Video-Frame-Annotator

This is a Python script that allows you to view images from a specified directory and save information about them to a text file. This is assuming your file structure is something like

x/
├── y1/
│   ├── z1/
│   │   ├── frame1.jpg
│   │   ├── frame2.jpg
│   │   └── frame3.jpg
│   ├── z2/
│   │   ├── frame4.jpg
│   │   ├── frame5.jpg
│   │   └── frame6.jpg
│   └── z3/
│       ├── frame7.jpg
│       ├── frame8.jpg
│       └── frame9.jpg
└── y2/
    ├── z1/
    │   ├── frame10.jpg
    │   ├── frame11.jpg
    │   └── frame12.jpg
    ├── z2/
    │   ├── frame13.jpg
    │   ├── frame14.jpg
    │   └── frame15.jpg
    └── z3/
        ├── frame16.jpg
        ├── frame17.jpg
        └── frame18.jpg

You must edit the code to pass in your directories (both input in the format specified and the output where the resulting .txt file will be saved.

Installation

To use this program, you will need to have Python 3 and the following libraries installed:

tkinter PIL You can install these libraries using pip:

pip install tkinter
pip install pillow

Usage

Clone the repository to your local machine. Navigate to the project directory in your terminal. Run the following command to start the program: python annotate.py

• The program will load the first image from the specified directory and display it on the screen.
• Use the right arrow key to move to the next image in the directory.
• Use the "s" key to move to the next subdirectory in the directory tree. This will move you to the next 'y' folder
• Type in a label and use the "Enter" key to save the label to a text file. NOTE: This will save one label for this particular 'z' directory in the resulting .txt file. This will also move you to the next 'z' folder in the subdirectory.
• To exit the program, close the window or press "Ctrl+C" in the terminal.

Note: Please make sure that you have the necessary permissions to read and write files in the specified directory before using this program.