Add YOLOv8-m 500epoch config

mmyolo/configs/_emergency_/yolov8/yolov8_m-syncbn_fast_8xb16-500e-coco_pretrained.py

@@ -0,0 +1,103 @@
+_base_ = "./yolov8_s_syncbn_fast_8xb16-500e_coco.py"
+
+deepen_factor = 0.67
+widen_factor = 0.75
+last_stage_out_channels = 768
+
+affine_scale = 0.9
+mixup_ratio = 0.1
+
+num_classes = _base_.num_classes
+num_det_layers = _base_.num_det_layers
+img_scale = _base_.img_scale
+
+load_from = "yolov8_m_syncbn_fast_8xb16-500e_coco_20230115_192200-c22e560a.pth"
+
+model = dict(
+    backbone=dict(
+        last_stage_out_channels=last_stage_out_channels,
+        deepen_factor=deepen_factor,
+        widen_factor=widen_factor,
+        frozen_stages=4,  # 4 if P5, 5 if P6
+    ),
+    neck=dict(
+        deepen_factor=deepen_factor,
+        widen_factor=widen_factor,
+        in_channels=[256, 512, last_stage_out_channels],
+        out_channels=[256, 512, last_stage_out_channels],
+    ),
+    bbox_head=dict(
+        head_module=dict(
+            widen_factor=widen_factor, in_channels=[256, 512, last_stage_out_channels]
+        )
+    ),
+)
+
+pre_transform = _base_.pre_transform
+albu_train_transform = _base_.albu_train_transform
+last_transform = _base_.last_transform
+
+mosaic_affine_transform = [
+    dict(
+        type="Mosaic", img_scale=img_scale, pad_val=114.0, pre_transform=pre_transform
+    ),
+    dict(
+        type="YOLOv5RandomAffine",
+        max_rotate_degree=0.0,
+        max_shear_degree=0.0,
+        max_aspect_ratio=100,
+        scaling_ratio_range=(1 - affine_scale, 1 + affine_scale),
+        # img_scale is (width, height)
+        border=(-img_scale[0] // 2, -img_scale[1] // 2),
+        border_val=(114, 114, 114),
+    ),
+]
+
+train_pipeline = [
+    *pre_transform,
+    *mosaic_affine_transform,
+    dict(
+        type="YOLOv5MixUp",
+        prob=mixup_ratio,
+        pre_transform=[*pre_transform, *mosaic_affine_transform],
+    ),
+    *last_transform,
+]
+
+train_dataloader = dict(dataset=dict(pipeline=train_pipeline))
+
+train_pipeline_stage2 = [
+    *pre_transform,
+    dict(type="YOLOv5KeepRatioResize", scale=img_scale),
+    dict(
+        type="LetterResize",
+        scale=img_scale,
+        allow_scale_up=True,
+        pad_val=dict(img=114.0),
+    ),
+    dict(
+        type="YOLOv5RandomAffine",
+        max_rotate_degree=0.0,
+        max_shear_degree=0.0,
+        scaling_ratio_range=(1 - affine_scale, 1 + affine_scale),
+        max_aspect_ratio=100,
+        border_val=(114, 114, 114),
+    ),
+    *last_transform,
+]
+
+custom_hooks = [
+    dict(
+        type="EMAHook",
+        ema_type="ExpMomentumEMA",
+        momentum=0.0001,
+        update_buffers=True,
+        strict_load=False,
+        priority=49,
+    ),
+    dict(
+        type="mmdet.PipelineSwitchHook",
+        switch_epoch=_base_.max_epochs - 10,
+        switch_pipeline=train_pipeline_stage2,
+    ),
+]