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ultralytics 8.0.58 new SimpleClass, fixes and updates (#1636)

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Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Laughing <61612323+Laughing-q@users.noreply.github.com>
This commit is contained in:
Glenn Jocher
2023-03-26 22:16:38 +02:00
committed by GitHub
parent ef03e6732a
commit ec10002a4a
30 changed files with 351 additions and 314 deletions
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4
ultralytics/yolo/data/base.py
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@ -12,8 +12,8 @@ import numpy as np
from torch.utils.data import Dataset
from tqdm import tqdm
from ..utils import NUM_THREADS, TQDM_BAR_FORMAT
from .utils import HELP_URL, IMG_FORMATS, LOCAL_RANK
from ..utils import LOCAL_RANK, NUM_THREADS, TQDM_BAR_FORMAT
from .utils import HELP_URL, IMG_FORMATS
class BaseDataset(Dataset):

4
ultralytics/yolo/data/build.py
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@ -14,10 +14,10 @@ from ultralytics.yolo.data.dataloaders.stream_loaders import (LOADERS, LoadImage
from ultralytics.yolo.data.utils import IMG_FORMATS, VID_FORMATS
from ultralytics.yolo.utils.checks import check_file
from ..utils import LOGGER, colorstr
from ..utils import LOGGER, RANK, colorstr
from ..utils.torch_utils import torch_distributed_zero_first
from .dataset import ClassificationDataset, YOLODataset
from .utils import PIN_MEMORY, RANK
from .utils import PIN_MEMORY
class InfiniteDataLoader(dataloader.DataLoader):

4
ultralytics/yolo/data/dataloaders/stream_loaders.py
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@ -335,6 +335,7 @@ class LoadTensor:
def __init__(self, imgs) -> None:
self.im0 = imgs
self.bs = imgs.shape[0]
self.mode = 'image'
def __iter__(self):
self.count = 0
@ -346,6 +347,9 @@ class LoadTensor:
self.count += 1
return None, self.im0, self.im0, None, '' # self.paths, im, self.im0, None, ''
def __len__(self):
return self.bs
def autocast_list(source):
"""

4
ultralytics/yolo/data/dataset.py
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@ -10,10 +10,10 @@ import torch
import torchvision
from tqdm import tqdm
from ..utils import NUM_THREADS, TQDM_BAR_FORMAT, is_dir_writeable
from ..utils import LOCAL_RANK, NUM_THREADS, TQDM_BAR_FORMAT, is_dir_writeable
from .augment import Compose, Format, Instances, LetterBox, classify_albumentations, classify_transforms, v8_transforms
from .base import BaseDataset
from .utils import HELP_URL, LOCAL_RANK, LOGGER, get_hash, img2label_paths, verify_image_label
from .utils import HELP_URL, LOGGER, get_hash, img2label_paths, verify_image_label
class YOLODataset(BaseDataset):

2
ultralytics/yolo/data/utils.py
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@ -25,8 +25,6 @@ from ultralytics.yolo.utils.ops import segments2boxes
HELP_URL = 'See https://github.com/ultralytics/yolov5/wiki/Train-Custom-Data'
IMG_FORMATS = 'bmp', 'dng', 'jpeg', 'jpg', 'mpo', 'png', 'tif', 'tiff', 'webp', 'pfm' # image suffixes
VID_FORMATS = 'asf', 'avi', 'gif', 'm4v', 'mkv', 'mov', 'mp4', 'mpeg', 'mpg', 'ts', 'wmv', 'webm' # video suffixes
LOCAL_RANK = int(os.getenv('LOCAL_RANK', -1)) # https://pytorch.org/docs/stable/elastic/run.html
RANK = int(os.getenv('RANK', -1))
PIN_MEMORY = str(os.getenv('PIN_MEMORY', True)).lower() == 'true' # global pin_memory for dataloaders
IMAGENET_MEAN = 0.485, 0.456, 0.406 # RGB mean
IMAGENET_STD = 0.229, 0.224, 0.225 # RGB standard deviation