def faster_rcnn_resnet50_fpn() -> nn.Module:
weights_url = (
"https://download.pytorch.org/models/fasterrcnn_resnet50_fpn_coco-258fb6c6.pth"
)
model = faster_rcnn.model(num_classes=NUM_CLASSES)
load_model_weights_from_url(model=model, url=weights_url)
return model
def mask_rcnn_resnet50_fpn() -> nn.Module:
# weights_url = "https://github.com/airctic/icedata/releases/download/m1/pennfudan_maskrcnn_resnet50_fpn.zip"
weights_url = "https://github.com/airctic/model_zoo/releases/download/pennfudan_maskrcnn_resnet50fpn/pennfudan_maskrcnn_resnet50fpn.zip"
model = mask_rcnn.model(num_classes=NUM_CLASSES)
load_model_weights_from_url(model=model, url=weights_url)
return model
def _load_efficientdet(name, weights_url):
model = efficientdet.model(name, num_classes=NUM_CLASSES, img_size=512)
load_model_weights_from_url(model, weights_url)
return model
def _load_faster_rcnn(backbone, weights_url):
model = faster_rcnn.model(num_classes=NUM_CLASSES, backbone=backbone)
load_model_weights_from_url(model=model, url=weights_url)
return model
def _load_efficientdet(backbone, weights_url):
model = models.ross.efficientdet.model(backbone=backbone(pretrained=False),
num_classes=NUM_CLASSES,
img_size=384)
load_model_weights_from_url(model, weights_url)
return model
