※ 引述《shamen (watin)》之銘言： : 標題: [問題] 關於python+opencv的錯誤訊息 : 時間: Wed Mar 30 15:43:17 2011 : : 目前在linux 上使用python+opencv 遇到了一個錯誤 : 想請各位幫我看一下,該從哪邊下手解決？ : : --------------------錯誤訊息------------------------------------ : : Traceback (most recent call last): : File "PythonOpencvFacedetect.py", line 87, in <module> : if input_name.isdigit(): : AttributeError: 'int' object has no attribute 'isdigit' : : ---------------------------------------------------------------- : : 麻煩各位了,謝謝！！ : : -- :

※ 發信站: 批踢踢實業坊(ptt.cc) : ◆ From: 163.26.229.128 : 推 AlanSung:input_name 應該是 str (才有 isdigit()), 你的是 int 03/30 16:02 : 推 hilorrk:讓我猜 你應該是用python3.X? openCV是用2.6/2.7 03/30 16:03 : → hilorrk:因為input()改變了 3.X變string 2.7的是eval(raw_input()) 03/30 16:05 : → hilorrk:不對 這樣應該是反過來才對 猜錯了XD 03/30 16:08 我直接po我的python，各位看一下 --------------------------------------------------------- import sys sys.path.append("/home/pc128/opencv/lib/site-packages") from opencv.cv import * from opencv.highgui import * # Global Variables cascade = None storage = cvCreateMemStorage(0) cascade_name = "/home/pc128/opencv/opencv/OpenCV-2.0.0/data/haarcascades/haarcascade_frontalface_alt.xml" input_name = 0 # Parameters for haar detection # From the API: # The default parameters (scale_factor=1.1, min_neighbors=3, flags=0) are tuned # for accurate yet slow object detection. For a faster operation on real video # images the settings are: # scale_factor=1.2, min_neighbors=2, flags=CV_HAAR_DO_CANNY_PRUNING, # min_size=<minimum possible face size min_size = cvSize(20,20) image_scale = 1.3 haar_scale = 1.2 min_neighbors = 2 haar_flags = 0 def detect_and_draw( img ): # allocate temporary images gray = cvCreateImage( cvSize(img.width,img.height), 8, 1 ) small_img = cvCreateImage((cvRound(img.width/image_scale), cvRound (img.height/image_scale)), 8, 1 ) # convert color input image to grayscale cvCvtColor( img, gray, CV_BGR2GRAY ) # scale input image for faster processing cvResize( gray, small_img, CV_INTER_LINEAR ) cvEqualizeHist( small_img, small_img ) cvClearMemStorage( storage ) if( cascade ): t = cvGetTickCount() faces = cvHaarDetectObjects( small_img, cascade,storage,haar_scale, min_neighbors, haar_flags, min_size) t = int(cvGetTickCount())-int(t) print "detection time = %gms" % (float(t)/(cvGetTickFrequency()*1000.)) if faces: for face_rect in faces: # the input to cvHaarDetectObjects was resized, so scale the # bounding box of each face and convert it to two CvPoints pt1 = cvPoint( int(face_rect.x*image_scale), int(face_rect.y*image_scale)) pt2 = cvPoint( int((face_rect.x+face_rect.width)*image_scale), int((face_rect.y+face_rect.height)*image_scale) ) cvRectangle( img, pt1, pt2, CV_RGB(255,0,0), 3, 8, 0 ) cvShowImage( "result", img ) if __name__ == '__main__': if len(sys.argv) > 1: if sys.argv[1].startswith("--cascade="): cascade_name = sys.argv[1][ len("--cascade="): ] if len(sys.argv) > 2: input_name = sys.argv[2] elif sys.argv[1] == "--help" or sys.argv[1] == "-h": print "Usage: facedetect --cascade=\"<cascade_path>\"filename|camera_index]\n" sys.exit(-1) else: input_name = sys.argv[1] # the OpenCV API says this function is obsolete, but we can't # cast the output of cvLoad to a HaarClassifierCascade, so use this anyways # the size parameter is ignored cascade = cvLoadHaarClassifierCascade( cascade_name, cvSize(1,1) ) if not cascade: print "ERROR: Could not load classifier cascade" sys.exit(-1) if input_name.isdigit(): ←←← 錯誤的地方 capture = cvCreateCameraCapture( int(input_name) ) else: capture = cvCreateFileCapture( input_name ) cvNamedWindow( "result", 1 ) if capture: frame_copy = None while True: frame = cvQueryFrame( capture ) if not frame: cvWaitKey(0) break if not frame_copy: frame_copy = cvCreateImage( cvSize(frame.width,frame.height), IPL_DEPTH_8U, frame.nChannels ) if frame.origin == IPL_ORIGIN_TL: cvCopy( frame, frame_copy ) else: cvFlip( frame, frame_copy, 0 ) detect_and_draw( frame_copy ) if( cvWaitKey( 10 ) >= 0 ): break else: image = cvLoadImage( input_name, 1 ) if image: detect_and_draw( image ) cvWaitKey(0) cvDestroyWindow("result") ----------------------------------------------------------------------------- --

※ 發信站: 批踢踢實業坊(ptt.cc) ◆ From: 163.26.229.155 ※ 編輯: shamen 來自: 163.26.229.155 (03/30 20:57)