4ba26cd48bc15f4077efe3b8e961f94805459293,src/pipelines.py,,unet_multitask,#Any#Any#,42

Before Change

                          save_output=save_output, load_saved_output=load_saved_output)

    mask_resize = Step(name="mask_resize",
                       transformer=Resizer(),
                       input_data=["input"],
                       input_steps=[unet_multitask],
                       adapter={"images": ([(unet_multitask.name, "mask_prediction")]),

After Change

                       save_output=save_output)

    contour_resize = Step(name="contour_resize",
                          transformer=make_apply_transformer(resize_image,
                                                             output_name="resized_images",
                                                             apply_on=["images", "target_sizes"]),
                          input_data=["input"],
                          input_steps=[unet_multitask],
                          adapter={"images": ([(unet_multitask.name, "contour_prediction")]),

Instances