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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/pose/predict.py
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@ -7,6 +7,10 @@ from ultralytics.yolo.v8.detect.predict import DetectionPredictor
class PosePredictor(DetectionPredictor):
def __init__(self, cfg=DEFAULT_CFG, overrides=None, _callbacks=None):
super().__init__(cfg, overrides, _callbacks)
self.args.task = 'pose'
def postprocess(self, preds, img, orig_img):
"""Return detection results for a given input image or list of images."""
preds = ops.non_max_suppression(preds,
@ -24,7 +28,7 @@ class PosePredictor(DetectionPredictor):
pred[:, :4] = ops.scale_boxes(img.shape[2:], pred[:, :4], shape).round()
pred_kpts = pred[:, 6:].view(len(pred), *self.model.kpt_shape) if len(pred) else pred[:, 6:]
pred_kpts = ops.scale_coords(img.shape[2:], pred_kpts, shape)
path, _, _, _, _ = self.batch
path = self.batch[0]
img_path = path[i] if isinstance(path, list) else path
results.append(
Results(orig_img=orig_img,