867 Open source projects that are alternatives of or similar to Tf Faster Rcnn

High level network definitions with pre-trained weights in TensorFlow

SimpleAICV:pytorch training example on ImageNet(ILSVRC2012)/COCO2017/VOC2007+2012 datasets.Include ResNet/DarkNet/RetinaNet/FCOS/CenterNet/TTFNet/YOLOv3/YOLOv4/YOLOv5/YOLOX.

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

Simpler app for tensorflow object detection API

This repository allows you to get started with a gui based training a State-of-the-art Deep Learning model with little to no configuration needed! NoCode training with TensorFlow has never been so easy.

Computer vision tools for fairseq, containing PyTorch implementation of text recognition and object detection

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

🍅 Deploy NCNN on mobile phones. Support Android and iOS. 移动端NCNN部署，支持Android与iOS。

Convert any classification model or architecture trained in keras to an object detection model

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

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Build fully-functioning computer vision models with PyTorch

Computer vision based ML training data generation tool 🚀

A mobilenet SSD based face detector, powered by tensorflow object detection api, trained by WIDERFACE dataset.

I transfer the backend of yolov3 into Mobilenetv1，VGG16，ResNet101 and ResNeXt101

FCOS: Fully Convolutional One-Stage Object Detection.

Steps to reproduce training results for the paper Driving in the Matrix: Can Virtual Worlds Replace Human-Generated Annotations for Real World Tasks?

Detect traffic lights and classify the state of them, then give the commands "go" or "stop".

Boundary-preserving Mask R-CNN (ECCV 2020)

Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch

Object detection with multi-level representations generated from deep high-resolution representation learning (HRNetV2h).

FoveaBox: Beyond Anchor-based Object Detector

Video Platform for Action Recognition and Object Detection in Pytorch

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.

Deep learning codes and projects using Python

Code used to generate synthetic scenes and bounding box annotations for object detection. This was used to generate data used in the Cut, Paste and Learn paper

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

Image Captions Generation with Spatial and Channel-wise Attention

This repository allows you to get started with training a state-of-the-art Deep Learning model with little to no configuration needed! You provide your labeled dataset or label your dataset using our BMW-LabelTool-Lite and you can start the training right away and monitor it in many different ways like TensorBoard or a custom REST API and GUI. NoCode training with YOLOv4 and YOLOV3 has never been so easy.

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)

Two-stage CenterNet

NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection.

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

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

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

An image recognition/object detection model that detects handwritten digits and simple math operators. The output of the predicted objects (numbers & math operators) is then evaluated and solved.

Serve machine learning models using tensorflow serving

Hands on Imagenet training. Unofficial ModelZoo project on Pytorch. MobileNetV3 Top1 75.64🌟 GhostNet1.3x 75.78🌟

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

🙄 Difficult algorithm, Simple code.

No description or website provided.

TensorFlow implementation of Faster RCNN for Object Detection

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.

Face detection using deep learning.

[S+SSPR2020] IterDet: Iterative Scheme for Object Detection in Crowded Environments

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

Automatic Number (License) Plate Recognition using Tensorflow Object Detection API

Deep Learning toolkit for Computer Vision.

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

Object detection on multiple datasets with an automatically learned unified label space.

An easy implementation of Faster R-CNN (https://arxiv.org/pdf/1506.01497.pdf) in PyTorch.

Neural network model repository for highly sparse and sparse-quantized models with matching sparsification recipes

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

End-to-End Object Detection Framework - Pluggable to any Training Library: Fastai, Pytorch-Lightning with more to come

Reference implementation for Blueprint Separable Convolutions (CVPR 2020)

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

Object localization in images using simple CNNs and Keras

OpenMMLab Detection Toolbox and Benchmark

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

A list of popular deep learning models related to classification, segmentation and detection problems