CNTK Object Recognition Video Tagging Tool

This tool provides end to end support for generating datasets for and validating Object Recognition Models with CNTK.

It supports the following scenarios:

• Computer Assisted Tagging of Objects In Video Using Custom implementation of Camshift Algorithm
• Export Tags to CNTK format for training a CNTK object recognition model.
• Running and validating a trained CNTK object recognition model on new videos to generate stronger models. (Windows only for now, GPU recommended)

To Use:

1. Download the release binary.
2. Extract and run the app
3. Load a video.
4. Configure the tagging job specifying the following preferences
   • Frame Extraction Rate (Number of frames to tag per a second)
   • Tagging Region Type (Rectangle, Point, Square)
   • Export Frames Until (How far to export)
   • Labels (Labels for tagging)
5. Tag the video frame by frame.
6. Export Video to CNTK Format
7. Train model using Object Detection using FastRCNN.
8. Load new video apply model to new video, validate tags, re-export, retrain
9. Repeat step #8 on new videos until model preformance is satisfactory.
   

Upcoming Features

• Image Directory Tagging Support
• Tagging Project Management
• UI enhancements