Reverse Dependencies of imgaug

The following projects have a declared dependency on imgaug:

• aicoe-donkeycar — Self driving library for python.
• aideml — Autonomous AI for Data Science and Machine Learning
• aiii-Javharbek — AIII
• airclick — airclick 相关python包
• anomalib — anomalib - Anomaly Detection Library
• anomalib-orobix — Orobix anomalib fork
• anyimage — no summary
• ascript — airclick 相关python包
• atlalign — Blue Brain multi-modal registration and alignment toolbox
• autoballs — Python package for segmentation of axons and morphological analysis.
• automatic-actions — Test lib for automatic actions.
• autoPyTorch — Auto-PyTorch searches neural architectures using smac
• axelerate — Keras-based framework for AI on the Edge
• bbaug — Bounding box augmentation for PyTorch with Google's Brain Team augmentation policies
• biapy — BiaPy: Bioimage analysis pipelines in Python
• biodetectron — Machine learning framework for biological image analysis.
• c2k — Acts as a keyboard by looking at your hands!
• can-show-you-anything-ai — no summary
• chitra — A multi functional library for full stack Deep Learning.
• codeforge — no summary
• comics-ocr — ComicsOCR is a Python package created for easily distributing OCR models trained for golden age of comics.
• cvpkgs-IGNchinmay — A small CV test package
• cvpkgs1-IGNchinmay — A small CV test package
• deepaugment — Discover augmentation strategies tailored for your data
• deepchecks — Package for validating your machine learning model and data
• deeplabcut — Markerless pose-estimation of user-defined features with deep learning
• deeplabcutcore — Headless DeepLabCut
• DeepMatter — Tool for machine learning in materials Science
• devolearn — Accelerate data driven research in developmental biology with deep learning models
• DigiPathAI — Deep Learning toolbox for WSI (digital histopatology) analysis
• DLPipeline — Platform for experimenting and Prototyping with Deeplearning.
• dnnlab — DnnLab
• doc2map — Beautiful and interactive visualisations for NLP Topics
• eDOCr — OCR for Engineering Mechanical Drawings
• EduRPA — education librabry for RPA
• edurpa-document — education librabry for RPA
• elvia-louvre-vision — elvia-louvre-vision Python package
• emojihunt — UVIC ECE471 Project Code for 2023
• fadoudou2 — Awesome OCR toolkits based on PaddlePaddle(8.6M ultra-lightweight pre-trained model, support training and deployment among server, mobile, embedded and IoT devices)
• fhailib — FH,FJ Vision AI SYSTEM LIB
• FireSpark — FireSpark data processing utility library
• flag-identification — Identify a flag by an image
• generate-training-data-ml — Great object detection results without spending a lot of time
• growingnn — growingnn is a cutting-edge Python package that introduces a dynamic neural network architecture learning algorithm. This innovative approach allows the neural network to adapt its structure during training, optimizing both weights and architecture. Leveraging a Stochastic Gradient Descent-based optimizer and guided Monte Carlo tree search, the package provides a powerful tool for enhancing model performance.
• high-vision — A Python Library for Computer Vision tasks like Object Detection, Segmentation, Pose Estimation etc
• histoclean — Histoclean (initial package setup)
• hover-net — HoVer-Net implementation fork
• icutil_IGNchinmay — A small CV test package
• image-augs — Image Augs supports Augmentation for Object Detection , Instance Segmentation and classification tasks.
• image-eht — image enhancement tool
• image-ocr — A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.
• imgaug-extension — Extension package for imgaug
• ismi-utils — ISMI Utilities
• jenga — Jenga is an open source experimentation library that allows data science practititioners and researchers to study the effect of common data corruptions (e.g., missing values, broken character encodings) on the prediction quality of their ML models.
• keras-ocr — A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.
• kwimage — The kwimage module
• lightning-pose — Semi-supervised pose estimation using pytorch lightning
• logodetect — One-shot logo detection for videos and images.
• ml-workflow — Pytorch project template and required tools
• mmaction2 — OpenMMLab Video Understanding Toolbox and Benchmark
• mmocr — OpenMMLab Text Detection, OCR, and NLP Toolbox
• modelscope — ModelScope: bring the notion of Model-as-a-Service to life.
• musket-core — The core of Musket ML
• nn-toolbox — A toolbox for common deep learning procedures
• nomeroff-net — Automatic numberplate recognition system
• nunet — NU-Net
• ocr-v — Modification on top of OpenMMLab Text Detection, OCR, and NLP Toolbox
• openav — OpenAV
• otxmmaction2 — OpenMMLab Video Understanding Toolbox and Benchmark
• paddleocr — Awesome OCR toolkits based on PaddlePaddle(8.6M ultra-lightweight pre-trained model, support training and deployment among server, mobile, embedded and IoT devices)
• paddleocrWordLevelDetection — Awesome OCR toolkits based on PaddlePaddle （8.6M ultra-lightweight pre-trained model, support training and deployment among server, mobile, embeded and IoT devices
• percato — Farsi data generator and an OCR tool for Farsi using Detectron2
• perception — Perception provides flexible, well-documented, and comprehensively tested tooling for perceptual hashing research, development, and production use.
• pero-ocr — Toolkit for advanced OCR of poor quality documents
• pixellib — PixelLib is a library used for easy implementation of semantic and instance segmentation of objects in images and videos with few lines of code.PixelLib makes it possible to train a custom segmentation model using few lines of code.PixelLib supports background editing of images and videos using few lines of code.
• plastic-origins — A package containing methods commonly used to make inferences
• pyaidoop-dl-models — AIdoop web-based platfrom library for robot application platform, AIdoop-R
• pyclay-common-utils — Common utilities for convenience.
• pyDSlib — General utilities to streamline data science and machine learning routines in python
• pytorchyolo — Minimal PyTorch implementation of YOLO
• runml-checks — Package for validating your machine learning model and data
• scmvae — a comprehensive single-cell multimodal analysis python package based on mixed variational autoencoder
• scoutbot — The computer vision for Wild Me's Scout project
• Simba-UW-no-tf — Toolkit for computer classification of complex social behaviors in experimental animals
• Simba-UW-tf — Toolkit for computer classification of complex social behaviors in experimental animals
• Simba-UW-tf-dev — Toolkit for computer classification of complex social behaviors in experimental animals
• SiriusN16CXRseg — Проект по сегментации легких.
• sleap — SLEAP (Social LEAP Estimates Animal Poses) is a deep learning framework for animal pose tracking.
• sputummrcnn — Custom Mask RCNN
• supervisely — Supervisely Python SDK.
• synthtiger — Synthetic text image generator for OCR model
• textaug — Text Image Augmentor: data generator for text recognition
• toddleocr — Awesome OCR toolkits based on Torch （8.6M ultra-lightweight pre-trained model, support training and deployment among server, mobile, embedded and IoT devices
• torch-snippets — One line functions for common tasks
• torchcommon — Pytorch common utilities.
• trial-IGNchinmay — A small CV test package
• ttAugment — Test Time Augmentations
• ucr — Universal Character Recognizer (UCR): Simple, Intuitive, Extensible, Multi-Lingual OCR engine
• ultrayolo — tensorflow 2 implemetation of yolo 3 with backbone extensions
• unstructured.paddleocr — Awesome OCR toolkits based on PaddlePaddle （8.6M ultra-lightweight pre-trained model, support training and deployment among server, mobile, embeded and IoT devices