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🧪 Testing Automated Image Analysis

This page explains how to test the automated image analysis in DL_Track_US.

Test Preparation

Before starting:

  • Images are evaluated without user input.
  • Only single images (not videos) are required.
  • Test data is located at:
    DL_Track_US_example/tests/test_images_automatic

Make sure the following are correct:

  • Use the correct images:
    DL_Track_US_example/tests/test_images_automated
  • Use the provided pre-trained models:
    DL_Track_US_example/DLTrack_models
  • Keep all parameter settings in settings.py (accessible via the Settings Wheel) as they are.
  • In v0.2.1, select NO for the Filter Fascicles option.
  • Use the correct flip_flag.txt file:
    DL_Track_US_example/tests/test_images_automated/flip_flags.txt
  • Then click the Run button to start the analysis.

test_setup

After Running the Test

After running the analysis, two new files will be created:

  • ResultImages.pdf
  • Results.xlsx

Both will appear in:
DL_Track_US_example/tests/test_images_automated

Validating the Results

  • Open the Results.xlsx file.
  • Compare the analysis results to the expected outputs shown below.

resuts

✅ If the results are similar, DL_Track_US works properly for automated image analysis!