scale_correction, "scaled_swc_key": morphology_to_s3(bucket, f"{prefix}/scaled_morphology.swc", morphology), "scaled_png_key": morphology_png_to_s3(bucket, f"{prefix}/scaled_morphology.png", morphology) } def main(token=None): working_bucket = os.environ.get("WORKING_BUCKET") reconstruction_id = os.environ.get("RECONSTRUCTION_ID") run_prefix = os.environ.get("RUN_PREFIX") inputs = collect_inputs(working_bucket, run_prefix, reconstruction_id) outputs = compute_scale_correction.run_scale_correction(**inputs) return put_outputs( working_bucket, run_prefix, outputs["morphology_scaled"], outputs["scale_transform"], outputs["scale_correction"], ) if __name__ == "__main__": step_fns_ecs_harness(main)
def main(): step_fns_ecs_harness(plot_original)
def main(): step_fns_ecs_harness(landing)
def main(): step_fns_ecs_harness(run_depth_field)
def main(): step_fns_ecs_harness(run_tilt)
def main(): step_fns_ecs_harness(run_upright_transform)