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METHOD AND APPARATUS FOR GENERATING LEARNING DATA REQUIRED TO LEARN ANIMATION CHARACTERS BASED ON DEEP LEARNING

机译:基于深度学习生成学习动画字符所需的学习数据的方法和装置

摘要

Disclosed is a method and apparatus for generating learning data necessary for learning an animation character based on deep learning. The method of generating training data necessary for learning an animation character based on deep learning includes the steps of collecting various images from the outside using wired or wireless communication, acquiring a character image from the image collected using a character detection model, and obtaining a character image. It may include performing clustering on the character image, selecting training data from the clustered images, and inputting the selected training data into an artificial neural network for character recognition.
机译:公开了一种用于基于深度学习生成学习动画字符所必需的学习数据的方法和装置。生成基于深度学习学习动画字符所需的训练数据的方法包括使用有线或无线通信从外部收集各种图像的步骤,从使用字符检测模型收集的图像获取字符图像,并获得字符图像。它可以包括在字符图像上执行聚类,从聚类图像中选择训练数据,并将所选择的训练数据输入到人工神经网络中以进行字符识别。

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