Non-transitory computer-readable recording medium and information processing device
AssigneeFujitsu Limited
InventorShunichi WATANABE
Life of this patent
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Abstract
A non-transitory computer-readable recording medium has stored therein an inference program that causes a computer to execute a process including acquiring first image data captured in an environment that is different from an environment in pre-training of a machine learning model identifying a foreground area from the first image data generating composite image data based on the foreground area and second image data that is used in the pre-training of the machine learning model and acquiring an inference result by inputting the composite image data to the machine learning model.
Claims10
A non-transitory computer-readable recording medium having stored therein an inference program that causes a computer to execute a process comprising:
- acquiring first image data captured in an environment that is different from an environment in pre-training of a machine learning model;
- identifying a foreground area from the first image data;
- generating composite image data based on the foreground area and second image data that is used in the pre-training of the machine learning model;
- and
- acquiring an inference result by inputting the composite image data to the machine learning model.
A non-transitory computer-readable recording medium having stored therein a training program that causes a computer to execute a process comprising:
- identifying a foreground area from first image data in training data that is used in pre-training of a machine learning model;
- generating composite image data based on the foreground area and second image data captured in an environment that is different from an environment in the pre-training of the machine learning model;
- and
- executing fine tuning of the machine learning model based on the composite image data.
An information processing device comprising:
- a memory;
- and
- a processor coupled to the memory and configured to:
- acquire first image data captured in an environment that is different from an environment in pre-training of a machine learning model;
- identify a foreground area from the first image data;
- generate composite image data based on the foreground area and second image data that is used in the pre-training of the machine learning model;
- and
- acquire an inference result by inputting the composite image data to the machine learning model.
An information processing device comprising:
- a memory;
- and
- a processor coupled to the memory and configured to:
- identify a foreground area from first image data in training data that is used in pre-training of a machine learning model;
- generate composite image data based on the foreground area and second image data captured in an environment that is different from an environment in the pre-training of the machine learning model;
- and
- execute fine tuning of the machine learning model based on the composite image data.
Dependencies are inferred from the claim text.