def parse_args():
parser = argparse.ArgumentParser()
group = parser.add_mutually_exclusive_group(required=True)
group.add_argument("-s2D", "--segmentation_model_2D", default=False, help="If the model's output is a 2D segmentation mask",
action='store_true')
group.add_argument("-s3D", "--segmentation_model_3D", default=False, help="If the model's output is a 3D segmentation mask",
action='store_true')
group.add_argument("-b", "--bounding_box_model", default=False, help="If the model's output are bounding boxes",
action='store_true')
group.add_argument("-cl", "--classification_model", default=False, help="If the model's output are labels",
action='store_true')
args = parser.parse_args()
return args
if __name__ == '__main__':
args = parse_args()
app = Gateway(__name__)
app.register_error_handler(Exception, handle_exception)
if args.bounding_box_model:
app.add_inference_route('/', request_handler_bbox)
elif args.segmentation_model_3D:
app.add_inference_route('/', request_handler_3D_segmentation)
elif args.classification_model:
app.add_inference_route('/', request_handler_classification)
else:
app.add_inference_route('/', request_handler_2D_segmentation)
app.add_healthcheck_route(healthcheck_handler)
app.run(host='0.0.0.0', port=8000, debug=True, use_reloader=True)
{
"label": result_data['type'],
"probability": round(result_data['probability'], 2),
"SOPInstanceUID": dcm.SOPInstanceUID,
"top_left": [0, 0],
"bottom_right": [image_width, image_height]
}
)
return response_json, []
def request_handler(json_input, dicom_instances, input_digest):
"""
A mock inference model that returns a mask array of ones of size (height * depth, width)
"""
transaction_logger = tagged_logger.TaggedLogger(logger)
transaction_logger.add_tags({'input_hash': input_digest})
transaction_logger.info('mock_model received json_input={}'.format(json_input))
return get_prediction_covid(dicom_instances)
if __name__ == '__main__':
x_ray = Xray()
app = Gateway(__name__)
app.register_error_handler(Exception, handle_exception)
app.add_inference_route('/', request_handler)
app.run(host='0.0.0.0', port=8000, debug=True, use_reloader=True)
