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Fixed the _forward_onnx class function in multiple model heads by removing the sigmoid activations on the class predictions and directly concatenating it with the reg predictions. Doing this, the pytorch model output matches exactly with the onnx exported output.
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But prediction score is messed up previously it was 0.0 - 0.99 now 0.0 - 3.00 |
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Fixed the _forward_onnx class function in multiple model heads by removing the sigmoid activations on the class predictions and directly concatenating it with the reg predictions. Doing this, the pytorch model output matches exactly with the onnx exported output.