ultralytics 8.0.88
Pose TFLite model fix (#2261)
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@ -541,18 +541,25 @@ class Pose(Detect):
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x = self.detect(self, x)
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if self.training:
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return x, kpt
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pred_kpt = self.kpts_decode(kpt)
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pred_kpt = self.kpts_decode(bs, kpt)
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return torch.cat([x, pred_kpt], 1) if self.export else (torch.cat([x[0], pred_kpt], 1), (x[1], kpt))
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def kpts_decode(self, kpts):
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def kpts_decode(self, bs, kpts):
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"""Decodes keypoints."""
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ndim = self.kpt_shape[1]
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y = kpts.clone()
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if ndim == 3:
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y[:, 2::3].sigmoid_() # inplace sigmoid
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y[:, 0::ndim] = (y[:, 0::ndim] * 2.0 + (self.anchors[0] - 0.5)) * self.strides
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y[:, 1::ndim] = (y[:, 1::ndim] * 2.0 + (self.anchors[1] - 0.5)) * self.strides
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return y
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if self.export: # required for TFLite export to avoid 'PLACEHOLDER_FOR_GREATER_OP_CODES' bug
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y = kpts.view(bs, *self.kpt_shape, -1)
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a = (y[:, :, :2] * 2.0 + (self.anchors - 0.5)) * self.strides
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if ndim == 3:
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a = torch.cat((a, y[:, :, 1:2].sigmoid()), 2)
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return a.view(bs, self.nk, -1)
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else:
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y = kpts.clone()
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if ndim == 3:
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y[:, 2::3].sigmoid_() # inplace sigmoid
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y[:, 0::ndim] = (y[:, 0::ndim] * 2.0 + (self.anchors[0] - 0.5)) * self.strides
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y[:, 1::ndim] = (y[:, 1::ndim] * 2.0 + (self.anchors[1] - 0.5)) * self.strides
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return y
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class Classify(nn.Module):
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