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1 year ago 👋 Hello @MKlown, 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.
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.
Requirements
Python>=3.7.0 with all requirements.txt installed including PyTorch>=1.7. To get started:
git clone https://github.com/ultralytics/yolov5 # clone
cd yolov5
pip install -r requirements.txt # installEnvironments
YOLOv5 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
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Introducing YOLOv8 🚀
We're excited to announce the launch of our latest state-of-the-art (SOTA) object detection model for 2023 - YOLOv8 🚀!
Designed to be fast, accurate, and easy to use, YOLOv8 is an ideal choice for a wide range of object detection, image segmentation and image classification tasks. With YOLOv8, you'll be able to quickly and accurately detect objects in real-time, streamline your workflows, and achieve new levels of accuracy in your projects.
Check out our YOLOv8 Docs for details and get started with:
pip install ultralytics
glenn-jocher
MKlown
ZhouBay-TF
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Question
Hello,
I played with the classification a bit. If I get data such as cifar10 or another, all works fine including for the prediction. If I use the same downloaded model by now specifying its path on my disk, no issue again. If I use different dataset, one generated by myself, containing jpg images and some png, the training seems to go fine. However, as soon as I try to predict, it end with error similar to this one: File "...\yolov5\classify\predict.py", line 151, in
s += f"{', '.join(f'{names[j]} {prob[j]:.2f}' for j in top5i)}, "
KeyError: 105
Checking at model.names, they are all in.
What am I missing here?
Do I need to have inputs in a specific format or size/resolution (all the downloadable models seems very low resolution)?
Thanks for any help. Apologies if it is not the right place or if I did not find similar questions by checking out.
Additional
No response