Image processing system for performing multi-stage search process, processing method, and non-transitory storage medium

A processing method comprising,

• by one or a plurality of computers:
• acquiring a target image;
• performing processing of detecting a plurality of keypoints of a human body included in the target image;
• extracting a first set of reference images whose relationship with the target image satisfies a first extraction condition, from among a plurality of reference images, based on the detected keypoints;
• receiving a first input for changing a second extraction condition;
• extracting a second reference image whose relationship with the target image satisfies the second extraction condition, from among the first set of reference images, based on the detected keypoints;
• displaying the second reference image on a display apparatus;
• receiving a second input for changing the second extraction condition;
• newly extracting, in response to reception of the second input for changing the second extraction condition, the second reference image whose relationship with the target image satisfies the second extraction condition after a change, from among the first set of reference images;
• changing a content to be displayed on the display apparatus from the second reference image that satisfies the second extraction condition before a change to the second reference image that satisfies the second extraction condition after a change;
• receiving a keypoint selection input for selecting, on a human model formed of a plurality of the detected keypoints, one of the detected keypoints as a setting target;
• receiving a weight selection input for changing a weight of the selected keypoint via a setting screen;
• and
• receiving an input for changing the second extraction condition via the setting screen that displays, in different manners:
• a keypoint of the human model whose set weight is greater than a threshold value;
• and
• other keypoints of the human model.

A non-transitory storage medium storing a program causing a computer to:

• acquire a target image;
• perform processing of detecting a plurality of keypoints of a human body included in the target image;
• extract a first set of reference images whose relationship with the target image satisfies a first extraction condition, from among a plurality of reference images, based on the detected keypoints;
• receive a first input for changing a second extraction condition;
• extract a second reference image whose relationship with the target image satisfies the second extraction condition, from among the first set of reference images, based on the detected keypoints;
• display the second reference image on a display apparatus;
• receive a second input for changing the second extraction condition;
• newly extract, in response to reception of the second input for changing the second extraction condition, the second reference image whose relationship with the target image satisfies the second extraction condition after a change, from among the first set of reference images;
• change a content to be displayed on the display apparatus from the second reference image that satisfies the second extraction condition before a change to the second reference image that satisfies the second extraction condition after a change;
• receive a keypoint selection input for selecting, on a human model formed of a plurality of the detected keypoints, one of the detected keypoints as a setting target;
• receive a weight selection input for changing a weight of the selected keypoint via a setting screen;
• and
• receive an input for changing the second extraction condition via the setting screen that displays, in different manners:
• a keypoint of the human model whose set weight is greater than a threshold value;
• and
• other keypoints of the human model.