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gather_images.py
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37 lines (30 loc) · 1.34 KB
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# Copyright (c) 2025 ByteDance Ltd. and/or its affiliates
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http:#www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import argparse
from glob import glob
import numpy as np
from PIL import Image
parser = argparse.ArgumentParser()
parser.add_argument("--save_folder", type=str, default="vae_f16d64_w_nf_16gpus_simflow_large_std0_5_adaln_2222246_ln_resume")
parser.add_argument("--output_name", type=str, default="vae_f16d64_w_nf_16gpus_simflow_large_std0_5_adaln_2222246_wocfg")
args = parser.parse_args()
# Get all images under the folder
save_folder = f"output/{args.save_folder}/sampled_images_ema_evaluate/*.*"
image_files = glob(save_folder)
print(len(image_files))
all_images = [np.array(Image.open(file)) for file in image_files]
# Save the images as numpy
all_images = np.array(all_images)
print(all_images.shape)
np.savez(f"./output/{args.output_name}.npz", all_images)