In the Crest catalog
laugh12321/TensorRT-YOLO
🚀 Easier & Faster YOLO Deployment Toolkit for NVIDIA 🛠️
- Stars
- 1.9K
- Forks
- 200
- Language
- C++
- Last push
- 44d ago
- Last release
- 11mo ago
Linked by the package’s own registry metadata.GitHub (opens in a new tab)
Package · PyPI
tensorrt-yolo
PyPI · v4.3.1 · GNU General Public License v3 (GPLv3)
Your YOLO Deployment Powerhouse. With the synergy of TensorRT Plugins, CUDA Kernels, and CUDA Graphs, experience lightning-fast inference speeds.
Technologies
Install
pip install tensorrt-yoloAdoption
- Adoption
- Not published by PyPI
- Not published
- Popularity
- Not published by PyPI
- Not published
- Dependents
- Not published by PyPI
- Not published
- Maintenance
- 0.14
- DerivedRelease cadence and recency, 0 to 1
- Releases per year
- 8.4
- 4 versions 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
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- 30 days
- Not published by PyPI
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- 90 days
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- 1 year
- Not published by PyPI
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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
- v4.3.1
- 4 versions
- First published
- APR 22, 2024
- Last release
- OCT 14, 2024
- 2y ago
- Licence
- GNU General Public License v3 (GPLv3)
Repository
Dependencies latest version · v4.3.1
Runtime 3
- loguruAny version
- opencv-pythonAny version
- rich-clickAny version
Related packages
- trtyolo-export🛠️ TensorRT-YOLO official exporter: one-click ONNX convert for TensorRT-YOLOPublished 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.