Fix model re-fuse() in inference loops (#466)

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Ayush Chaurasia <ayush.chaurarsia@gmail.com>

ultralytics/yolo/data/datasets/Argoverse.yaml

@@ -28,10 +28,9 @@ names:
 # Download script/URL (optional) ---------------------------------------------------------------------------------------
 download: |
   import json
-
   from tqdm import tqdm
-  from utils.general import download, Path
-
+  from ultralytics.yolo.utils.downloads import download
+  from pathlib import Path
 
   def argoverse2yolo(set):
       labels = {}

ultralytics/yolo/data/datasets/GlobalWheat2020.yaml

@@ -32,8 +32,8 @@ names:
 
 # Download script/URL (optional) ---------------------------------------------------------------------------------------
 download: |
-  from utils.general import download, Path
-
+  from ultralytics.yolo.utils.downloads import download
+  from pathlib import Path
 
   # Download
   dir = Path(yaml['path'])  # dataset root dir

ultralytics/yolo/data/datasets/Objects365.yaml

@@ -386,7 +386,12 @@ names:
 download: |
   from tqdm import tqdm
 
-  from utils.general import Path, check_requirements, download, np, xyxy2xywhn
+  from ultralytics.yolo.utils.checks import check_requirements
+  from ultralytics.yolo.utils.downloads import download
+  from ultralytics.yolo.utils.ops import xyxy2xywhn
+
+  import numpy as np
+  from pathlib import Path
 
   check_requirements(('pycocotools>=2.0',))
   from pycocotools.coco import COCO

ultralytics/yolo/data/datasets/SKU-110K.yaml

@@ -21,9 +21,14 @@ names:
 # Download script/URL (optional) ---------------------------------------------------------------------------------------
 download: |
   import shutil
-  from tqdm import tqdm
-  from utils.general import np, pd, Path, download, xyxy2xywh
+  from pathlib import Path
 
+  import numpy as np
+  import pandas as pd
+  from tqdm import tqdm
+
+  from ultralytics.yolo.utils.downloads import download
+  from ultralytics.yolo.utils.ops import xyxy2xywh
 
   # Download
   dir = Path(yaml['path'])  # dataset root dir
@@ -50,4 +55,4 @@ download: |
               for r in x[images == im]:
                   w, h = r[6], r[7]  # image width, height
                   xywh = xyxy2xywh(np.array([[r[1] / w, r[2] / h, r[3] / w, r[4] / h]]))[0]  # instance
-                  f.write(f"{cls} {xywh[0]:.5f} {xywh[1]:.5f} {xywh[2]:.5f} {xywh[3]:.5f}\n")  # write label
+                  f.write(f"{cls} {xywh[0]:.5f} {xywh[1]:.5f} {xywh[2]:.5f} {xywh[3]:.5f}\n")  # write label

ultralytics/yolo/data/datasets/VOC.yaml

@@ -48,8 +48,8 @@ download: |
   import xml.etree.ElementTree as ET
 
   from tqdm import tqdm
-  from utils.general import download, Path
-
+  from ultralytics.yolo.utils.downloads import download
+  from pathlib import Path
 
   def convert_label(path, lb_path, year, image_id):
       def convert_box(size, box):

ultralytics/yolo/data/datasets/VisDrone.yaml

@@ -29,7 +29,10 @@ names:
 
 # Download script/URL (optional) ---------------------------------------------------------------------------------------
 download: |
-  from utils.general import download, os, Path
+  import os
+  from pathlib import Path
+
+  from ultralytics.yolo.utils.downloads import download
 
   def visdrone2yolo(dir):
       from PIL import Image

ultralytics/yolo/data/datasets/coco.yaml

@@ -99,7 +99,9 @@ names:
 
 # Download script/URL (optional)
 download: |
-  from utils.general import download, Path
+  from ultralytics.yoloutils.downloads import download
+  from pathlib import Path
+
   # Download labels
   segments = True  # segment or box labels
   dir = Path(yaml['path'])  # dataset root dir

ultralytics/yolo/data/datasets/xView.yaml

@@ -87,8 +87,8 @@ download: |
   from PIL import Image
   from tqdm import tqdm
 
-  from utils.dataloaders import autosplit
-  from utils.general import download, xyxy2xywhn
+  from ultralytics.yolo.data.dataloaders.v5loader import autosplit
+  from ultralytics.yolo.utils.ops import xyxy2xywhn
 
 
   def convert_labels(fname=Path('xView/xView_train.geojson')):