HongChuang/ultralytics-ascend
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Removes unused argument label_smoothing (#16014)

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Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: Ultralytics Assistant <135830346+UltralyticsAssistant@users.noreply.github.com>
Co-authored-by: Francesco Mattioli <Francesco.mttl@gmail.com>
Co-authored-by: Laughing-q <1185102784@qq.com>
Co-authored-by: Laughing <61612323+Laughing-q@users.noreply.github.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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Burhan 2024-11-25 10:37:07 -05:00 • committed by GitHub
parent acec3d9c1c
commit c5fd0bb48a
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4 changed files with 8 additions and 5 deletions
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1
docs/en/macros/train-args.md
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@ -40,7 +40,6 @@
| `dfl` | `1.5` | Weight of the distribution focal loss, used in certain YOLO versions for fine-grained classification. |
| `pose` | `12.0` | Weight of the pose loss in models trained for pose estimation, influencing the emphasis on accurately predicting pose keypoints. |
| `kobj` | `2.0` | Weight of the keypoint objectness loss in pose estimation models, balancing detection confidence with pose accuracy. |
| `label_smoothing` | `0.0` | Applies label smoothing, softening hard labels to a mix of the target label and a uniform distribution over labels, can improve generalization. |
| `nbs` | `64` | Nominal batch size for normalization of loss. |
| `overlap_mask` | `True` | Determines whether object masks should be merged into a single mask for training, or kept separate for each object. In case of overlap, the smaller mask is overlayed on top of the larger mask during merge. |
| `mask_ratio` | `4` | Downsample ratio for segmentation masks, affecting the resolution of masks used during training. |

4
ultralytics/cfg/__init__.py
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@ -160,7 +160,6 @@ CFG_FRACTION_KEYS = { # fractional float arguments with 0.0<=values<=1.0
"weight_decay",
"warmup_momentum",
"warmup_bias_lr",
"label_smoothing",
"hsv_h",
"hsv_s",
"hsv_v",
@ -436,6 +435,9 @@ def _handle_deprecation(custom):
if key == "line_thickness":
deprecation_warn(key, "line_width")
custom["line_width"] = custom.pop("line_thickness")
if key == "label_smoothing":
deprecation_warn(key)
custom.pop("label_smoothing")
return custom

1
ultralytics/cfg/default.yaml
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@ -99,7 +99,6 @@ cls: 0.5 # (float) cls loss gain (scale with pixels)
dfl: 1.5 # (float) dfl loss gain
pose: 12.0 # (float) pose loss gain
kobj: 1.0 # (float) keypoint obj loss gain
label_smoothing: 0.0 # (float) label smoothing (fraction)
nbs: 64 # (int) nominal batch size
hsv_h: 0.015 # (float) image HSV-Hue augmentation (fraction)
hsv_s: 0.7 # (float) image HSV-Saturation augmentation (fraction)

7
ultralytics/utils/__init__.py
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@ -1255,9 +1255,12 @@ class SettingsManager(JSONDict):
self.update(self.defaults)
def deprecation_warn(arg, new_arg):
def deprecation_warn(arg, new_arg=None):
"""Issue a deprecation warning when a deprecated argument is used, suggesting an updated argument."""
LOGGER.warning(f"WARNING ⚠️ '{arg}' is deprecated and will be removed in in the future. Use '{new_arg}' instead.")
msg = f"WARNING ⚠️ '{arg}' is deprecated and will be removed in in the future."
if new_arg is not None:
msg += f" Use '{new_arg}' instead."
LOGGER.warning(msg)
def clean_url(url):