def run_inference_for_single_image(image, graph):
    with tf.Session(graph = graph) as sess:
        ops = graph.get_operations()
        all_tensor_names = {output.name for op in ops for output in op.outputs}
        tensor_dict = {}
        for key in [
            'num_detections', 'detection_boxes', 'detection_scores',
            'detection_classes', 'detection_masks']:
            tensor_name = model_name + '/' + key + ':0'
            if tensor_name in all_tensor_names:
                tensor_dict[key] = graph.get_tensor_by_name(tensor_name)