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Path Reference for spad_for_vision_space

Base Directory

  • BASE_DIR: /Users/pd3rvr/Documents/pubs/THESIS/thetex/huggingface/spad_for_vision_space
    • Defined in app.py as: os.path.dirname(os.path.abspath(__file__))

Models Search Paths

From app.py (main application):

All model weights are searched in: BASE_DIR/models/<model_type>/

  1. Flat Surface Detection: BASE_DIR/models/flat_surface/*.pth
  2. Material Purity: BASE_DIR/models/material_purity/*.pth
  3. Material Detection Head: BASE_DIR/models/material_detection_head/*.pth
  4. YOLOv3: BASE_DIR/models/yolov3/*.pt
  5. YOLOv8: BASE_DIR/models/yolov8/*.pt
  6. DINOv3: BASE_DIR/models/dinov3/*.pth

From material_detection_functions.py:

Spatiotemporal Material Detection Model: BASE_DIR/models/spatiotemporal/training_results_material_classifier_best_99.25%.pth

Note: The path calculation in material_detection_functions.py goes up 2 levels from the file location:

  • File location: apps.err/material_detection_naturalobjects/material_detection_functions.py
  • Goes up to: spad_for_vision_space/
  • Then: models/spatiotemporal/

Test Images/Datasets Search Paths

All test images are searched in: BASE_DIR/datasets/<dataset_name>/

  1. Flat Surface Detection: BASE_DIR/datasets/testmages__flatsurface/
  2. Fluid Purity Demo: BASE_DIR/datasets/testmages__milkpurity/
  3. DINOv3 Demo: BASE_DIR/datasets/testmages_dino/
  4. Custom YOLOv8 Demo: BASE_DIR/datasets/testmages__yolov8/
  5. Spatiotemporal Detection: BASE_DIR/datasets/testmages_spatiotemporal/
  6. Detect YOLOv3: BASE_DIR/datasets/testmages__yolov3/
  7. Material Detection Head: BASE_DIR/datasets/val_natural_material_detection/

Model Architecture Files

  1. YOLOv3 Custom: BASE_DIR/apps/yolov3_custom/train_fast_yolov3.py
  2. DINOv3 Custom: BASE_DIR/apps/dinov3_custom/train_dinov3.py

Hugging Face Hub Download

On startup, if models/datasets don't exist locally, the app will attempt to download from:

  • Models: mvplus/spatiotemporal_models (repo-type: model)
  • Datasets: mvplus/spatiotemporal_dataset (repo-type: dataset)

Note: Downloads are skipped for local testing (only happen on Hugging Face Spaces).