6362 Open source projects that are alternatives of or similar to Pytorchnethub

Traffic Sign Detection. Code for the paper entitled "Evaluation of deep neural networks for traffic sign detection systems".

convert mmdetection model to tensorrt, support fp16, int8, batch input, dynamic shape etc.

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

An iOS application of Tensorflow Object Detection with different models: SSD with Mobilenet, SSD with InceptionV2, Faster-RCNN-resnet101

Combining Faster R-CNN and U-net for efficient medical image segmentation

计算机视觉相关论文整理、记录、分享; 包括图像分类、目标检测、视觉跟踪/目标跟踪、人脸识别/人脸验证、OCR/场景文本检测及识别等领域。欢迎加星,欢迎指正错误,同时也期待能够共同参与！！! 持续更新中... ...

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

3D U-Net model for volumetric semantic segmentation written in pytorch

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

People removal in images using Pix2Pix and YOLO.

코딩셰프의 3분 딥러닝, 케라스맛

A pytorch Implementation of classical object detection.

Physical adversarial attack for fooling the Faster R-CNN object detector

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

High-performance multiple object tracking based on YOLO, Deep SORT, and optical flow

Train a state-of-the-art yolov3 object detector from scratch!

Single Shot MultiBox Detector in TensorFlow

A Conversion tool to convert YOLO v3 Darknet weights to TF Lite model (YOLO v3 PyTorch > ONNX > TensorFlow > TF Lite), and to TensorRT (YOLO v3 Pytorch > ONNX > TensorRT).

Compare FasterRCNN,Yolo,SSD model with the same dataset

State-of-the-art Single Shot MultiBox Detector in Pure TensorFlow, QQ Group: 758790869

简明 SSD 目标检测模型 keras version（交通标志识别 训练部分见 dev 分支）

YoloV3 Implemented in Tensorflow 2.0

RectLabel - An image annotation tool to label images for bounding box object detection and segmentation.

Develop production ready deep learning code, deploy it and scale it

A Transfer Learning based Object Detection API that detects all objects in an image, video or live webcam. An SSD model and a Faster R-CNN model was pretrained on Mobile net coco dataset along with a label map in Tensorflow. This model were used to detect objects captured in an image, video or real time webcam. Open CV was used for streaming obj…

This program detect and identify obstacle on railway. If program detect some obstacle that train must stop, program gives you warning sign. This program Also estimate riskiness of obstacle how it is negligible or not. We provide many models to you to detect railways and obstacles.

Code for training py-faster-rcnn and py-R-FCN on multiple GPUs in caffe

A simplified implemention of Faster R-CNN that replicate performance from origin paper

Human segmentation models, training/inference code, and trained weights, implemented in PyTorch

Kaggle Data Science Bowl 2018

High level network definitions with pre-trained weights in TensorFlow

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

Simpler app for tensorflow object detection API

code for py-R-FCN-multiGPU maintained by bupt-priv

OpenMMLab Detection Toolbox and Benchmark

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

Simple PyTorch implementations of U-Net/FullyConvNet (FCN) for image segmentation

Creating a software for automatic monitoring in online proctoring

Training Toolbox for Caffe

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

Tensorflow 2 implementation of complete pipeline for multiclass image semantic segmentation using UNet, SegNet and FCN32 architectures on Cambridge-driving Labeled Video Database (CamVid) dataset.

从零开始学习YOLOv3教程解读代码+注意力模块(SE,SPP,RFB etc)

This is a tensorflow re-implementation of Faster R-CNN: Towards Real-Time ObjectDetection with Region Proposal Networks.

🙄 Difficult algorithm, Simple code.

A real-time object detection app based on lightDenseYOLO Our lightDenseYOLO is the combination of two components: lightDenseNet as the CNN feature extractor and YOLO v2 as the detection module

YOLOv3 implementation in TensorFlow 2.3.1

unet for image segmentation

[NeurIPS 2020] This project provides a strong single-stage baseline for Long-Tailed Classification, Detection, and Instance Segmentation (LVIS). It is also a PyTorch implementation of the NeurIPS 2020 paper 'Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect'.

Implementation of various topic models

Notebook example of how to generate class visualizations with Caffe

Deep face recognition with Keras, Dlib and OpenCV

Convolutional neural networks for artistic style transfer.

Best Practices and Style Guides in BEEVA

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Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations

阿水的数据竞赛开源分支

Python Script to access ATT&CK content available in STIX via a public TAXII server

cs231n training camp