def generate(background_color, color, gap, height, manual_width, maximum_width,
minimum_width, input_path, output_path):
"""
\b
Generating simple waveform image based on the given audio file.
project home: https://github.com/danielbene/wform-cli
\b
usage examples:
- wform-cli-win.exe c:\\path\\to\\audio.wav c:\\path\\to\\image.png
- wform-cli-win.exe -bg '#FFFFFF' -c '#494949' c:\\audio.wav c:\\image.png
- wform-cli-linux /home/user/Music/audio.wav /home/user/image.png
- wform-cli-linux -manw 75000 /path/to/audio.wav image.png
- wform-cli-linux -minw 20000 -maxw 200000 -c '#494949' /path/to/audio.wav image.png
\b
limitations:
- audio files fully loaded into memory during generation
- basic wav files supported out of the box,
but everything else (mp3, ogg, etc) needs ffmpeg on the system
(eg.: signed-integer wav encoding is ok, but a-law is not)
- only png output is supported now (but it allows transparency)
"""
waveform = Waveform(input_path, gap, height, manual_width, maximum_width,
minimum_width)
wform_image = waveform.generate_waveform_image(background_color, color)
waveform.save(output_path, wform_image)
def upload_route():
if request.method == 'POST':
if 'file' not in request.files:
options = {"noFile": True}
return render_template("upload.html", **options)
files = request.files.getlist('file')
model_file = os.path.join(os.getcwd(), 'model2', 'model')
identify = classiFier(model_file=model_file, verbose=True)
matches = []
file_num = len(files)
for file in files:
if file.filename == '':
options = {"emptyname": True}
return render_template("upload.html", **options)
else:
filename = secure_filename(file.filename)
user_file_temp = os.path.join(config.env['UPLOAD_FOLDER'],
filename)
file.save(user_file_temp)
with open(user_file_temp, 'rb') as file_contents:
sample_id = crc32(file_contents.read())
filename = str(sample_id) + '.WAV'
user_file = os.path.join(config.env['UPLOAD_FOLDER'], filename)
os.rename(user_file_temp, user_file)
result = identify.classFile(user_file,
username=current_user.get_id())
first_match_name = result["values"][8]
first_match = [{
"name":
first_match_name[1:first_match_name.find('_')].title(),
"value":
float(result["values"][9])
}, {
"name": "Other",
"value": 1 - float(result["values"][9])
}]
second_match_name = result["values"][10]
second_match = [{
"name":
second_match_name[1:second_match_name.find('_')].title(),
"value":
float(result["values"][11])
}, {
"name": "Other",
"value": 1 - float(result["values"][11])
}]
third_match_name = result["values"][12]
third_match = [{
"name":
third_match_name[1:third_match_name.find('_')].title(),
"value":
float(result["values"][13])
}, {
"name": "Other",
"value": 1 - float(result["values"][13])
}]
user_waveform = Waveform(user_file)
user_waveform.save()
user_waveform_file = user_file.replace(
user_file.split('.')[-1], 'png').replace(os.getcwd(), '')
user_file = user_file.replace(os.getcwd(), '..')
activity_file = os.path.join(config.env['UPLOAD_FOLDER'],
'activity/' + filename)
if os.path.isfile(activity_file):
activity_waveform = Waveform(activity_file)
activity_waveform.save()
activity_waveform_file = activity_file.replace(
activity_file.split('.')[-1],
'png').replace(os.getcwd(), '')
activity_file = activity_file.replace(os.getcwd(), '..')
else:
activity_waveform_file = None
activity_file = None
noise_file = os.path.join(config.env['UPLOAD_FOLDER'],
'noise/' + filename)
if os.path.isfile(noise_file):
noise_waveform = Waveform(noise_file)
noise_waveform.save()
noise_waveform_file = noise_file.replace(
noise_file.split('.')[-1],
'png').replace(os.getcwd(), '')
noise_file = noise_file.replace(os.getcwd(), '..')
else:
noise_waveform_file = None
noise_file = None
user_clean_file = os.path.join(config.env['UPLOAD_FOLDER'],
'users_clean/' + filename)
if os.path.isfile(user_clean_file):
user_clean_waveform = Waveform(user_clean_file)
user_clean_waveform.save()
user_clean_waveform_file = user_clean_file.replace(
user_clean_file.split('.')[-1],
'png').replace(os.getcwd(), '')
user_clean_file = user_clean_file.replace(
os.getcwd(), '..')
