Minor fix

app.py

@@ -66,11 +66,7 @@ def display_false_detection_data(false_detection_data, number_of_samples):
 
 def inference(input_img, conf_thres, iou_thres, is_false_detection_images=True, num_false_detection_images=10):
     im0 = input_img.copy()
-    im_resized = cv2.resize(im0, (640, 640))
-    rgb_img = im_resized.copy()
-    transforms = albumentations.Compose([ToTensorV2()])
-    im_resized = transforms(image = im_resized)['image']
-    im_resized = im_resized.unsqueeze(0)
+    rgb_img = cv2.resize(im0, (640, 640))
     stride, names, pt = model.stride, model.names, model.pt
     imgsz = check_img_size((640, 640), s=stride)  # check image size
 
@@ -118,9 +114,9 @@ def inference(input_img, conf_thres, iou_thres, is_false_detection_images=True,
         misclassified_images = None
 
     cam = EigenCAM(model, target_layers)
-    grayscale_cam = cam(im_resized)[0, :]
+    grayscale_cam = cam(im)[0, :]
     cam_image = show_cam_on_image(rgb_img, grayscale_cam, use_rgb=True)
-    
+
     return im0, cam_image, misclassified_images
 
 title = "YOLOv9 model to detect shirt/tshirt"