Surpassing Real-World Source Training Data: Random 3D Characters for Generalizable Person Re-Identification

[ACM MM-2021] WePerson: learning a generalized re-identification model from all-weather virtual data

Prepare a data set based on the model that you already have, then experiment with 'training' your 'Machine Learning' tool on this data. Did it recognize the model? Sorry, that was a stupid question. Why didn't it? You can find out with the help of these tools here.

Usage of model averaging to improve total credit gap as predictor of financial crises

一个比较复杂的生成真实场景文字的Python项目。原项目只能生成英文。 经过修改之后能够生成中文。 并且我也添加了图片中文字的切割和对应label的保存代码。