使用 python 对 jpeg 图像进行地理标记的最佳方法是什么?

发布于 2024-07-11 07:11:51 字数 1542 浏览 6 评论 0原文

如果你对这篇内容有疑问,欢迎到本站社区发帖提问 参与讨论,获取更多帮助,或者扫码二维码加入 Web 技术交流群。

扫码二维码加入Web技术交流群

发布评论

需要 登录 才能够评论, 你可以免费 注册 一个本站的账号。

评论(5

双手揣兜 2024-07-18 07:11:51

以下是如何使用 pyexiv2 库设置 GPS 位置的示例。 我通过将地理标记图像上传到 Panoramio 测试了此脚本

#!/usr/bin/env python

import pyexiv2
import fractions
from PIL import Image
from PIL.ExifTags import TAGS
import sys

def to_deg(value, loc):
        if value < 0:
            loc_value = loc[0]
        elif value > 0:
            loc_value = loc[1]
        else:
            loc_value = ""
        abs_value = abs(value)
        deg =  int(abs_value)
        t1 = (abs_value-deg)*60
        min = int(t1)
        sec = round((t1 - min)* 60, 5)
        return (deg, min, sec, loc_value)    

def set_gps_location(file_name, lat, lng):
    """Adds GPS position as EXIF metadata

    Keyword arguments:
    file_name -- image file 
    lat -- latitude (as float)
    lng -- longitude (as float)

    """
    lat_deg = to_deg(lat, ["S", "N"])
    lng_deg = to_deg(lng, ["W", "E"])

    print lat_deg
    print lng_deg

    # convert decimal coordinates into degrees, munutes and seconds
    exiv_lat = (pyexiv2.Rational(lat_deg[0]*60+lat_deg[1],60),pyexiv2.Rational(lat_deg[2]*100,6000), pyexiv2.Rational(0, 1))
    exiv_lng = (pyexiv2.Rational(lng_deg[0]*60+lng_deg[1],60),pyexiv2.Rational(lng_deg[2]*100,6000), pyexiv2.Rational(0, 1))

    exiv_image = pyexiv2.Image(file_name)
    exiv_image.readMetadata()
    exif_keys = exiv_image.exifKeys() 

    exiv_image["Exif.GPSInfo.GPSLatitude"] = exiv_lat
    exiv_image["Exif.GPSInfo.GPSLatitudeRef"] = lat_deg[3]
    exiv_image["Exif.GPSInfo.GPSLongitude"] = exiv_lng
    exiv_image["Exif.GPSInfo.GPSLongitudeRef"] = lng_deg[3]
    exiv_image["Exif.Image.GPSTag"] = 654
    exiv_image["Exif.GPSInfo.GPSMapDatum"] = "WGS-84"
    exiv_image["Exif.GPSInfo.GPSVersionID"] = '2 0 0 0'

    exiv_image.writeMetadata()

set_gps_location(sys.argv[1], float(sys.argv[2]), float(sys.argv[3]))

Here is an example how to set GPS position using pyexiv2 library. I've tested this script by uploading geotagged image to Panoramio

#!/usr/bin/env python

import pyexiv2
import fractions
from PIL import Image
from PIL.ExifTags import TAGS
import sys

def to_deg(value, loc):
        if value < 0:
            loc_value = loc[0]
        elif value > 0:
            loc_value = loc[1]
        else:
            loc_value = ""
        abs_value = abs(value)
        deg =  int(abs_value)
        t1 = (abs_value-deg)*60
        min = int(t1)
        sec = round((t1 - min)* 60, 5)
        return (deg, min, sec, loc_value)    

def set_gps_location(file_name, lat, lng):
    """Adds GPS position as EXIF metadata

    Keyword arguments:
    file_name -- image file 
    lat -- latitude (as float)
    lng -- longitude (as float)

    """
    lat_deg = to_deg(lat, ["S", "N"])
    lng_deg = to_deg(lng, ["W", "E"])

    print lat_deg
    print lng_deg

    # convert decimal coordinates into degrees, munutes and seconds
    exiv_lat = (pyexiv2.Rational(lat_deg[0]*60+lat_deg[1],60),pyexiv2.Rational(lat_deg[2]*100,6000), pyexiv2.Rational(0, 1))
    exiv_lng = (pyexiv2.Rational(lng_deg[0]*60+lng_deg[1],60),pyexiv2.Rational(lng_deg[2]*100,6000), pyexiv2.Rational(0, 1))

    exiv_image = pyexiv2.Image(file_name)
    exiv_image.readMetadata()
    exif_keys = exiv_image.exifKeys() 

    exiv_image["Exif.GPSInfo.GPSLatitude"] = exiv_lat
    exiv_image["Exif.GPSInfo.GPSLatitudeRef"] = lat_deg[3]
    exiv_image["Exif.GPSInfo.GPSLongitude"] = exiv_lng
    exiv_image["Exif.GPSInfo.GPSLongitudeRef"] = lng_deg[3]
    exiv_image["Exif.Image.GPSTag"] = 654
    exiv_image["Exif.GPSInfo.GPSMapDatum"] = "WGS-84"
    exiv_image["Exif.GPSInfo.GPSVersionID"] = '2 0 0 0'

    exiv_image.writeMetadata()

set_gps_location(sys.argv[1], float(sys.argv[2]), float(sys.argv[3]))
时光与爱终年不遇 2024-07-18 07:11:51

pexif 是以地理标签为目标编写的(我的重点):

pexif 是一个 Python 库,用于解析和更重要的是编辑 JPEG 文件中的 EXIF 数据。

这源于需要将 GPS 标记数据添加到我的图像,不幸的是,其他库无法进行更新,并且似乎不容易构建能够添加这样的事物。 可重用软件可不是什么伟大的事情!

