A unofficial pytorch implementation of PAN(PSENet2): Efficient and Accurate Arbitrary-Shaped Text Detection with Pixel Aggregation Network

Overview

Efficient and Accurate Arbitrary-Shaped Text Detection with Pixel Aggregation Network

Requirements

  • pytorch 1.1+
  • torchvision 0.3+
  • pyclipper
  • opencv3
  • gcc 4.9+

Download

PAN_resnet18_FPEM_FFM and PAN_resnet18_FPEM_FFM on icdar2015:

the updated model(resnet18:78.8,shufflenetv2: 72.4,lr:le-3) is not the best model

google drive

Data Preparation

train: prepare a text in the following format, use '\t' as a separator

/path/to/img.jpg path/to/label.txt
...

val: use a folder

img/ store img
gt/ store gt file

Train

  1. config the train_data_path,val_data_pathin config.json
  2. use following script to run
python3 train.py

Test

eval.py is used to test model on test dataset

  1. config model_path, img_path, gt_path, save_path in eval.py
  2. use following script to test
python3 eval.py

Predict

predict.py is used to inference on single image

  1. config model_path, img_path, in predict.py
  2. use following script to predict
python3 predict.py

The project is still under development.

Performance

ICDAR 2015

only train on ICDAR2015 dataset

Method image size (short size) learning rate Precision (%) Recall (%) F-measure (%) FPS
paper(resnet18) 736 x x x 80.4 26.1
my (ShuffleNetV2+FPEM_FFM+pse扩张) 736 1e-3 81.72 66.73 73.47 24.71 (P100)
my (resnet18+FPEM_FFM+pse扩张) 736 1e-3 84.93 74.09 79.14 21.31 (P100)
my (resnet50+FPEM_FFM+pse扩张) 736 1e-3 84.23 76.12 79.96 14.22 (P100)
my (ShuffleNetV2+FPEM_FFM+pse扩张) 736 1e-4 75.14 57.34 65.04 24.71 (P100)
my (resnet18+FPEM_FFM+pse扩张) 736 1e-4 83.89 69.23 75.86 21.31 (P100)
my (resnet50+FPEM_FFM+pse扩张) 736 1e-4 85.29 75.1 79.87 14.22 (P100)
my (resnet18+FPN+pse扩张) 736 1e-3 76.50 74.70 75.59 14.47 (P100)
my (resnet50+FPN+pse扩张) 736 1e-3 71.82 75.73 73.72 10.67 (P100)
my (resnet18+FPN+pse扩张) 736 1e-4 74.19 72.34 73.25 14.47 (P100)
my (resnet50+FPN+pse扩张) 736 1e-4 78.96 76.27 77.59 10.67 (P100)

examples

todo

  • MobileNet backbone

  • ShuffleNet backbone

reference

  1. https://arxiv.org/pdf/1908.05900.pdf
  2. https://github.com/WenmuZhou/PSENet.pytorch

If this repository helps you,please star it. Thanks.

Owner
zhoujun
深度学习工程师,最近准备做端侧
zhoujun
Pop-Out Motion: 3D-Aware Image Deformation via Learning the Shape Laplacian (CVPR 2022)

Pop-Out Motion Pop-Out Motion: 3D-Aware Image Deformation via Learning the Shape Laplacian (CVPR 2022) Jihyun Lee*, Minhyuk Sung*, Hyunjin Kim, Tae-Ky

Jihyun Lee 88 Nov 22, 2022
A PyTorch implementation of deep-learning-based registration

DiffuseMorph Implementation A PyTorch implementation of deep-learning-based registration. Requirements OS : Ubuntu / Windows Python 3.6 PyTorch 1.4.0

24 Jan 03, 2023
CLIP (Contrastive Language–Image Pre-training) trained on Indonesian data

CLIP-Indonesian CLIP (Radford et al., 2021) is a multimodal model that can connect images and text by training a vision encoder and a text encoder joi

Galuh 17 Mar 10, 2022
Configure SRX interfaces with Scrapli

Configure SRX interfaces with Scrapli Overview This example will show how to configure interfaces on Juniper's SRX firewalls. In addition to the Pytho

Calvin Remsburg 1 Jan 07, 2022
High performance distributed framework for training deep learning recommendation models based on PyTorch.

