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ultralytics 8.0.35 TensorRT, ONNX and OpenVINO predict and val (#929)

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Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Eric Pedley <ericpedley@gmail.com>
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Glenn Jocher 2023-02-11 21:31:49 +04:00 • committed by GitHub
parent d32b339373
commit 977fd8f0b8
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15 changed files with 88 additions and 69 deletions
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4
ultralytics/yolo/v8/segment/predict.py
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@ -17,10 +17,10 @@ class SegmentationPredictor(DetectionPredictor):
self.args.iou,
agnostic=self.args.agnostic_nms,
max_det=self.args.max_det,
nm=32,
nc=len(self.model.names),
classes=self.args.classes)
results = []
proto = preds[1][-1]
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):
shape = orig_img[i].shape if isinstance(orig_img, list) else orig_img.shape
if not len(pred):