"""
Configuration for training Mask R-CNN on the Penn-Fudan dataset.
"""

from .base_config import base_config

config = base_config.copy()

# Override necessary settings from base_config
config.update(
    {
        "config_name": "pennfudan_maskrcnn_v1",  # Unique name for this experiment run
        "data_root": "data/PennFudanPed",  # Explicitly set dataset root
        "num_classes": 2,  # Penn-Fudan has 1 class (pedestrian) + background
        # Adjust other parameters as needed for this specific experiment, e.g.:
        # 'batch_size': 4,
        # 'num_epochs': 15,
        # 'lr': 0.001,
    }
)

# Ensure derived paths or settings are consistent if needed
# (Not strictly necessary with this simple structure)