High performance distributed framework for training deep learning recommendation models based on PyTorch.

340 Dec 30, 2022
Annotate datasets with a semi-trained or fully trained YOLOv5 model

YOLOv5 Auto Annotator Annotate datasets with a semi-trained or fully trained YOLOv5 model Prerequisites Ubuntu =20.04 Python =3.7 System dependencie

Akash James 3 May 14, 2022
Code repository for EMNLP 2021 paper 'Adversarial Attacks on Knowledge Graph Embeddings via Instance Attribution Methods'

Adversarial Attacks on Knowledge Graph Embeddings via Instance Attribution Methods This is the code repository to accompany the EMNLP 2021 paper on ad

Peru Bhardwaj 7 Sep 25, 2022
PyTorch implementation of MulMON

MulMON This repository contains a PyTorch implementation of the paper: Learning Object-Centric Representations of Multi-object Scenes from Multiple Vi

NanboLi 16 Nov 03, 2022
ML course - EPFL Machine Learning Course, Fall 2021

EPFL Machine Learning Course CS-433 Machine Learning Course, Fall 2021 Repository for all lecture notes, labs and projects - resources, code templates

EPFL Machine Learning and Optimization Laboratory 1k Jan 04, 2023
Implementation of our NeurIPS 2021 paper "A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs".

PPO-BiHyb This is the official implementation of our NeurIPS 2021 paper "A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Grap

<a href=[email protected]"> 66 Nov 23, 2022
Code for Contrastive-Geometry Networks for Generalized 3D Pose Transfer

CGTransformer Code for our AAAI 2022 paper "Contrastive-Geometry Transformer network for Generalized 3D Pose Transfer" Contrastive-Geometry Transforme

18 Jun 28, 2022
Neural network for recognizing the gender of people in photos

Neural Network For Gender Recognition How to test it? Install requirements.txt file using pip install -r requirements.txt command Run nn.py using pyth

Valery Chapman 1 Sep 18, 2022
Amazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks

Amazon Forest Computer Vision Satellite Image tagging code using PyTorch / Keras Here is a sample of images we had to work with Source: https://www.ka

Mamy Ratsimbazafy 359 Jan 05, 2023
(AAAI 2021) Progressive One-shot Human Parsing

End-to-end One-shot Human Parsing This is the official repository for our two papers: Progressive One-shot Human Parsing (AAAI 2021) End-to-end One-sh

54 Dec 30, 2022
A python code to convert Keras pre-trained weights to Pytorch version

Weights_Keras_2_Pytorch 最近想在Pytorch项目里使用一下谷歌的NIMA,但是发现没有预训练好的pytorch权重,于是整理了一下将Keras预训练权重转为Pytorch的代码,目前是支持Keras的Conv2D, Dense, DepthwiseConv2D, Batch

Liu Hengyu 2 Dec 16, 2021
Implementations of polygamma, lgamma, and beta functions for PyTorch

lgamma Implementations of polygamma, lgamma, and beta functions for PyTorch. It's very hacky, but that's usually ok for research use. To build, run: .

Rachit Singh 24 Nov 09, 2021
Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.

HAWQ: Hessian AWare Quantization HAWQ is an advanced quantization library written for PyTorch. HAWQ enables low-precision and mixed-precision uniform

Zhen Dong 293 Dec 30, 2022
A highly efficient, fast, powerful and light-weight anime downloader and streamer for your favorite anime.

AnimDL - Download & Stream Your Favorite Anime AnimDL is an incredibly powerful tool for downloading and streaming anime. Core features Abuses the dev

KR 759 Jan 08, 2023
Model parallel transformers in Jax and Haiku

Mesh Transformer Jax A haiku library using the new(ly documented) xmap operator in Jax for model parallelism of transformers. See enwik8_example.py fo

Ben Wang 4.8k Jan 01, 2023
Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners

DART Implementation for ICLR2022 paper Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners. Environment

ZJUNLP 83 Dec 27, 2022