Comments (4)
π Hello @czy10383, thank you for your interest in Ultralytics YOLOv8 π! 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 π Bug Report, please provide a minimum reproducible example to help us debug it.
If this is a custom training β 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.
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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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@czy10383 hello! Thank you for the detailed report and the suggested fix for the ValueError
you encountered with the YOLOv8 OpenCV-int8-tflite example. Your approach to adjust the data type to INT8 by scaling and adding the zero point is correct for handling quantized models.
We appreciate your contribution to improving the example code. If you're willing, you can directly contribute by submitting a pull request with your proposed changes. This would be a great help to the community, ensuring that others do not encounter the same issue.
If you prefer not to submit a PR, we'll review the issue internally and update the example accordingly.
Thank you again for your input and for using Ultralytics YOLOv8! π
from ultralytics.
@glenn-jocher thank you for the confirmation. I have submitted a PR, thank you :)
from ultralytics.
@czy10383, thank you for submitting the PR! We appreciate your contribution to improving the project. The team will review it shortly. ππ
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Related Issues (20)
- Changing the C2f block fixes the pruning but how can I make it work with its own architecture? HOT 1
- Picking instance segmentation in roboflow for yolov8-obb HOT 5
- Yolo v10 is slower than v8? HOT 9
- Error message when export tensorrt in Jetpack 4 docker container. HOT 4
- yolov8 with multi cameras (using only CPU) HOT 5
- GPU memory usage issue
- how can I predict when my ch >4 HOT 1
- what's the meaning of (40 CPUs, 502.2 GB RAM, 15.6/18.3 GB disk)? HOT 1
- Can not export yolov10 model to paddlepaddle HOT 2
- Yolov8 loads other datasets HOT 1
- When converting an ONNX model to an OM model on the Orange Pi, an input_shape error occurs HOT 4
- Training Abnormality HOT 5
- Can I convolve in different ways for different epochs HOT 1
- Pytorch install in jetson tx2 HOT 4
- YOLOv8 export TensorRt INT8 format βdynamic axes will be enabled by default when exporting with int8=True even when not explicitly setβ HOT 4
- error of YOLOv8-P2-OBB HOT 3
- Visualize data augmentation HOT 1
- Yolo-world training from scratch HOT 6
- The model converted to coreml format always shows confidence 1.0 HOT 4
- Error: βNoneTypeβ object is not callable during YOLOv8 Classification Training with Multi-GPU HOT 4
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