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Check PyTorch model status for all YOLO methods (#945)

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Glenn Jocher 2023-02-13 15:08:08 +04:00 • committed by GitHub
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21 changed files with 180 additions and 106 deletions
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ultralytics/yolo/engine/predictor.py
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@ -35,6 +35,7 @@ import torch
from ultralytics.nn.autobackend import AutoBackend
from ultralytics.yolo.cfg import get_cfg
from ultralytics.yolo.data import load_inference_source
from ultralytics.yolo.data.augment import classify_transforms
from ultralytics.yolo.utils import DEFAULT_CFG, LOGGER, SETTINGS, callbacks, colorstr, ops
from ultralytics.yolo.utils.checks import check_imgsz, check_imshow
from ultralytics.yolo.utils.files import increment_path
@ -121,8 +122,12 @@ class BasePredictor:
def setup_source(self, source):
self.imgsz = check_imgsz(self.args.imgsz, stride=self.model.stride, min_dim=2) # check image size
if self.args.task == 'classify':
transforms = getattr(self.model.model, 'transforms', classify_transforms(self.imgsz[0]))
else: # predict, segment
transforms = None
self.dataset = load_inference_source(source=source,
transforms=getattr(self.model.model, 'transforms', None),
transforms=transforms,
imgsz=self.imgsz,
vid_stride=self.args.vid_stride,
stride=self.model.stride,