from metadata import readMetadata import replaygain opts, args = parse_args() if len(args) != 2: sys.exit(1) cmd = './' + os.path.basename(sys.argv[0]) + ' -h' os.system(cmd) sys.exit(1) startTime = float(opts.startTime) endTime = float(opts.endTime) pool = essentia.Pool() readMetadata(args[0], pool) replaygain.compute(args[0], pool, startTime, endTime) rgain, sampleRate, downmix = getAnalysisMetadata(pool) loader = streaming.EqloudLoader(filename=args[0], sampleRate=sampleRate, startTime=startTime, endTime=endTime, replayGain=rgain, downmix=downmix) compute(loader.audio, loader.audio, pool, startTime, endTime, sampleRate=analysisSampleRate)
sys.exit(1) #profile = args[0] input_file = args[0] output_file = args[1] pool = Pool() startTime = float(opt.startTime) endTime = float(opt.endTime) # compute descriptors readMetadata(input_file, pool) INFO('Process step 1: Replay Gain') replaygain.compute(input_file, pool, startTime, endTime) segments_namespace=[] if opt.segmentation: INFO('Process step 2: Low Level') computeLowLevel(input_file, pool, startTime, endTime) segmentation.compute(input_file, pool, startTime, endTime) segments = pool['segmentation.timestamps'] for i in xrange(len(segments)-1): startTime = segments[i] endTime = segments[i+1] INFO('**************************************************************************') INFO('Segment ' + str(i) + ': processing audio from ' + str(startTime) + 's to ' + str(endTime) + 's') INFO('**************************************************************************')
from metadata import readMetadata import replaygain opts, args = parse_args() if len(args) != 2: sys.exit(1) cmd = './'+os.path.basename(sys.argv[0])+ ' -h' os.system(cmd) sys.exit(1) startTime = float(opts.startTime) endTime=float(opts.endTime) pool = essentia.Pool() readMetadata(args[0], pool) replaygain.compute(args[0], pool, startTime, endTime) rgain, sampleRate, downmix = getAnalysisMetadata(pool) loader = streaming.EqloudLoader(filename = args[0], sampleRate = sampleRate, startTime = startTime, endTime = endTime, replayGain = rgain, downmix = downmix) compute(loader.audio, loader.audio, pool, startTime, endTime, sampleRate=analysisSampleRate) essentia.run(loader) # check if we processed enough audio for it to be useful, in particular did
opts, args = parse_args() if len(args) != 2: sys.exit(1) cmd = './'+os.path.basename(sys.argv[0])+ ' -h' os.system(cmd) sys.exit(1) startTime = float(opts.startTime) endTime=float(opts.endTime) pool = essentia.Pool() readMetadata(args[0], pool) rgain, sampleRate, downmix = getAnalysisMetadata(pool) loader = streaming.EqloudLoader(filename = filename, sampleRate = sampleRate, startTime = startTime, endTime = endTime, replayGain = rgain, downmix = downmix) replaygain.compute(source, pool, startTime, endTime) lowlevel.compute(source, pool, startTime, endTime, sampleRate=analysisSampleRate) compute(source, pool, startTime, endTime, sampleRate=analysisSampleRate) stats = ['mean', 'var', 'min', 'max', 'dmean', 'dmean2', 'dvar', 'dvar2'] poolStats = essentia.standard.PoolAggregator(defaultStats=stats)(pool) essentia.standard.YamlOutput(filename=args[1])(poolStats)
print "Incorrect number of arguments\n", essentia_usage sys.exit(1) #profile = args[0] input_file = args[0] output_file = args[1] pool = Pool() startTime = float(opt.startTime) endTime = float(opt.endTime) # compute descriptors readMetadata(input_file, pool) INFO('Process step 1: Replay Gain') replaygain.compute(input_file, pool, startTime, endTime) segments_namespace = [] if opt.segmentation: INFO('Process step 2: Low Level') computeLowLevel(input_file, pool, startTime, endTime) segmentation.compute(input_file, pool, startTime, endTime) segments = pool['segmentation.timestamps'] for i in xrange(len(segments) - 1): startTime = segments[i] endTime = segments[i + 1] INFO( '**************************************************************************' ) INFO('Segment ' + str(i) + ': processing audio from ' +
if len(args) != 2: sys.exit(1) cmd = './' + os.path.basename(sys.argv[0]) + ' -h' os.system(cmd) sys.exit(1) startTime = float(opts.startTime) endTime = float(opts.endTime) pool = essentia.Pool() readMetadata(args[0], pool) rgain, sampleRate, downmix = getAnalysisMetadata(pool) loader = streaming.EqloudLoader(filename=filename, sampleRate=sampleRate, startTime=startTime, endTime=endTime, replayGain=rgain, downmix=downmix) replaygain.compute(source, pool, startTime, endTime) lowlevel.compute(source, pool, startTime, endTime, sampleRate=analysisSampleRate) compute(source, pool, startTime, endTime, sampleRate=analysisSampleRate) stats = ['mean', 'var', 'min', 'max', 'dmean', 'dmean2', 'dvar', 'dvar2'] poolStats = essentia.standard.PoolAggregator(defaultStats=stats)(pool) essentia.standard.YamlOutput(filename=args[1])(poolStats)