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YOLO Running Tool

Description

The YOLO Running Tool is a Windows batch script that automates running YOLO object detection models. It manages model selection, environment activation, and runs detection on images or videos.

Requirements

  • Windows 10 or later.
  • Python environment with necessary YOLO dependencies installed.
  • Pre-trained YOLO models available.

What It’s Used For

  • Running YOLO models for object detection on images or videos.
  • Managing model selection and configuration.
  • Providing easy-to-use menu-driven commands.

How to Use

The program will start with a menu like this:

Enter YOLO version number: 8

It will then activate or create the conda environment and install dependencies, showing messages like:

Anaconda detected!
Creating conda environment yolov8 ...
Installing ultralytics, supervision, roboflow...
Installing PyTorch...
True NVIDIA GeForce RTX 4090

Next, it prompts for the Roboflow dataset link:

Paste your Roboflow dataset download link:

If you enter a link, it downloads the dataset:

Downloading dataset from Roboflow...

Then it prompts for epochs:

Enter number of epochs to train (e.g. 50): 50

It creates the training script and asks for confirmation:

[1] Start YOLO training
[2] Back to YOLO runner
[3] Return to Main Menu
[4] Exit
Choose an option (1-4):

If you start training, it runs Python and shows training progress:

Starting YOLO training...
Epoch 1/50 - loss: 2.1
...
Training complete! Check the 'runs/detect' folder for results.

The program stays open for further commands until you choose to exit.

Notes

  • Ensure Python and required packages are installed and accessible in your PATH.
  • Configure model paths and parameters as needed.