A minor correction in a comment (#12782)
* A minor correction in a comment I added the 'h' in 'https' in the link to the label smoothing issue. Signed-off-by: Kumar Selvakumaran <62794224+kumar-selvakumaran@users.noreply.github.com> * Auto-format by https://ultralytics.com/actions --------- Signed-off-by: Kumar Selvakumaran <62794224+kumar-selvakumaran@users.noreply.github.com> Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
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@@ -742,9 +742,9 @@ def pipeline_coreml(model, im, file, names, y, prefix=colorstr("CoreML Pipeline:
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model = ct.models.MLModel(pipeline.spec)
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model = ct.models.MLModel(pipeline.spec)
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model.input_description["image"] = "Input image"
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model.input_description["image"] = "Input image"
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model.input_description["iouThreshold"] = f"(optional) IOU Threshold override (default: {nms.iouThreshold})"
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model.input_description["iouThreshold"] = f"(optional) IOU Threshold override (default: {nms.iouThreshold})"
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model.input_description[
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model.input_description["confidenceThreshold"] = (
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"confidenceThreshold"
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f"(optional) Confidence Threshold override (default: {nms.confidenceThreshold})"
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] = f"(optional) Confidence Threshold override (default: {nms.confidenceThreshold})"
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)
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model.output_description["confidence"] = 'Boxes × Class confidence (see user-defined metadata "classes")'
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model.output_description["confidence"] = 'Boxes × Class confidence (see user-defined metadata "classes")'
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model.output_description["coordinates"] = "Boxes × [x, y, width, height] (relative to image size)"
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model.output_description["coordinates"] = "Boxes × [x, y, width, height] (relative to image size)"
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model.save(f) # pipelined
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model.save(f) # pipelined
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@@ -1,5 +1,6 @@
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# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license
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# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license
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"""Experimental modules."""
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"""Experimental modules."""
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import math
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import math
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import numpy as np
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import numpy as np
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@@ -1,5 +1,6 @@
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# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license
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# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license
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"""Logging utils."""
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"""Logging utils."""
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import json
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import json
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import os
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import os
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import warnings
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import warnings
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@@ -1,4 +1,5 @@
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"""Main Logger class for ClearML experiment tracking."""
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"""Main Logger class for ClearML experiment tracking."""
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import glob
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import glob
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import re
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import re
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from pathlib import Path
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from pathlib import Path
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+1
-1
@@ -9,7 +9,7 @@ from utils.torch_utils import de_parallel
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def smooth_BCE(eps=0.1):
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def smooth_BCE(eps=0.1):
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"""Returns label smoothing BCE targets for reducing overfitting; pos: `1.0 - 0.5*eps`, neg: `0.5*eps`. For details see ttps://github.com/ultralytics/yolov3/issues/238#issuecomment-598028441"""
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"""Returns label smoothing BCE targets for reducing overfitting; pos: `1.0 - 0.5*eps`, neg: `0.5*eps`. For details see https://github.com/ultralytics/yolov3/issues/238#issuecomment-598028441"""
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return 1.0 - 0.5 * eps, 0.5 * eps
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return 1.0 - 0.5 * eps, 0.5 * eps
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