首先要介绍的是 Python Imaging Library,使用方法如下:
复制代码 代码如下:
from PIL import Image
from PIL.ExifTags import TAGS
def get_exif_data(fname):
"""Get embedded EXIF data from image file."""
ret = {}
try:
img = Image.open(fname)
if hasattr( img, '_getexif' ):
exifinfo = img._getexif()
if exifinfo != None:
for tag, value in exifinfo.items():
decoded = TAGS.get(tag, tag)
ret[decoded] = value
except IOError:
print 'IOERROR ' + fname
return ret
if __name__ == '__main__':
fileName = 'C:/Users/Leyond/Desktop/IMG_20121122_153514.jpg'
exif = get_exif_data(fileName)
print exif
返回的清单如下:
复制代码 代码如下:
ExifVersion
ComponentsConfiguration
ExifImageWidth
DateTimeOriginal
DateTimeDigitized
ExifInteroperabilityOffset
FlashPixVersion
MeteringMode
LightSource
Flash
FocalLength
41986
ImageDescription
Make
Model
Orientation
YCbCrPositioning
41988
XResolution
YResolution
59932
ExposureTime
ExposureProgram
ColorSpace
41990
ISOSpeedRatings
ResolutionUnit
41987
FNumber
Software
DateTime
ExifImageHeight
ExifOffset
其中59932,是一大串十六进制的字符,不知为啥。除了PIL之外,还有许多类库可供使用:
Media Metadata for Python
EXIF.py
Python Exif Parser
A Blogger's Exif Parser
pyexiv2
接着看EXIF.PY,使用方法非常简单:exif.py IMG_20121122_153514.jpg
复制代码 代码如下:
EXIF ColorSpace (Short): sRGB
EXIF ComponentsConfiguration (Undefined): YCbCr
EXIF DateTimeDigitized (ASCII): 2012:11:22 15:35:14
EXIF DateTimeOriginal (ASCII): 2012:11:22 15:35:14
EXIF DigitalZoomRatio (Ratio): 1
EXIF ExifImageLength (Long): 2560
EXIF ExifImageWidth (Long): 1920
EXIF ExifVersion (Undefined): 0220
EXIF ExposureBiasValue (Signed Ratio): 0
EXIF ExposureMode (Short): Auto Exposure
EXIF ExposureProgram (Short): Portrait Mode
EXIF ExposureTime (Ratio): 1/256
EXIF FNumber (Ratio): 14/5
EXIF Flash (Short): Flash did not fire
EXIF FlashPixVersion (Undefined): 0100
EXIF FocalLength (Ratio): 35
EXIF ISOSpeedRatings (Short): 56
EXIF InteroperabilityOffset (Long): 4810
EXIF LightSource (Short): other light source
EXIF MeteringMode (Short): CenterWeightedAverage
EXIF Padding (Undefined): []
EXIF SceneCaptureType (Short): Portrait
EXIF WhiteBalance (Short): Auto
Image DateTime (ASCII): 2012:11:24 09:44:50
Image ExifOffset (Long): 2396
Image ImageDescription (ASCII):
Image Make (ASCII):
Image Model (ASCII):
Image Orientation (Short): Horizontal (normal)
Image Padding (Undefined): []
Image ResolutionUnit (Short): Pixels/Inch
Image Software (ASCII): Microsoft Windows Photo Viewer 6.1.7600.16385
Image XResolution (Ratio): 72
Image YCbCrPositioning (Short): Co-sited
Image YResolution (Ratio): 72
Thumbnail Compression (Short): JPEG (old-style)
Thumbnail JPEGInterchangeFormat (Long): 4970
Thumbnail JPEGInterchangeFormatLength (Long): 3883
Thumbnail Orientation (Short): Horizontal (normal)
Thumbnail ResolutionUnit (Short): Pixels/Inch
Thumbnail XResolution (Ratio): 72
Thumbnail YCbCrPositioning (Short): Co-sited
Thumbnail YResolution (Ratio): 72
至于Python Exif Parser,好像没更新很久了,使用方法也很类似:
复制代码 代码如下:
import exif
photo_path = "somePath\to\a\photo.jpg"
data = exif.parse(photo_path)
其他类库请自行研究。
P70系列延期,华为新旗舰将在下月发布
3月20日消息,近期博主@数码闲聊站 透露,原定三月份发布的华为新旗舰P70系列延期发布,预计4月份上市。
而博主@定焦数码 爆料,华为的P70系列在定位上已经超过了Mate60,成为了重要的旗舰系列之一。它肩负着重返影像领域顶尖的使命。那么这次P70会带来哪些令人惊艳的创新呢?
根据目前爆料的消息来看,华为P70系列将推出三个版本,其中P70和P70 Pro采用了三角形的摄像头模组设计,而P70 Art则采用了与上一代P60 Art相似的不规则形状设计。这样的外观是否好看见仁见智,但辨识度绝对拉满。
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