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Hub device mismatch bug fix (#1594)

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Glenn Jocher 2020-12-06 18:01:13 +01:00 committed by GitHub
parent 4a07280884
commit e285034b4b
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1 changed files with 2 additions and 2 deletions
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4
utils/general.py
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@ -265,7 +265,7 @@ def non_max_suppression(prediction, conf_thres=0.1, iou_thres=0.6, classes=None,
detections with shape: nx6 (x1, y1, x2, y2, conf, cls)
"""
nc = prediction[0].shape[1] - 5 # number of classes
nc = prediction.shape[2] - 5 # number of classes
xc = prediction[..., 4] > conf_thres # candidates
# Settings
@ -277,7 +277,7 @@ def non_max_suppression(prediction, conf_thres=0.1, iou_thres=0.6, classes=None,
merge = False # use merge-NMS
t = time.time()
output = [torch.zeros(0, 6)] * prediction.shape[0]
output = [torch.zeros((0, 6), device=prediction.device)] * prediction.shape[0]
for xi, x in enumerate(prediction): # image index, image inference
# Apply constraints
# x[((x[..., 2:4] < min_wh) | (x[..., 2:4] > max_wh)).any(1), 4] = 0 # width-height