def home():
if request.method == 'POST':
# check if the post request has the file part
if 'file' not in request.files:
flash('No file part')
return redirect(request.url)
file = request.files['file']
# if user does not select file, browser also
# submit an empty part without filename
if file.filename == '':
flash('No selected file')
return redirect(request.url)
if file:
filename = secure_filename(file.filename)
file.save(os.path.join(app.config['UPLOAD_FOLDER2'], filename))
shutil.copy(os.path.join(app.config['UPLOAD_FOLDER2'],filename), os.path.join(app.config['UPLOAD_FOLDER'],filename))
#file.save(os.path.join(app.config['UPLOAD_FOLDER'], filename))
"""
file_name=os.path.join(os.path.dirname(__file__),filename)
(file_name)
with io.open(file_name,'rb') as image_file:
content=image_file.read()
"""
name,probability_name= main(filename)
age_range,probability_age = age(filename)
gender_range,probability_gender = gender(filename)
text = name + ", " + str(probability_name)
age_text = age_range + ", " + str(probability_age)
gender_text = gender_range + ", " + str(probability_gender)
return render_template('index.html',imgURL=filename, text = text, age_text = age_text, gender_text = gender_text)
return render_template('index.html')
def attendance(t_id, c_id):
students = recognize.main()
print(students)
cur = mysql.connection.cursor()
formatted_date = now.strftime('%Y-%m-%d')
for id in students:
cur.execute("insert into attendance values (%s,%s,%s,%s,%s)",
(c_id, t_id, id, 'p', formatted_date))
mysql.connection.commit()
cur.close()
return redirect('/')
dict(VOICEKIT_API_KEY=open(args.api_key).read().strip(),
VOICEKIT_SECRET_KEY=open(args.secret_key).read().strip()))
transcript = []
for t in json.load(open(args.input_path)):
sample_rate, signal = scipy.io.wavfile.read(t['audio_path'])
assert signal.dtype == 'int16' and sample_rate in [8_000, 16_000]
sys.argv = [
'recognize.py', t['audio_path'], '--rate',
str(sample_rate), '--do_not_perform_vad', '--encoding', 'LINEAR16',
'--num_channels', '1'
]
stdout = io.StringIO()
with contextlib.redirect_stdout(stdout):
recognize.main()
hyp = ' '.join(
line.replace('Transcription ', '')
for line in stdout.getvalue().splitlines()
if line.startswith('Transcription '))
transcript.append(dict(t, hyp=hyp))
transcript_path = os.path.join(
args.output_path,
os.path.basename(args.input_path) + f'.{args.vendor}.json')
json.dump(transcript,
open(transcript_path, 'w'),
ensure_ascii=False,
indent=2,
sort_keys=True)
print(transcript_path)
def trans_compute(audio_list):
initob = (speech_sess, input_x, output_y, relu, LM_model, alphabet,
datagen)
prediction = recognize.main(audio_list, initob)
return prediction
def dodaj_gestu(self):
from add_gesture import main
main()
def prepoznaj(self):
from recognize import main
main()