Use `tqdm.auto` (#7311)

data/Argoverse.yaml

 download: |
   import json
 
-  from tqdm import tqdm
+  from tqdm.auto import tqdm
   from utils.general import download, Path
 
 

data/Objects365.yaml

 
 # Download script/URL (optional) ---------------------------------------------------------------------------------------
 download: |
-  from tqdm import tqdm
+  from tqdm.auto import tqdm
 
   from utils.general import Path, check_requirements, download, np, xyxy2xywhn
 

data/SKU-110K.yaml

 # Download script/URL (optional) ---------------------------------------------------------------------------------------
 download: |
   import shutil
-  from tqdm import tqdm
+  from tqdm.auto import tqdm
   from utils.general import np, pd, Path, download, xyxy2xywh
 
 

data/VOC.yaml

 download: |
   import xml.etree.ElementTree as ET
 
-  from tqdm import tqdm
+  from tqdm.auto import tqdm
   from utils.general import download, Path
 
 

data/VisDrone.yaml

 
   def visdrone2yolo(dir):
       from PIL import Image
-      from tqdm import tqdm
+      from tqdm.auto import tqdm
 
       def convert_box(size, box):
           # Convert VisDrone box to YOLO xywh box

data/xView.yaml

 
   import numpy as np
   from PIL import Image
-  from tqdm import tqdm
+  from tqdm.auto import tqdm
 
   from utils.datasets import autosplit
   from utils.general import download, xyxy2xywhn

train.py

 from torch.cuda import amp
 from torch.nn.parallel import DistributedDataParallel as DDP
 from torch.optim import SGD, Adam, AdamW, lr_scheduler
-from tqdm import tqdm
+from tqdm.auto import tqdm
 
 FILE = Path(__file__).resolve()
 ROOT = FILE.parents[0]  # YOLOv5 root directory

utils/autoanchor.py

 import numpy as np
 import torch
 import yaml
-from tqdm import tqdm
+from tqdm.auto import tqdm
 
 from utils.general import LOGGER, colorstr, emojis
 

utils/datasets.py

 import yaml
 from PIL import ExifTags, Image, ImageOps
 from torch.utils.data import DataLoader, Dataset, dataloader, distributed
-from tqdm import tqdm
+from tqdm.auto import tqdm
 
 from utils.augmentations import Albumentations, augment_hsv, copy_paste, letterbox, mixup, random_perspective
 from utils.general import (DATASETS_DIR, LOGGER, NUM_THREADS, check_dataset, check_requirements, check_yaml, clean_str,

utils/loggers/wandb/wandb_utils.py

 from typing import Dict
 
 import yaml
-from tqdm import tqdm
+from tqdm.auto import tqdm
 
 FILE = Path(__file__).resolve()
 ROOT = FILE.parents[3]  # YOLOv5 root directory

val.py

 
 import numpy as np
 import torch
-from tqdm import tqdm
+from tqdm.auto import tqdm
 
 FILE = Path(__file__).resolve()
 ROOT = FILE.parents[0]  # YOLOv5 root directory