formatting (872d533c) · Commits · IVAS Codec Public Collaboration / IVAS Processing Scripts

item_generation_scripts/init.py

+0 −2

Original line number	Diff line number	Diff line
		@@ -32,8 +32,6 @@

		import logging
		import os
		import pdb
		from itertools import repeat

		import yaml

item_generation_scripts/constants.py

+1 −1

Original line number	Diff line number	Diff line
		@@ -33,7 +33,7 @@
		from datetime import datetime
		from pathlib import Path

		from item_generation_scripts.utils import find_binary, get_binary_paths
		from item_generation_scripts.utils import get_binary_paths

		LOGGER_SUFFIX = ".log"
		LOGGER_FORMAT = (

item_generation_scripts/processing/config.py

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Original line number	Diff line number	Diff line
		@@ -37,7 +37,6 @@ import yaml

		from item_generation_scripts.constants import (
		DEFAULT_CONFIG,
		DEFAULT_CONFIG_ISM2,
		REQUIRED_KEYS,
		)

item_generation_scripts/processing/process_ism_items.py

+5 −14

Original line number	Diff line number	Diff line
		@@ -34,20 +34,11 @@
		import csv
		import logging
		import os
		import shutil
		import subprocess as sp
		import sys
		from pathlib import Path

		import numpy as np

		from item_generation_scripts.audiotools import (
		audio,
		audioarray,
		audiofile,
		binauralobjectrenderer,
		metadata,
		)
		from item_generation_scripts.audiotools import audio, audiofile
		from item_generation_scripts.audiotools.wrappers.bs1770 import get_loudness


		@@ -82,7 +73,7 @@ def generate_ism_items(
		source_file = np.atleast_1d(scene["source"])[i]
		source_azi = np.atleast_1d(scene["azimuth"])[i]
		source_ele = np.atleast_1d(scene["elevation"])[i]
		source_type = "speech" #### !!!! TBD - support generic audio + background noise and speech in the .yml file
		# source_type = "speech" # !!!! TBD - support generic audio + background noise and speech in the .yml file
		source_delay = np.atleast_1d(scene["delay"])[i]

		logger.info(
		@@ -90,7 +81,7 @@ def generate_ism_items(
		)

		# read source file
		# x, fs = audiofile.read(os.path.join(input_path, source_file)) #### !!!! TBD - check the support for headerless .raw files
		# x, fs = audiofile.read(os.path.join(input_path, source_file)) # !!!! TBD - check the support for headerless .raw files
		# pdb.set_trace()
		audio_object = audio.fromfile("MONO", os.path.join(input_path, source_file))

		@@ -167,7 +158,7 @@ def generate_ism_items(
		# additional metadata
		dist = np.ones(
		N_frames
		) #### !!!! TBD - check what to do with these metadata
		) # !!!! TBD - check what to do with these metadata
		spread = np.zeros(N_frames)
		gain = np.ones(N_frames)

		@@ -229,7 +220,7 @@ def generate_ism_items(
		output_filename = scene["name"]
		audiofile.write(
		os.path.join(output_path, output_filename), y, fs
		) ### !!!! replace all os.path.xxx operations with the Path object
		) # !!!! TBD: replace all os.path.xxx operations with the Path object

		# write individual ISM metadata to output files in .csv format
		for i in range(N_sources):