pythonfix
mmdet 3.3.0
OpenMMLab Detection Toolbox and Benchmark
OpenMMLab Detection Toolbox and Benchmark
Stars: 27877, Watchers: 27877, Forks: 9203, Open Issues: 1554The open-mmlab/mmdetection repo was created 5 years ago and the last code push was 14 minutes ago.
The project is extremely popular with a mindblowing 27877 github stars!
How to Install mmdet
You can install mmdet using pip
pip install mmdet
or add it to a project with poetry
poetry add mmdet
Package Details
- Author
- MMDetection Contributors
- License
- Apache License 2.0
- Homepage
- https://github.com/open-mmlab/mmdetection
- PyPi:
- https://pypi.org/project/mmdet/
- GitHub Repo:
- https://github.com/open-mmlab/mmdetection
Classifiers
Related Packages
Errors
A list of common mmdet errors.
Code Examples
Here are some mmdet code examples and snippets.
GitHub Issues
The mmdet package has 1554 open issues on GitHub
- How to export model to onnx without post-processing
- The code may have some bugs
- [CodeCamp2023-489]Add new configuration files for htc in mmdetection
- AttributeError: 'int' object has no attribute 'type'
- [CodeCamp2023-500]add large_image_demo
- There is a misspelling in test_time_augs/merge_augs.py
- [CodeCamp2023-476]Add new configuration files for QDTrack algorithm in mmdetection
- [bug] one of the variables needed for gradient computation has been modified by an inplace operation
- [MMdetection 2] How to apply data augmentation in test_data ?
- Support OneFormer
- Update multi_source_sampler.py
- About the iou of rtmdet
- Update Instance segmentation Tutorial
- How to use MMdetection3.0 to train one's own grayscale image data？
- Features/foggy cityscapes oracle
Related Packages & Articles
ultralytics 8.2.9
Ultralytics YOLOv8 for SOTA object detection, multi-object tracking, instance segmentation, pose estimation and image classification.
neuralforecast 1.7.1
Time series forecasting suite using deep learning models
timm 0.9.16
PyTorch Image Models
nncf 2.10.0
Neural Networks Compression Framework
autogluon 1.1.0
Fast and Accurate ML in 3 Lines of Code
autogluon.core 1.1.0
Fast and Accurate ML in 3 Lines of Code
transformers 4.40.1
State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow
stardist 0.9.1
StarDist is a Python package designed for object detection with star-convex shapes, particularly useful in microscopy. It provides implementations for both 2D and 3D images and uses a model trained to predict distances to the object boundary along fixed rays and object probabilities. These predictions produce an overcomplete set of candidate polygons for a given image, with the final result obtained via non-maximum suppression.
StarDist is compatible with Python 3.6 to 3.10, requires TensorFlow, and provides pre-trained models for 2D images and example workflows via Jupyter notebooks, making it a versatile tool for cell detection and segmentation in microscopy.
detectors 0.1.11
This is a comprehensive library for generalized Out-of-Distribution (OOD) detection research. It provides over 20 detection methods, evaluation pipelines, OOD datasets, and model architectures integrated with timm. Additionally, it offers fast OOD evaluation metrics, multi-layer detection methods, and pipelines for open set recognition and covariate drift detection.