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dataset.py
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#!/usr/bin/env python
import os
import logging
import argparse
from yoho.utils import (
download_file,
uncompress_file,
get_files,
write_data_to_csv,
)
def join_paths(*paths):
return os.path.abspath(os.path.join(*paths))
SCRIPT_DIRPATH = os.path.abspath(os.path.dirname(__file__))
DATA_PATH = join_paths(SCRIPT_DIRPATH, "../data/")
logging.basicConfig(level=logging.INFO)
"""
def parse_jams_file(jams_file):
\"""
Parse a JAMS file and extract the annotations.
Parameters:
- jams_file (str): The path to the JAMS file.
Returns:
- events (list): A list of tuples containing the event type, start time, and end time.
\"""
jam = jams.load(jams_file)
events = []
for annotation in jam.annotations:
for obs in annotation.data:
start_time = obs.value["event_time"]
end_time = obs.value["event_time"] + obs.value["event_duration"]
label = obs.value["label"]
events.append((label, start_time, end_time))
return events
"""
def download_urbansed():
DATASET_URL = "https://zenodo.org/api/records/1324404/files-archive"
urbansed_raw_path = join_paths(RAW_PATH, "UrbanSED/")
urbansed_zip_file = join_paths(urbansed_raw_path, "UrbanSED.zip")
if not os.path.exists(urbansed_raw_path):
os.makedirs(urbansed_raw_path)
if not os.path.exists(urbansed_zip_file):
download_file(DATASET_URL, urbansed_zip_file)
uncompress_file(urbansed_zip_file, urbansed_raw_path)
uncompress_file(
join_paths(urbansed_raw_path, "URBAN-SED_v2.0.0.tar.gz"),
urbansed_raw_path,
)
# Move all the files to the parent folder
for item in os.listdir(
join_paths(urbansed_raw_path, "URBAN-SED_v2.0.0")
):
item_path = join_paths(urbansed_raw_path, "URBAN-SED_v2.0.0", item)
os.rename(item_path, join_paths(urbansed_raw_path, item))
# Remove the empty folder
os.rmdir(join_paths(urbansed_raw_path, "URBAN-SED_v2.0.0"))
def process_urbansed():
urbansed_processed_path = join_paths(PROCESSED_PATH, "UrbanSED/")
if not os.path.exists(urbansed_processed_path):
os.makedirs(urbansed_processed_path)
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument(
"--tut",
action="store_true", # default=False
help="Download the TUT Sound Events 2017 dataset",
)
parser.add_argument(
"--urbansed",
action="store_true", # default=False
help="Download the UrbanSED dataset",
)
args = parser.parse_args()
if not args.tut and not args.urbansed:
print("Please specify a dataset to download.")
exit()
RAW_PATH = join_paths(DATA_PATH, "raw/")
# Create directories in the data folder if they don't exist
if not os.path.exists(RAW_PATH):
logging.info(f"Creating directory: {RAW_PATH}")
os.makedirs(RAW_PATH)
PROCESSED_PATH = join_paths(DATA_PATH, "processed/")
if not os.path.exists(PROCESSED_PATH):
logging.info(f"Creating directory: {PROCESSED_PATH}")
os.makedirs(PROCESSED_PATH)
if args.tut:
pass
if args.urbansed:
download_urbansed()
process_urbansed()
"""
ANNOTATIONS_TRAIN_PATH = os.path.join(
urban_sed_subfolder, "annotations/train/"
)
ANNOTATIONS_VALIDATE_PATH = os.path.join(
urban_sed_subfolder, "annotations/validate/"
)
ANNOTATIONS_TEST_PATH = os.path.join(
urban_sed_subfolder, "annotations/test/"
)
AUDIO_TRAIN_PATH = os.path.join(urban_sed_subfolder, "audio/train/")
AUDIO_TEST_PATH = os.path.join(urban_sed_subfolder, "audio/test/")
AUDIO_VAL_PATH = os.path.join(urban_sed_subfolder, "audio/validate/")
train_files = get_files(ANNOTATIONS_TRAIN_PATH, extensions=".jams")
validate_files = get_files(ANNOTATIONS_VALIDATE_PATH, extensions=".jams")
test_files = get_files(ANNOTATIONS_TEST_PATH, extensions=".jams")
# Process the training data
urbansed_data = {}
for f in train_files:
f_path = ANNOTATIONS_TRAIN_PATH + f
f = f.split(".")[0] + ".wav"
urbansed_data[AUDIO_TRAIN_PATH + f] = parse_jams_file(f_path)
write_data_to_csv(
urbansed_data,
os.path.join(
SCRIPT_DIRPATH,
"../data/processed/URBAN-SED/URBAN-SED_train.csv",
),
)
# Process the validation data
urbansed_data = {}
for f in validate_files:
f_path = ANNOTATIONS_VALIDATE_PATH + f
f = f.split(".")[0] + ".wav"
urbansed_data[AUDIO_VAL_PATH + f] = parse_jams_file(f_path)
write_data_to_csv(
urbansed_data,
os.path.join(
SCRIPT_DIRPATH,
"../data/processed/URBAN-SED/URBAN-SED_validate.csv",
),
)
# Process the test data
urbansed_data = {}
for f in test_files:
f_path = ANNOTATIONS_TEST_PATH + f
f = f.split(".")[0] + ".wav"
urbansed_data[AUDIO_TEST_PATH + f] = parse_jams_file(f_path)
write_data_to_csv(
urbansed_data,
