Tattoo classification and recognition method, apparatus, device and medium

An electronic device, comprising:

• a memory, a processor, wherein the processor is electrically connected to the memory, the memory stores a computer program executable by the at least one processor, the computer program, when executed by the at least one processor, causes the at least one processor to perform the following steps of:
• acquiring a plurality of types of skin image data, and performing type annotation on the skin image data to obtain skin type images;
• acquiring a plurality of skin images to be recognized, and determining skin appearance features of the skin images to be recognized according to the skin type images;
• selecting a feature extraction algorithm of the skin images to be recognized according to the skin appearance features;
• performing pointwise convolution and depthwise convolution on the skin image to be recognized according to the selected feature extraction algorithm to obtain a tattoo probability of each skin image to be recognized;
• if the tattoo probability is less than or equal to a preset probability threshold, obtaining a judgment result that the skin type of the skin image to be recognized, of which the tattoo probability is less than or equal to the probability threshold, is not a tattoo;
• if the tattoo probability is greater than the probability threshold, converting the skin images to be recognized with a tattoo probability of being greater than the probability threshold into a sequence of the skin to be recognized;
• and
• acquiring a tattoo classification label, and performing feature recognition on the sequence of the skin to be recognized using the tattoo classification label to obtain a tattoo classification result.

A non-volatile computer-readable storage medium having stored thereon a computer program, wherein the computer program, when executed by one or more processors, causes the one or more processors to perform the following steps of:

• acquiring a plurality of types of skin image data, and performing type annotation on the skin image data to obtain skin type images;
• acquiring a plurality of skin images to be recognized, and determining skin appearance features of the skin images to be recognized according to the skin type images;
• selecting a feature extraction algorithm of the skin images to be recognized according to the skin appearance features;
• performing pointwise convolution and depthwise convolution on the skin image to be recognized according to the selected feature extraction algorithm to obtain a tattoo probability of each skin image to be recognized;
• if the tattoo probability is less than or equal to a preset probability threshold, obtaining a judgment result that the skin type of the skin image to be recognized, of which the tattoo probability is less than or equal to the probability threshold, is not a tattoo;
• if the tattoo probability is greater than the probability threshold, converting the skin images to be recognized with a tattoo probability of being greater than the probability threshold into a sequence of the skin to be recognized;
• and
• acquiring a tattoo classification label, and performing feature recognition on the sequence of the skin to be recognized using the tattoo classification label to obtain a tattoo classification result.