tidy codes

README.md

@@ -185,28 +185,29 @@ hide_as_music.file_decode(filename='化物为音-解出来的文件.zip', wav_fi
 回声水印技术对于音质的影响相对较小，同时具有较好的鲁棒性，能够在一定程度上抵抗压缩、转换等处理过程。这使得它适用于版权保护、内容认证、隐秘通讯等领域。
 
 ```python
-from hide_info.echo_watermark import EchoWatermark, get_error_rate
-from hide_info import utils
+from hide_info.echo_watermark import EchoWatermark
+from hide_info import utils, evaluate
+from scipy.io import wavfile
 
-ori_file = "sounds.wav"  # 载体
-embedded_file = "sounds_with_watermark.wav"  # 嵌入水印后的文件名
+ori_file = "./ori_file/sounds.wav"  # 载体
+embedded_file = "./output/sounds_with_watermark.wav"  # 嵌入水印后的文件名
 wm_str = "回声水印算法，欢迎 star!"  # 水印
 
 wm_bits = utils.bytes2bin(wm_str.encode('utf-8'))
 len_wm_bits = len(wm_bits)
 
-# 嵌入水印
+# embed:
 echo_wm = EchoWatermark(pwd=111001)
 echo_wm.embed(origin_filename=ori_file, wm_bits=wm_bits, embed_filename=embedded_file)
 
-# 提取水印
+# extract：
 echo_wm = EchoWatermark(pwd=111001)
 wm_extract = echo_wm.extract(embed_filename=embedded_file, len_wm_bits=len_wm_bits)
 
 wm_str_extract = utils.bin2bytes(wm_extract).decode('utf-8', errors='replace')
-print("解出水印：", wm_str_extract)
-# 错误率：
-get_error_rate(wm_extract, wm_bits)
+print("extract watermark: ", wm_str_extract)
+# error rate：
+evaluate.get_error_rate(wm_extract, wm_bits)
 ```
 
 

example/example_echo_watermark.py

@@ -1,10 +1,9 @@
-import numpy as np
 from hide_info.echo_watermark import EchoWatermark
 from hide_info import utils, evaluate
 from scipy.io import wavfile
 
-ori_file = "sounds.wav"  # 载体
-embedded_file = "sounds_with_watermark.wav"  # 嵌入水印后的文件名
+ori_file = "./ori_file/sounds.wav"  # 载体
+embedded_file = "./output/sounds_with_watermark.wav"  # 嵌入水印后的文件名
 wm_str = "回声水印算法，欢迎 star!"  # 水印
 
 wm_bits = utils.bytes2bin(wm_str.encode('utf-8'))
@@ -19,11 +18,13 @@
 wm_extract = echo_wm.extract(embed_filename=embedded_file, len_wm_bits=len_wm_bits)
 
 wm_str_extract = utils.bin2bytes(wm_extract).decode('utf-8', errors='replace')
-print("解出水印：", wm_str_extract)
-# 错误率：
+print("extract watermark: ", wm_str_extract)
+# error rate：
 evaluate.get_error_rate(wm_extract, wm_bits)
 
 # %% There are 3 algorithms：
+import numpy as np
+
 wm_bits = np.random.randint(2, size=200).tolist()
 len_wm_bits = len(wm_bits)
 

example/example_hide_in_music.py

@@ -2,20 +2,20 @@
 
 text = "待嵌入到音乐文件的文本，下面的代码中，会把这段文本以二进制形式隐藏到一个音乐文件中"
 
-hide_in_music.encode(text.encode('utf-8'), music_filename="sounds.wav", music_filename_new="藏文于音.wav")
+hide_in_music.encode(text.encode('utf-8'), music_filename="./ori_file/sounds.wav", music_filename_new="./output/藏文于音.wav")
 
-text_encode = hide_in_music.decode(music_filename="藏文于音.wav")
+text_encode = hide_in_music.decode(music_filename="./output/藏文于音.wav")
 
 print(text_encode.decode('utf-8'))
 
 # %%
 # 把文件隐藏到某个音乐中
-hide_in_music.file_encode(filename='要隐藏的文件.zip', music_filename="sounds.wav", music_filename_new="藏物于音.wav")
+hide_in_music.file_encode(filename='要隐藏的文件.zip', music_filename="./ori_file/sounds.wav", music_filename_new="./output/藏物于音.wav")
 # 从音乐中提取文件
-hide_in_music.file_decode(filename="藏物于音-解出的文件.zip", music_filename="藏物于音.wav")
+hide_in_music.file_decode(filename="./output/藏物于音-解出的文件.zip", music_filename="./output/藏物于音.wav")
 
 # %% 要隐藏的文件和解出的文件一模一样
 import hashlib
 
-with open('要隐藏的文件.zip', 'rb') as f1, open("藏物于音-解出的文件.zip", 'rb') as f2:
+with open('要隐藏的文件.zip', 'rb') as f1, open("./output/藏物于音-解出的文件.zip", 'rb') as f2:
     assert hashlib.md5(f1.read()).hexdigest() == hashlib.md5(f2.read()).hexdigest()