model.py

import torch
import torchvision
from torchvision.models.detection.faster_rcnn import FastRCNNPredictor

def load_model(model_path="fasterrcnn_gtr_sar_new.pth", num_classes=8): # 7 aircraft classes + 1 background
    model = torchvision.models.detection.fasterrcnn_resnet50_fpn(weights=None)
    in_features = model.roi_heads.box_predictor.cls_score.in_features
    model.roi_heads.box_predictor = FastRCNNPredictor(in_features, num_classes)

    state_dict = torch.load(model_path, map_location="cpu")
    model.load_state_dict(state_dict)

    model.eval()
    return model