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Merged
merged 4 commits into from
Jun 28, 2024
Merged

Updates to GAN script examples #1727

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1b87b4f
Updates to GAN script examples
ericspod Jun 13, 2024
5723475
Updates to GAN script examples
ericspod Jun 13, 2024
eb97939
[pre-commit.ci] auto fixes from pre-commit.com hooks
pre-commit-ci[bot] Jun 13, 2024
eaf1074
Merge branch 'main' into gan_fixes
KumoLiu Jun 28, 2024
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11 changes: 7 additions & 4 deletions modules/engines/gan_evaluation.py
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Original file line number Diff line number Diff line change
Expand Up @@ -23,18 +23,21 @@
import torch

import monai
from monai.data import png_writer
from monai.engines.utils import default_make_latent as make_latent
from monai.networks.nets import Generator
from monai.utils.misc import set_determinism
from monai.data.image_writer import PILWriter


def save_generator_fakes(run_folder, g_output_tensor):
writer_obj = PILWriter(output_dtype=np.uint8)

for i, image in enumerate(g_output_tensor):
filename = "gen-fake-%d.png" % i
filename = f"gen-fake-{i}.png"
save_path = os.path.join(run_folder, filename)
img_array = image[0].cpu().data.numpy()
png_writer.write_png(img_array, save_path, scale=255)
img_array = monai.transforms.utils.rescale_array(image[0].cpu().data.numpy())
writer_obj.set_data_array(img_array, channel_dim=None)
writer_obj.write(save_path, format="PNG")


def main():
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13 changes: 9 additions & 4 deletions modules/engines/gan_training.py
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Original file line number Diff line number Diff line change
Expand Up @@ -29,7 +29,7 @@
import numpy as np
import monai
from monai.apps.utils import download_and_extract
from monai.data import CacheDataset, DataLoader, png_writer
from monai.data import CacheDataset, DataLoader
from monai.engines import GanTrainer
from monai.engines.utils import GanKeys as Keys
from monai.engines.utils import default_make_latent as make_latent
Expand All @@ -47,6 +47,7 @@
EnsureTypeD,
)
from monai.utils.misc import set_determinism
from monai.data.image_writer import PILWriter


def main():
Expand Down Expand Up @@ -193,11 +194,15 @@ def generator_loss(gen_images):
test_img_count = 10
test_latents = make_latent(test_img_count, latent_size).to(device)
fakes = gen_net(test_latents)

writer_obj = PILWriter(output_dtype=np.uint8)

for i, image in enumerate(fakes):
filename = "gen-fake-final-%d.png" % i
filename = f"gen-fake-final-{i}.png"
save_path = os.path.join(run_dir, filename)
img_array = image[0].cpu().data.numpy()
png_writer.write_png(img_array, save_path, scale=255)
img_array = monai.transforms.utils.rescale_array(image[0].cpu().data.numpy())
writer_obj.set_data_array(img_array, channel_dim=None)
writer_obj.write(save_path, format="PNG")


if __name__ == "__main__":
Expand Down
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