[英]How can i load a image in Python, but keep it compressed?
I have a series of images, all available both on JP2 and PNG, and I need to load this image on a python program to show them in a sequence.我有一系列图像,都可以在 JP2 和 PNG 上使用,我需要在 python 程序上加载这个图像以按顺序显示它们。 Now I need only show a part of the sequence, for example:现在我只需要显示序列的一部分,例如:
You can read the lovely, small JPEG/PNG/JP2 images into memory as a bunch of bytes and hold them there compressed with the same size as they have on disk and then uncompress them from memory when you need them.您可以将可爱的小型 JPEG/PNG/JP2 图像作为一堆字节读取到内存中,并将它们以与磁盘上相同的大小进行压缩,然后在需要时从内存中解压缩它们。
First, let's look at the memory required by a 1280x1024 image of RGB888 in memory - its a whopping 3.9MB:首先,让我们看看内存中 RGB888 的 1280x1024 图像所需的内存 - 高达 3.9MB:
# Decompressed image in memory takes 3.9MB memory
im = np.zeros([1280,1024,3], dtype=np.uint8)
# print(im.nbytes) => 3932160
Now let's look at a JPEG the same size:现在让我们看看同样大小的 JPEG:
Here it is on disk, with ls -l
:这是在磁盘上,使用ls -l
:
-rw-r--r--@ 1 mark staff 47276 2 Apr 17:13 image.jpg
And here it is still compressed in memory, also at 47kB or just 1.2% of the size:在这里它仍然在内存中被压缩,也是 47kB 或大小的 1.2%:
# Same image as JPEG takes 47kB of memory
with open('image.jpg','rb') as f:
jpg = f.read()
# print(len(jpg)) => 47276
Now when you want an image, decompress it from memory rather than from disk现在当你想要一个图像时,从内存而不是从磁盘解压它
# Read with 'imageio'
from io import BytesIO
import imageio
numpyArray = imageio.imread(BytesIO(jpg))
# print(numpyArray.shape) =>(1024, 1280, 3)
# Or, alternatively, and probably faster, read with OpenCV
import cv2
numpyArray = cv2.imdecode(np.frombuffer(jpg,dtype=np.uint8), -1)
# print(numpyArray.shape) =>(1024, 1280, 3)
Another, totally different option that will decode miles faster, but will only reduce the memory footprint by a factor of 3 is to palettise the images.另一个完全不同的选项可以更快地解码数英里,但只会将内存占用减少 3 倍,是对图像进行调色。 You reduce the number of colours down to less than 256 unique colours, and store a palette with 256 colours.您将颜色数量减少到少于 256 种独特颜色,并存储具有 256 种颜色的调色板。 At each pixel location, you then store a single byte which is the index into the palette, rather than 3 bytes of RGB.然后在每个像素位置存储一个字节,它是调色板的索引,而不是 3 个字节的 RGB。 This will reduce your memory usage from 3.9MB/image to 1.3MB/image.这会将您的内存使用量从 3.9MB/图像减少到 1.3MB/图像。 It will not require any decoding.它不需要任何解码。 but may result in slight loss of colour fidelity and/or banding - which may or may not be an issue depending on the quality of your camera/images.但可能会导致色彩保真度和/或条纹的轻微损失 - 这可能是也可能不是问题,具体取决于您的相机/图像的质量。
That looks something like this (untested):看起来像这样(未经测试):
from PIL import Image
import numpy as np
im = Image.open('image.jpg')
# Make into Numpy array - size is 3.9MB
a = np.array(im)
# Now make a 256 colour palletised version
p = im.convert('P',palette=Image.ADAPTIVE)
# Make into Numpy array - size is now only 1.3MB
a = np.array(p)
PIL is the Python Imaging Library which provides the python interpreter with image editing capabilities. PIL 是 Python 图像库,它为 Python 解释器提供图像编辑功能。
Windows: Download the appropriate Pillow package according to your python version. Windows:根据您的 python 版本下载适当的 Pillow 包。 Make sure to download according to the python version you have.确保根据您拥有的python版本下载。
To import the Image module, our code should begin with the following line:要导入 Image 模块,我们的代码应以以下行开头:
from PIL import Image
Open a particular image from a path
#img = Image.open(path)
# On successful execution of this statement,
# an object of Image type is returned and stored in img variable)
try:
img = Image.open(path)
except IOError:
pass
# Use the above statement within try block, as it can
# raise an IOError if file cannot be found,
# or image cannot be opened.
Retrieve size of image: The instances of Image class that are created have many attributes, one of its useful attribute is size.检索图像大小:创建的 Image 类的实例有很多属性,其中一个有用的属性是大小。
from PIL import Image
filename = "image.png"
with Image.open(filename) as image:
width, height = image.size
#Image.size gives a 2-tuple and the width, height can be obtained
Some other attributes are: Image.width, Image.height, Image.format, Image.info etc.其他一些属性是:Image.width、Image.height、Image.format、Image.info 等。
Save changes in image: To save any changes that you have made to the image file, we need to give path as well as image format.保存图像中的更改:要保存您对图像文件所做的任何更改,我们需要提供路径和图像格式。
img.save(path, format)
# format is optional, if no format is specified,
#it is determined from the filename extension
from PIL import Image
def main():
try:
#Relative Path
img = Image.open("picture.jpg")
width, height = img.size
img = img.resize((width/2, height/2))
#Saved in the same relative location
img.save("resized_picture.jpg")
except IOError:
pass
if __name__ == "__main__":
main()
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