-pull streaming and Web display of YOLO series

A High Level Python Library to empower students, developers to build applications and systems enabled with computer vision capabilities.

person detect based on yolov3 with several Python scripts

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

Classification with PyTorch.

PaddlePaddle End-to-End Development Toolkit（『飞桨』深度学习全流程开发工具）

Pytorch implementation of YOLOX、PPYOLO、PPYOLOv2、FCOS an so on.

No description or website provided.

using yolox+deepsort for object-tracking

Go bindings for Darknet (YOLO v4 / v3)

Object Detection API Tensorflow

Deep Learning Applications (Darknet - YOLOv3, YOLOv4 | DeOldify - Image Colorization, Video Colorization | Face-Recognition) with Google Colaboratory - on the free Tesla K80/Tesla T4/Tesla P100 GPU - using Keras, Tensorflow and PyTorch.

YOLOv3 in PyTorch > ONNX > CoreML > TFLite

php ffi darknet

Tool to evaluate deep-learning detection and segmentation models, and to create datasets

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

ODAM - Object detection and Monitoring

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

Tensorflow Faster RCNN for Object Detection

Pendeteksian rambu lalu lintas khas Indonesia menggunakan dataset custom dan menggunakan algoritma Deep Learning You Only Look Once v4

A Multi-Class Brain Tumor Classifier using Convolutional Neural Network with 99% Accuracy achieved by applying the method of Transfer Learning using Python and Pytorch Deep Learning Framework

This is an official implementation of CvT: Introducing Convolutions to Vision Transformers.

天池医疗AI大赛[第一季]：肺部结节智能诊断 UNet/VGG/Inception/ResNet/DenseNet

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

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

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

Unofficial PyTorch Reimplementation of RandAugment.

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

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

LUNA16-Lung-Nodule-Analysis-2016-Challenge

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

💥Make your yolov5 dataset by using labelimg.I hope my work can help you make your yolov5 datasets more quickly.

Implementation of EfficientNet model. Keras and TensorFlow Keras.

Sandbox for training deep learning networks

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.

Speech commands recognition with PyTorch

A lightweight convolutional neural network

Darknet2ncnn converts the darknet model to the ncnn model

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

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.

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

📈📈📈【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

FCOS: Fully Convolutional One-Stage Object Detection.

Address book for computer vision models.

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

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

PyTorch pipeline of MIT Driverless Computer Vision paper(2020)

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

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.

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

Scaled-YOLOv4: Scaling Cross Stage Partial Network