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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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6
ultralytics/yolo/v8/segment/predict.py
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@ -9,6 +9,10 @@ from ultralytics.yolo.v8.detect.predict import DetectionPredictor
class SegmentationPredictor(DetectionPredictor):
def __init__(self, cfg=DEFAULT_CFG, overrides=None, _callbacks=None):
super().__init__(cfg, overrides, _callbacks)
self.args.task = 'segment'
def postprocess(self, preds, img, orig_imgs):
"""TODO: filter by classes."""
p = ops.non_max_suppression(preds[0],
@ -22,7 +26,7 @@ class SegmentationPredictor(DetectionPredictor):
proto = preds[1][-1] if len(preds[1]) == 3 else preds[1] # second output is len 3 if pt, but only 1 if exported
for i, pred in enumerate(p):
orig_img = orig_imgs[i] if isinstance(orig_imgs, list) else orig_imgs
path, _, _, _, _ = self.batch
path = self.batch[0]
img_path = path[i] if isinstance(path, list) else path
if not len(pred): # save empty boxes
results.append(Results(orig_img=orig_img, path=img_path, names=self.model.names, boxes=pred[:, :6]))