python读取图像的exif信息

python 读取图像的exif信息
import exifread
PIL函数实现

python 读取图像的exif信息

前几天用PYQT做了一个工具，打开图片发现和原图像有一个转动的变化，后来发现是exif头的信息没有读取，当用open(“name.jpg”, ‘rb’) 以二进制流的形式打开图像，我们如何得到图像的exif信息呢？

import exifread

pip install exifread
导入exifread库，
f = open(filename, 'rb') tags = exifread.process_file(f)
如果你选择的图片有exif信息的话，打印一下tags会是一个字典类型，例如：

{"Image ImageDescription": (0x010E) ASCII= @ 18, "Image Make": (0x010F) ASCII=SONY @ 2266, "Image Model": (0x0110) ASCII=ILCE-6000 @ 2272, "Image Orientation": (0x0112) Short=Rotated 180 @ 54, "Image Software": (0x0131) ASCII=ILCE-6000 v3.20 @ 2282,"Image DateTime": (0x0132) ASCII=2015:01:13 04:27:23 @ 2298,"Image YCbCrPositioning": (0x0213) Short=Co-sited @ 90,"Image ExifOffset": (0x8769) Long=2318 @ 102,"Image SensitivityType": (0x8830) Short=Recommended Exposure Index @ 114,"Image RecommendedExposureIndex": (0x8832) Long=400 @ 126,"Image XPTitle": (0x9C9B) Byte=[0, 0] @ 138,"Image XPSubject": (0x9C9F) Byte=[32, 0, 32, 0, 32, 0, 32, 0, 32, 0, 32, 0, 32, 0, 32, 0, 32, 0, 32, 0, ... ] @ 42146,"Image LensSpecification": (0xA432) Ratio=[16, 50, 7/2, 28/5] @ 42210,"Image LensModel": (0xA434) ASCII=E PZ 16-50mm F3.5-5.6 OSS @ 42242,"Image PrintIM": (0xC4A5) Undefined=[80, 114, 105, 110, 116, 73, 77, 0, 48, 51, 48, 48, 0, 0, 3, 0, 2, 0, 1, 0, ... ] @ 42268,"Image Padding": (0xEA1C) Undefined=[] @ 206,"EXIF ExposureTime": (0x829A) Ratio=1/160 @ 4840,"EXIF FNumber": (0x829D) Ratio=28/5 @ 4848,"EXIF ExposureProgram": (0x8822) Short=Program Normal @ 2352,"EXIF ISOSpeedRatings": (0x8827) Short=400 @ 2364,"EXIF ExifVersion": (0x9000) Undefined=0230 @ 2376,"EXIF DateTimeOriginal": (0x9003) ASCII=2015:01:13 04:27:23 @ 4856,"EXIF DateTimeDigitized": (0x9004) ASCII=2015:01:13 04:27:23 @ 4876,"EXIF ComponentsConfiguration": (0x9101) Undefined=YCbCr @ 2412,"EXIF CompressedBitsPerPixel": (0x9102) Ratio=1 @ 4896,"EXIF BrightnessValue": (0x9203) Ratio=6917/1280 @ 4904,"EXIF ExposureBiasValue": (0x9204) Ratio=0 @ 4912,"EXIF MaxApertureValue": (0x9205) Ratio=159/32 @ 4920,"EXIF MeteringMode": (0x9207) Short=Pattern @ 2472,"EXIF LightSource": (0x9208) Short=Unknown @ 2484,"EXIF Flash": (0x9209) Short=Flash did not fire, auto mode @ 2496,"EXIF FocalLength": (0x920A) Ratio=50 @ 4928,"EXIF MakerNote": (0x927C) Undefined=[83, 79, 78, 89, 32, 68, 83, 67, 32, 0, 0, 0, 94, 0, 3, 16, 4, 0, 16, 0, ... ] @ 4936,"EXIF UserComment": (0x9286) Undefined=[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] @ 42052,"EXIF SubSecTimeOriginal": (0x9291) ASCII=00 @ 2544,"EXIF SubSecTimeDigitized": (0x9292) ASCII=00 @ 2556,"EXIF FlashPixVersion": (0xA000) Undefined=0100 @ 2568,"EXIF ColorSpace": (0xA001) Short=sRGB @ 2580,"EXIF ExifImageWidth": (0xA002) Long=6000 @ 2592,"EXIF ExifImageLength": (0xA003) Long=3376 @ 2604,"Interoperability InteroperabilityVersion": (0x0002) Undefined=[48, 49, 48, 48] @ 42126,"EXIF InteroperabilityOffset": (0xA005) Long=42116 @ 2616,"EXIF FileSource": (0xA300) Undefined=Digital Camera @ 2628,"EXIF SceneType": (0xA301) Undefined=Directly Photographed @ 2640,"EXIF CustomRendered": (0xA401) Short=Normal @ 2652,"EXIF ExposureMode": (0xA402) Short=Auto Exposure @ 2664,"EXIF WhiteBalance": (0xA403) Short=Auto @ 2676,"EXIF DigitalZoomRatio": (0xA404) Ratio=1 @ 42136,"EXIF FocalLengthIn35mmFilm": (0xA405) Short=75 @ 2700,"EXIF SceneCaptureType": (0xA406) Short=Standard @ 2712,"EXIF Contrast": (0xA408) Short=Normal @ 2724,"EXIF Saturation": (0xA409) Short=Normal @ 2736,"EXIF Sharpness": (0xA40A) Short=Normal @ 2748,"EXIF Padding": (0xEA1C) Undefined=[] @ 2780,"EXIF OffsetSchema": (0xEA1D) Signed Long=4124 @ 2772
}

其中不同的key对应不同的信息，旋转信息在trags[‘Image Orientation’]中，打印出来是Rotated 180，说明旋转了180度，这样只需要在最后显示图片时预先调整一下就ok
另外在旋转90度时会出现两种 Rotated 90 CW 和 Rotated 90 CCW，第一种是顺时针旋转，第二种时逆时针旋转，Rotated 90 CCW 即为 270度。

PIL函数实现

如果使用PIL.Image类型的图像，我们可以用_getexif()函数实现，

def apply_exif_orientation(image):try:exif = image._getexif()except AttributeError:exif = Noneif exif is None:return imageexif = {PIL.ExifTags.TAGS[k]: v for k, v in exif.items() if k in PIL.ExifTags.TAGS}orientation = exif.get('Orientation', None)if orientation == 1:# do nothingreturn imageelif orientation == 2:# left-to-right mirrorreturn PIL.ImageOps.mirror(image)elif orientation == 3:# rotate 180return image.transpose(PIL.Image.ROTATE_180)elif orientation == 4:# top-to-bottom mirrorreturn PIL.ImageOps.flip(image)elif orientation == 5:# top-to-left mirrorreturn PIL.ImageOps.mirror(image.transpose(PIL.Image.ROTATE_270))elif orientation == 6:# rotate 270return image.transpose(PIL.Image.ROTATE_270elif orientation == 7:# top-to-right mirrorreturn PIL.ImageOps.mirror(image.transpose(PIL.Image.ROTATE_90))elif orientation == 8:# rotate 90return image.transpose(PIL.Image.ROTATE_90)    else:return image

image 是PIL.Image类型的

本人小白，如果有错误之处，还望不吝指正。