add tinycdv2

configs/_base_/models/tinycd_v2.py

@@ -0,0 +1,45 @@
+# model settings
+norm_cfg = dict(type='SyncBN', requires_grad=True)
+model = dict(
+    type='DIEncoderDecoder',
+    pretrained=None,
+    backbone=dict(
+        type='TinyNet',
+        arch='B',
+        output_early_x=True,
+        use_global=(True, True, True, True),
+        strip_kernel_size=(41, 31, 21, 11),
+        widen_factor=1.0,
+        strides=(1, 2, 2, 2),
+        dilations=(1, 1, 1, 1),
+        out_indices=(0, 1, 2, 3),
+        frozen_stages=-1,
+        conv_cfg=None,
+        norm_cfg=dict(type='BN'),
+        act_cfg=dict(type='ReLU6'),
+        norm_eval=False,
+        with_cp=False,
+        pretrained=None,
+        init_cfg=None),
+    neck=dict(
+        type='TinyFPN',
+        exist_early_x=True,
+        in_channels=[16, 24, 32, 48],
+        out_channels=24,
+        num_outs=4),
+    decode_head=dict(
+        type='TinyHead',
+        priori_attn=True,
+        in_channels=[32, 24, 24, 24, 24],
+        in_index=[0, 1, 2, 3, 4],
+        feature_strides=[2, 2, 4, 8, 16],
+        channels=24,
+        dropout_ratio=0.,
+        num_classes=2,
+        norm_cfg=norm_cfg,
+        align_corners=False,
+        loss_decode=dict(
+            type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0)),
+    # model training and testing settings
+    train_cfg=dict(),
+    test_cfg=dict(mode='whole'))