简介
在线体验： https://cheerfun.dev/acg2vec/#Pix2Score
github 主仓库地址（ tensorflow 的 savemodel 格式可以在 release 中下载）： https://github.com/OysterQAQ/ACG2vec （求 star ～）
基于resnet101对插画的浏览数、收藏数、情色级别的分类预测，以 1e-3 的学习率在动漫插画数据集下进行训练，输入尺寸为 224x224 ，输出字典为
{
"bookmark_predict": {
"0": "0-10",
"1": "10-30",
"2": "30-50",
"3": "50-70",
"4": "70-100",
"5": "100-130",
"6": "130-170",
"7": "170-220",
"8": "220-300",
"9": "300-400",
"10": "400-550",
"11": "550-800",
"12": "800-1300",
"13": "1300-2700",
"14": "2700-∞"
},
"view_predict": {
"0": "0-500",
"1": "500-700",
"2": "700-1000",
"3": "1000-1500",
"4": "1500-2000",
"5": "2000-2500",
"6": "2500-3000",
"7": "3000-4000",
"8": "4000-5000",
"9": "5000-6500",
"10": "6500-8500",
"11": "8500-12000",
"12": "12000-19000",
"13": "19000-35000",
"14": "35000-∞"
},
"sanity_predict": {
"0": "0-2",
"1": "2-4",
"2": "4-6",
"3": "6-7",
"4": "7-∞"
}
}
预览
项目过程中解决的问题
