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Change OV model scales #3485

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merged 3 commits into from
May 10, 2024
Merged

Change OV model scales #3485

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2a54c50
fix transforms scale
ashwinvaidya17 May 10, 2024
43f98ff
fix transforms scale
ashwinvaidya17 May 10, 2024
ae5b299
update early stopping metrics
ashwinvaidya17 May 10, 2024
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7 changes: 0 additions & 7 deletions src/otx/algo/anomaly/openvino_model.py
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Original file line number Diff line number Diff line change
Expand Up @@ -148,10 +148,3 @@ def predict_step(self, inputs: AnomalyModelInputs, batch_idx: int) -> list[Anoma
def _customize_outputs(self, outputs: list[AnomalyResult], inputs: AnomalyModelInputs) -> list[AnomalyResult]:
"""Return outputs from the OpenVINO model as is."""
return outputs

def _customize_inputs(self, inputs: AnomalyModelInputs) -> dict[str, np.ndarray]:
"""Return inputs as is."""
inputs = super()._customize_inputs(inputs)
# model needs inputs in range 0-1
inputs["inputs"] = [value / 255.0 for value in inputs["inputs"]]
return inputs
4 changes: 2 additions & 2 deletions src/otx/core/model/anomaly.py
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Expand Up @@ -211,8 +211,8 @@ def _get_values_from_transforms(
if "Resize" in name:
image_size = tuple(transform.size) # type: ignore[assignment]
elif "Normalize" in name:
mean_value = tuple(transform.mean) # type: ignore[assignment]
std_value = tuple(transform.std) # type: ignore[assignment]
mean_value = tuple(value * 255 for value in transform.mean) # type: ignore[assignment]
std_value = tuple(value * 255 for value in transform.std) # type: ignore[assignment]
return image_size, mean_value, std_value

@property
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