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ultralytics 8.0.89 SAM predict and auto-annotate (#2298)

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This commit is contained in:
Glenn Jocher
2023-04-28 00:36:50 +02:00
committed by GitHub
parent 3e118f6170
commit 243fc4b1fe
44 changed files with 2915 additions and 440 deletions
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4
tests/test_python.py
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@ -185,7 +185,7 @@ def test_workflow():
def test_predict_callback_and_setup():
# test callback addition for prediction
def on_predict_batch_end(predictor): # results -> List[batch_size]
path, _, im0s, _, _ = predictor.batch
path, im0s, _, _ = predictor.batch
# print('on_predict_batch_end', im0s[0].shape)
im0s = im0s if isinstance(im0s, list) else [im0s]
bs = [predictor.dataset.bs for _ in range(len(path))]
@ -194,7 +194,7 @@ def test_predict_callback_and_setup():
model = YOLO(MODEL)
model.add_callback('on_predict_batch_end', on_predict_batch_end)
dataset = load_inference_source(source=SOURCE, transforms=model.transforms)
dataset = load_inference_source(source=SOURCE)
bs = dataset.bs # noqa access predictor properties
results = model.predict(dataset, stream=True) # source already setup
for _, (result, im0, bs) in enumerate(results):