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Why i can't use ultralytics.yolo #12675

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cbt12123 opened this issue May 14, 2024 · 2 comments
Open
1 task

Why i can't use ultralytics.yolo #12675

cbt12123 opened this issue May 14, 2024 · 2 comments
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@cbt12123
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cbt12123 commented May 14, 2024

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I want to use torch-prune after training my model by yolov8,but i found i can't import ultralytics.yolo like this:from ultralytics.yolo.engine.model import TASK_MAP
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@cbt12123 cbt12123 added the question Further information is requested label May 14, 2024
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👋 Hello @cbt12123, thank you for your interest in Ultralytics YOLOv8 🚀! We recommend a visit to the Docs for new users where you can find many Python and CLI usage examples and where many of the most common questions may already be answered.

If this is a 🐛 Bug Report, please provide a minimum reproducible example to help us debug it.

If this is a custom training ❓ Question, please provide as much information as possible, including dataset image examples and training logs, and verify you are following our Tips for Best Training Results.

Join the vibrant Ultralytics Discord 🎧 community for real-time conversations and collaborations. This platform offers a perfect space to inquire, showcase your work, and connect with fellow Ultralytics users.

Install

Pip install the ultralytics package including all requirements in a Python>=3.8 environment with PyTorch>=1.8.

pip install ultralytics

Environments

YOLOv8 may be run in any of the following up-to-date verified environments (with all dependencies including CUDA/CUDNN, Python and PyTorch preinstalled):

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Ultralytics CI

If this badge is green, all Ultralytics CI tests are currently passing. CI tests verify correct operation of all YOLOv8 Modes and Tasks on macOS, Windows, and Ubuntu every 24 hours and on every commit.

@glenn-jocher
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@cbt12123 hello! It looks like you're trying to import a module in a way that isn't supported by the current structure of the Ultralytics YOLO repository. Instead of using from ultralytics.yolo.engine.model import TASK_MAP, you should use the following import statement:

from ultralytics import YOLO

After importing the YOLO class, you can load your model and access various functionalities provided by the YOLOv8 API. If you need to perform operations like pruning, you might need to work directly with the underlying PyTorch model, which can be accessed via:

model = YOLO('path/to/your/model.pt')
torch_model = model.model  # This is the PyTorch model

From there, you can apply torch-prune or other PyTorch-based operations. If you have further questions or run into issues, feel free to ask! 🚀

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