inference_extra_args

README.md

@@ -120,6 +120,7 @@ Class implementing cropping and passing crops through a neural network for detec
 | show_crops            | bool                   | False        | Whether to visualize the cropping.                                                                             |
 | resize_initial_size   | bool                   | False        | Whether to resize the results to the original input image size (ps: slow operation).                           |
 | memory_optimize       | bool                   | True         | Memory optimization option for segmentation (less accurate results when enabled).                              |
+| inference_extra_args  | dict                   | None         | Dictionary with extra ultralytics [inference parameters](https://docs.ultralytics.com/modes/predict/#inference-arguments) (possible keys: half, device, max_det, augment, agnostic_nms and retina_masks) |
 
 
 **CombineDetections**

patched_yolo_infer/README.md

@@ -98,6 +98,7 @@ Class implementing cropping and passing crops through a neural network for detec
 - **show_crops** (*bool*): Whether to visualize the cropping.
 - **resize_initial_size** (*bool*): Whether to resize the results to the original image size (ps: slow operation).
 - **memory_optimize** (*bool*): Memory optimization option for segmentation (less accurate results when enabled).
+- **inference_extra_args** (*dict*): Dictionary with extra ultralytics [inference parameters](https://docs.ultralytics.com/modes/predict/#inference-arguments) (possible keys: half, device, max_det, augment, agnostic_nms and retina_masks)
 
 **CombineDetections**
 Class implementing combining masks/boxes from multiple crops + NMS (Non-Maximum Suppression).\

patched_yolo_infer/nodes/MakeCropsDetectThem.py

@@ -50,8 +50,8 @@ class MakeCropsDetectThem:
                                     image size (ps: slow operation).
         class_names_dict (dict): Dictionary containing class names of the YOLO model.
         memory_optimize (bool): Memory optimization option for segmentation (less accurate results)
+        inference_extra_args (dict): Dictionary with extra ultralytics inference parameters
     """
-
     def __init__(
         self,
         image: np.ndarray,
@@ -89,8 +89,8 @@ def __init__(
         self.show_crops = show_crops  # Whether to visualize the cropping
         self.resize_initial_size = resize_initial_size  # slow operation !
         self.memory_optimize = memory_optimize # memory opimization option for segmentation
-        self.class_names_dict = self.model.names
-        self.inference_extra_args = inference_extra_args
+        self.class_names_dict = self.model.names # dict with human-readable class names
+        self.inference_extra_args = inference_extra_args # dict with extra ultralytics inference parameters
 
         self.crops = self.get_crops_xy(
             self.image,