A pytorch solution that patchifies your image!

This is the official repository to the WACV 2021 paper "Same Same But DifferNet: Semi-Supervised Defect Detection with Normalizing Flows" by Marco Rudolph, Bastian Wandt and Bodo Rosenhahn.

An implementation of 1D, 2D, and 3D positional encoding in Pytorch and TensorFlow

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

Code for NeurIPS 2022 paper "SoftKernel: Unsupervised Anomaly Detection with Noisy Data"

This is a toolbox for Deep Active Learning, an extension from previous work https://github.com/ej0cl6/deep-active-learning (DeepAL toolbox).

This is the code to the WACV 2023 paper "Asymmetric Student-Teacher Networks for Industrial Anomaly Detection" by Marco Rudolph, Tom Wehrbein, Bodo Rosenhahn and Bastian Wandt.

Project for <SPot-the-Difference Self-Supervised Pre-training for Anomaly Detection and Segmentation> (ECCV 2022)

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Datasets, Transforms and Models specific to Computer Vision

PyTorch/TorchScript/FX compiler for NVIDIA GPUs using TensorRT

📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.

nannyml: post-deployment data science in python

Framework for Easily Invertible Architectures

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…

YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

CRAFT(Baek et al., 2019) model training code

OpenMMLab Detection Toolbox and Benchmark

Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

A tensorflow implementation of EAST text detector

Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and…

Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

Official implementation of Character Region Awareness for Text Detection (CRAFT)

A scene text recognition toolbox based on PyTorch

Code for generating synthetic text images as described in "Synthetic Data for Text Localisation in Natural Images", Ankush Gupta, Andrea Vedaldi, Andrew Zisserman, CVPR 2016.

Text recognition (optical character recognition) with deep learning methods, ICCV 2019

A synthetic data generator for text recognition