RTMCC

RTMCC head based on RTMPose: Real-Time Multi-Person Pose Estimation based on MMPose.

Field list

Field	Description
name	(str) Name must be "rtmcc" to use RTMCC head.
params.conv_kernel	(int) Kernel size of convolution layer.
params.attention_channels	(int) Dimension of gated attention unit.
params.attention_act_type	(str) Activation type of gated attention unit.
params.attention_pos_enc	(bool) Whether to use rotary position embedding for gated attention unit.
params.s	(int) Self attention feature dimension of gated attention unit.
params.expansion_factor	(int) Expansion factor of gated attention unit.
params.dropout_rate	(float) Dropout rate of gated attention unit.
params.drop_path	(float) Drop path rate of gated attention unit.
params.use_rel_bias	(bool) Whether to use relative bias for gated attention unit.
params.simcc_split_ratio	(float) Split ratio of pixels.
params.target_size	(list) Original input image size.
params.backbone_stride	(int) Stride of input feature from original image produced by backbone.

Model configuration example

RTMCC head

model:
  architecture:
    head:
    name: rtmcc
    params:
      conv_kernel: 7
      attention_channels: 256
      attention_act_type: 'silu'
      attention_pos_enc: False
      s: 128
      expansion_factor: 2
      dropout_rate: 0.
      drop_path: 0.
      use_rel_bias: False
      simcc_split_ratio: 2.
      target_size: [256, 256]
      backbone_stride: 32

Related links

• RTMPose