我写这篇文章的主要原因是提供一种简单的方法来对我的照片进行地理标记,而该库现在似乎已经足够成熟,可以做到这一点。

pexif was written with geotags as a goal (my emphasis):

pexif is a Python library for parsing and more importantly editing EXIF data in JPEG files.

This grew out of a need to add GPS tagged data to my images, Unfortunately the other libraries out there couldn't do updates and didn't seem easily architectured to be able to add such a thing. Ain't reusable software grand!

My main reason for writing this was to provide an easy way for geo-tagging my photos, and the library now seems mature enough to do that.

城歌 2024-07-18 07:11:51

我自己还没有尝试过,但从文档 [pyexiv2][1] 看来它应该可以完成这项工作。

[1]: http://tilloy.net/dev/pyexiv2/tutorial.html #link 缺少最后一个字符

I haven't tried it myself, but from the documentation [pyexiv2][1] looks like it should do the job.

[1]: http://tilloy.net/dev/pyexiv2/tutorial.html #link was missing last character

葬花如无物 2024-07-18 07:11:51

上面的代码可以工作,但我必须修改 set_gps_location 函数才能使用当前版本的 pyexiv2...也许 Maksym 使用的是旧版本:

def set_gps_location(file_name, lat, lng):
    """Adds GPS position as EXIF metadata

    Keyword arguments:
    file_name -- image file
    lat -- latitude (as float)
    lng -- longitude (as float)

    """
    lat_deg = to_deg(lat, ["S", "N"])
    lng_deg = to_deg(lng, ["W", "E"])

    print lat_deg
    print lng_deg

    # convert decimal coordinates into degrees, munutes and seconds
    exiv_lat = (pyexiv2.Rational(lat_deg[0]*60+lat_deg[1],60),pyexiv2.Rational(lat_deg[2]*100,6000), pyexiv2.Rational(0, 1))
    exiv_lng = (pyexiv2.Rational(lng_deg[0]*60+lng_deg[1],60),pyexiv2.Rational(lng_deg[2]*100,6000), pyexiv2.Rational(0, 1))
    metadata = pyexiv2.ImageMetadata(file_name)
    metadata.read()

##    exif_keys = metadata.exif_keys

    metadata["Exif.GPSInfo.GPSLatitude"] = exiv_lat
    metadata["Exif.GPSInfo.GPSLatitudeRef"] = lat_deg[3]
    metadata["Exif.GPSInfo.GPSLongitude"] = exiv_lng
    metadata["Exif.GPSInfo.GPSLongitudeRef"] = lng_deg[3]
    metadata["Exif.Image.GPSTag"] = 654
    metadata["Exif.GPSInfo.GPSMapDatum"] = "WGS-84"
    metadata["Exif.GPSInfo.GPSVersionID"] = '2 0 0 0'

    metadata.write()

the above code works, but I had to modify the set_gps_location function to work with the current version of pyexiv2...perhaps Maksym was using an older version:

def set_gps_location(file_name, lat, lng):
    """Adds GPS position as EXIF metadata

    Keyword arguments:
    file_name -- image file
    lat -- latitude (as float)
    lng -- longitude (as float)

    """
    lat_deg = to_deg(lat, ["S", "N"])
    lng_deg = to_deg(lng, ["W", "E"])

    print lat_deg
    print lng_deg

    # convert decimal coordinates into degrees, munutes and seconds
    exiv_lat = (pyexiv2.Rational(lat_deg[0]*60+lat_deg[1],60),pyexiv2.Rational(lat_deg[2]*100,6000), pyexiv2.Rational(0, 1))
    exiv_lng = (pyexiv2.Rational(lng_deg[0]*60+lng_deg[1],60),pyexiv2.Rational(lng_deg[2]*100,6000), pyexiv2.Rational(0, 1))
    metadata = pyexiv2.ImageMetadata(file_name)
    metadata.read()

##    exif_keys = metadata.exif_keys

    metadata["Exif.GPSInfo.GPSLatitude"] = exiv_lat
    metadata["Exif.GPSInfo.GPSLatitudeRef"] = lat_deg[3]
    metadata["Exif.GPSInfo.GPSLongitude"] = exiv_lng
    metadata["Exif.GPSInfo.GPSLongitudeRef"] = lng_deg[3]
    metadata["Exif.Image.GPSTag"] = 654
    metadata["Exif.GPSInfo.GPSMapDatum"] = "WGS-84"
    metadata["Exif.GPSInfo.GPSVersionID"] = '2 0 0 0'

    metadata.write()
洒一地阳光 2024-07-18 07:11:51

pyexiv2 现已弃用,取而代之的是基于 GObject 的 GExiv2
libexiv2 的包装。

pyexiv2 is now deprecated in favour of GExiv2, a GObject-based
wrapper around libexiv2.

~没有更多了~
我们使用 Cookies 和其他技术来定制您的体验包括您的登录状态等。通过阅读我们的 隐私政策 了解更多相关信息。 单击 接受 或继续使用网站,即表示您同意使用 Cookies 和您的相关数据。
原文