import threading
import logging
import time
import numpy as np
import librosa
import bisect
import math
from .base_analyzer import BaseAnalyzer
class BeatAnalyzer(BaseAnalyzer):
def __init__(self,
rec_time = 5,
initial_bpm = 120,
smooth_ratio = .2
):
BaseAnalyzer.__init__(self)
self.initial_k = 60 / initial_bpm
self.current_b = time.time()
self.current_k = self.initial_k
self.expected_b = None
self.expected_k = None
self.beat_count = 0
self.rec_time = rec_time
self.smooth_ratio = smooth_ratio
def register_recorder(self,recorder):
BaseAnalyzer.register_recorder(self,recorder)
self.rec_size = self.sr * self.rec_time
def run(self):
while self.recorder.start_time is None:
time.sleep(1)
self.current_b = time.time()
self.start_time = self.recorder.start_time
while self.running.isSet():
if len(self.audio_data) < 4 * self.sr:
time.sleep(.5)
self.logger.debug("The data is not enough...")
continue
start_samples = len(self.audio_data) - self.rec_size if len(self.audio_data) > self.rec_size else 0
data = np.array(self.audio_data[start_samples:]).astype(np.float32)
start_time = start_samples / self.sr
tmpo, _beat_frames = librosa.beat.beat_track(y=data,sr = self.sr)
beat_times = librosa.frames_to_time(_beat_frames) + start_time + self.start_time
if len(beat_times) < 5:
self.logger.debug("The beats count <%d> is not enough..."%len(beat_times))
continue
self.expected_k,self.expected_b = np.polyfit(range(len(beat_times)),beat_times,1)
def block_until_next_beat(self):
if self.expected_b is None:
now = time.time()
pred_i = math.ceil((now - self.current_b)/self.current_k)
self.beat_count += pred_i
pred_v2 = pred_i * self.current_k + self.current_b
pred_v1 = pred_v2 - self.current_k
pred = pred_v2
else:
now = time.time()
pred_i = math.ceil((now - self.current_b)/self.current_k)
pred_v2 = pred_i * self.current_k + self.current_b
pred_v1 = pred_v2 - self.current_k
exp_i = math.ceil((pred_v2 - self.expected_b)/self.expected_k)
exp_v2 = exp_i * self.expected_k + self.expected_b
exp_v1 = exp_v2 - self.expected_k
if (pred_v2-exp_v1) < (exp_v2-pred_v2):
pred = pred_v2 + (exp_v1-pred_v2)*(1-self.smooth_ratio)
self.beat_count += pred_i
else:
pred = pred_v2 + (exp_v2-pred_v2)*(1-self.smooth_ratio)
self.beat_count += pred_i
self.current_b = pred
self.current_k = pred - pred_v1
if not self.expected_k is None:
self.current_k = self.current_k + (self.expected_k - self.current_k)*(1-self.smooth_ratio)
if self.current_k < self.initial_k*.45:
self.current_k *= 2
if self.current_k > self.initial_k * 2.1:
self.current_k /= 2
while time.time() < pred:
time.sleep(.01)
return self.beat_count
