add more yolov8 download utils

sahi/models/huggingface.py

@@ -30,7 +30,6 @@ def __init__(
         load_at_init: bool = True,
         image_size: int = None,
     ):
-
         self._processor = processor
         self._image_shapes = []
         super().__init__(
@@ -66,7 +65,6 @@ def num_categories(self) -> int:
         return self.model.config.num_labels
 
     def load_model(self):
-
         from transformers import AutoModelForObjectDetection, AutoProcessor
 
         model = AutoModelForObjectDetection.from_pretrained(self.model_path)

sahi/models/torchvision.py

@@ -174,7 +174,6 @@ def _create_object_prediction_list_from_original_predictions(
             full_shape = None if full_shape_list is None else full_shape_list[0]
 
             for ind in range(len(boxes)):
-
                 if masks is not None:
                     mask = np.array(masks[ind])
                 else:

sahi/scripts/coco_error_analysis.py

@@ -360,7 +360,6 @@ def _analyse_results(
 
         classname_to_export_path_list = {}
         for k, catId in enumerate(present_cat_ids):
-
             nm = cocoGt.loadCats(catId)[0]
             print(f'--------------saving {k + 1}-{nm["name"]}---------------')
             analyze_result = analyze_results[k]

sahi/utils/cv.py

@@ -250,7 +250,6 @@ def read_video_frame(video_capture, frame_skip_interval):
             cv2.imshow("Prediction of {}".format(str(video_file_name)), cv2.WINDOW_AUTOSIZE)
 
             while video_capture.isOpened:
-
                 frame_num = video_capture.get(cv2.CAP_PROP_POS_FRAMES)
                 video_capture.set(cv2.CAP_PROP_POS_FRAMES, frame_num + frame_skip_interval)
 

sahi/utils/file.py

@@ -228,7 +228,6 @@ def increment_path(path, exist_ok=True, sep=""):
 
 
 def download_from_url(from_url: str, to_path: str):
-
     Path(to_path).parent.mkdir(parents=True, exist_ok=True)
 
     if not os.path.exists(to_path):

sahi/utils/mmdet.py

@@ -31,7 +31,6 @@ class MmdetTestConstants:
 
 
 def download_mmdet_cascade_mask_rcnn_model(destination_path: Optional[str] = None):
-
     if destination_path is None:
         destination_path = MmdetTestConstants.MMDET_CASCADEMASKRCNN_MODEL_PATH
 
@@ -41,7 +40,6 @@ def download_mmdet_cascade_mask_rcnn_model(destination_path: Optional[str] = Non
 
 
 def download_mmdet_retinanet_model(destination_path: Optional[str] = None):
-
     if destination_path is None:
         destination_path = MmdetTestConstants.MMDET_RETINANET_MODEL_PATH
 
@@ -51,7 +49,6 @@ def download_mmdet_retinanet_model(destination_path: Optional[str] = None):
 
 
 def download_mmdet_yolox_tiny_model(destination_path: Optional[str] = None):
-
     if destination_path is None:
         destination_path = MmdetTestConstants.MMDET_YOLOX_TINY_MODEL_PATH
 

sahi/utils/yolonas.py

@@ -16,7 +16,6 @@ class YoloNasTestConstants:
 
 
 def download_yolonas_s_model(destination_path: Optional[str] = None):
-
     if destination_path is None:
         destination_path = YoloNasTestConstants.YOLONAS_S_MODEL_PATH
 
@@ -30,7 +29,6 @@ def download_yolonas_s_model(destination_path: Optional[str] = None):
 
 
 def download_yolonas_m_model(destination_path: Optional[str] = None):
-
     if destination_path is None:
         destination_path = YoloNasTestConstants.YOLONAS_M_MODEL_PATH
 
