Axial-DeepLab-SWideRNet / configs /example /example_kitti-step_motion_deeplab.textproto
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# proto-file: deeplab2/model.proto
# proto-message: ModelOptions
decoder {
feature_key: "res5"
atrous_rates: 6
atrous_rates: 12
atrous_rates: 18
}
backbone {
name: "resnet50"
}
# Motion-Deeplab adopts Panoptic-Deeplab for the task of Video Panoptic
# Segmentation or Segmenting and Tracking Every Pixel (STEP).
motion_deeplab {
low_level {
feature_key: "res3"
channels_project: 64
}
low_level {
feature_key: "res2"
channels_project: 32
}
semantic_head {
# Example for KITTI-STEP.
output_channels: 19
head_channels: 256
}
instance {
instance_decoder_override {
feature_key: "res5"
decoder_channels: 128
atrous_rates: 6
atrous_rates: 12
atrous_rates: 18
}
low_level_override {
feature_key: "res3"
channels_project: 32
}
low_level_override {
feature_key: "res2"
channels_project: 16
}
center_head {
output_channels: 1
head_channels: 32
}
regression_head {
output_channels: 2
head_channels: 32
}
}
motion_head {
output_channels: 2
head_channels: 32
}
}