mirror of
https://github.com/KrisKennaway/ii-vision.git
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88 lines
2.2 KiB
Python
88 lines
2.2 KiB
Python
import numpy as np
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import audioread
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import librosa
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import opcodes
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import video
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TICKS = {
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4: opcodes.Tick4,
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6: opcodes.Tick6,
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8: opcodes.Tick8,
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10: opcodes.Tick10,
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12: opcodes.Tick12,
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14: opcodes.Tick14,
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16: opcodes.Tick16,
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18: opcodes.Tick18,
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20: opcodes.Tick20,
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22: opcodes.Tick22,
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24: opcodes.Tick24,
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26: opcodes.Tick26,
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28: opcodes.Tick28,
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30: opcodes.Tick30,
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32: opcodes.Tick32,
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34: opcodes.Tick34,
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36: opcodes.Tick36,
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38: opcodes.Tick38,
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40: opcodes.Tick40,
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42: opcodes.Tick42,
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44: opcodes.Tick44,
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46: opcodes.Tick46,
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48: opcodes.Tick48,
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50: opcodes.Tick50,
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52: opcodes.Tick52,
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54: opcodes.Tick54,
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56: opcodes.Tick56,
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58: opcodes.Tick58,
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60: opcodes.Tick60,
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62: opcodes.Tick62,
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64: opcodes.Tick64,
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66: opcodes.Tick66,
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}
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class Audio:
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def encode_audio(self, audio):
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for a in audio:
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a = max(-30, min(a * 2, 32)) + 34
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yield TICKS[a]()
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def main():
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filename = "Computer Chronicles - 06x05 - The Apple II.mp4"
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s = video.Video(frame_rate=None)
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au = Audio()
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with audioread.audio_open(filename) as f:
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with open("out.bin", "wb") as out:
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for buf in f.read_data(128 * 1024):
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print(f.channels, f.samplerate, f.duration)
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data = np.frombuffer(buf, dtype='int16').astype(
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'float32').reshape((f.channels, -1), order='F')
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a = librosa.core.to_mono(data)
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a = librosa.resample(a, f.samplerate, 14000).flatten()
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# Normalize to 95%ile
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# norm = max(
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# abs(np.percentile(a, 5, axis=0)),
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# abs(np.percentile(a, 95, axis=0))
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# )
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# print(min(a),max(a))
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# print(norm)
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# XXX how to estimate normalization without reading whole file?
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norm = 12000
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a /= norm # librosa.util.normalize(a)
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a = (a * 32).astype(np.int)
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out.write(bytes(s.emit_stream(au.encode_audio(a))))
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out.write(bytes(s.done()))
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if __name__ == "__main__":
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main()
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