kaggle_carvana_segmentation:Carvana Image Masking Challenge中第一名模型的代码-源码
Kaggle Carvana图像遮罩挑战
中第一的解决方案的代码。
我们使用了CNN在图像中对汽车进行了细分。 为了获得最佳结果，我们使用多个不同的网络网络（Linknet，具有自定义编码器的类似Unet的CNN，具有VGG11编码器的多种类型的类似于Unet的CNN）。
我们的队伍：
Artsiom Sanakoyeu（ ）
亚历山大·布斯拉耶夫（ ）
弗拉基米尔·伊格洛维科夫（ ）
博客文章解释了解决方案： ://medium.com/kaggle-blog/carvana-image-masking-challenge-1st-place-winners-interview-78fcc5c887a8
要求
要训练最终模型，您将需要满足以下条件：
操作系统：Ubuntu 16.04
所需的硬件：
任何具有x86-64 CPU的体面的现代计算机，
32
文件下载
资源详情
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