else:
user_clean_waveform_file = None
user_clean_file = None
db = extensions.connect_to_database()
cur = db.cursor()
cur.execute("SELECT * FROM sampleInfo WHERE sampleid = %s",
(result['sample_id'], ))
result_sample = cur.fetchall()
cur.close()
latitude = result_sample[0]['latitude']
longitude = result_sample[0]['longitude']
humidity = result_sample[0]['humidity']
temp = result_sample[0]['temp']
if temp:
temp = int(round(temp))
light = result_sample[0]['light']
if light:
light = int(round(light))
matches.append({
'user': user_waveform_file,
'filename': user_file,
'sample_id': result['sample_id'],
'first_match': json.dumps(first_match),
'second_match': json.dumps(second_match),
'third_match': json.dumps(third_match),
'activity': activity_waveform_file,
'activity_audio': activity_file,
'noise': noise_waveform_file,
'noise_audio': noise_file,
'user_clean': user_clean_waveform_file,
'user_clean_audio': user_clean_file,
'file_num': file_num,
'latitude': latitude,
'longitude': longitude,
'humidity': humidity,
'temperature': temp,
'light': light
})
options = {
'matches': matches,
}
return render_template("upload.html", **options)
return render_template("upload.html")
def apiUpload_route():
#basically copied and pastedd from ../controllers/upload.py. Difference is missing html rendering right here at the beginning and at end. See end for details.
files = request.files.getlist('file')
model_file = os.path.join(os.getcwd(), 'model2', 'model')
identify = classiFier(model_file=model_file, verbose=True)
matches = []
file_num = len(files)
filename = secure_filename(file.filename)
user_file_temp = os.path.join(config.env['UPLOAD_FOLDER'], filename)
file.save(user_file_temp)
with open(user_file_temp, 'rb') as file_contents:
sample_id = crc32(file_contents.read())
filename = str(sample_id) + '.WAV'
user_file = os.path.join(config.env['UPLOAD_FOLDER'], filename)
os.rename(user_file_temp, user_file)
result = identify.classFile(user_file, username=current_user.get_id())
first_match_name = result["values"][8]
first_match = [{"name": first_match_name[1:first_match_name.find('_')].title(), "value": float(result["values"][9])}, {"name": "Other", "value": 1 - float(result["values"][9])}]
second_match_name = result["values"][10]
second_match = [{"name": second_match_name[1:second_match_name.find('_')].title(), "value": float(result["values"][11])}, {"name": "Other", "value": 1 - float(result["values"][11])}]
third_match_name = result["values"][12]
third_match = [{"name": third_match_name[1:third_match_name.find('_')].title(), "value": float(result["values"][13])}, {"name": "Other", "value": 1 - float(result["values"][13])}]
user_waveform = Waveform(user_file)
user_waveform.save()
user_waveform_file = user_file.replace(user_file.split('.')[-1], 'png').replace(os.getcwd(), '')
user_file = user_file.replace(os.getcwd(), '..')
activity_file = os.path.join(config.env['UPLOAD_FOLDER'], 'activity/' + filename)
if os.path.isfile(activity_file):
activity_waveform = Waveform(activity_file)
activity_waveform.save()
activity_waveform_file = activity_file.replace(activity_file.split('.')[-1], 'png').replace(os.getcwd(), '')
activity_file = activity_file.replace(os.getcwd(), '..')
else:
activity_waveform_file = None
activity_file = None
noise_file = os.path.join(config.env['UPLOAD_FOLDER'], 'noise/' + filename)
if os.path.isfile(noise_file):
noise_waveform = Waveform(noise_file)
noise_waveform.save()
noise_waveform_file = noise_file.replace(noise_file.split('.')[-1], 'png').replace(os.getcwd(), '')
noise_file = noise_file.replace(os.getcwd(), '..')
else:
noise_waveform_file = None
noise_file = None
user_clean_file = os.path.join(config.env['UPLOAD_FOLDER'], 'users_clean/' + filename)
if os.path.isfile(user_clean_file):
user_clean_waveform = Waveform(user_clean_file)
user_clean_waveform.save()
user_clean_waveform_file = user_clean_file.replace(user_clean_file.split('.')[-1], 'png').replace(os.getcwd(), '')
user_clean_file = user_clean_file.replace(os.getcwd(), '..')
else:
user_clean_waveform_file = None
user_clean_file = None
cur = db.cursor()
cur.execute("SELECT * FROM sampleInfo WHERE sampleid = %s", (result['sample_id'], ))
result_sample = cur.fetchall()
latitude = result_sample[0]['latitude']
longitude = result_sample[0]['longitude']
humidity = result_sample[0]['humidity']
temp = result_sample[0]['temp']
if temp:
temp = int(round(temp))
light = result_sample[0]['light']
if light:
light = int(round(light))
matches.append({
'user': user_waveform_file,
'filename': user_file,
'sample_id': result['sample_id'],
'first_match': json.dumps(first_match),
'second_match': json.dumps(second_match),
'third_match': json.dumps(third_match),
'activity': activity_waveform_file,
'activity_audio': activity_file,
'noise': noise_waveform_file,
'noise_audio': noise_file,
'user_clean': user_clean_waveform_file,
'user_clean_audio': user_clean_file,
'file_num': file_num,
'latitude': latitude,
'longitude': longitude,
'humidity': humidity,
'temperature': temp,
'light': light
})
options = {
'matches': matches,
}
#difference here. Instead of return html, returns file.
return jsonify(options)