Step2_DetectCrop/README.md

# Step2 OD/Fovea Detection

This directory contains the coordinate-detection stage.
It outputs OD/Fovea coordinates and does not generate crop boxes directly.

Model weights:

- `weights/RetinaNet_cfp_v.pth` (wfCFP + vessel-enhanced fusion input)
- `weights/RetinaNet_octa_v.pth` (OCTA + vessel-enhanced fusion input)

## Single-Pair Run

```bash
python run_detect_crop.py \
  --wfcfp_image path/to/wfcfp.png \
  --wfcfp_vessel path/to/wfcfp_vessel.png \
  --octa_image path/to/octa.png \
  --octa_vessel path/to/octa_vessel.png \
  --output_dir Output/demo
```

Main outputs:

- `wfcfp_od_fovea.txt`
- `octa_od_fovea.txt` (when OCTA input is provided)
- `summary.json`

## OCTA-60 Batch Run

```bash
bash scripts/run.sh
```

Notes:

- `run_detect_crop.py` keeps `--crop_output_size` only for backward compatibility.
- Final coordinate correction follows the logic in `detect_server.py`.