Ajout du script pour lire directement les exif
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153
exv.py
Executable file
153
exv.py
Executable file
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#!/usr/bin/env python3
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from subprocess import Popen, PIPE
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from datetime import datetime
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import json
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from os.path import isfile
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def extractor(input_files, start, end):
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if not isinstance(input_files, type(list())):
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raise ValueError("Input files must be a list.")
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exif_dict_list = []
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usefull_exif = [
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"Image.Model",
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"Photo.LensModel",
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"Photo.FocalLength",
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"Photo.ApertureValue",
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"Photo.ExposureTime",
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"Photo.ISOSpeedRatings",
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"Photo.PixelXDimension",
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"Photo.PixelYDimension",
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"Image.ImageWidth",
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"Image.ImageLength",
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"Photo.DateTimeOriginal"
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]
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for input_file in input_files:
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exif_dict = {}
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if not isfile(input_file):
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raise ValueError("{} doesn't exist here.".format(input_file))
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exif_dict.update({'file': input_file})
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for extracted in usefull_exif:
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cmd = ["exiv2", "-g", extracted, "-Pt", input_file]
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with Popen(cmd, stdout=PIPE) as extracted_data:
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extracted_data = extracted_data.stdout.read().decode()
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if extracted_data:
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extracted_data = extracted_data.splitlines()[0]
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exif_dict.update({extracted.split(".")[1]: extracted_data})
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else:
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exif_dict.update({extracted.split(".")[1]: None})
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if exif_dict['FocalLength']:
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exif_dict['FocalLength'] = float(
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exif_dict['FocalLength'].replace(" mm", ""))
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if exif_dict['ApertureValue']:
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exif_dict['ApertureValue'] = float(
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exif_dict['ApertureValue'].replace("F", ""))
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if exif_dict['PixelXDimension'] and exif_dict['PixelYDimension']:
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exif_dict['PixelXDimension'] = int(exif_dict['PixelXDimension'])
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exif_dict['PixelYDimension'] = int(exif_dict['PixelYDimension'])
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pixels = exif_dict['PixelXDimension'] * \
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exif_dict['PixelYDimension']
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elif exif_dict['ImageLength'] and exif_dict['ImageWidth']:
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exif_dict['PixelXDimension'] = int(exif_dict['ImageLength'])
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exif_dict['PixelYDimension'] = int(exif_dict['ImageWidth'])
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pixels = exif_dict['PixelXDimension'] * \
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exif_dict['PixelYDimension']
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else:
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pixels = None
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if exif_dict['DateTimeOriginal']:
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exif_dict['DateTimeOriginal'] = datetime.strptime(
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exif_dict['DateTimeOriginal'], "%Y:%m:%d %H:%M:%S")
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if exif_dict['ExposureTime']:
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try:
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exif_dict['ExposureTime'] = float(
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exif_dict['ExposureTime'].split(" ")[0])
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except ValueError:
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exposure = exif_dict['ExposureTime'].split(" ")[0]
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exif_dict['ExposureTime'] = float(
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1/(float(exposure.split("/")[1])))
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if pixels:
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exif_dict.update({'Dimension': round((pixels/10**6), 1)})
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else:
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exif_dict.update({'Dimension': None})
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exif_dict_list.append(exif_dict)
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cameras, lenses, focals, apertures, exposures = {}, {}, {}, {}, {}
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isos, dimensions, cameras_lenses, dates = {}, {}, {}, {}
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cameras_list, lenses_list, focals_list, apertures_list, exposures_list = [], [], [], [], []
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isos_list, dimensions_list, cameras_lenses_list, dates_list = [], [], [], []
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for data in exif_dict_list:
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if start <= data['DateTimeOriginal'] <= end:
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cameras_list.append(data['Model'])
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lenses_list.append(data['LensModel'])
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focals_list.append(data['FocalLength'])
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apertures_list.append(data['ApertureValue'])
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exposures_list.append(data['ExposureTime'])
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isos_list.append(data['ISOSpeedRatings'])
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dimensions_list.append(data['Dimension'])
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if data['LensModel']:
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cameras_lenses_list.append(
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"{} + {}".format(data['Model'], data['LensModel']))
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dates_list.append(data['DateTimeOriginal'].strftime("%Y%m%d"))
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for camera in list(set(cameras_list)):
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if camera:
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cameras.update({camera: cameras_list.count(camera)})
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for lens in list(set(lenses_list)):
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if lens:
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lenses.update({lens: lenses_list.count(lens)})
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for camera_lens in list(set(cameras_lenses_list)):
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if camera_lens:
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cameras_lenses.update(
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{camera_lens: cameras_lenses_list.count(camera_lens)})
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for focal in list(set(focals_list)):
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if focal:
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focals.update({focal: focals_list.count(focal)})
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for aperture in list(set(apertures_list)):
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if aperture:
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apertures.update({aperture: apertures_list.count(aperture)})
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for exposure in list(set(exposures_list)):
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if exposure:
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exposures.update(
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{float(exposure*1000): exposures_list.count(exposure)})
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for iso in list(set(isos_list)):
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if iso:
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isos.update({iso: isos_list.count(iso)})
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for dimension in list(set(dimensions_list)):
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if dimension:
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dimensions.update({dimension: dimensions_list.count(dimension)})
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for date in list(set(dates_list)):
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if date:
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dates.update({date: dates_list.count(date)})
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return {
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"total": len(dimensions_list),
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"date": dates,
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"cameras": cameras,
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"lenses": lenses,
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"cameras+lenses": cameras_lenses,
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"focals": focals,
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"apertures": apertures,
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"shutter_speeds": exposures,
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"isos": isos,
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"dimensions": dimensions
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}
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if __name__ == '__main__':
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import argparse
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parser = argparse.ArgumentParser()
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parser.add_argument(
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"infile", help="input file (EXV, JPG, CR2, ...). Can be more than one.", nargs='+')
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parser.add_argument("-s", "--start-date", help="start date as YYYYMMDD. If omitted, begin of the collection.", const=None)
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parser.add_argument("-e", "--end-date", help="end date as YYYYMMDD. If omitted, today", const=None)
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args = parser.parse_args()
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if not args.start_date:
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args.start_date = "18250101" # Ok, that's the year of the 1st photography by Nicéphore Niépce. Shoul'd be enough for a start date.
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if not args.end_date:
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args.end_date = datetime.strftime(datetime.now(), "%Y%m%d")
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try:
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datetime.strptime(args.start_date, "%Y%m%d")
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datetime.strptime(args.end_date, "%Y%m%d")
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except ValueError:
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print("Date must be YYYYMMDD.")
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exit()
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print(json.dumps(extractor(args.infile, datetime.strptime(args.start_date, "%Y%m%d"), datetime.strptime(args.end_date, "%Y%m%d")), indent=4, sort_keys=True))
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