I have downloaded kitti dataset the labels are both in string and float format I cannot covert into float as it has 7000 images and labels about ultralytics

[github-actions]

👋 Hello @Jananiyar, 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.

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[glenn-jocher]

@Jananiyar hi there!

Thank you for reaching out. It looks like you're facing an issue with mixed data types in your KITTI dataset labels. To help you efficiently convert all labels to a consistent format, you can use a script to automate this process. Below is a Python example that reads the label files, converts the necessary fields to float, and saves them back:

import os

def convert_labels_to_float(label_dir):
    for label_file in os.listdir(label_dir):
        if label_file.endswith('.txt'):
            file_path = os.path.join(label_dir, label_file)
            with open(file_path, 'r') as file:
                lines = file.readlines()
            
            with open(file_path, 'w') as file:
                for line in lines:
                    parts = line.split()
                    # Assuming the coordinates are in columns 4 to 7
                    parts[4:8] = map(float, parts[4:8])
                    file.write(' '.join(map(str, parts)) + '\n')

label_directory = 'path/to/your/label/directory'
convert_labels_to_float(label_directory)

This script will iterate over all .txt files in your specified label directory, convert the relevant parts to float, and save the changes.

Before running this script, please ensure you have the latest versions of torch and ultralytics installed. You can update them using:

pip install --upgrade torch ultralytics

If you encounter any issues or need further assistance, please provide a minimum reproducible code example as outlined in our documentation. This will help us better understand and address your problem.

Happy coding! 😊

[github-actions]

👋 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.

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