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2 files changed +9
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+ numpy == 1.23.0
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pandas
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transformers
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scipy
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scikit-learn
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scikit-image
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- tensorflow == 2.11 .0 # you can flexible it, this is gpu version
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+ tensorflow == 2.6 .0 # you can flexible it, this is gpu version
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tensorboard
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tensorboardX
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python_speech_features
@@ -12,10 +13,10 @@ opencv_python
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face_alignment
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matplotlib
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configargparse
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- librosa # ==0.9.2
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- praat-parselmouth # ==0.3 .3
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+ librosa == 0.9.2
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+ praat-parselmouth == 0.4 .3
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trimesh
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- kornia # ==0.5.0
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+ kornia == 0.5.0
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PyMCubes
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lpips
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setuptools # ==59.5.0
@@ -24,4 +25,4 @@ moviepy
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dearpygui
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ninja
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pyaudio # for extract esperanto
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- mediapipe
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+ mediapipe == 0.8.11
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import os
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face3d_helper = Face3DHelper ('deep_3drecon/BFM' )
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- lrs3_stats = np .load ('data/binary/lrs3/stats.npy' ,allow_pickle = True ).tolist ()
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- lrs3_idexp_mean = lrs3_stats ['idexp_lm3d_mean' ].reshape ([1 ,204 ])
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- lrs3_idexp_std = lrs3_stats ['idexp_lm3d_std' ].reshape ([1 ,204 ])
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+ # lrs3_stats = np.load('data/binary/lrs3/stats.npy',allow_pickle=True).tolist()
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+ # lrs3_idexp_mean = lrs3_stats['idexp_lm3d_mean'].reshape([1,204])
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+ # lrs3_idexp_std = lrs3_stats['idexp_lm3d_std'].reshape([1,204])
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def render_idexp_npy_to_lm_video (npy_name , out_video_name , audio_name = None ):
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