SkinDeep-黑科技一键去除图片、视频中的纹身。 不知道你们有没有看过《中国有嘻哈》,节目中的 Rapper 性格乖张叛逆。他们从骨子里就有一种傲气,谁都不服。 从歌词中也能看得出来:老子吃火锅,你吃火锅底料。 不出所料,《中国有嘻哈》播出后大获成功,一群地下 Rapper 也借助这股风飞起来了,混的风生水起,...
Guive Balooch：欧莱雅内部，美妆科技相关的产品和技术矩阵主要可以分为三大类。第一大类被称之为诊断类产品，帮助消费者更好地评估自身皮肤和头发状况，比如兰蔻SkinScreen肌肤检测仪，应用于线下门店，目前欧莱雅正在针对头发研发类似的产品。第二大类是数字化服务。例如，欧莱雅ModiFace虚拟试妆和肌肤检测工具，提供基...
The Skin Deep is your source for the best relationship card games in the world. The only Emmy award winning relationship card game company and creators of {THE AND}, Kidulting, and Honest X conversation card games. Explore your relationships including fr
SkinDeep的开发者是Vijish Madhavan,上文中用于制作全身图像的ArtLine(用于生成线条肖像),就是他的杰作,在GitHub上收获了2.8K颗星。 △ArtLine效果图 也许SkinDeep未来可以用在电视节目中,观众们不必再面对高糊画面了。 “擦除”工具的GitHub、Colab链接已在文末送上,感兴趣的小伙伴可以去尝试一下~ 参考链接: [1...
这个工具叫做SkinDeep,开发者利用深度学习去掉照片中的纹身,力图得到与Photoshop媲美的效果,从而减少工作量。 训练效果 那么它是如何做到的? 由于无法找到大量的纹身图像来训练模型,开发小哥决定自己动手。 使用Python OpenCV合成纹身图像,将APDrawing数据集图像,和去除背景的纹身图案进行叠加,对于全身图像,则是利用ArtLine完...
Remove Tattoos from Photos using AI with this Free Tool: SkinDeep Getting started withSkinDeepis very simple. You justgo to its GitHub page and then find the Google Colab linkto the Notebook. See the screenshot below how the Colab icon looks like. ...
SKIN DEEP.Ross, NicoleSalonnews
Facial skin remodeling and improve skin elasticity Anti -Aging Elimination of wrinkle Skin rejuvenation Feactures: 1. Handle 1-skin peeling Deep skin clean, Removing Dead Skin Cell Detox Pore Tightening, Sebum Control, Blackhead & Whitehead Removal Acne Care 2. Handle 2---Iontophores...
The convenient pump design allows for easy dispensing, and the product is praised for its ability to leave skin feeling soft and hydrated. However, some guests have noted recent formula changes that have affected their experience. Summary created by AI from text of reviews reflecting recent feed...
Machine learning promises to assist physicians with predictions of mortality and of other future clinical events by learning complex patterns from historical data, such as longitudinal electronic health records. Here we show that a convolutional neural n