Comments (7)
To solve the issue I did this:
- git clone https://github.com/THU-MIG/yolov10.git
- cd yolov10
- pip install .
Now try:
from ultralytics import YOLOv10
also, I had previously installed
- pip install huggingface huggingface_hub, in case the huggingface_hub error comes up
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👋 Hello @mrortach, 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):
- Notebooks with free GPU:
- Google Cloud Deep Learning VM. See GCP Quickstart Guide
- Amazon Deep Learning AMI. See AWS Quickstart Guide
- Docker Image. See Docker Quickstart Guide
Status
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.
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@mrortach hi there,
I'm sorry to hear that the solution didn't work for you. Could you please provide more details about the steps you followed and any error messages you received? This information will help us better understand the issue and assist you more effectively.
Looking forward to your response!
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I watched this video and got stuck while trying to test it in real-time. I think I trained it incorrectly, so I'm retraining according to the video, and then I will test it again.
https://www.youtube.com/watch?v=29tnSxhB3CY&lc=Ugx_VAIr6rnql3azjEB4AaABAg.A48IvOrFodXA48QhHgX88q
from ultralytics import YOLOv10
ImportError: cannot import name 'YOLOv10' from 'ultralytics'
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Hello @mrortach,
It seems like there's a misunderstanding regarding the available models. Currently, YOLOv10 is not a part of the Ultralytics YOLO series. Our latest version is YOLOv8, which you can use for real-time object detection tasks.
Please ensure you're using the correct model name in your import statement. For example, if you're working with YOLOv8, you should use:
from ultralytics import YOLO
model = YOLO('yolov8n.pt') # Load a pretrained YOLOv8n model
Retraining your model as per the guidance in the video is a good step. Make sure to follow the training instructions closely to optimize your model's performance.
If you have any more questions or need further assistance, feel free to ask. Happy coding! 😊
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I just wanted to test YOLOv10 and I followed the steps in the video and the problem was solved.
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@RATHOD-SHUBHAM hello,
Thank you for sharing your solution with the community! It's great to see you've successfully resolved the issue by cloning the YOLOv10 repository and handling the dependencies. Your detailed steps will definitely help others who might encounter similar issues.
If you have any more questions or insights as you continue working with the model, feel free to share them here!
Happy coding! 😊
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Related Issues (20)
- KeyError When Customization to YOLOv8 Model: HOT 11
- YOLOv10 export: Setting simplify=True raise exception HOT 7
- TensorFlow & tflite Export Not Working HOT 6
- Different result between v8.1.2 and v8.2 on same dataset HOT 6
- RT-DETR load other pretrained weights HOT 2
- broken hub link HOT 1
- GFLOPs value not showing in summary HOT 6
- How to Optimize YOLOv8 Preprocessing and Postprocessing Time? HOT 3
- On the issue of adding a CBAM attention mechanism HOT 1
- On the issue of adding a CBAM attention mechanism HOT 1
- YOLOv8 Inference Time Increases from Stable 1ms to 15ms over Continuous Runs HOT 1
- Filter small objects when validating HOT 2
- Integration of SCINet with YOLOv8 for Low-Light Object Detection HOT 9
- YOLOV8 and ONNX Support HOT 1
- custom dataset trained model not able to be open in yolov8 HOT 3
- The value of the model.val is incorrect HOT 6
- Metrics drop during new training (after completion of initial training) HOT 1
- yolov8 keypoint model predicting 0,0 for some skeleton points in response object but directly plotting works as expected on m1 AND colab notebook. HOT 4
- box bug HOT 4
- Redundant Redundant detection boxes in YOLOv10 without NMS HOT 6
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