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| from moviepy.editor import AudioFileClip | |
| import os | |
| from keras.models import load_model | |
| from Sound2Img import sound_2_Img | |
| from pydub import AudioSegment | |
| from useClahe import applyClahe | |
| class convertWav(): | |
| def __init__(self, video_path, save_path): | |
| self.video_path = video_path | |
| self.save_path = save_path | |
| def convert(self, v_path, s_path, ext): | |
| AudioFileClip(v_path).write_audiofile(f"{s_path}.{ext}") | |
| self.convert2Mono(s_path, ext) | |
| def convert2Mono(self, s_path, ext): | |
| sound = AudioSegment.from_wav(s_path + '.' + ext) | |
| sound = sound.set_channels(1) | |
| sound.export(s_path + '.' + ext, format="wav") | |
| def beginn(self): | |
| for i in os.listdir(self.video_path): | |
| path = self.video_path + i | |
| save_path_ = save_path + i | |
| Ext = "wav" | |
| self.convert(path, save_path_, Ext) | |
| path = "Videos/tr/" | |
| save_path = "Sounds/tr/" | |
| converter = convertWav(path, save_path) | |
| converter.beginn() | |
| # model = load_model("models/CLAHE/148epochCLAHEcallback.h5") | |
| # sound_2_Img(save_path).save_spectrograms() | |
| # print("Spektrogram oluşturuldu!") | |
| # | |
| # applyClahe(save_path + 'images/').apply() | |
| # print("Clahe uygulandı!") | |
| # for i in os.listdir(save_path + 'images/'): | |
| # model.predict(i) |