* Refactor code for speed and clarity

* Update dataloaders.py

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>

---------

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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Glenn Jocher authored and GitHub committed 2024-07-01 00:17:24 +02:00
1 parent b9019671f4
commit 100a423b66
14 files changed
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@@ -84,6 +84,7 @@ def run(
dnn=False, # use OpenCV DNN for ONNX inference
vid_stride=1, # video frame-rate stride
):
"""Conducts YOLOv5 classification inference on diverse input sources and saves results."""
source = str(source)
save_img = not nosave and not source.endswith(".txt") # save inference images
is_file = Path(source).suffix[1:] in (IMG_FORMATS + VID_FORMATS)
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@@ -68,6 +68,7 @@ def run(
criterion=None,
pbar=None,
):
"""Validates a YOLOv5 classification model on a dataset, computing metrics like top1 and top5 accuracy."""
# Initialize/load model and set device
training = model is not None
if training: # called by train.py