SurgVU 2025 Category 2 VQA

This repository provides model for surgvu2025vqa


Model Files Preparation

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In surgvu2025vqa load_model(), inference.py reads the following from MODEL_PATH=/opt/app/model:

  • alg.cfg: algorithm configuration (INI/CFG format)
  • last.pt: Ultralytics YOLO detection model weights
  • checkpoint-399.pth: classification model weights (ResNet50, 12 classes)
  • Qwen2.5-VL model and processor directory (for Qwen2_5_VLForConditionalGeneration and AutoProcessor)

Ensure the above weights and model directory are placed under /opt/app/model in the container image (or switch MODEL_PATH to a local path for direct local runs).


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