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refinenet-image-segmentation

a tensorflow implement of refinenet ,RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation

reinforce

reinforcement learning

reinforcejs

Reinforcement Learning Agents in Javascript (Dynamic Programming, Temporal Difference, Deep Q-Learning, Stochastic/Deterministic Policy Gradients)

reinforcement-learning-with-pytorch

Reinforcement learning with PyTorch, inspired by MorvanZhou, change the framework from Tensorflow to PyTorch

reinspect

End to end detection in crowded scenes

remove-stamp

使用GAN擦出文档印章 remove stamp by GAN

research-charnet

CharNet: Convolutional Character Networks

resnest

ResNeSt: Split-Attention Network

retina-unet

Retina blood vessel segmentation with a convolutional neural network

retinexnet

A Tensorflow implementation of RetinexNet

review-handwritten-signature-verification

Review the state of art works of handwritten signature verification works

rfcn-tensorflow

RFCN implementation in TensorFlow

rnnlib

Visual Studio 2013 port of Alex Graves's rnnlib found at http://sourceforge.net/projects/rnnl/

roc

plot ROC

roi-pooling

rolabelimg

Label Rotated Rect On Images for training

ros-eloquent-tensorflow-nvidia

rotnet

rpc

rrpn

Source code of RRPN ---- Arbitrary-Oriented Scene Text Detection via Rotation Proposals

rrpn_pytorch

RRPN in pytorch 1.0 ----- Arbitrary-Oriented Scene Text Detection via Rotation Proposals

sa-text

Pytorch implements SA-Text: Simple but Accurate Detector for Text of Arbitrary Shapes

samf

samf code

sar-strong-baseline-for-text-recognition

SAR: A Simple and Strong Baseline for Irregular Text Recognition

sar_tf

This is an implementation of Show, Attend and Read with tensorflow

satellite-image-object-detection

YOLO/YOLOv2 inspired deep network for object detection on satellite images (Tensorflow, Numpy, Pandas).

satrn

Official Tensorflow Implementation of SATRN (CVPR Workshop WTDDLE 2020)

savior

(WIP)The deployment framework aims to provide a simple, lightweight, fast integrated, pipelined deployment framework for RPA(Robot Process Automation) that ensures reliability, high concurrency and scalability of services.

sbb_pixelwise_segmentation

Pixelwise segmentation for document images

scanned-document-rotation-correction

The project creates the models and service API for predicting scanned document images' angles ranging between -90° to 90° from the vertical.