因為某些原因，需要讀取d.lib后綴的文件，在此寫下記錄
os.listdir()
語法：os.listdir(path)
函數(shù)用途：輸出路徑下所有文件的文件名
實驗代碼：
假如我們需要讀取該文件夾所包含全部文件名
import os path = "E:/vs_code/qtVideo/lib" datanames = os.listdir(path) for i in datanames: print(i)
輸出：
A_TEST OpenCVConfig-version.cmake OpenCVConfig.cmake OpenCVModules-debug.cmake OpenCVModules-release.cmake OpenCVModules.cmake opencv_aruco330.lib opencv_aruco330d.lib opencv_bgsegm330.lib opencv_bgsegm330d.lib opencv_bioinspired330.lib opencv_bioinspired330d.lib opencv_calib3d330.lib opencv_calib3d330d.lib opencv_ccalib330.lib opencv_ccalib330d.lib opencv_core330.lib opencv_core330d.lib opencv_datasets330.lib opencv_datasets330d.lib opencv_dnn330.lib opencv_dnn330d.lib opencv_dpm330.lib opencv_dpm330d.lib opencv_face330.lib opencv_face330d.lib opencv_features2d330.lib opencv_features2d330d.lib opencv_flann330.lib opencv_flann330d.lib opencv_fuzzy330.lib opencv_fuzzy330d.lib opencv_highgui330.lib opencv_highgui330d.lib opencv_imgcodecs330.lib opencv_imgcodecs330d.lib opencv_imgproc330.lib opencv_imgproc330d.lib opencv_img_hash330.lib opencv_img_hash330d.lib opencv_line_descriptor330.lib opencv_line_descriptor330d.lib opencv_ml330.lib opencv_ml330d.lib opencv_objdetect330.lib opencv_objdetect330d.lib opencv_optflow330.lib opencv_optflow330d.lib opencv_phase_unwrapping330.lib opencv_phase_unwrapping330d.lib opencv_photo330.lib opencv_photo330d.lib opencv_plot330.lib opencv_plot330d.lib opencv_reg330.lib opencv_reg330d.lib opencv_rgbd330.lib opencv_rgbd330d.lib opencv_saliency330.lib opencv_saliency330d.lib opencv_shape330.lib opencv_shape330d.lib opencv_stereo330.lib opencv_stereo330d.lib opencv_stitching330.lib opencv_stitching330d.lib opencv_structured_light330.lib opencv_structured_light330d.lib opencv_superres330.lib opencv_superres330d.lib opencv_surface_matching330.lib opencv_surface_matching330d.lib opencv_text330.lib opencv_text330d.lib opencv_tracking330.lib opencv_tracking330d.lib opencv_video330.lib opencv_video330d.lib opencv_videoio330.lib opencv_videoio330d.lib opencv_videostab330.lib opencv_videostab330d.lib opencv_xfeatures2d330.lib opencv_xfeatures2d330d.lib opencv_ximgproc330.lib opencv_ximgproc330d.lib opencv_xobjdetect330.lib opencv_xobjdetect330d.lib opencv_xphoto330.lib opencv_xphoto330d.lib
結(jié)果分析：
os.listdir 以列表的形式返回指定文件夾的下所有內(nèi)容，不管是文件還是文件夾
os.path.splitext()
語法：os.path.splitext(文件名)
函數(shù)用途：將文件名和擴展名分開。
實驗代碼：
name1 = "opencv_xphoto330d.lib"
name2 = "D:\\opencv_xphoto330d.lib"
result1 = os.path.splitext(name1)
result2 = os.path.splitext(name2)
print("result1:",result1)
print("result2:",result2)
print("type:",type(result1),type(result2))
輸出：
result1: ('opencv_xphoto330d', '.lib')
result2: ('D:\\opencv_xphoto330d', '.lib')
type: <class 'tuple'> <class 'tuple'>
結(jié)果分析：
就是以文件名中的'.'作為分隔符，分隔文件名稱與文件后綴，以元組的形式返回文件名與后綴。
os.path.split()
語法：os.path.split(path)
函數(shù)用途：返回文件的路徑和文件名。
實驗代碼：
name1 = "opencv_xphoto330d.lib"
name2 = "E:\\vs_code\\qtVideo\\opencv_xphoto330d.lib"
name3 = "E:\\vs_code\\qtVideo"
result1 = os.path.split(name1)
result2 = os.path.split(name2)
result3 = os.path.split(name3)
print("result1:",result1)
print("result2:",result2)
print("result3:",result3)
print("type:",type(result1),type(result2),type(result3))
輸出：
result1: ('', 'opencv_xphoto330d.lib')
result2: ('E:\\vs_code\\qtVideo', 'opencv_xphoto330d.lib')
result3: ('E:\\vs_code', 'qtVideo')
type: <class 'tuple'> <class 'tuple'>
結(jié)果分析：
就是以路徑最后一個'/'或者'\\'為分隔，以元祖的形式返回路徑與文件名，若只有文件名，則輸出文件名與空。
案例分析
指定文件夾下包含.lib、d.lib、其他文件夾，需要獲得文件夾中所有d.lib后綴的文件名
思路：
通過listdir()獲得該文件夾下所有文件名，使用splitext()分離文件名和后綴，判斷文件名最后一個是否為d,后綴是否為lib
代碼實驗：
import os
path = "E:/vs_code/qtVideo/lib"
datanames = os.listdir(path)
for i in datanames:
if os.path.splitext(i)[1]=='.lib' and os.path.splitext(i)[0][-1]=='d':
print(i)
輸出：
opencv_aruco330d.lib opencv_bgsegm330d.lib opencv_bioinspired330d.lib opencv_calib3d330d.lib opencv_ccalib330d.lib opencv_core330d.lib opencv_datasets330d.lib opencv_dnn330d.lib opencv_dpm330d.lib opencv_face330d.lib opencv_features2d330d.lib opencv_flann330d.lib opencv_fuzzy330d.lib opencv_highgui330d.lib opencv_imgcodecs330d.lib opencv_imgproc330d.lib opencv_img_hash330d.lib opencv_line_descriptor330d.lib opencv_ml330d.lib opencv_objdetect330d.lib opencv_optflow330d.lib opencv_phase_unwrapping330d.lib opencv_photo330d.lib opencv_plot330d.lib opencv_reg330d.lib opencv_rgbd330d.lib opencv_saliency330d.lib opencv_shape330d.lib opencv_stereo330d.lib opencv_stitching330d.lib opencv_structured_light330d.lib opencv_superres330d.lib opencv_surface_matching330d.lib opencv_text330d.lib opencv_tracking330d.lib opencv_video330d.lib opencv_videoio330d.lib opencv_videostab330d.lib opencv_xfeatures2d330d.lib opencv_ximgproc330d.lib opencv_xobjdetect330d.lib opencv_xphoto330d.lib
可以看到我們把文件中的d.lib的文件都已經(jīng)篩選出來了
總結(jié)
本篇文章就到這里了，希望能夠給你帶來幫助，也希望您能夠多多關(guān)注服務器之家的更多內(nèi)容!
原文鏈接：https://blog.csdn.net/nienelong3319/article/details/107048970/
