Information processing method, non-transitory computer-readable storage medium, and information processing device

Abstract

An information processing method according to the application concerned is implemented in a computer; and includes obtaining a two-dimensional simulation image that is formed when a plurality of target subjects present in a three-dimensional simulation space is captured by a virtual camera, and generating the simulation image that visually displays information indicating the degree of overlapping of the plurality of target subjects in the simulation image.

What is claimed is: 
     
         1 . An information processing method implemented in a computer, comprising:
 obtaining a two-dimensional simulation image that is formed when a plurality of target subjects present in a three-dimensional simulation space is captured by a virtual camera; and   generating the simulation image that visually displays information indicating degree of overlapping of the plurality of target subjects in the simulation image.   
     
     
         2 . The information processing method according to  claim 1 , wherein the generating includes calculating, based on position coordinates of each of the plurality of target subjects present in the three-dimensional simulation space and based on position coordinates of the virtual camera, information indicating degree of overlapping of the plurality of target subjects in the simulation image. 
     
     
         3 . The information processing method according to  claim 1 , wherein, when the simulation image is input to a machine learning model, the generating includes training the machine learning model to output correct-solution information that is generated based on parameter information used in generating the simulation image, or to output information corresponding to the correct-solution data. 
     
     
         4 . The information processing method according to any one of  claim 1 , further comprising estimating that includes using the already-trained machine learning model generated at the generating and estimating information related to the plurality of target subjects from a taken image in which the plurality of target subjects are captured. 
     
     
         5 . The information processing method according to  claim 4 , wherein the estimating includes estimating, as information related to the plurality of target subjects, count of the plurality of target subjects captured in the taken image. 
     
     
         6 . The information processing method according to  claim 1 , wherein the target subject is a fish, and the plurality of target subjects are a plurality of fish included in a school of fish. 
     
     
         7 . An information processing method comprising:
 obtaining
 value of an internal parameter related to biological characteristic of fish, 
 value of an external parameter related to characteristic of surrounding environment of the fish, 
 value of fish school parameter related to characteristic of behavior exhibited by the fish with respect to other fish, and 
 value of color parameter related to characteristic of color of water in which the fish is present; and 
   generating,
 based on the value of the internal parameter, the value of the external parameter, the value of the fish school parameter, and the value of the color parameter, 
   a simulation image that includes behavior exhibited by every fish belonging to a school of fish.   
     
     
         8 . The information processing method according to  claim 7 , wherein the generating includes
 controlling, based on value of the internal parameter, value of the external parameter, value of the fish school parameter, and value of the color parameter, behavior exhibited by every fish belonging to the school of fish, and   generating the simulation image.   
     
     
         9 . The information processing method according to claim  7 , wherein the generating includes generating the simulation image based on value of the color parameter indicating concentration of chlorophyl in water in a fish preserve in which every fish belonging to the school of fish is present. 
     
     
         10 . The information processing method according to  claim 7 , wherein the generating includes generating the simulation image based on value of the color parameter indicating concentration of floating matter in water in a fish preserve in which every fish belonging to the school of fish is present. 
     
     
         11 . The information processing method according to  claim 7 , wherein the generating includes generating the simulation image based on values of the color parameter indicating intensity of sunlight shining on water in a fish preserve in which every fish belonging to the school of fish is present, and indicating depth of sunlight from water surface in the fish preserve. 
     
     
         12 . The information processing method according to  claim 7 , wherein the generating includes generating the simulation image based on value of the color parameter indicating depth from water surface of a fish preserve, in which every fish belonging to the school of fish is present, to position of a virtual camera. 
     
     
         13 . The information processing method according to  claim 7 , wherein, when the simulation image is input to a machine learning model, the generating includes training the machine learning model to output correct-solution information that is generated based on parameter information used in generating the simulation image, or to output information corresponding to the correct-solution data. 
     
     
         14 . The information processing method according to  claim 13 , further comprising estimating that includes using the already-trained machine learning model generated at the generating and estimating information related to the school of fish from a taken image in which the school of fish is captured. 
     
     
         15 . A non-transitory computer-readable storage medium having stored therein a program that causes a computer to execute a process comprising:
 obtaining a two-dimensional simulation image that is formed when a plurality of target subjects present in a three-dimensional simulation space is captured by a virtual camera; and   generating the simulation image that visually displays information indicating degree of overlapping of the plurality of target subjects in the simulation image.   
     
     
         16 . A non-transitory computer-readable storage medium having stored therein a program that causes a computer to execute a process comprising:
 obtaining
 value of an internal parameter related to biological characteristic of fish, 
 value of an external parameter related to characteristic of surrounding environment of the fish, 
 value of fish school parameter related to characteristic of behavior exhibited by the fish with respect to other fish, and 
 value of color parameter related to characteristic of color of water in which the fish is present; and 
   generating,
 based on the value of the internal parameter, the value of the external parameter, the value of the fish school parameter, and the value of the color parameter, 
   a simulation image that includes behavior exhibited by every fish belonging to a school of fish.   
     
     
         17 . An information processing device comprising:
 an obtaining unit that obtains a two-dimensional simulation image which is formed when a plurality of target subjects present in a three-dimensional simulation space is captured by a virtual camera; and   a generating unit that generates the simulation image which visually displays information indicating degree of overlapping of the plurality of target subjects in the simulation image.   
     
     
         18 . An information processing device comprising:
 an obtaining unit that obtains
 value of an internal parameter related to biological characteristic of fish, 
 value of an external parameter related to characteristic of surrounding environment of the fish, 
 value of fish school parameter related to characteristic of behavior exhibited by the fish with respect to other fish, and 
 value of color parameter related to characteristic of color of water in which the fish is present; and 
   a generating unit that, based on the value of the internal parameter, the value of the external parameter, the value of the fish school parameter, and the value of the color parameter, generates a simulation image that includes behavior exhibited by every fish belonging to a school of fish.