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pytorch-yolov3

Minimal PyTorch implementation of YOLOv3

raster-deep-learning

ArcGIS built-in python raster functions for deep learning to get you started fast.

refinenet

RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation

road-detection-and-tracking

Involves the OpenCV based C++ implementation to detect and track roads for almost realtime performance

road_connectivity

Improved Road Connectivity by Joint Learning of Orientation and Segmentation (CVPR2019)

roadtracer

rolabelimg

Label Rotated Rect On Images for training

sar-ship-dataset

sat2graph

Sat2Graph: Road Graph Extraction through Graph-Tensor Encoding

satellite-segmentation

seetaface2

SeetaFace 2: open source, full stack face recognization toolkit.

segmentation_models.pytorch

Segmentation models with pretrained backbones. PyTorch.

semantic-segmentation-pytorch

Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset

simple-faster-rcnn-pytorch

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

tensorrtx

Implementation of popular deep learning networks with TensorRT network definition API

trackingnet-devkit

Development kit for TrackingNet

vecroad

The official repo of the CVPR 2020 paper "VecRoad: Point-based Iterative Graph Exploration for Road Graphs Extraction"

yolo_mark

GUI for marking bounded boxes of objects in images for training neural network Yolo v3 and v2

yolov5

YOLOv5 in PyTorch > ONNX > CoreML > iOS

yolov7

🔥🔥🔥🔥 YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! 🔥🔥🔥

yolox

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/