Comments (2)
👋 Hello @Mr-ChenSH, 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>=3.8.0 with all requirements.txt installed including PyTorch>=1.8. To get started:
git clone https://github.com/ultralytics/yolov5 # clone
cd yolov5
pip install -r requirements.txt # install
Environments
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
Status
If this badge is green, all YOLOv5 GitHub Actions Continuous Integration (CI) tests are currently passing. CI tests verify correct operation of YOLOv5 training, validation, inference, export and benchmarks on macOS, Windows, and Ubuntu every 24 hours and on every commit.
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
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@Mr-ChenSH hello,
Thank you for reaching out and for searching through the existing issues and discussions before posting.
The error tensorflow.python.framework.errors_impl.FailedPreconditionError: logs\loss_2024_07_22_11_59_02 is not a directory
suggests that TensorFlow is trying to access a path that it expects to be a directory, but it either doesn't exist or is not a directory.
Here are a few steps to troubleshoot and resolve this issue:
-
Verify the Path: Ensure that the path
logs\loss_2024_07_22_11_59_02
exists and is indeed a directory. You can manually check this in your file explorer. -
Permissions: Make sure that your script has the necessary permissions to read/write to the directory.
-
TensorFlow Version: Ensure you are using the latest version of TensorFlow. You can update TensorFlow using:
pip install --upgrade tensorflow
-
Reproducibility: Verify if the issue persists with the latest version of YOLOv5 and TensorFlow. Sometimes, bugs are fixed in newer releases.
-
Directory Creation: If the directory does not exist, you might need to create it manually or modify your script to create it if it doesn't exist. For example:
import os log_dir = 'logs/loss_2024_07_22_11_59_02' if not os.path.exists(log_dir): os.makedirs(log_dir)
If you continue to face issues, please provide more details about your environment (TensorFlow version, YOLOv5 version, operating system, etc.) and any relevant code snippets. This will help in diagnosing the problem more effectively.
Thanks for your patience and cooperation. The YOLO community and the Ultralytics team are here to help!
from yolov5.
Related Issues (20)
- Marking YOLOv5 Detection Text Outputs with TP or FP HOT 4
- Multiple threads using yolov5 model concurrent inference failed HOT 4
- Detect head structure differs HOT 4
- runs\train\exp10 is not a directory HOT 12
- Similar mAP when splitting data into train, val and test HOT 4
- Syntax and understanding questions about reading tensorflow lite results HOT 1
- A Error which blast my mind.... HOT 1
- Yolov5 Int8 export in PyTorch HOT 10
- Video inference with YOLOv5 model in python HOT 3
- How to disable or add new scales of prediction? HOT 5
- Installation on Windows 7 32 bits HOT 3
- Artificial Neural Network - interpreting model.save output HOT 1
- Origin of warmup_bias_lr? HOT 3
- Silicon Mac GPU Support for training HOT 1
- Split features map of data HOT 1
- incorrect detections for cars after fine-tuning yolov5l HOT 1
- tried to run yolov5 "detect.py" with pretrained model yolov8x.pt and xView.yaml HOT 1
- Low disk space causes memory leak HOT 3
- Error with fbgemm.dll file when using Torch! HOT 5
- Yolov5 inventing label on validation set HOT 1
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