Comments (5)
👋 Hello @MaxwellFB, 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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Hi there! 😊
- ByteTrack Version: Ultralytics uses the default ByteTrack configuration as specified in the
bytetrack.yaml
file. - Custom ByteTrack Weights: To use your custom ByteTrack weights, you can modify the
tracker
argument in your tracking command. Here's an example:
from ultralytics import YOLO
# Load your custom model
model = YOLO('path/to/your/custom_model.pt')
# Use custom ByteTrack weights
results = model.track(source='path/to/your/video.mp4', tracker='path/to/your/custom_bytetrack.yaml')
Feel free to reach out if you have more questions! 🚀
from ultralytics.
Hi!
I tried to change .yaml to use a custom ByteTrack pth, but returned "AssertionError: Only 'bytetrack' and 'botsort' are supported for now, but got 'bytetrack_x_mot17.pth'". Looks like it is not possible by Ultralytics, I will do it manual. Thank you!
from ultralytics.
@MaxwellFB got it! Good luck with your implementation, and feel free to visit https://docs.ultralytics.com/modes/track/ for more information on tracking.
from ultralytics.
👋 Hello there! We wanted to give you a friendly reminder that this issue has not had any recent activity and may be closed soon, but don't worry - you can always reopen it if needed. If you still have any questions or concerns, please feel free to let us know how we can help.
For additional resources and information, please see the links below:
- Docs: https://docs.ultralytics.com
- HUB: https://hub.ultralytics.com
- Community: https://community.ultralytics.com
Feel free to inform us of any other issues you discover or feature requests that come to mind in the future. Pull Requests (PRs) are also always welcomed!
Thank you for your contributions to YOLO 🚀 and Vision AI ⭐
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Related Issues (20)
- Read the relevant data without the issue of images. HOT 10
- How to use the RTDETR model to train OBB tasks? HOT 9
- AttributeError: 'YOLOv10DetectionModel' object has no attribute 'args', when trying to access to v10DetectLoss. HOT 1
- About WARNING ⚠️ HOT 2
- Is that possible to move YOLOModel initialize predicting to GPU? HOT 2
- can I finetune YOLOV8-pose with a dataset without keypoints HOT 1
- How to use my own yolov8 model in the sagemaker? HOT 1
- Integrating a GAN into YOLOv8 Architecture HOT 3
- About DDP training HOT 16
- Yolov8 training crashing after installing CUDA and cudnn HOT 3
- Exporting yolov10n.pt int8 does not appear to fully quantize, so when compiling for edgetpu, very few operations are mapped to TPU. HOT 2
- using tracker slows down the process time HOT 2
- Training YOLO on thermal Images (Gray scale). HOT 6
- Why does yolov8 create multiple runs directories HOT 3
- Validation Losses are immediately increasing (detection) HOT 1
- Integrating YOLOv8n model for Real-Time Webcam Detection and Image Upload/Camera Capture in a Flutter Web Application HOT 5
- RuntimeError: shape '[1, 67, -1]' is invalid for input of size 38400 HOT 5
- Do SAM 2 negative point prompts work? HOT 3
- model.export to TFLite with int8 doesn't yield a fully int8 quantized model HOT 7
- list object has no attribute conf HOT 1
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