Abstract: According to an exemplary embodiment of the present disclosure, a computer program stored in a computer readable storage medium is disclosed. The computer program causes one or more processors to perform operations below for performing calibration when the one or more processors are executed, and the operations may include: an operation of inputting an image to an object detection model and performing object detection by using the object detection model; an operation of acquiring bounding box information on the detected object; and an operation of performing calibration on an image acquisition device based on at least a part of the bounding box information.

Abstract: According to an exemplary embodiment of the present disclosure, a computer program stored in a computer readable storage medium is disclosed. The computer program causes one or more processors to perform operations below for performing calibration when the one or more processors are executed, and the operations may include: an operation of inputting an image to an object detection model and performing object detection by using the object detection model; an operation of acquiring bounding box information on the detected object; and an operation of performing calibration on an image acquisition device based on at least a part of the bounding box information.

Abstract: Provided is a method for executing a query in a DBMS. The method may include: receiving a query statement including a pivot operator—the query statement being associated with an original table; executing a pivot operation for the original table in response to reception of the query statement; generating BLOB data by serializing at least a part of an execution result of the pivot operation to a BLOB type; and storing the generated BLOB data in a pivot table.

Abstract: Provided is a method for executing a query in a DBMS. The method may include: receiving a query statement for requesting BLOB data serialized to a binary large object (BLOB) type and stored in a pivot table; determining name information for one or more columns generated as a result of a pivot operation included in respective pivot columns of the pivot table by querying a pivot name table for the pivot table; determining internal storage type information of the pivot table by querying a pivot meta table for the pivot table; and generating output information for the BLOB data corresponding to the query statement based on the determined name information and internal storage type information.

Abstract: Provided is a method for executing a query in a DBMS. The method may include: receiving a query statement including a pivot operator—the query statement being associated with an original table; executing a pivot operation for the original table in response to reception of the query statement; generating BLOB data by serializing at least a part of an execution result of the pivot operation to a BLOB type; and storing the generated BLOB data in a pivot table.

Abstract: Provided is a method for executing a query in a DBMS. The method may include: receiving a query statement for requesting BLOB data serialized to a binary large object (BLOB) type and stored in a pivot table; determining name information for one or more columns generated as a result of a pivot operation included in respective pivot columns of the pivot table by querying a pivot name table for the pivot table; determining internal storage type information of the pivot table by querying a pivot meta table for the pivot table; and generating output information for the BLOB data corresponding to the query statement based on the determined name information and internal storage type information.