不久前，我编写了一个名为 rawpy 的 libraw/dcraw 包装器。它非常容易使用：
import rawpy import imageio raw = rawpy.imread('image.nef') rgb = raw.postprocess() imageio.imsave('default.tiff', rgb)
它原生地与 numpy 数组一起工作，并支持很多选项，包括直接访问未处理的拜耳数据。
A while ago I wrote a libraw/dcraw wrapper called rawpy. It is quite easy to use:
It works natively with numpy arrays and supports a lot of options, including direct access to the unprocessed Bayer data.
ImageMagick 支持大多数 RAW 格式 并提供 Python 绑定。
至于Python的dcraw绑定：dcraw是用C编写的，因此您可以通过 ctypes 访问它模块。
ctypes 访问它
ImageMagick supports most RAW formats and provides Python bindings.
As for dcraw bindings for Python: dcraw is written in C, so you can access it through ctypes module.
ctypes
这是一种使用 rawkit 将佳能 CR2 图像转换为友好格式的方法，适用于其当前的实现：
import numpy as np from PIL import Image from rawkit.raw import Raw filename = '/path/to/your/image.cr2' raw_image = Raw(filename) buffered_image = np.array(raw_image.to_buffer()) image = Image.frombytes('RGB', (raw_image.metadata.width, raw_image.metadata.height), buffered_image) image.save('/path/to/your/new/image.png', format='png')
使用 numpy 数组在这里不是很优雅，但至少它可以工作，我不知道如何使用 PIL 构造函数来实现相同的目的。
Here is a way to convert a canon CR2 image to a friendly format with rawkit, that works with its current implementation:
Using a numpy array is not very elegant here but at least it works, I could not figure how to use PIL constructors to achieve the same.
尝试 http://libopenraw.freedesktop.org/wiki/GettingTheCode
Git 存储库：git://anongit.freedesktop.org/git/libopenraw.git
源代码树中有一个 python 目录。 ;-)
Try http://libopenraw.freedesktop.org/wiki/GettingTheCode
Git repo:git://anongit.freedesktop.org/git/libopenraw.git
There is a python directory in the source tree. ;-)
我不确定 Python 成像库 (PIL http://www.pythonware .com/products/pil/）是，但您可能想检查一下。
否则，你可以直接调用 dcraw，因为它已经很好地解决了这个问题。
I'm not sure how extensive the RAW support in Python Imaging Library (PIL http://www.pythonware.com/products/pil/) is, but you may want to check that out.
Otherwise, you could just call dcraw directly since it already solves this problem nicely.
我发现了这个： https://gitorious.org/dcraw-thumbnailer/mainline /blobs/master/dcraw-thumbnailer
它从 python 调用 dcraw 作为进程，并将其转换为 PIL 对象。
I found this: https://gitorious.org/dcraw-thumbnailer/mainline/blobs/master/dcraw-thumbnailer
It calls dcraw as a process from python and converts it to a PIL object.
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不久前，我编写了一个名为 rawpy 的 libraw/dcraw 包装器。它非常容易使用：
它原生地与 numpy 数组一起工作，并支持很多选项，包括直接访问未处理的拜耳数据。
A while ago I wrote a libraw/dcraw wrapper called rawpy. It is quite easy to use:
It works natively with numpy arrays and supports a lot of options, including direct access to the unprocessed Bayer data.
ImageMagick 支持大多数 RAW 格式 并提供 Python 绑定。
至于Python的dcraw绑定：dcraw是用C编写的，因此您可以通过
ctypes 访问它模块。ImageMagick supports most RAW formats and provides Python bindings.
As for dcraw bindings for Python: dcraw is written in C, so you can access it through
ctypesmodule.这是一种使用 rawkit 将佳能 CR2 图像转换为友好格式的方法，适用于其当前的实现：
使用 numpy 数组在这里不是很优雅，但至少它可以工作，我不知道如何使用 PIL 构造函数来实现相同的目的。
Here is a way to convert a canon CR2 image to a friendly format with rawkit, that works with its current implementation:
Using a numpy array is not very elegant here but at least it works, I could not figure how to use PIL constructors to achieve the same.
尝试 http://libopenraw.freedesktop.org/wiki/GettingTheCode
Git 存储库：
git://anongit.freedesktop.org/git/libopenraw.git
源代码树中有一个 python 目录。 ;-)
Try http://libopenraw.freedesktop.org/wiki/GettingTheCode
Git repo:
git://anongit.freedesktop.org/git/libopenraw.git
There is a python directory in the source tree. ;-)
我不确定 Python 成像库 (PIL http://www.pythonware .com/products/pil/）是，但您可能想检查一下。
否则，你可以直接调用 dcraw，因为它已经很好地解决了这个问题。
I'm not sure how extensive the RAW support in Python Imaging Library (PIL http://www.pythonware.com/products/pil/) is, but you may want to check that out.
Otherwise, you could just call dcraw directly since it already solves this problem nicely.
我发现了这个： https://gitorious.org/dcraw-thumbnailer/mainline /blobs/master/dcraw-thumbnailer
它从 python 调用 dcraw 作为进程，并将其转换为 PIL 对象。
I found this: https://gitorious.org/dcraw-thumbnailer/mainline/blobs/master/dcraw-thumbnailer
It calls dcraw as a process from python and converts it to a PIL object.