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https://github.com/correl/dejavu.git
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27bf6b380b
- added even more docstring to the solution. - changed maximum filter mask on fingerprints (now configurable)
34 lines
1.3 KiB
Python
Executable file
34 lines
1.3 KiB
Python
Executable file
import json
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from dejavu import Dejavu
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from dejavu.logic.recognizer.file_recognizer import FileRecognizer
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from dejavu.logic.recognizer.microphone_recognizer import MicrophoneRecognizer
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# load config from a JSON file (or anything outputting a python dictionary)
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with open("dejavu.cnf.SAMPLE") as f:
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config = json.load(f)
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if __name__ == '__main__':
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# create a Dejavu instance
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djv = Dejavu(config)
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# Fingerprint all the mp3's in the directory we give it
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djv.fingerprint_directory("test", [".wav"])
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# Recognize audio from a file
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results = djv.recognize(FileRecognizer, "mp3/Josh-Woodward--I-Want-To-Destroy-Something-Beautiful.mp3")
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print(f"From file we recognized: {results}\n")
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# Or recognize audio from your microphone for `secs` seconds
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secs = 5
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results = djv.recognize(MicrophoneRecognizer, seconds=secs)
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if results is None:
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print("Nothing recognized -- did you play the song out loud so your mic could hear it? :)")
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else:
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print(f"From mic with {secs} seconds we recognized: {results}\n")
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# Or use a recognizer without the shortcut, in anyway you would like
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recognizer = FileRecognizer(djv)
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results = recognizer.recognize_file("mp3/Josh-Woodward--I-Want-To-Destroy-Something-Beautiful.mp3")
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print(f"No shortcut, we recognized: {results}\n")
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