initial commit

update to annif mobile client

Author: buildvoc10

Annif-mobile/capture-presentation.svg

@@ -0,0 +1,98 @@
+#!/usr/bin/env python3
+
+import sys
+import cgi
+import json
+import requests
+import os.path
+import io
+import functools
+import configparser
+
+from PIL import Image
+
+config = configparser.ConfigParser()
+config.read('/etc/annif/ocr.ini')
+
+api_options = config['api']
+
+OCRAPIKEY = api_options['apikey']
+DEFAULT_LANGUAGE = api_options['default_language']
+
+MAXSIZE_BYTES = 1000000;
+MAXSIZE_PIXELS = (2600, 2600)
+
+# map ISO 639-1 language codes into the ISO 639-3 codes that ocr.space uses
+LANGMAP = {
+  'fi': 'fin',
+  'sv': 'swe',
+  'en': 'eng'
+}
+
+sys.stdout.buffer.write(b"Content-Type: text/plain; charset=utf-8\r\n")
+sys.stdout.buffer.write(b"\r\n")
+
+# Use EXIF information to flip and/or transpose the image as necessary
+def image_transpose_exif(im):
+    exif_orientation_tag = 0x0112 # contains an integer, 1 through 8
+    exif_transpose_sequences = [  # corresponding to the following
+        [],
+        [Image.FLIP_LEFT_RIGHT],
+        [Image.ROTATE_180],
+        [Image.FLIP_TOP_BOTTOM],
+        [Image.FLIP_LEFT_RIGHT, Image.ROTATE_90],
+        [Image.ROTATE_270],
+        [Image.FLIP_TOP_BOTTOM, Image.ROTATE_90],
+        [Image.ROTATE_90],
+    ]
+
+    try:
+        seq = exif_transpose_sequences[im._getexif()[exif_orientation_tag] - 1]
+    except Exception:
+        return im
+    else:
+        return functools.reduce(lambda im, op: im.transpose(op), seq, im)
+
+form = cgi.FieldStorage()
+if 'imagefile' in form:
+    fileitem = form['imagefile']
+    if fileitem.file:
+        f = fileitem.file
+        fn = fileitem.filename
+    lang = form.getfirst('language')
+    if lang is None:
+        lang = DEFAULT_LANGUAGE
+    if lang in LANGMAP:
+        # map to ISO 639-3 code
+        lang = LANGMAP[lang]
+else:
+    # take the language and filename as command line parameters - for testing
+    lang = sys.argv[1]
+    fn = sys.argv[2]
+    f = open(fn, 'rb')
+
+image = image_transpose_exif(Image.open(f))
+
+if image.size[0] > MAXSIZE_PIXELS[0] or image.size[1] > MAXSIZE_PIXELS[1]:
+    # need to scale it
+    image.thumbnail(MAXSIZE_PIXELS)
+    f = io.BytesIO()
+    image.save(f, 'JPEG')
+
+f.seek(0)
+
+payload = {
+    'isOverlayRequired': False,
+    'apikey': OCRAPIKEY,
+    'language': lang
+}
+
+r = requests.post('https://api.ocr.space/parse/image', files={fn: f}, data=payload)
+  
+results = r.json()
+
+try:
+    text = results['ParsedResults'][0]['ParsedText']
+    sys.stdout.buffer.write(text.encode('UTF-8') + b"\r\n")
+except:
+    sys.stdout.buffer.write(b"error\r\n")