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update RTMPose SimCCPredictor: expose apply_softmax and fix visibility thresholding #3306

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update RTMPose SimCCPredictor: expose apply_softmax and fix visibility thresholding #3306

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2e2f0b3
fix visibility thresholding for `apply_softmax=True`
deruyter92 Apr 30, 2026
8e988d7
rtmpose: expose default parameters in config yaml (e.g. `apply_softmax`)
deruyter92 Apr 30, 2026
38414ee
Merge branch 'main' into jaap/update_rtmpose_simcc_predictor
deruyter92 May 8, 2026
3b77bb6
Merge branch 'main' into jaap/update_rtmpose_simcc_predictor
C-Achard May 12, 2026
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2 changes: 2 additions & 0 deletions deeplabcut/pose_estimation_pytorch/config/rtmpose/rtmpose_m.yaml
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Expand Up @@ -51,6 +51,8 @@ model:
simcc_split_ratio: 2.0
sigma: [5.66, 5.66]
decode_beta: 150.0
apply_softmax: true
normalize_outputs: false
input_size: [256, 256]
in_channels: 768
out_channels: "num_bodyparts"
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2 changes: 2 additions & 0 deletions deeplabcut/pose_estimation_pytorch/config/rtmpose/rtmpose_s.yaml
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Expand Up @@ -51,6 +51,8 @@ model:
simcc_split_ratio: 2.0
sigma: [5.66, 5.66]
decode_beta: 150.0
apply_softmax: true
normalize_outputs: false
input_size: [256, 256]
in_channels: 512
out_channels: "num_bodyparts"
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2 changes: 2 additions & 0 deletions deeplabcut/pose_estimation_pytorch/config/rtmpose/rtmpose_x.yaml
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Expand Up @@ -51,6 +51,8 @@ model:
simcc_split_ratio: 2.0
sigma: [6.93, 6.93]
decode_beta: 150.0
apply_softmax: true
normalize_outputs: false
input_size: [384, 384]
in_channels: 1280
out_channels: "num_bodyparts"
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3 changes: 2 additions & 1 deletion deeplabcut/pose_estimation_pytorch/models/predictors/sim_cc.py
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Expand Up @@ -138,7 +138,8 @@ def get_simcc_maximum(
mask = max_val_x > max_val_y
max_val_x[mask] = max_val_y[mask]
vals = max_val_x
locs[vals <= 0.0] = -1
threshold = 1.0 / simcc_x.shape[-1] if apply_softmax else 0.0
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locs[vals <= threshold] = -1

if N:
locs = locs.reshape(N, K, 2)
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