In the Crest catalog
open-mmlab/mmdetection
OpenMMLab Detection Toolbox and Benchmark
- Stars
- 33K
- Forks
- 9.8K
- Language
- Python
- Last push
- 2y ago
- Last release
- 3y ago
Linked by the package’s own registry metadata.GitHub (opens in a new tab)
Package · PyPI
mmdet-open
PyPI · v3.3.0 · Apache License 2.0
OpenMMLab Detection Toolbox and Benchmark
Tentative categories were assigned with moderate confidence (0.5 to 0.75): they are shown, but they do not count toward a category’s momentum. How categories work
Technologies
Install
pip install mmdet-openAdoption
- Adoption
- Not published by PyPI
- Not published
- Popularity
- Not published by PyPI
- Not published
- Dependents
- Not published by PyPI
- Not published
- Maintenance
- 0.06
- DerivedRelease cadence and recency, 0 to 1
- Releases per year
- 365
- 1 version over its life
Growth by period
PyPI publishes no adoption figure, so there is no growth to derive. Nothing is estimated in its place.
- 7 days
- Not published by PyPI
- Not published
- 30 days
- Not published by PyPI
- Not published
- 90 days
- Not published by PyPI
- Not published
- 1 year
- Not published by PyPI
- Not published
Adoption history
Adoption history
PyPI publishes no adoption count, so there is no history to chart. That is a fact about the registry, not a gap in ours: the package’s releases and maintenance are measured instead.
Facts from the registry
- Latest version
- v3.3.0
- 1 version
- First published
- JUL 19, 2024
- Last release
- JUL 19, 2024
- 2y ago
- Licence
- Apache License 2.0
Repository
Dependencies latest version · v3.3.0
Runtime 8
- matplotlibAny version
- numpyAny version
- pycocotoolsAny version
- scipyAny version
- shapelyAny version
- sixAny version
- terminaltablesAny version
- tqdmAny version
Related packages
- avi-mmdetCustom OpenMMLab Detection Toolbox and BenchmarkPublished from the same repository
- mmdetOpenMMLab Detection Toolbox and BenchmarkPublished from the same repository
- inference-sdkWith no prior knowledge of machine learning or device-specific deployment, you can deploy a computer vision model to a range of devices and environments using Roboflow Inference.Same primary category
- inference-gpuWith no prior knowledge of machine learning or device-specific deployment, you can deploy a computer vision model to a range of devices and environments using Roboflow Inference.Same primary category
- inference-cpuWith no prior knowledge of machine learning or device-specific deployment, you can deploy a computer vision model to a range of devices and environments using Roboflow Inference.Same primary category
- inference-coreWith no prior knowledge of machine learning or device-specific deployment, you can deploy a computer vision model to a range of devices and environments using Roboflow Inference.Same primary category
- inference-cliWith no prior knowledge of machine learning or device-specific deployment, you can deploy a computer vision model to a range of devices and environments using Roboflow Inference CLI.Same primary category
- inferenceWith no prior knowledge of machine learning or device-specific deployment, you can deploy a computer vision model to a range of devices and environments using Roboflow Inference.Same primary category
Related news
No published news event mentions this package or its repository yet.