Create config.yaml

config.yaml

@@ -0,0 +1,57 @@
+# YOLOv9 Configuration File
+
+# Model architecture details
+model:
+  type: YOLOv9  # Model type
+  backbone:
+    type: CSPDarknet  # Backbone architecture type
+    depth_multiple: 1.0  # Depth multiplier
+    width_multiple: 1.0  # Width multiplier
+
+# Input image settings
+input_size: 640  # Input image size (square)
+
+# Anchor parameters
+anchors:
+  - [10, 13, 16, 30, 33, 23]  # Anchor box 1
+  - [30, 61, 62, 45, 59, 119]  # Anchor box 2
+  - [116, 90, 156, 198, 373, 326]  # Anchor box 3
+
+# Training hyperparameters
+hyp:
+  lr0: 0.01  # Initial learning rate
+  lrf: 0.01  # Learning rate reduction factor
+  momentum: 0.937  # Momentum
+  weight_decay: 0.0005  # Weight decay
+  warmup_epochs: 3.0  # Warmup epochs
+  warmup_momentum: 0.8  # Warmup momentum
+  warmup_bias_lr: 0.1  # Warmup bias learning rate
+  box: 7.5  # Box loss gain
+  cls: 0.5  # Class loss gain
+  cls_pw: 1.0  # Class label smoothing
+  dfl: 1.5  # DFL loss gain
+  obj_pw: 1.0  # Objectness loss gain
+  iou_t: 0.2  # IoU training threshold
+  anchor_t: 5.0  # Anchor matching threshold
+  fl_gamma: 0.0  # Focal loss gamma
+  hsv_h: 0.015  # HSV hue gain
+  hsv_s: 0.7  # HSV saturation gain
+  hsv_v: 0.4  # HSV value gain
+  degrees: 0.0  # Image rotation (degrees)
+  translate: 0.1  # Image translation
+  scale: 0.9  # Image scale
+  shear: 0.0  # Image shear
+  perspective: 0.0  # Image perspective transform
+  flipud: 0.0  # Flip image vertically
+  fliplr: 0.5  # Flip image horizontally
+  mosaic: 1.0  # Mosaic augmentation
+  mixup: 0.15  # Mixup augmentation
+  copy_paste: 0.3  # Copy-Paste augmentation
+
+# Other settings
+other:
+  multi_scale: false  # Use multi-scale training
+  flip: true  # Use random horizontal flipping
+  blur: false  # Use random image blurring
+  letterbox: false  # Use letterbox resizing
+  rect: false  # Use rectangular resizing