Change configs

configs/kitti/dv_mvx-v2_second_secfpn_fpn-fusion_adamw_2x8_80e_kitti-3d-3class.py

@@ -57,7 +57,7 @@ model = dict(
         in_channels=256,
         layer_nums=[5, 5],
         layer_strides=[1, 2],
-        num_filters=[128, 256],
+        out_channels=[128, 256],
     ),
     pts_neck=dict(
         type='SECONDFPN',

configs/kitti/dv_pointpillars_secfpn_6x8_160e_kitti-3d-car.py

@@ -28,7 +28,7 @@ model = dict(
         in_channels=64,
         layer_nums=[3, 5, 5],
         layer_strides=[2, 2, 2],
-        num_filters=[64, 128, 256],
+        out_channels=[64, 128, 256],
     ),
     neck=dict(
         type='SECONDFPN',

configs/kitti/dv_second_secfpn_2x8_cosine_80e_kitti-3d-3class.py

@@ -26,7 +26,7 @@ model = dict(
         in_channels=256,
         layer_nums=[5, 5],
         layer_strides=[1, 2],
-        num_filters=[128, 256],
+        out_channels=[128, 256],
     ),
     neck=dict(
         type='SECONDFPN',

configs/kitti/dv_second_secfpn_6x8_80e_kitti-3d-car.py

@@ -26,7 +26,7 @@ model = dict(
         in_channels=256,
         layer_nums=[5, 5],
         layer_strides=[1, 2],
-        num_filters=[128, 256],
+        out_channels=[128, 256],
     ),
     neck=dict(
         type='SECONDFPN',

configs/kitti/hv_PartA2_secfpn_4x8_cosine_80e_kitti-3d-3class.py

@@ -22,7 +22,7 @@ model = dict(
         in_channels=256,
         layer_nums=[5, 5],
         layer_strides=[1, 2],
-        num_filters=[128, 256]),
+        out_channels=[128, 256]),
     neck=dict(
         type='SECONDFPN',
         in_channels=[128, 256],

configs/kitti/hv_pointpillars_secfpn_6x8_160e_kitti-3d-car.py

@@ -27,7 +27,7 @@ model = dict(
         in_channels=64,
         layer_nums=[3, 5, 5],
         layer_strides=[2, 2, 2],
-        num_filters=[64, 128, 256],
+        out_channels=[64, 128, 256],
     ),
     neck=dict(
         type='SECONDFPN',

configs/kitti/hv_second_secfpn_6x8_80e_kitti-3d-car.py

@@ -26,7 +26,7 @@ model = dict(
         in_channels=256,
         layer_nums=[5, 5],
         layer_strides=[1, 2],
-        num_filters=[128, 256],
+        out_channels=[128, 256],
     ),
     neck=dict(
         type='SECONDFPN',

configs/nus/hv_pointpillars_secfpn_sbn-all_4x8_2x_nus-3d.py

@@ -34,14 +34,14 @@ model = dict(
         norm_cfg=dict(type='naiveSyncBN2d', eps=1e-3, momentum=0.01),
         layer_nums=[3, 5, 5],
         layer_strides=[2, 2, 2],
-        num_filters=[64, 128, 256],
+        out_channels=[64, 128, 256],
     ),
     pts_neck=dict(
         type='SECONDFPN',
         norm_cfg=dict(type='naiveSyncBN2d', eps=1e-3, momentum=0.01),
         in_channels=[64, 128, 256],
         upsample_strides=[1, 2, 4],
-        num_upsample_filters=[128, 128, 128],
+        out_channels=[128, 128, 128],
     ),
     pts_bbox_head=dict(
         type='Anchor3DVeloHead',