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Fix RTMPose likelihood computation #131

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Merged
MMathisLab merged 1 commit into from
Aug 22, 2025
Merged

Fix RTMPose likelihood computation #131

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16 changes: 14 additions & 2 deletions dlclive/pose_estimation_pytorch/models/predictors/sim_cc.py
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Original file line number Diff line number Diff line change
Expand Up @@ -42,21 +42,33 @@ class SimCCPredictor(BasePredictor):
def __init__(
self,
simcc_split_ratio: float = 2.0,
apply_softmax: bool = False,
normalize_outputs: bool = False,
apply_softmax: bool = True,
sigma: float | int | tuple[float, ...] = 6.0,
decode_beta: float = 150.0,
) -> None:
super().__init__()
self.simcc_split_ratio = simcc_split_ratio
self.apply_softmax = apply_softmax
self.normalize_outputs = normalize_outputs
self.apply_softmax = apply_softmax

if isinstance(sigma, (float, int)):
self.sigma = np.array([sigma, sigma])
else:
self.sigma = np.array(sigma)
self.decode_beta = decode_beta

def forward(
self, stride: float, outputs: dict[str, torch.Tensor]
) -> dict[str, torch.Tensor]:
x, y = outputs["x"].detach(), outputs["y"].detach()

if self.normalize_outputs:
x = get_simcc_normalized(x)
y = get_simcc_normalized(y)
else:
x = x * (self.sigma[0] * self.decode_beta)
y = y * (self.sigma[1] * self.decode_beta)

keypoints, scores = get_simcc_maximum(
x.cpu().numpy(), y.cpu().numpy(), self.apply_softmax
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