[v2.0-alpha5] Re-formatting displaying date in TUI + re-formatting unit in tqdm (cv2 process) + TUI enhancement + correction in locales

locales/en_us.toml

@@ -12,6 +12,7 @@ This script is designed to create geotagged frames from video and GPX track."""
 end = "End of program, press Enter to quit."
 paths_title = "## Paths"
 parameters_title = "## Process parameters"
+tags_title = "## Additional tags"
 metadata = """{} ({} {}B)\n
 - Duration : {} s\n
 - Start time : {}.{}\n
@@ -21,7 +22,7 @@ metadata = """{} ({} {}B)\n
 cv2_tqdm = 'frame(s)'
 
 [ui.parameters]
-toml_setting²	 = "Setting with TOML file ({}/{}) ? "
+toml_setting = "Setting with TOML file ({}/{}) ? "
 
 timelapse = "Timelapse video ({}/{}) ? "
 timelapse_fps = "Timelapse framerate (frame/s) [{}-{}] : "
@@ -38,7 +39,7 @@ video_start_datetime_err = "Error... entered datetime is not valid."
 
 rec_timezone = "Enter time offset related to UTC (example for CEST : +02:00) : "
 
-time_offset = "Enter time offset between video and GPX in seconds [{}-{}] : "
+time_offset = "Enter time offset with GPS track in seconds [{}-{}] : "
 time_offset_err = "Error... please enter a decimal between {} and {}."
 
 [ui.paths]

locales/fr_fr.toml

@@ -11,6 +11,7 @@ intro = """Bienvenue dans le script video2geoframes.py !
 Ce script permet, à partir d'une vidéo et d'une trace GPS, de créer un ensemble de photos géotaguées."""
 end = "Fin du programme, appuyez sur Entrée pour fermer."
 paths_title = "## Chemins"
+tags_title = "## Tags additionnels"
 parameters_title = "## Paramètres du traitement"
 metadatas = """{} ({} {}B)
 - Durée : {} s
@@ -38,7 +39,7 @@ video_start_datetime_err = "Erreur... l'horodatage entré est invalide."
 
 rec_timezone = "Entrez le décalage horaire par rapport à UTC (exemple pour CEST : +02:00) : "
 
-time_offset = "Entrez le décalage temporel entre la vidéo et le GPX en secondes [{}-{}] : "
+time_offset = "Entrez le décalage temporel avec la trace GPS en secondes [{}-{}] : "
 time_offset_err = "Erreur... veuillez entrer un nombre décimal entre {} et {}."
 
 [ui.paths]

video2geoframes.py

@@ -8,7 +8,7 @@ Designed for contribution to street-level imagery projects like Mapillary or Pan
 
 __author__ = "Lucas MATHIEU (@campanu)"
 __license__ = "AGPL-3.0-or-later"
-__version__ = "2.0-alpha1"
+__version__ = "2.0-alpha5"
 __maintainer__ = "Lucas MATHIEU (@campanu)"
 __email__ = "campanu@luc-geo.fr"
 
@@ -18,6 +18,7 @@ import platform
 from datetime import datetime, timedelta
 
 import cv2
+import piexif
 from tomlkit import dumps, loads
 from tqdm import tqdm
 from exif import Image, GpsAltitudeRef
@@ -262,7 +263,7 @@ else:
     model = input(locale_toml['ui']['metadatas']['model'])
     author = input(locale_toml['ui']['metadatas']['author'])
 
-# Getting video metadatas
+# Video metadatas formatting
 print('\n{}'.format(locale_toml['processing']['reading_metadatas']))
 
 video = cv2.VideoCapture(video_path)
@@ -276,67 +277,99 @@ video_file_size = byte_multiple(os.stat(video_path).st_size)
 video_duration = video_total_frames / video_fps
 
 video_start_datetime_obj = video_start_datetime_obj + timedelta(seconds=time_offset)
-video_start_datetime = video_start_datetime_obj.strftime('%Y:%m:%d %H:%M:%S')
+video_start_datetime = video_start_datetime_obj.strftime('%Y-%m-%d %H:%M:%S')
 video_start_subsectime = video_start_datetime_obj.strftime('%f')
 
-# Displaying metadata
+# Metadata recap
 print('\n{}'.format(locale_toml['ui']['info']['metadatas'].format(video_file_name,
                                                                   round(video_file_size[0], 3), video_file_size[1],
                                                                   video_duration, video_start_datetime,
                                                                   int(int(video_start_subsectime) / 1000),
                                                                   video_rec_timezone)))
 
-# Creating output folder
+# Output folder creation
 output_folder = '{}/{}'.format(output_folder, video_file_name)
 existing_path(output_folder)
 
