1223 Open source projects that are alternatives of or similar to Edgenets

Segmentation models (ERFNet, ENet, DeepLab, FCN...) and Lane detection models (SCNN, SAD, PRNet, RESA, LSTR...) based on PyTorch 1.6 with mixed precision training

Implementation of our paper "DMT: Dynamic Mutual Training for Semi-Supervised Learning"

Code, data and benchmark from the paper "Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming" (NeurIPS 2019 ML4AD)

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

PSPNet in Chainer

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

🎨 🎨 深度学习 卷积神经网络教程 ：图像识别，目标检测，语义分割，实例分割，人脸识别，神经风格转换，GAN等🎨🎨 https://dataxujing.github.io/CNN-paper2/

FrostNet: Towards Quantization-Aware Network Architecture Search

An extension of Open3D to address 3D Machine Learning tasks

Lacmus is a cross-platform application that helps to find people who are lost in the forest using computer vision and neural networks.

How to create custom COCO data set for object detection

35% faster than ResNet: Harmonic DenseNet, A low memory traffic network

Label images and video for Computer Vision applications

A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights

FaceBoxes for hand detection in PyTorch

This easy-to-use library splits images and its bounding box annotations into tiles, both into specific sizes and into any arbitrary number of equal parts. It can also resize them, both by specific sizes and by a resizing/scaling factor.

💳 Detecting the National Identification Cards with Deep Learning (Faster R-CNN)

YOLO3 动漫人脸检测 (Based on keras and tensorflow) 2019-1-19

Hierarchical perception library in Python for pose estimation, object detection, instance segmentation, keypoint estimation, face recognition, etc.

Review on Object Detection Metrics: 14 object detection metrics including COCO's and PASCAL's metrics. Supporting different bounding box formats.

PyTorch*-based Neural Network Compression Framework for enhanced OpenVINO™ inference

Experiments with UNET/FPN models and cityscapes/kitti datasets [Pytorch]

TensorFlow-based implementation of "Pyramid Scene Parsing Network".

AttaNet for real-time semantic segmentation.

Implementation details for EDANet

Photographic Image Synthesis with Cascaded Refinement Networks - Pytorch Implementation

[CVPR 2021] Forecasting the panoptic segmentation of future video frames

Pytorch code for semantic segmentation using ERFNet

Real-time object detection on Android using the YOLO network with TensorFlow

YOLO for object detection tasks

Keras implementation of yolo v3 object detection.

The ROS Package of Mask R-CNN for Object Detection and Segmentation

An open source framework for deep learning on satellite and aerial imagery.

Gluon CV Toolkit

Deep Learning sample programs using PyTorch in C++

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

Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch

Free to use online tool for labelling photos. https://makesense.ai

Object localization in images using simple CNNs and Keras

基于视频的目标检测算法研究

FCN for Semantic Image Segmentation achieving 68.5 mIoU on PASCAL VOC

Deep learning codes and projects using Python

ROS package for the Perception (Sensor Processing, Detection, Tracking and Evaluation) of the KITTI Vision Benchmark Suite

IAST: Instance Adaptive Self-training for Unsupervised Domain Adaptation (ECCV 2020) https://teacher.bupt.edu.cn/zhuchuang/en/index.htm

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.

Official PyTorch implementation of SegFormer

SOTA Semantic Segmentation Models in PyTorch

Official Detectron2 implementation of DA-RetinaNet of our Image and Vision Computing 2021 work 'An unsupervised domain adaptation scheme for single-stage artwork recognition in cultural sites'

mean Average Precision - This code evaluates the performance of your neural net for object recognition.

LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)

A PyTorch implementation of semantic segmentation according to Multi-Scale Context Aggregation by Dilated Convolutions by Yu and Koltun.

ShanghaiTech PLUS Lab Segmentation Toolbox and Benchmark

DeepLab-ResNet rebuilt in Pytorch

Convert between visual object detection datasets

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

Using a U-Net for image segmentation, blending predicted patches smoothly is a must to please the human eye.

Most popular metrics used to evaluate object detection algorithms.

Be Driven 🚘

Semantic segmentation task for ADE20k & cityscapse dataset, based on several models.