os.path.join(
SCRIPT_DIRPATH,
"../data/processed/URBAN-SED/URBAN-SED_test.csv",
),
)
"""
"""# TUT Sound Events 2017 Dataset
tut_urls = [
(
"TUT-sound-events-2017-development",
"https://zenodo.org/api/records/814831/files-archive",
),
(
"TUT-sound-events-2017-evaluation",
"https://zenodo.org/api/records/1040179/files-archive",
),
]
tut_raw_folder = os.path.join(SCRIPT_DIRPATH, "../data/raw/TUT")
for tut_name, tut_url in tut_urls:
if not os.path.exists(tut_raw_folder):
os.makedirs(tut_raw_folder)
archive_filepath = os.path.join(tut_raw_folder, f"{tut_name}.zip")
tut_extract_to_subfolder = os.path.join(tut_raw_folder, tut_name)
download_file(tut_url, archive_filepath)
uncompress_file(archive_filepath, tut_extract_to_subfolder)
for item in os.listdir(tut_extract_to_subfolder):
if item.endswith(".zip"):
zipped_file = os.path.join(tut_extract_to_subfolder, item)
unzipped_file = zipped_file.rsplit(".", 1)[
0
] # Remove .zip extension
uncompress_file(zipped_file, unzipped_file)
if not os.path.exists(os.path.join(SCRIPT_DIRPATH, "../data/processed")):
os.makedirs(os.path.join(SCRIPT_DIRPATH, "../data/processed"))
if not os.path.exists(
os.path.join(SCRIPT_DIRPATH, "../data/processed/TUT")
):
os.makedirs(os.path.join(SCRIPT_DIRPATH, "../data/processed/TUT"))
AUDIO_1_PATH = os.path.join(
SCRIPT_DIRPATH,
"../data/raw/TUT/TUT-sound-events-2017-development/TUT-sound-events-2017-development.audio.1/TUT-sound-events-2017-development/audio/street/",
)
AUDIO_2_PATH = os.path.join(
SCRIPT_DIRPATH,
"../data/raw/TUT/TUT-sound-events-2017-development/TUT-sound-events-2017-development.audio.2/TUT-sound-events-2017-development/audio/street/",
)
DATA_PATH = os.path.join(SCRIPT_DIRPATH, "../data/processed/TUT/")
DEVELOPMENT_ANNOTATIONS_PATH = os.path.join(
SCRIPT_DIRPATH,
"../data/raw/TUT/TUT-sound-events-2017-development/TUT-sound-events-2017-development.meta/TUT-sound-events-2017-development/meta/street/",
)
files = get_files(DEVELOPMENT_ANNOTATIONS_PATH, extensions=".ann")
tut_data_train = {}
for f in files:
with open(DEVELOPMENT_ANNOTATIONS_PATH + f, "r"):
f_name = f.split(".")[0] + ".wav"
if f_name in ["a128.wav", "a131.wav", "b007.wav", "b093.wav"]:
f_path = os.path.abspath(os.path.join(AUDIO_2_PATH + f_name))
else:
f_path = os.path.abspath(os.path.join(AUDIO_1_PATH + f_name))
tut_data_train[f_path] = []
print(f"Processing {f_path}...")
with open(DEVELOPMENT_ANNOTATIONS_PATH + f, "r") as file:
reader = csv.reader(file)
for row in reader:
if row:
# split in \t and get the start and end time
row = row[0].split("\t")
start = float(row[2])
end = float(row[3])
label = row[4]
tut_data_train[f_path].append((label, start, end))
write_data_to_csv(
tut_data_train,
os.path.join(
SCRIPT_DIRPATH,
"../data/processed/TUT/TUT-sound-events-2017-development.csv",
),
)
import soundfile as sf
DATA_PATH = os.path.join(DATA_PATH, "TUT-sound-events-2017-development")
if not os.path.exists(DATA_PATH):
os.makedirs(DATA_PATH)
# Process the data
for f in tut_data_train.keys():
audio = AudioFile(filepath=f, labels=[])
audioclips = audio.subdivide(win_len=2.56, hop_len=1.96)
for i, audioclip in enumerate(audioclips):
sf.write(
os.path.join(
DATA_PATH, f"{os.path.basename(f).split('.')[0]}_{i}.wav"
),
data=audioclip.waveform,
samplerate=audioclip.sr,
)
AUDIO_1_PATH = os.path.join(
SCRIPT_DIRPATH,
"../data/raw/TUT/TUT-sound-events-2017-evaluation/TUT-sound-events-2017-evaluation.audio/TUT-sound-events-2017-evaluation/audio/street/",
)
DATA_PATH = os.path.join(SCRIPT_DIRPATH, "../data/processed/TUT/")
EVALUATION_ANNOTATIONS_PATH = os.path.join(
SCRIPT_DIRPATH,
"../data/raw/TUT/TUT-sound-events-2017-evaluation/TUT-sound-events-2017-evaluation.meta/TUT-sound-events-2017-evaluation/meta/street/",
)
files = get_files(EVALUATION_ANNOTATIONS_PATH, extensions=".ann")
tut_data_evaluation = {}
for f in files:
with open(EVALUATION_ANNOTATIONS_PATH + f, "r"):
f_name = f.split(".")[0] + ".wav"
f_path = AUDIO_1_PATH + f_name
tut_data_evaluation[f_path] = []
print(f"Processing {f_path}...")
with open(EVALUATION_ANNOTATIONS_PATH + f, "r") as file:
reader = csv.reader(file)
for row in reader:
if row:
# split in \t and get the start and end time
row = row[0].split("\t")
start = float(row[0])
end = float(row[1])
label = row[2]
tut_data_evaluation[f_path].append((label, start, end))
write_data_to_csv(
tut_data_evaluation,
os.path.join(
SCRIPT_DIRPATH,
"../data/processed/TUT/TUT-sound-events-2017-evaluation.csv",
),
)"""