def thumbnail(input_filepath, uri):
thumbnails = []
for size_tuple in constants.THUMBNAIL_SIZE_TUPLE_TO_SIZE_CODE:
size_code = constants.THUMBNAIL_SIZE_TUPLE_TO_SIZE_CODE[size_tuple]
filename, fpath = utils.thumbnail(input_filepath, uri, size_tuple)
touch_thumbnail(uri, filename, size_code)
thumbnails.append((filename, fpath))
return thumbnails
def parse_image(image):
if image:
tmp = image.split(b'\r\n\r\n', 1)
if len(tmp) == 2:
src_image = tmp[1].rstrip(b'\r\n')
if len(src_image) > 0:
thb_image = thumbnail(src_image)
return src_image, thb_image, tmp[0].decode('utf-8')
return None, None, None
def thumbnail(self):
return thumbnail(self.image, self.cropping)
def dehydrate_item_thumb(self, bundle):
default_image = bundle.obj.item.get_default_image()
if not default_image is None:
return thumbnail(default_image, '80x80', crop='center').url
def thumbnail(self):
return thumbnail(self.image, self.cropping)
def parseInlineQuery(bot, update):
q = update.inline_query.query
# actual inline query results to present to the user
results = []
if q.lower() == 'gen':
# if it's simply 'gen', we fill our results with a generated SIGARETTO
restext = gen.generate()
results.append(
telegram.InlineQueryResultArticle(
type='article',
id=uuid.uuid4(),
thumb_url=utils.thumbnail(),
thumb_width=AVATAR_SIZE,
thumb_height=AVATAR_SIZE,
title='SIGARETTO #GENERATED',
description=restext[:200],
input_message_content=telegram.InputTextMessageContent(
message_text=restext, parse_mode=None)))
else:
# we have to search
# search results:
res = []
# try to detect if user asked for a SIGA id or a regex search (starting with "-r ")
asked_siga = parseSigaNumber(q)
if asked_siga:
# yes, pick it
res = [getS(sl, asked_siga)]
elif q.startswith('-r '):
# no, but a regex search is invoked
q = q[3:]
res = regexSearch(q, sl)
else:
# neither special case is required, normal search
res = normalSearch(q, sl)
# search completed, we now have all matching results in res, which may or may not be empty
if not res:
# empty, send bogus SIGA
restext = random.choice(notfound.notfound)
if "%s" in restext:
restext = restext % q
results.append(
telegram.InlineQueryResultArticle(
type='article',
id=uuid.uuid4(),
thumb_url=utils.thumbnail(),
thumb_width=AVATAR_SIZE,
thumb_height=AVATAR_SIZE,
title='SIGARETTO #NOT_FOUND',
description=restext[:200],
input_message_content=telegram.InputTextMessageContent(
message_text=restext, parse_mode=None)))
else:
# non-empty, build list of actual results
for i in res:
restext = i['text']
sid = i['id']
authorid = i['authorid']
# if sid in img_cache:
# results.append(telegram.InlineQueryResultPhoto(
# type='photo',
# id=sid,
# photo_url=img_url(sid),
# thumb_url=utils.thumbnail(authorid),
# title='SIGARETTO #%d' % sid,
# description=restext[:200],
# caption=restext[:200],
# photo_file_id=img_cache[sid],
# ))
# elif sid in audio_cache:
# results.append(telegram.InlineQueryResultAudio(
# type='audio',
# id=sid,
# audio_url=audio_url(sid),
# title='SIGARETTO #%d' % sid,
# caption=restext[:200]
# # to be completed with other parameters
# ))
fulltext = restext
if sid in videos:
fulltext = restext + "\n\n" + videos[sid]
results.append(
telegram.InlineQueryResultArticle(
type='article',
id=sid,
thumb_url=utils.thumbnail(authorid),
thumb_width=AVATAR_SIZE,
thumb_height=AVATAR_SIZE,
title='SIGARETTO #%d' % sid,
description=restext[:200],
input_message_content=telegram.InputTextMessageContent(
message_text=fulltext, parse_mode=None)))
# all cases examined, we now have a results array and can answer the query
bot.answerInlineQuery(update.inline_query.id, results, cache_time=0)
logger.info(update)
def dehydrate_image(self, bundle):
return thumbnail(bundle.obj.image, '400x400', crop='center').url
def dehydrate_thumb(self, bundle):
return thumbnail(bundle.obj.image, '220x220', crop='center').url
def dehydrate_default_image(self, bundle):
default_image = bundle.obj.get_default_image()
if default_image is None:
default_image = 'http://vk.com/images/question_a.gif'
return thumbnail(default_image, '150x150', crop='center').url
asc_idx = cls_arr[:, 2].argsort()
# verify ascending
if len(cls_arr[asc_idx][:, 2]) > 5:
assert cls_arr[asc_idx][:, 2][0] < cls_arr[asc_idx][:, 2][5]
sort_num = 0
for img_path in cls_arr[asc_idx][:, 0]:
sort_num += 1
shutil.copy2(
img_path,
os.path.join(
cls_dir, "{}_{}".format(sort_num,
img_path.split('/')[-1])))
if __name__ == "__main__":
parser = argparse.ArgumentParser(description='Clustering deep feature')
parser.add_argument('--feature_path', required=True)
parser.add_argument('--clustering_cnt', required=True)
parser.add_argument('--target_dir', required=True)
args = parser.parse_args()
C = Cluster(args.feature_path, args.clustering_cnt, args.target_dir)
C.load_feature()
C.train()
C.centroid_distance()
C.generate_target()
thumbnail(args.target_dir)
def get_avatar_thumb(self, size='40x40'):
return thumbnail(self.get_avatar(), size, crop='center')