前言
出去旅游，用iphone拍了非常多的照片，心想这些照片都有位置信息和拍摄时间信息，那能不能用python制作一个程序，输入所有照片，然后读取这些信息，最后输出一个xml路径文件，打开在googleEarth看。虽然最近逐步奉行“不讨论意义主义”，但我觉得此举的意义，首先是折腾python的乐趣，其次对于超长途旅行路线，能够结合更为宏观的视角来回顾本次旅行，譬如我发现原来我拍摄的地方，是甘肃和新疆的接壤，原来重庆在兰州的正下方偏东，原来我这次横跨了三个阶梯等等，能够带来许多乐趣。
序
csdn是程序员为主的博客平台，所以本文也会聚焦于这个程序，这个程序的功能在前言中已经有所概述，并且功能将会更丰富。定位是google Earth的小插件吧。能够输入照片，输出googleEarth使用的xml路径文件。
设计蓝图
主程序代码
主流程
参考文献：
How to extract GPS coordinates from Images in Python
How to extract GPS location from HEIC files?
一、获取单个HEIC文件的位置信息：
1.pillow库读取HEIC文件
2.获得照片拍摄的坐标，格式是Degrees, minutes, and seconds (DMS)
e.g.
(11.0, 53.0, 7.42199999)
3.将(DMS)格式坐标转化为 Decimal degrees (DD)格式。
e.g.
(43.46715666666389, 11.885394999997223)
4.坐标纠偏
5.难点：如何获得HEIC文件的拍摄时间？
根据如下这篇文章《python exif不能找到heic的“date taken”也就是拍摄时间，但是在windows资源管理器下却是可见的》
Python EXIF can’t find HEIC file date taken, but it’s visible in other tools
采用了如下方法：
import exifread
with open(filename, 'rb') as image:
exif = exifread.process_file(image)
但是报错，报错如下，并找到了解决方案也如下
exifread.process_file() throws “KeyError: ‘hdlr’” and “NoParser: hdlr Output is truncated.” for a HEIC image even though exifread can deal with HEIC
解决方案如原文：
This is just to share what I found on the net to fix this. Check HEIC processing error: hdlr on Apple Silicon #4.
Thus, you should downgrade to a version below 3.0.0:
也就是要将exifread降级到3以下，3以下最新的就是pip install exifread==2.3.2
然后不再报错文章来源：https://www.toymoban.com/news/detail-832866.html
最终程序:文章来源地址https://www.toymoban.com/news/detail-832866.html
import simplekml
import exifread
import os
from PIL import Image
from pillow_heif import register_heif_opener
register_heif_opener()
list2 = [('1', 51.500152, -0.126236), ('2', 1.500152, -50.126236)]
img_path = r'F:\trippicProject\pic\IMG_4563.HEIC'
HEICpath = r'F:\trippicProject\pic'
# 该函数用于将pillow获取的gps tag(DMS格式)转化为Decimal degrees (DD)(x,y)的格式
# you will get the coordinates in Degrees, minutes, and seconds (DMS). We will soon convert this format to Decimal degrees (DD) format.
def decimal_coords(coords, ref):
decimal_degrees = float(coords[0]) + float(coords[1]) / 60 + float(coords[2]) / 3600
if ref == 'S' or ref == 'W':
decimal_degrees = -decimal_degrees
return decimal_degrees
def get_heicGeoCoords(heicPath):
image = Image.open(heicPath)
image.verify()
exif = image.getexif().get_ifd(0x8825)
geo_tagging_info = {}
if not exif:
raise ValueError("No EXIF metadata found")
else:
gps_keys = ['GPSVersionID', 'GPSLatitudeRef', 'GPSLatitude', 'GPSLongitudeRef', 'GPSLongitude',
'GPSAltitudeRef', 'GPSAltitude', 'GPSTimeStamp', 'GPSSatellites', 'GPSStatus', 'GPSMeasureMode',
'GPSDOP', 'GPSSpeedRef', 'GPSSpeed', 'GPSTrackRef', 'GPSTrack', 'GPSImgDirectionRef',
'GPSImgDirection', 'GPSMapDatum', 'GPSDestLatitudeRef', 'GPSDestLatitude', 'GPSDestLongitudeRef',
'GPSDestLongitude', 'GPSDestBearingRef', 'GPSDestBearing', 'GPSDestDistanceRef', 'GPSDestDistance',
'GPSProcessingMethod', 'GPSAreaInformation', 'GPSDateStamp', 'GPSDifferential']
for k, v in exif.items():
try:
geo_tagging_info[gps_keys[k]] = v
except IndexError:
pass
coords = (decimal_coords(geo_tagging_info['GPSLatitude'], geo_tagging_info['GPSLatitudeRef']), decimal_coords(geo_tagging_info['GPSLongitude'], geo_tagging_info['GPSLongitudeRef']))
return coords
def get_heicTime(heicPath):
pic_data = exifread.process_file(open(heicPath, 'rb'))
time = pic_data['Image DateTime']
time_stamp = str(time)[2:4] + str(time)[5:7] + str(time)[8:10] + str(time)[11:13] + str(time)[14:16] + str(time)[17:19]
return time_stamp
if __name__ == '__main__':
imgs = os.listdir(r'F:\trippicProject\pic')
dateDatas = []
date2Details = {}
for imgName in imgs:
if imgName[-4:] == 'HEIC':
try:
img_path = HEICpath + '\\' + imgName
thisTime = get_heicTime(img_path)
thisCoords = get_heicGeoCoords(img_path)
dateDatas.append(int(thisTime))
date2Details[thisTime] = [thisCoords, imgName]
print("Done=>"+imgName)
except ValueError:
print("No EXIF metadata found=>"+imgName)
dateDatas.sort()
kml = simplekml.Kml()
lin = kml.newlinestring(name="trip")
lin.extrude = 1
lin.altitudemode = simplekml.AltitudeMode.clamptoground
lin.style.linestyle.width = 5
lin.style.linestyle.color = simplekml.Color.blue
for date in dateDatas:
coords = date2Details[str(date)][0]
pnt = kml.newpoint(description='test', coords=[(coords[1], coords[0])])
description = '<![CDATA[<img style="max-width:500px;" src="file:///F:/trippicProject/jpg/' + date2Details[str(date)][1][:-5] +'.jpg">]]>'
pnt.description = description
lin.coords.addcoordinates([(coords[1], coords[0])])
kml.save("test.kml")
到了这里，关于Python 获取 IOS/Iphone/Ipad等设备拍摄的HEIC图片的拍摄地址/坐标/位置以及python的googleEarth的xml文件绘制初步的文章就介绍完了。如果您还想了解更多内容，请在右上角搜索TOY模板网以前的文章或继续浏览下面的相关文章，希望大家以后多多支持TOY模板网！
