基于python的图像加噪去噪系统
所属分类：系统编程
开发工具：Python
文件大小：81534KB
下载次数：0
上传日期：2022-05-12 13:32:00
上 传 者：
124555588
说明： 基于python的图像加噪去噪系统。里面寂静包含了各种模块，可以直接运行。
文件列表:
python图像加噪\.idea\inspectionProfiles\profiles_settings.xml (174, 2022-05-04)
python图像加噪\.idea\misc.xml (209, 2022-05-04)
python图像加噪\.idea\modules.xml (295, 2022-05-04)
python图像加噪\.idea\python图像加噪.iml (361, 2022-05-04)
python图像加噪\.idea\workspace.xml (3011, 2022-05-05)
python图像加噪\00.jpg (91542, 2022-05-05)
python图像加噪\binary1.jpg (99633, 2022-05-05)
python图像加噪\binary2.jpg (132392, 2022-05-05)
python图像加噪\bw.py (221, 2022-05-05)
python图像加噪\demo.png (173851, 2022-05-05)
python图像加噪\gaosi.jpg (114307, 2022-05-05)
python图像加噪\huidu.jpg (28367, 2022-05-05)
python图像加噪\jiaoyan.jpg (95932, 2022-05-05)
python图像加噪\lvbo1.jpg (45564, 2022-05-05)
python图像加噪\lvbo2.jpg (54483, 2022-05-05)
python图像加噪\lvbo3.jpg (57106, 2022-05-05)
python图像加噪\main.py (931, 2022-05-05)
python图像加噪\python.rar (42041269, 2022-05-05)
python图像加噪\venv\Lib\site-packages\cv2\config-3.py (748, 2022-05-04)
python图像加噪\venv\Lib\site-packages\cv2\config.py (123, 2022-05-04)
python图像加噪\venv\Lib\site-packages\cv2\cv2.pyd (69897216, 2022-05-04)
python图像加噪\venv\Lib\site-packages\cv2\data\haarcascade_eye.xml (341406, 2022-05-04)
python图像加噪\venv\Lib\site-packages\cv2\data\haarcascade_eye_tree_eyeglasses.xml (601661, 2022-05-04)
python图像加噪\venv\Lib\site-packages\cv2\data\haarcascade_frontalcatface.xml (411388, 2022-05-04)
python图像加噪\venv\Lib\site-packages\cv2\data\haarcascade_frontalcatface_extended.xml (382918, 2022-05-04)
python图像加噪\venv\Lib\site-packages\cv2\data\haarcascade_frontalface_alt.xml (676709, 2022-05-04)
python图像加噪\venv\Lib\site-packages\cv2\data\haarcascade_frontalface_alt2.xml (540616, 2022-05-04)
python图像加噪\venv\Lib\site-packages\cv2\data\haarcascade_frontalface_alt_tree.xml (2689040, 2022-05-04)
python图像加噪\venv\Lib\site-packages\cv2\data\haarcascade_frontalface_default.xml (930127, 2022-05-04)
python图像加噪\venv\Lib\site-packages\cv2\data\haarcascade_fullbody.xml (476827, 2022-05-04)
python图像加噪\venv\Lib\site-packages\cv2\data\haarcascade_lefteye_2splits.xml (195369, 2022-05-04)
python图像加噪\venv\Lib\site-packages\cv2\data\haarcascade_licence_plate_rus_16stages.xml (47775, 2022-05-04)
python图像加噪\venv\Lib\site-packages\cv2\data\haarcascade_lowerbody.xml (395322, 2022-05-04)
python图像加噪\venv\Lib\site-packages\cv2\data\haarcascade_profileface.xml (828514, 2022-05-04)
python图像加噪\venv\Lib\site-packages\cv2\data\haarcascade_righteye_2splits.xml (196170, 2022-05-04)
python图像加噪\venv\Lib\site-packages\cv2\data\haarcascade_russian_plate_number.xml (75482, 2022-05-04)
python图像加噪\venv\Lib\site-packages\cv2\data\haarcascade_smile.xml (188506, 2022-05-04)
python图像加噪\venv\Lib\site-packages\cv2\data\haarcascade_upperbody.xml (785819, 2022-05-04)
... ...
Steps to validate transcendental functions:
1) Add a file 'umath-validation-set-.txt', where ufuncname is name of
the function in NumPy you want to validate
2) The file should contain 4 columns: dtype,input,expected output,ulperror
a. dtype: one of np.float16, np.float32, np.float***
b. input: floating point input to ufunc in hex. Example: 0x414570a4
represents 12.340000152587890625
c. expected output: floating point output for the corresponding input in hex.
This should be computed using a high(er) precision library and then rounded to
same format as the input.
d. ulperror: expected maximum ulp error of the function. This
should be same across all rows of the same dtype. Otherwise, the function is
tested for the maximum ulp error among all entries of that dtype.
3) Add file umath-validation-set-.txt to the test file test_umath_accuracy.py
which will then validate your ufunc.
近期下载者：
相关文件：
收藏者：