Reverse Dependencies of mmdet

The following projects have a declared dependency on mmdet:

• anime-face-detector — Anime Face Detector using mmdet and mmpose
• azureml-metrics — Contains the ML and non-Azure specific common code associated with AzureML metrics.
• comics-ocr — ComicsOCR is a Python package created for easily distributing OCR models trained for golden age of comics.
• composed-trackers — Trackres adapters and interfaces
• cvtk — Computer Vision Toolkit
• facechain — facechain
• libcom — Image Composition Toolbox
• MedicalMultitaskModeling — Multitask learning framework for medical data
• mlcvzoo-mmdetection — MLCVZoo MMDetection Package
• mlcvzoo-mmocr — MLCVZoo MMOCR Package
• mlcvzoo-mmrotate — MLCVZoo MMRotate Package
• mmagic — OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox
• mmcls — OpenMMLab Image Classification Toolbox and Benchmark
• mmdet3d — OpenMMLab's next-generation platformfor general 3D object detection.
• MMEdu — MMEdu originates from the domestic artificial intelligence visual algorithm integration framework OpenMMLab, and is a "out of the box" deep learning development tool.
• mmenot — ENOT Framework integration package for OpenMMLab codebase
• mmocr — OpenMMLab Text Detection, OCR, and NLP Toolbox
• mmpose — OpenMMLab Pose Estimation Toolbox and Benchmark.
• mmrotate — Rotation Detection Toolbox and Benchmark
• mmrotate-dev — Rotation Detection Toolbox and Benchmark
• mmtrack — OpenMMLab Unified Video Perception Platform
• mmyolo — OpenMMLab Toolbox of YOLO
• mmyolo-open — OpenMMLab Toolbox of YOLO
• modelscope — ModelScope: bring the notion of Model-as-a-Service to life.
• mvanet — no summary
• napari-organoid-counter — A plugin to automatically count lung organoids using Deep Learning.
• ocr-v — Modification on top of OpenMMLab Text Detection, OCR, and NLP Toolbox
• OpenBioSeq — Open Bio-sequence Toolbox for Supervision and Self-Supervision Learning
• openmixup — Mixup for Supervision, Semi- and Self-Supervision Learning Toolbox and Benchmark
• otx — OpenVINO™ Training Extensions: Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™
• otxdeploy — (Temp fork for PyPI packaging) OpenMMLab Model Deployment
• qai-hub-models — Models optimized for export to run on device.
• sahi — A vision library for performing sliced inference on large images/small objects
• sahi-fei — A vision library for performing sliced inference on large images/small objects
• t2iadapter — T2I-Adapter
• Tetra-Model-Zoo — Models optimized for export to run on device.
• torchok — The toolkit for fast Deep Learning experiments in Computer Vision