Debug: tensour access

yolov8.py

@@ -35,13 +35,10 @@ def draw_detections(boxes, colors, names, img):
 
 def generate_cam_image(model, target_layers, tensor, rgb_img, boxes):
     cam = EigenCAM(model, target_layers)
-    grayscale_cam = cam(tensor)[0, :, :]
+    model_output = model(tensor)[0]  # Adjust based on output structure
+    grayscale_cam = cam(tensor, targets=model_output)[0, :, :]
     img_float = np.float32(rgb_img) / 255
-
-    # Generate Grad-CAM
     cam_image = show_cam_on_image(img_float, grayscale_cam, use_rgb=True)
-
-    # Renormalize Grad-CAM inside bounding boxes
     renormalized_cam = np.zeros(grayscale_cam.shape, dtype=np.float32)
     for x1, y1, x2, y2 in boxes:
         renormalized_cam[y1:y2, x1:x2] = scale_cam_image(grayscale_cam[y1:y2, x1:x2].copy())