ultralytics / yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
https://docs.ultralytics.com
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conversion options #5058

Closed UnkoC0wbOy closed 3 years ago

UnkoC0wbOy commented 3 years ago

🚀 Feature

I suggest adding a model conversion feature so that users can convert their trained .pt model to another format such as ONNX, Tensorflow, or MLmodel.

CreateMLtools is the current method most people are having to use.

github-actions[bot] commented 3 years ago

👋 Hello @UnkoC0wbOy, thank you for your interest in YOLOv5 🚀! Please visit our ⭐️ Tutorials to get started, where you can find quickstart guides for simple tasks like Custom Data Training all the way to advanced concepts like Hyperparameter Evolution.

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Requirements

Python>=3.6.0 with all requirements.txt installed including PyTorch>=1.7. To get started:

$ git clone https://github.com/ultralytics/yolov5
$ cd yolov5
$ pip install -r requirements.txt

Environments

YOLOv5 may be run in any of the following up-to-date verified environments (with all dependencies including CUDA/CUDNN, Python and PyTorch preinstalled):

Status

CI CPU testing

If this badge is green, all YOLOv5 GitHub Actions Continuous Integration (CI) tests are currently passing. CI tests verify correct operation of YOLOv5 training (train.py), validation (val.py), inference (detect.py) and export (export.py) on MacOS, Windows, and Ubuntu every 24 hours and on every commit.

glenn-jocher commented 3 years ago

@UnkoC0wbOy YOLOv5 automatically exports to a variety of formats including CoreML, TFLite, ONNX using export.py. See Export tutorial below to get started.

YOLOv5 Tutorials

github-actions[bot] commented 3 years ago

👋 Hello, this issue has been automatically marked as stale because it has not had recent activity. Please note it will be closed if no further activity occurs.

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