From 55b1b2b5feea5803b41b34416fd78741bf808567 Mon Sep 17 00:00:00 2001 From: Philipp Date: Fri, 28 Nov 2025 16:16:31 +0100 Subject: [PATCH] wired chars fix --- edit-training.html | 30 +++++++++++++++--------------- 1 file changed, 15 insertions(+), 15 deletions(-) diff --git a/edit-training.html b/edit-training.html index 4bddbae..401c645 100644 --- a/edit-training.html +++ b/edit-training.html @@ -287,7 +287,7 @@

Details▼

►Description
Activation function used in the network.
Options: silu, relu, leaky_relu
-
Warmup Epochs
►Description
Number of epochs at the beginning with a slowly increasing learning rate.
Common: 3–5
+
Warmup Epochs
►Description
Number of epochs at the beginning with a slowly increasing learning rate.
Common: 3-5
Warmup LR
►Description
Starting learning rate during warmup phase. Usually set to 0.
Scheduler
►Description
Learning rate scheduler.
Default: yoloxwarmcos
-
No Aug Epochs
►Description
Number of final epochs with no data augmentation to improve final accuracy.
Typical: 10–20
+
No Aug Epochs
►Description
Number of final epochs with no data augmentation to improve final accuracy.
Typical: 10-20
Min LR Ratio
►Description
Minimum ratio between the final and initial learning rate.
Default: 0.05
EMA
►Description
Enable Exponential Moving Average of model weights for smoother training results.
-
Weight Decay
►Description
Regularization term to reduce overfitting.
Typical: 0.0001–0.001
+
Weight Decay
►Description
Regularization term to reduce overfitting.
Typical: 0.0001-0.001
Momentum
►Description
Momentum for optimizer.
Default: 0.9
Input Size
►Description
Size of input images during training, formatted as width,height.
Common values: 640,640 or 512,512
@@ -327,8 +327,8 @@
Eval Interval
►Description
How often to evaluate on validation set (in epochs).
Example: 10
Save History CKPT
►Description
Save model checkpoints periodically for backup or resuming.
Test Size
►Description
Input size for evaluation, formatted as width,height.
Example: 640,640
-
Test Conf
►Description
Confidence score threshold for predictions during evaluation.
Typical: 0.01–0.3
-
NMS Thre
►Description
IoU threshold for non-maximum suppression (NMS).
Typical: 0.5–0.7
+
Test Conf
►Description
Confidence score threshold for predictions during evaluation.
Typical: 0.01-0.3
+
NMS Thre
►Description
IoU threshold for non-maximum suppression (NMS).
Typical: 0.5-0.7
@@ -336,17 +336,17 @@

Transformation Settings▼

-
Multiscale Range
►Description
Controls how much to vary image sizes during training for robustness.
Range: 0–10 (e.g. 5 = ±5 scale levels)
+
Multiscale Range
►Description
Controls how much to vary image sizes during training for robustness.
Range: 0-10 (e.g. 5 = ±5 scale levels)
Enable Mixup
►Description
Toggle mixup augmentation on or off. Improves generalization.
-
Mosaic Prob
►Description
Probability of applying mosaic augmentation, which combines 4 images into 1.
Range: 0.0–1.0
-
Mixup Prob
►Description
Probability of applying mixup augmentation, blending two images and labels.
Range: 0.0–1.0
-
HSV Prob
►Description
Probability of applying HSV (color) augmentation to images.
Range: 0.0–1.0
+
Mosaic Prob
►Description
Probability of applying mosaic augmentation, which combines 4 images into 1.
Range: 0.0-1.0
+
Mixup Prob
►Description
Probability of applying mixup augmentation, blending two images and labels.
Range: 0.0-1.0
+
HSV Prob
►Description
Probability of applying HSV (color) augmentation to images.
Range: 0.0-1.0
Flip Prob
►Description
Probability of flipping the image horizontally.
Default: 0.5
-
Degrees
►Description
Maximum rotation angle for random rotation.
Typical: 0–15°
+
Degrees
►Description
Maximum rotation angle for random rotation.
Typical: 0-15°
Mosaic Scale
►Description
Scale range for mosaic augmentation, formatted as min,max.
Example: 0.1,2.0
Mixup Scale
►Description
Scale range for mixup augmentation.
Example: 0.5,1.5
-
Translate
►Description
Maximum translation ratio. A value of 0.1 means 10% shift in image position.
Range: 0.0–0.3
-
Shear
►Description
Maximum shear angle in degrees for geometric distortion.
Typical: 0.0–5.0
+
Translate
►Description
Maximum translation ratio. A value of 0.1 means 10% shift in image position.
Range: 0.0-0.3
+
Shear
►Description
Maximum shear angle in degrees for geometric distortion.
Typical: 0.0-5.0