Directly create datetime object from tag.value, instead of ASCII export and datetime import.

Readme.md

@@ -11,7 +11,6 @@ It then creates a `UserComment` Exif tag with the actual measured radiation at t
 ## Dependencies
 Right now it depends on the following non-core Python 3 libraries:
 
-  * [piexif](https://pypi.org/project/pyexif/): Python module for working with EXIF image data.
   * [py3exiv2](https://pypi.org/project/py3exiv2/) A Python 3 binding to the library exiv2.
   * [boost.python3](http://www.boost.org/libs/python/doc/index.html) Welcome to Boost.Python, a C++ library which enables seamless interoperability between C++ and the Python programming language.
   * [exiv2](http://www.exiv2.org/) Exiv2 is a Cross-platform C++ library and a command line utility to manage image metadata.

exif_rad.py

@@ -41,7 +41,8 @@ for photo in args.photos:
     metadata = pyexiv2.ImageMetadata(photo)
     metadata.read()
     tag = metadata['Exif.Photo.DateTimeOriginal']
-    picrawtime = tag.raw_value
+    # tag.value creates datetime object in pictime
+    pictime = tag.value
     # Get image file name out of path
     photo_basename = os.path.basename(photo)
     
@@ -50,12 +51,11 @@ for photo in args.photos:
         csvreader = csv.reader(filter(lambda row: row[0] != '#', f), 
                                delimiter=',', skipinitialspace=True)
 
-        picisotime = datetime.strptime(picrawtime, "%Y:%m:%d %H:%M:%S")
         print('Processing file:', photo_basename, end='\r')
         for _, csvrawtime, csvrawcpm, _ in csvreader:
-            csvisotime = datetime.fromisoformat(csvrawtime)
+            csvtime = datetime.fromisoformat(csvrawtime)
             # Process image if its timestamp is found in CSV log
-            if csvisotime == picisotime:
+            if csvtime == pictime:
                 rad = round(float(csvrawcpm) * args.sifactor, 2)
 
                 # convert str to exif compatible string
@@ -70,9 +70,9 @@ for photo in args.photos:
                 outfile = os.path.join(args.outdir, photo_basename)
                 # write target file
                 # print output
-                print('{:<30} {:<20} {:<22}'.format(photo_basename, str(picisotime), new_comment))
+                print('{:<30} {:<20} {:<22}'.format(photo_basename, str(pictime), new_comment))
                 break
         else:
-            print('{:<30} {:<20} {:<22}'.format(photo_basename, str(picisotime), 'NOT FOUND!'))
+            print('{:<30} {:<20} {:<22}'.format(photo_basename, str(pictime), 'NOT FOUND!'))
     # close CSV file
     f.close()