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A minor correction in a comment (#12782)
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* 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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kumar-selvakumaran and UltralyticsAssistant committed Mar 4, 2024
1 parent b939236 commit b24177b
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Showing 5 changed files with 7 additions and 4 deletions.
6 changes: 3 additions & 3 deletions export.py
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Expand Up @@ -742,9 +742,9 @@ def pipeline_coreml(model, im, file, names, y, prefix=colorstr("CoreML Pipeline:
model = ct.models.MLModel(pipeline.spec)
model.input_description["image"] = "Input image"
model.input_description["iouThreshold"] = f"(optional) IOU Threshold override (default: {nms.iouThreshold})"
model.input_description[
"confidenceThreshold"
] = f"(optional) Confidence Threshold override (default: {nms.confidenceThreshold})"
model.input_description["confidenceThreshold"] = (
f"(optional) Confidence Threshold override (default: {nms.confidenceThreshold})"
)
model.output_description["confidence"] = 'Boxes × Class confidence (see user-defined metadata "classes")'
model.output_description["coordinates"] = "Boxes × [x, y, width, height] (relative to image size)"
model.save(f) # pipelined
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1 change: 1 addition & 0 deletions models/experimental.py
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@@ -1,5 +1,6 @@
# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license
"""Experimental modules."""

import math

import numpy as np
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1 change: 1 addition & 0 deletions utils/loggers/__init__.py
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@@ -1,5 +1,6 @@
# YOLOv5 🚀 by Ultralytics, AGPL-3.0 license
"""Logging utils."""

import json
import os
import warnings
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1 change: 1 addition & 0 deletions utils/loggers/clearml/clearml_utils.py
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@@ -1,4 +1,5 @@
"""Main Logger class for ClearML experiment tracking."""

import glob
import re
from pathlib import Path
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2 changes: 1 addition & 1 deletion utils/loss.py
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Expand Up @@ -9,7 +9,7 @@


def smooth_BCE(eps=0.1):
"""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"""
"""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"""
return 1.0 - 0.5 * eps, 0.5 * eps


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