 # Processes
-## Frame sampling + tagging (OpenCV + exif)
+## Frame sampling + tagging (OpenCV + piexif)
+print('\n{}'.format(locale_toml['processing']['sampling']))
+
 i = 0
 
 if timelapse == user_agree:
-    frame_interval = (1000 * frame_sampling) / video_fps
+    frame_interval = frame_sampling / video_fps
 else:
-    frame_interval = 1000 * frame_sampling
+    frame_interval = frame_sampling
 
-cv2_tqdm_unit = " {}".format(locale_toml['ui']['units']['cv2_tqdm'])
+cv2_tqdm_unit = locale_toml['ui']['units']['cv2_tqdm']
+cv2_tqdm_range = int(video_duration / frame_interval)
 
-for i in tqdm(range(video_total_frames - 1), unit=cv2_tqdm_unit):
-    t = frame_interval * i
+for i in tqdm(range(cv2_tqdm_range), unit=cv2_tqdm_unit):
+    t = frame_interval * i * 1000
     video.set(cv2.CAP_PROP_POS_MSEC, t)
     ret, frame = video.read()
 
     frame_name = '{:05d}'.format(i)
     image_name = "{}_f{}.jpg".format(video_file_name.split('.')[0], frame_name)
+    image_path = "{}/{}".format(output_folder, image_name)
 
-    cv2.imwrite(image_name, frame, [cv2.IMWRITE_JPEG_QUALITY, 88, cv2.IMWRITE_JPEG_PROGRESSIVE, 1,
-                                    cv2.IMWRITE_JPEG_SAMPLING_FACTOR, 0x411111])
+    cv2.imwrite(image_path, frame, [cv2.IMWRITE_JPEG_QUALITY, 88, cv2.IMWRITE_JPEG_PROGRESSIVE, 1, cv2.IMWRITE_JPEG_SAMPLING_FACTOR, 0x411111])
 
-    ## Time tags preparation
+    ## Time tags formatting
     time_shift = i * frame_sampling
     current_datetime_obj = video_start_datetime_obj + timedelta(seconds=time_shift)
     current_datetime = current_datetime_obj.strftime('%Y:%m:%d %H:%M:%S')
     current_subsec_time = int(int(current_datetime_obj.strftime('%f')) / 1000)
 
-    with open(image_name, 'rb') as image_file:
-        image = Image(image_file)
-        image.make = make
-        image.model = model
-        image.author = author
-        image.copyright = "{}, {}".format(author, video_start_datetime_obj.strftime('%Y'))
-        image.datetime_original = current_datetime
-        image.subsec_time_original = current_subsec_time
-        image.offset_time_original = video_rec_timezone
+    # exif code
+    # with open(image_path, 'rb') as image_file:
+    #     image = Image(image_file)
+    #     image.make = make
+    #     image.model = model
+    #     image.author = author
+    #     image.copyright = "{}, {}".format(author, video_start_datetime_obj.strftime('%Y'))
+    #     image.datetime_original = current_datetime
+    #     #image.offset_time_original = video_rec_timezone
+    #
+    #     if current_subsec_time > 0 :
+    #         image.subsec_time_original = str(current_subsec_time)
+    #
+    # with open(image_path, 'wb') as tagged_image_file:
+    #     tagged_image_file.write(image.get_file())
 
-    with open('{}'.format(image_name), 'wb') as tagged_image_file:
-        tagged_image_file.write(image.get_file())
+    # piexif code
+    image_exif = piexif.load(image_path)
+
+    image_tags = {
+        piexif.ImageIFD.Make: make,
+        piexif.ImageIFD.Model: model,
+        piexif.ImageIFD.Artist: author,
+        piexif.ImageIFD.Copyright: "{}, {}".format(author, video_start_datetime_obj.strftime('%Y')),
+        piexif.ImageIFD.Software : 'video2geoframes.py (v{})'.format(__version__)
+    }
+
+    exif_tags = {
+        piexif.ExifIFD.DateTimeOriginal: current_datetime,
+        piexif.ExifIFD.OffsetTimeOriginal: video_rec_timezone
+    }
+
+    if current_subsec_time > 0:
+        exif_tags[piexif.ExifIFD.SubSecTime] = str(current_subsec_time)
+
+    image_exif['0th'] = image_tags
+    image_exif['Exif'] = exif_tags
+
+    image_exif_bytes = piexif.dump(image_exif)
+    piexif.insert(image_exif_bytes, image_path)
 
     i += 1
 
 # Geo-tagging (ExifTool)
 print('\n{}'.format(locale_toml['processing']['geotagging']))
+
 geotagging_cmd = '{} -P -geotag "{}" "-geotime<SubSecDateTimeOriginal" -overwrite_original "{}/{}_f*.jpg"'\
-    .format(exiftool_path, gps_track_path, output_folder, video_file_name)
+    .format(exiftool_path, gps_track_path, output_folder, video_file_name.split('.')[0])
 geotagging = os.system(geotagging_cmd)
 
 # End