docker demo, migration, speedup inference using cv2

weights/convert_safetensor_to_pt.py

@@ -1,26 +1,26 @@
-import torch
-from ultralytics.nn.tasks import DetectionModel
-from safetensors.torch import load_file
-import argparse
-import yaml
-import os
-
-# accept args to specify v1 or v1_5
-parser = argparse.ArgumentParser(description='Specify version v1 or v1_5')
-parser.add_argument('--weights_dir', type=str, required=True, help='Specify the path to the safetensor file', default='weights/icon_detect_v1_5')
-args = parser.parse_args()
-
-tensor_dict = load_file(os.path.join(args.weights_dir, "model.safetensors"))
-model = DetectionModel(os.path.join(args.weights_dir, "model.yaml"))
-# from ultralytics import YOLO
-# som_model = YOLO("yolo11m.pt")
-# model = som_model.model
-
-model.load_state_dict(tensor_dict)
-save_dict = {'model':model}
-
-with open(os.path.join(args.weights_dir, "train_args.yaml"), 'r') as file:
-    train_args = yaml.safe_load(file)
-save_dict.update(train_args)
-torch.save(save_dict, os.path.join(args.weights_dir, "best.pt"))
-
+import torch
+from ultralytics.nn.tasks import DetectionModel
+from safetensors.torch import load_file
+import argparse
+import yaml
+import os
+
+# accept args to specify v1 or v1_5
+parser = argparse.ArgumentParser(description='Specify version v1 or v1_5')
+parser.add_argument('--weights_dir', type=str, required=True, help='Specify the path to the safetensor file', default='weights/icon_detect_v1_5')
+args = parser.parse_args()
+
+tensor_dict = load_file(os.path.join(args.weights_dir, "model.safetensors"))
+model = DetectionModel(os.path.join(args.weights_dir, "model.yaml"))
+# from ultralytics import YOLO
+# som_model = YOLO("yolo11m.pt")
+# model = som_model.model
+
+model.load_state_dict(tensor_dict)
+save_dict = {'model':model}
+
+with open(os.path.join(args.weights_dir, "train_args.yaml"), 'r') as file:
+    train_args = yaml.safe_load(file)
+save_dict.update(train_args)
+torch.save(save_dict, os.path.join(args.weights_dir, "best.pt"))
+