def urbansound_analysis(metafile):
if not os.path.exists(metafile):
raise Exception("Metafile UrbanSound is not found")
with open(metafile, "r") as f:
data = csv.reader(f)
classes = list()
duration_hist = list()
header = False
for line in data:
try:
duration = str(math.ceil(float(line[3]) - float(line[2])))
duration_hist.append(duration)
color = "green"
info = str("File: ") + line[0] + str(" class: ") + line[-1]
if header:
classes.append(line[-1])
else:
header = True
except:
color = "red"
info = "File has been passed"
print(termcolor.colored(info, color))
analysis.histogram(classes, filename="urbansound_class")
analysis.histogram(duration_hist, filename="urabnsound_duration")
def freesound_analysis(search_tokens, output, lim_page_count=1, key=None):
lim_page_count = int(lim_page_count)
try:
client = freesound.FreesoundClient()
client.set_token(key, "token")
print(termcolor.colored("Authorisation successful ", "green"))
except:
print(termcolor.colored("Authorisation failed ", "red"))
classes = list()
for token in search_tokens:
try:
results = client.text_search(query=token,
fields="id,name,previews")
output_catalog = os.path.normpath(output)
if not os.path.exists(output_catalog):
os.makedirs(output_catalog)
page_count = int(0)
while True:
for sound in results:
try:
classes.append(token)
info = "Data has been getter: " + str(sound.name)
print(termcolor.colored(info, "green"))
except:
info = "Data has not been getter: " + str(sound.name)
print(termcolor.colored(info, "red"))
page_count += 1
if (not results.next) or (lim_page_count == page_count):
page_count = 0
break
results = results.next_page()
except:
print(termcolor.colored(" Search is failed ", "red"))
analysis.histogram(classes)
pass
def audioset_analysis(audioset_file, inputOntology):
if not os.path.exists(inputOntology) or not os.path.exists(audioset_file):
raise Exception("Can not found file")
with open(audioset_file, 'r') as fe:
csv_data = csv.reader(fe)
sx = list()
with open(inputOntology) as f:
data = json.load(f)
duration_hist = list()
for row in csv_data:
if row[0][0] == '#':
continue
classes = row[3:]
try:
color = "green"
tmp_duration = str(float(row[2]) - float(row[1]))
info = str("id: ") + str(
row[0]) + str(" duration: ") + tmp_duration
duration_hist.append(tmp_duration)
for cl in classes:
for dt in data:
cl = str(cl).strip().replace('"', "")
if cl == dt['id'] and len(dt['child_ids']) == 0:
sx.append(dt['name'])
info += str(" ") + str(dt['name']) + str(",")
except:
color = "red"
info = "File has been pass: "******"audioset_class")
analysis.pie_chart(duration_hist,
textinfo="percent + label",
filename="audioset_duration")
QUEUE.close()
DB_CONN.close()
sys.exit(1)
try:
CONFS = analysis.statistics(QUEUE, sys.argv[2], sys.argv[3])
manage.print_results(CONFS)
except:
print(sys.exc_info())
elif COMMAND == "histogram":
if len(sys.argv) != 4:
print("Usage: " + sys.argv[0] + " histogram <table> <samples>")
QUEUE.close()
DB_CONN.close()
sys.exit(1)
try:
HISTS = analysis.histogram(QUEUE, sys.argv[2], sys.argv[3])
for hist in HISTS:
i = 0
for item in hist:
print(i, item)
i = i + 1
print("\n\n")
except:
print(sys.exc_info())
elif COMMAND == "optimizationSpace":
if len(sys.argv) != 4:
print("Usage: " + sys.argv[0] + " optimizationSpace <table> <samples>")
QUEUE.close()
DB_CONN.close()
sys.exit(1)
try:
QUEUE.close()
DB_CONN.close()
sys.exit(1)
try:
SCENARIO = "beams = " + sys.argv[3] + " AND sBeams = " + sys.argv[
4] + " AND subbands = " + sys.argv[
5] + " AND channels = " + sys.argv[
6] + " AND zappedChannels = " + sys.argv[
7] + " AND subSamples = " + sys.argv[
8] + " AND samples = " + sys.argv[9]
FLAGS = [False, False]
if "local" in sys.argv:
FLAGS[0] = True
elif "cache" in sys.argv:
FLAGS[1] = False
HISTS = analysis.histogram(QUEUE, sys.argv[2], SCENARIO, FLAGS)
for hist in HISTS:
i = 0
for item in hist:
print(i, item)
i = i + 1
print("\n\n")
except:
print(sys.exc_info())
elif COMMAND == "optimizationSpace":
if len(sys.argv) < 10 or len(sys.argv) > 11:
print(
"Usage: " + sys.argv[0] +
" optimizationSpace <table> <beams> <sBeams> <subbands> <channels> <zappedChannels> <subSamples> <samples> [local|cache]"
)
QUEUE.close()
import analysis
#Create historgram
analysis.histogram()
#Create scatterplot
analysis.scatterplot("sepal_length", "sepal_width")
analysis.scatterplot("petal_length", "petal_width")
analysis.pair_plot()
#Create summary.txt
analysis.writeToAFile
QUEUE.close()
DB_CONN.close()
sys.exit(1)
try:
CONFS = analysis.statistics(QUEUE, sys.argv[2], sys.argv[3])
manage.print_results(CONFS)
except:
print(sys.exc_info())
elif COMMAND == "histogram":
if len(sys.argv) != 4:
print("Usage: " + sys.argv[0] + " histogram <table> <samples>")
QUEUE.close()
DB_CONN.close()
sys.exit(1)
try:
HISTS = analysis.histogram(QUEUE, sys.argv[2], sys.argv[3])
for hist in HISTS:
i = 0
for item in hist:
print(i, item)
i = i + 1
print("\n\n")
except:
print(sys.exc_info())
elif COMMAND == "optimizationSpace":
if len(sys.argv) != 4:
print("Usage: " + sys.argv[0] + " optimizationSpace <table> <samples>")
QUEUE.close()
DB_CONN.close()
sys.exit(1)
try: