A simple GUI tool for labeling video frames or image sequences for anomaly detection tasks.

• Open Video: Support for common video formats (.mp4, .avi, etc.).
• Open Image Folder: Support for sequences of images in a folder.
• Labeling: Mark individual frames as "Normal" or "Abnormal".
• Navigation: Slider, Previous/Next buttons, and Play/Pause functionality.
• Playback Speed: Adjustable playback speed (0.5x, 1.0x, 1.5x, 2.0x, 4.0x).
• Batch Selection: Select a range of frames and mark them all at once.
• Timeline Visualization: Visual timeline showing abnormal regions and current position.
• Save/Load: Saves labels as a NumPy .npy file. Automatically loads existing labels if a .npy file with the same name exists.

1. Install the required dependencies:

   pip install -r requirements.txt

1. Run the application:

   python label_master.py

2. Load Data:

   • Go to File > Upload Video (MP4) to open a video file.
   • Go to File > Open Image Folder to open a directory containing image frames.

3. Labeling:

   • Single Frame: Press Spacebar or click Mark as Abnormal to toggle the label for the current frame.
   • Batch Selection:
     1. Navigate to the start frame and click Set Start [.
     2. Navigate to the end frame and click Set End ].
     3. Click Mark Range Abnormal (Red) or Mark Range Normal (Green) to label all frames in that range.
   • Timeline: The bar below the slider shows red regions for abnormal frames. You can click on the timeline to jump to that frame.

4. Saving:

   • Click the 💾 Save Results (.npy) button at the top right of the window.
   • The output is a binary NumPy array where 0 is Normal and 1 is Abnormal.

• Left Arrow: Previous Frame
• Right Arrow: Next Frame
• Space: Toggle Label (Normal/Abnormal)