python - TypeError: array is not a numpy array, neither a scalar -


i'm trying run script error

"typeerror: array not numpy array, neither scalar" on line 60

 moment = cv.moments(points)

i didn't make script, here

https://github.com/openalpr/train-detector/blob/master/crop_plates.py

and modified bit in order work

  • changed "import cv" "import cv2 cv" since couldn't make work (ref: no module named cv)
  • changed line 60 "moment = cv.moments(points)" "moment = cv.moments(points)" (the capital m)

the script:

#!/usr/bin/python  import os import sys import json import math import cv2 import cv2 cv import numpy np import copy import yaml argparse import argumentparser   parser = argumentparser(description='openalpr license plate cropper')  parser.add_argument( "--input_dir", dest="input_dir", action="store", type=str, required=true,                    help="directory containing plate images , yaml metadata" )  parser.add_argument( "--out_dir", dest="out_dir", action="store", type=str, required=true,                    help="directory output cropped plates" )  parser.add_argument( "--zoom_out_percent", dest="zoom_out_percent", action="store", type=float, default=1.25,                    help="percent multiplier zoom out before cropping" )  parser.add_argument( "--plate_width", dest="plate_width", action="store", type=float, required=true,                    help="desired aspect ratio width" ) parser.add_argument( "--plate_height", dest="plate_height", action="store", type=float, required=true,                    help="desired aspect ratio height" )  options = parser.parse_args()   if not os.path.isdir(options.input_dir):     print "input_dir (%s) doesn't exist"     sys.exit(1)   if not os.path.isdir(options.out_dir):     os.makedirs(options.out_dir)    def get_box(x1, y1, x2, y2, x3, y3, x4, y4):     height1 = int(round(math.sqrt((x1-x4)*(x1-x4) + (y1-y4)*(y1-y4))))     height2 = int(round(math.sqrt((x3-x2)*(x3-x2) + (y3-y2)*(y3-y2))))      height = height1     if height2 > height:         height = height2      # add 25% height     height *= options.zoom_out_percent     #height += (height * .05)      #print "height: %d - %d" % (height1, height2)       points = [(x1,y1), (x2,y2), (x3,y3), (x4,y4)]     moment = cv.moments(points)     centerx = int(round(moment.m10/moment.m00))     centery = int(round(moment.m01/moment.m00))       training_aspect = options.plate_width / options.plate_height     width = int(round(training_aspect * height))      # top_left = ( int(centerx - (width / 2)), int(centery - (height / 2)))     # bottom_right = ( int(centerx + (width / 2)), int(centery + (height / 2)))      top_left_x = int(round(centerx - (width / 2)))     top_left_y = int(round(centery - (height / 2)))      return (top_left_x, top_left_y, width, int(round(height)))  def crop_rect(big_image, x,y,width,height):     # crops rectangle big image , returns cropped image     # special care taken avoid cropping beyond edge of image.     # fills area in random pixels      (big_height, big_width, channels) = big_image.shape     if x >= 0 , y >= 0 , (y+height) < big_height , (x+width) < big_width:         crop_img = img[y:y+height, x:x+width]     else:         #print "performing partial crop"         #print "x: %d  y: %d  width: %d  height: %d" % (x,y,width,height)         #print "big_width: %d  big_height: %d" % (big_width, big_height)         crop_img = np.zeros((height, width, 3), np.uint8)         cv2.randu(crop_img, (0,0,0), (255,255,255))          offset_x = 0         offset_y = 0         if x < 0:             offset_x = -1 * x             x = 0             width -= offset_x         if y < 0:             offset_y = -1 * y             y = 0             height -= offset_y         if (x+width) >= big_width:             offset_x = 0             width = big_width - x         if (y+height) >= big_height:             offset_y = 0             height = big_height - y          #print "offset_x: %d  offset_y: %d, width: %d, height: %d" % (offset_x, offset_y, width, height)          original_crop =  img[y:y+height-1, x:x+width-1]         (small_image_height, small_image_width, channels) = original_crop.shape         #print "small shape: %dx%d" % (small_image_width, small_image_height)         # draw small image onto large image         crop_img[offset_y:offset_y+small_image_height, offset_x:offset_x+small_image_width] = original_crop       #cv2.imshow("test", crop_img)     return crop_img  count = 1 yaml_files = [] in_file in os.listdir(options.input_dir):     if in_file.endswith('.yaml') or in_file.endswith('.yml'):         yaml_files.append(in_file)   yaml_files.sort()  yaml_file in yaml_files:       print "processing: " + yaml_file + " (" + str(count) + "/" + str(len(yaml_files)) + ")"     count += 1       yaml_path = os.path.join(options.input_dir, yaml_file)     yaml_without_ext = os.path.splitext(yaml_path)[0]     open(yaml_path, 'r') yf:         yaml_obj = yaml.load(yf)      image = yaml_obj['image_file']      # skip missing images     full_image_path = os.path.join(options.input_dir, image)     if not os.path.isfile(full_image_path):         print "could not find image file %s, skipping" % (full_image_path)         continue       plate_corners = yaml_obj['plate_corners_gt']     cc = plate_corners.strip().split()     in range(0, len(cc)):         cc[i] = int(cc[i])      box = get_box(cc[0], cc[1], cc[2], cc[3], cc[4], cc[5], cc[6], cc[7])       img = cv2.imread(full_image_path)     crop = crop_rect(img, box[0], box[1], box[2], box[3])      # cv2.imshow("test", crop)     # cv2.waitkey(0)      out_crop_path = os.path.join(options.out_dir, yaml_without_ext + ".jpg")     cv2.imwrite(out_crop_path, crop )  print "%d cropped images located in %s" % (count-1, options.out_dir)

i don't have knowledge of python. either find way solve error or find out how install module cv.

os windows 7, python 2.7 thanks,

  1. try printing contents of "points" before calculating moments.
  2. if there nothing wrong "points", try cv.moments(np.int32(points))

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