Reverse Dependencies of opencv-python
The following projects have a declared dependency on opencv-python:
- cvu-python — Computer Vision deployment tools for dummies and experts.
- cvutil — Set of auxiliary scripts for computer vision tasks
- cvutils2 — no summary
- cwmungo — Extract crossword grids from images
- cxas — Segmentation of 159 anatomical classes for Chest X-Rays.
- CyberU — Your spider tool based on selenium and an even general platform based on Python.
- cycarla-backend — Backend for Cycarla
- cyfi — Estimate cyanobacteria density in small, inland water bodies using Sentinel-2 satellite imagery.
- cygnods — Small library to handle most frequent CYGNO dataset operations with python
- cythonimagetools — Provides functions (Cython - C) for color analysis in images, including finding unique colors, counting occurrences, and comparing images
- d3m-common-primitives — D3M common primitives
- dabox-project — The DABOX project
- dabox-research — Research repository for the DaBox project.
- dadmytestpipcv653426 — A small example package
- daiego43-rasptank — This is a clearer implementation of a library to interact with the Adeept rasptank robot. Pins are hardcoded
- daisykit — Deploy AI Systems Yourself (DAISY) Kit. DaisyKit Python is the wrapper of DaisyKit SDK, an easy AI framework for everyone.
- danbooru-utility — Utility for working with danbooru2018 dataset
- dandi — Command line client for interaction with DANDI archive elements
- danila — This is the module for detecting and classifying text on rama pictures
- danila-lib — This is the module for detecting and classifying text on rama pictures
- darfix — Computer vision software for the interpretation of diffraction images
- darkon — Performance hacking for your deep learning models
- darktable-lut-generator — Estimate a .cube 3D lookup table from camera images for the Darktable lut 3D module.
- data-gradients — DataGradients
- data-handler — A package for handling and structuring of data before training.
- data-management-demo — Data management solution demo
- data-science-toolkit — Data Science Toolkit (DST) is a Python library that helps implement data science related project with ease.
- datadreamer — A library for dataset generation and knowledge extraction from foundation computer vision models.
- DataEstimate — A package to calculate precision and recall about detection model
- dataflow-gegham-test — Snark Hub
- dataform — DataForm: Data processing and transformation tool.
- datagen-example-pypi — Datagen SDK
- datagen-tech — Datagen SDK
- datagym — Datagym Python API Wrapper
- dataloop-upipe — Micro Pipelines for Dataloop platform
- DataOCREnhanceMain — A toolkit for performing OCR (Optical Character Recognition) tasks
- dataquality — no summary
- dataset-image-annotator — Image annotation tool
- dataset-processor — A dataset preprocess toolkit
- dataset-shuffler — Data engineering tool for learning-based computer vision.
- dataset2database — Script for creating SQL files from video files
- datasetinsights — Synthetic dataset insights.
- DataShow — a tool for showing radar info
- datature — Python bindings for the Datature API
- DataXtractor — DataXtractor is a versatile Python library designed to simplify the extraction of valuable data from a variety of sources, including images and PDF documents. Whether you need to extract text, tables, or structured content, DataXtractor provides powerful and intuitive tools to streamline the process.
- datumaro — Dataset Management Framework (Datumaro)
- dcclab — A Python library to read, transform, manipulate images and manage databases
- ddd-dataset — Toolkit for Description Detection Dataset ($D^3$)
- ddmtools — A Python library for doing differential dynamic microscopy on polydisperse samples
- DDPCL — no summary
- ddtank-tw — A package used for writing ddtank game scripts.
- ddtcv — DDT CV.
- debayer-ohweier — Small toolkit to debayer and stack images.
- decaptcha — A GUI automation Python module for solving Google reCAPTCHA v2
- decimer — DECIMER 2.4.0: Deep Learning for Chemical Image Recognition using Efficient-Net V2 + Transformer
- decimer-segmentation — DECIMER Segmentation - Extraction of chemical structure depictions from scientific literature
- deda — tracking Dots Extraction, Decoding and Anonymisation toolkit
- dedoc-utils — Utils for automatic document images processing
- deduplidog — Yet another file deduplicator
- deep-data-profiler — The Deep Data Profilerlibrary provides tools for analyzing the internal decision structure of a trained deep neural network.
- deep-doors-2-labelled — Deep doors 2 labelled dataset
- deep-expressions — A Deep Learning toolkit for Facial Expressions Recognition (FER)
- deep-fine — an artificial neural network framework built from scratch using just Python and Numpy
- Deep-floorplan — Deep FloorPlan
- deep-image-matching — Multiview matching with deep-learning and hand-crafted local features for COLMAP and other SfM software.
- Deep-Learning-Plus — A collection of Python packages designed for the Python 3.9 for when you only want 1 import
- deep-utils — Deep Utils
- deep3d — deep learning for 3d
- deepchecks — Package for validating your machine learning model and data
- deepclustering — no summary
- deepd3 — A tool for segmenting dendrites and dendritic spines.
- deepdata — A general toolkit for deep learning dataset.
- deepdespeckling — Python Boilerplate contains all the boilerplate you need to create a Python package.
- deepface — A Lightweight Face Recognition and Facial Attribute Analysis Framework (Age, Gender, Emotion, Race) for Python
- deepfacey — A Lightweight Face Recognition and Facial Attribute Analysis Framework (Age, Gender, Emotion, Race) for Python
- deepforest — Tree crown prediction using deep learning retinanets
- DeepFuseNMF — Interpretable super-resolution dimension reduction of spatial transcriptomics data by DeepFuseNMF
- deepgeo-ext-yolo — deepgeo_ext_yolo
- deephub — no summary
- deepimage — a lightweight image object library
- deepliif — DeepLIIF: Deep-Learning Inferred Multiplex Immunofluorescence for Immunohistochemical Image Quantification
- deeplite-torch-zoo — The deeplite-torch-zoo package is a collection of popular pretrained deep learning models and their datasets for PyTorch framework.
- Deeplodocus — The Deep Learning framework keeping your head above water
- deeplot — a tool to visualize ML/AI/NN architectures
- deepmodels — framework for build, train and test deep learning models
- deepof — no summary
- deeppyer — Deepfry images in Python.
- deeppype — The AWS based Deep Learning Pipeline Framework
- deepracer-utils — A set of tools for working with DeepRacer training
- deeps-cibr — A deeps inference module.
- deepsafe — Deep learning aided movie content moderation tools.
- DeepSpectrum — no summary
- deepstack-sdk — DeepStack Python SDK
- deeptissueunet — no summary
- deepvac — PyTorch python project standard
- deepviewcore — Underwater images processing package made for DeepView project (University of La Laguna - Spain)
- deepvission-nightly — Python package for Deep Neural Netrwork Pre-trained Model testing.
- deepworm-algorithm — A set of algorithms for analysing worm image
- deepxube — Solving pathfinding problems in an explainable manner with deep learning, reinforcement learning, heuristic search, and logic
- defect-detection — API for defect detection in PCB and other components.