624d14284e35d6ce9c371c39f7e387002ccf4913,onnx_coreml/converter.py,,convert,#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#,248

Before Change

                    bias_r_g_b_gray[:3] = bias
                if inp_name not in image_input_names:
                    image_input_names.append(inp_name) // type: ignore
                preprocessing_args["is_bgr"] = {inp_name: False}
                preprocessing_args["red_bias"] = {inp_name: bias_r_g_b_gray[0]}
                preprocessing_args["green_bias"] = {inp_name: bias_r_g_b_gray[1]}
                preprocessing_args["blue_bias"] = {inp_name: bias_r_g_b_gray[2]}
                preprocessing_args["gray_bias"] = {inp_name: bias_r_g_b_gray[3]}
                preprocessing_args["image_scale"] = {inp_name: scale}

    // remove all ImageScaler ops

After Change

            image_scale=preprocessing_args.get("image_scale", 1.0)
        )

    preprocessing_args.clear()

    if len(image_output_names) > 0:
        for f in output_features:
            f_name = f[0]

Instances