wild

Barbara Bennett's Wild Numbers POJ - 3340(贪心)

做~自己de王妃 提交于 2020-01-21 01:54:04
A wild number is a string containing digits and question marks (like 36?1?8). A number X matches a wild number W if they have the same length, and every non-question mark character in X is equal to the character in the same position in W (it means that you can replace a question mark with any digit). For example, 365198 matches the wild number 36?1?8, but 360199, 361028, or 36128 does not. Write a program that reads a wild number W and a number X from input, both of length n, and determines the number of n-digit numbers that match W and are greater than X. Input There are multiple test cases

How do I suppress “unused in wild import” warning in pydev?

匿名 (未验证) 提交于 2019-12-03 08:35:02
可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效,请关闭广告屏蔽插件后再试): 问题: How do I suppress "unused in wild import" warning in pydev? 回答1: Suppressing warning message for import / wild import from django.db import connection #@UnusedImport from django.db import * #@UnusedWildImport 文章来源: How do I suppress “unused in wild import” warning in pydev?

Depth from Videos in the Wild 剖析

匿名 (未验证) 提交于 2019-12-02 23:49:02
2019年7月17日11:37:05 论文 Depth from Videos in the Wild: Unsupervised Monocular Depth Learning from Unknown Cameras 主要有几个亮点: 1,处理移动物体时 instance segmentation and tracking are not required,不需要实例分割,   虽然文章里说还是需要一个网络预测可能移动的区域,但比起需要实例分割,难度还是下降了点。 2,occlusion-aware consistency 遮挡情形下的深度预测一致性 3,能够通过网络学习内参 这篇文章还是有点干货的,毕竟谷歌出品。 先讨论第二点,遮挡情形下的深度预测的问题 这里很好理解也比较好实现: 左右两个相机对同一个场景进行观察,但是因为存在遮挡的原因,左右两个相机对 同一个三维点的深度预测结果不一致。这些遮挡区域有什么特点呢? 左右两个相机对同一个三维点的预测深度分别为$\mathbf{z}_{L}$和$\mathbf{z}_{R}$ 然后 把$\mathbf{z}_{L}$变换(warp)到右相机所在的位置得到深度$z_{L}^{\prime}$ 把$\mathbf{z}_{R}$变换到左相机所在的位置得到深度$z_{R}^{\prime}$ we apply photometric