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Fix two scripts

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This commit is contained in:
James Betker 2021-10-30 17:00:06 -06:00
parent df45a9dec2
commit 36ed28913a
2 changed files with 5 additions and 6 deletions
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2
codes/scripts/classify_into_folders.py
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@ -71,7 +71,7 @@ if __name__ == "__main__":
for k, lbl in enumerate(lbls): for k, lbl in enumerate(lbls):
lbl = labels[torch.argmax(lbl, dim=0)] lbl = labels[torch.argmax(lbl, dim=0)]
src_path = data[path_key][k] src_path = data[path_key][k]
output_file.write(f'{src_path}\t{lbl}') output_file.write(f'{src_path}\t{lbl}\n')
if output_base_dir is not None: if output_base_dir is not None:
dest = os.path.join(output_base_dir, lbl) dest = os.path.join(output_base_dir, lbl)
os.makedirs(dest, exist_ok=True) os.makedirs(dest, exist_ok=True)

9
codes/scripts/diffusion/diffusion_noise_surfer.py
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@ -14,6 +14,7 @@ from torchvision.transforms import ToTensor
import utils import utils
import utils.options as option import utils.options as option
import utils.util as util import utils.util as util
from data.audio.unsupervised_audio_dataset import load_audio
from models.tacotron2.taco_utils import load_wav_to_torch from models.tacotron2.taco_utils import load_wav_to_torch
from trainer.ExtensibleTrainer import ExtensibleTrainer from trainer.ExtensibleTrainer import ExtensibleTrainer
from data import create_dataset, create_dataloader from data import create_dataset, create_dataloader
@ -48,10 +49,8 @@ def forward_pass(model, data, output_dir, spacing, audio_mode):
def load_image(path, audio_mode): def load_image(path, audio_mode):
# Load test image # Load test image
if audio_mode: if audio_mode:
im, sr = load_wav_to_torch(path) im = load_audio(path, 22050)
assert sr == 22050 im = im[:, :(im.shape[1]//4096)*4096].unsqueeze(0)
im = im.unsqueeze(0)
im = im[:, :(im.shape[1]//4096)*4096]
else: else:
im = ToTensor()(Image.open(path)) * 2 - 1 im = ToTensor()(Image.open(path)) * 2 - 1
_, h, w = im.shape _, h, w = im.shape
@ -113,7 +112,7 @@ if __name__ == "__main__":
if audio_mode: if audio_mode:
data = { data = {
'clip': im.to('cuda'), 'clip': im.to('cuda'),
'alt_clips': refs.to('cuda'), 'alt_clips': torch.zeros_like(refs[:,0].to('cuda')),
'num_alt_clips': torch.tensor([refs.shape[1]], dtype=torch.int32, device='cuda'), 'num_alt_clips': torch.tensor([refs.shape[1]], dtype=torch.int32, device='cuda'),
'GT_path': opt['image'] 'GT_path': opt['image']
} }