Update app.py

app.py

@@ -21,9 +21,8 @@ valid_tfms = tfms.A.Adapter([*tfms.A.resize_and_pad(size), tfms.A.Normalize()])
 # backbone = faster_rcnn.backbones.resnet_fpn.resnet18(pretrained=True)
 # model1 = faster_rcnn.model(backbone=backbone, num_classes=len(class_map))
 # model1.load_state_dict(torch.load('fasterRCNNFruits.pth', map_location=torch.device('cpu')))
-model1 = models.torchvision.faster_rcnn.model(backbone=models.torchvision.faster_rcnn.backbones.resnet18_fpn(pretrained=True), num_classes=len(class_map))
-model1 = faster_rcnn.model(backbone=models.torchvision.faster_rcnn.backbones.resnet18_fpn(pretrained=True), num_classes=len(class_map))
-state_dict = torch.load('fasterRCNNFruits.pth', map_location=torch.device('cpu'))
+model1 = models.torchvision.faster_rcnn.model(backbone=models.torchvision.faster_rcnn.backbones.resnet18_fpn(pretrained=True), num_classes=len(class_map)+1)
+state_dict = torch.load('fasterRCNN_resnet18_Raccoons.pth', map_location=torch.device('cpu'))
 model1.load_state_dict(state_dict)
 
 def show_preds(input_image, display_label, display_bbox, detection_threshold):