Python中的OpenCV高动态范围 [英] OpenCV High Dynamic Range in Python

问题描述

我是使用Python的OpenCV的新手，并且正在寻找使用Python在OpenCV中使用HDR的一些教程.我发现了几个链接，其中有一些小片段说明C ++中的用法，但是我找不到Python中的任何教程.它们是OpenCV-Python中HDR的扩展吗?如果是这样，任何人都可以提供相同教程的链接吗?如果没有，那么谁能解释如何在OpenCV-Python中实现我们自己的功能，例如ToneMap?

I am new to OpenCV with Python and was looking for some tutorial on HDR usage in OpenCV using Python. I have found a couple of links with small snippets to illustrate the usage in C++ however I was unable to find any tutorial in Python. Is their an extension of HDR in OpenCV-Python? If so, can anyone provide with a link of some tutorial for the same? If not, can anyone explain how to go about implementing our own functions like ToneMap in OpenCV-Python?

推荐答案

有一个

There is a nice Python tutorial on official OpenCV website about HDR images generation/tonemapping using the high-level functions showcased in your original link.

关于HDR图像I/O，您可以从具有OpenEXR依赖关系的源代码构建OpenCV，以启用对16位(一半)和32位(浮动)EXR图像文件的读取/写入.

About HDR image i/o, you can build OpenCV from source with OpenEXR dependency to enable read/write of 16bit (half) and 32bit (float) EXR image files.

这篇关于Python中的OpenCV高动态范围的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！