delete some notes and add copyright

ppdiffusers/scripts/ssim_psnr_score/README.md

@@ -1,4 +1,4 @@
-# SSIM and PSNR for PaddlePaddle
+# SSIM and PSNR 
 
 SSIM（Structural Similarity Index）是一种用于衡量两幅图像结构相似度的指标，常用于图像质量评价任务。与像素级别的误差不同，SSIM 模拟人类视觉系统从亮度、对比度和结构等多个维度来评估图像之间的差异。其取值范围为 [-1, 1]，其中 1 表示两张图像完全相同，值越高说明图像质量越接近参考图像。
 
@@ -34,4 +34,4 @@ python evaluation.py --dataset1 path/to/dataset1 --dataset2 path/to/dataset2
 
 
 ## 参考
-- [https://github.com/tianweiy/DMD2](https://github.com/tianweiy/DMD2)
+- [https://github.com/ali-vilab/TeaCache](https://github.com/ali-vilab/TeaCache)

ppdiffusers/scripts/ssim_psnr_score/calculate_psnr.py

@@ -1,13 +1,24 @@
+# Copyright (c) 2024 PaddlePaddle Authors. All Rights Reserved.
+#
+# 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 math
 
 import numpy as np
 import paddle
 
 
 def img_psnr(img1, img2):
-    # [0,1]
-    # compute mse
-    # mse = np.mean((img1-img2)**2)
     mse = np.mean((img1 / 1.0 - img2 / 1.0) ** 2)
     # compute psnr
     if mse < 1e-10:
@@ -16,18 +27,13 @@ def img_psnr(img1, img2):
     return psnr
 
 
-def trans(x):
-    return x
 
 
 def calculate_psnr(videos1, videos2):
     # videos [batch_size, timestamps, channel, h, w]
 
     assert videos1.shape == videos2.shape
 
-    videos1 = trans(videos1)
-    videos2 = trans(videos2)
-
     psnr_results = []
 
     for video_num in range(videos1.shape[0]):
@@ -69,9 +75,6 @@ def calculate_psnr(videos1, videos2):
     return result
 
 
-# test code / using example
-
-
 def main():
     NUMBER_OF_VIDEOS = 8
     VIDEO_LENGTH = 50

ppdiffusers/scripts/ssim_psnr_score/calculate_ssim.py

@@ -1,3 +1,17 @@
+# Copyright (c) 2024 PaddlePaddle Authors. All Rights Reserved.
+#
+# 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 cv2
 import numpy as np
 import paddle
@@ -93,10 +107,6 @@ def calculate_ssim(videos1, videos2):
 
     return result
 
-
-# test code / using example
-
-
 def main():
     NUMBER_OF_VIDEOS = 8
     VIDEO_LENGTH = 50

ppdiffusers/scripts/ssim_psnr_score/evaluation.py

@@ -1,3 +1,17 @@
+# Copyright (c) 2024 PaddlePaddle Authors. All Rights Reserved.
+#
+# 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 os
 import argparse
 import paddle