@@ -44,7 +42,6 @@ def download_yolonas_m_model(destination_path: Optional[str] = None):
 
 
 def download_yolonas_l_model(destination_path: Optional[str] = None):
-
     if destination_path is None:
         destination_path = YoloNasTestConstants.YOLONAS_L_MODEL_PATH
 

sahi/utils/yolov5.py

@@ -16,7 +16,6 @@ class Yolov5TestConstants:
 
 
 def download_yolov5n_model(destination_path: Optional[str] = None):
-
     if destination_path is None:
         destination_path = Yolov5TestConstants.YOLOV5N_MODEL_PATH
 
@@ -30,7 +29,6 @@ def download_yolov5n_model(destination_path: Optional[str] = None):
 
 
 def download_yolov5s6_model(destination_path: Optional[str] = None):
-
     if destination_path is None:
         destination_path = Yolov5TestConstants.YOLOV5S6_MODEL_PATH
 

sahi/utils/yolov8.py

@@ -14,9 +14,11 @@ class Yolov8TestConstants:
     YOLOV8M_MODEL_URL = "https://github.com/ultralytics/assets/releases/download/v0.0.0/yolov8m.pt"
     YOLOV8M_MODEL_PATH = "tests/data/models/yolov8/yolov8m.pt"
 
+    YOLOV8M_MODEL_URL = "https://github.com/ultralytics/assets/releases/download/v0.0.0/yolov8l.pt"
+    YOLOV8M_MODEL_PATH = "tests/data/models/yolov8/yolov8l.pt"
 
-def download_yolov8n_model(destination_path: Optional[str] = None):
 
+def download_yolov8n_model(destination_path: Optional[str] = None):
     if destination_path is None:
         destination_path = Yolov8TestConstants.YOLOV8N_MODEL_PATH
 
@@ -30,7 +32,6 @@ def download_yolov8n_model(destination_path: Optional[str] = None):
 
 
 def download_yolov8s_model(destination_path: Optional[str] = None):
-
     if destination_path is None:
         destination_path = Yolov8TestConstants.YOLOV8S_MODEL_PATH
 
@@ -41,3 +42,29 @@ def download_yolov8s_model(destination_path: Optional[str] = None):
             Yolov8TestConstants.YOLOV8S_MODEL_URL,
             destination_path,
         )
+
+
+def download_yolov8m_model(destination_path: Optional[str] = None):
+    if destination_path is None:
+        destination_path = Yolov8TestConstants.YOLOV8M_MODEL_PATH
+
+    Path(destination_path).parent.mkdir(parents=True, exist_ok=True)
+
+    if not path.exists(destination_path):
+        urllib.request.urlretrieve(
+            Yolov8TestConstants.YOLOV8M_MODEL_URL,
+            destination_path,
+        )
+
+
+def download_yolov8l_model(destination_path: Optional[str] = None):
+    if destination_path is None:
+        destination_path = Yolov8TestConstants.YOLOV8L_MODEL_PATH
+
+    Path(destination_path).parent.mkdir(parents=True, exist_ok=True)
+
+    if not path.exists(destination_path):
+        urllib.request.urlretrieve(
+            Yolov8TestConstants.YOLOV8L_MODEL_URL,
+            destination_path,
+        )

tests/test_cocoutils.py

@@ -453,7 +453,6 @@ def test_get_imageid2annotationlist_mapping(self):
         self.assertEqual(len(imageid2annotationlist_mapping), 2)
 
         def check_image_id(image_id):
-
             image_ids = [annotationlist["image_id"] for annotationlist in imageid2annotationlist_mapping[image_id]]
             self.assertEqual(image_ids, [image_id] * len(image_ids))
 

tests/test_mmdetectionmodel.py

@@ -24,7 +24,6 @@
 
 
 def download_mmdet_yolox_tiny_model():
-
     download_from_url(MMDET_YOLOX_TINY_MODEL_URL, MMDET_YOLOX_TINY_MODEL_PATH)
     download_from_url(MMDET_YOLOX_TINY_CONFIG_URL, MMDET_YOLOX_TINY_CONFIG_PATH)