基於Opencv和Grip視覺機器[TypeError：src不是一個numpy陣列，也不是一個標量]

我是opencv的新手，想要了解更多信息。這裏是我的管道：基於Opencv和Grip視覺機器[TypeError：src不是一個numpy陣列，也不是一個標量]

import cv2 
import numpy 
import math 
from enum import Enum 

class GripPipeline: 
    """ 
    An OpenCV pipeline generated by GRIP. 
    """ 

    def __init__(self): 
     """initializes all values to presets or None if need to be set 
     """ 

     self.__cv_resize_dsize = (0, 0) 
     self.__cv_resize_fx = 0.25 
     self.__cv_resize_fy = 0.25 
     self.__cv_resize_interpolation = cv2.INTER_LINEAR 

     self.cv_resize_output = None 

     self.__hsv_threshold_input = self.cv_resize_output 
     self.__hsv_threshold_hue = [0.4556876738819602, 93.45444422147858] 
     self.__hsv_threshold_saturation = [37.56692583788217, 145.8721694981769] 
     self.__hsv_threshold_value = [1.7210414835158088, 187.92607745473873] 

     self.hsv_threshold_output = None 

     self.__cv_erode_src = self.hsv_threshold_output 
     self.__cv_erode_kernel = None 
     self.__cv_erode_anchor = (-1, -1) 
     self.__cv_erode_iterations = 1.0 
     self.__cv_erode_bordertype = cv2.BORDER_CONSTANT 
     self.__cv_erode_bordervalue = (-1) 

     self.cv_erode_output = None 

     self.__mask_input = self.cv_resize_output 
     self.__mask_mask = self.cv_erode_output 

     self.mask_output = None 

     self.__find_blobs_input = self.mask_output 
     self.__find_blobs_min_area = 16.0 
     self.__find_blobs_circularity = [0.0, 1.0] 
     self.__find_blobs_dark_blobs = False 

     self.find_blobs_output = None 


    def process(self, source0): 
     """ 
     Runs the pipeline and sets all outputs to new values. 
     """ 
     # Step CV_resize0: 
     self.__cv_resize_src = source0 
     (self.cv_resize_output) = self.__cv_resize(self.__cv_resize_src, self.__cv_resize_dsize, self.__cv_resize_fx, self.__cv_resize_fy, self.__cv_resize_interpolation) 

     # Step HSV_Threshold0: 
     /code/ 
     # Step CV_erode0: 
     /code/ 
     # Step Mask0: 
     /code/ 
     # Step Find_Blobs0: 
     /code/ 

    @staticmethod 
    def __cv_resize(src, d_size, fx, fy, interpolation): 
     """Resizes an Image. 
     Args: 
      src: A numpy.ndarray. 
      d_size: Size to set the image. 
      fx: The scale factor for the x. 
      fy: The scale factor for the y. 
      interpolation: Opencv enum for the type of interpolation. 
     Returns: 
      A resized numpy.ndarray. 
     """ 
     return cv2.resize(src, d_size, fx=fx, fy=fy, interpolation=interpolation)

有大量的「高清」那裏我的創建對象使用我的筆記本電腦攝像頭我相信這是不是相機的問題，因爲我試圖從中捕捉IMG我成功了。：

My_Pipeline = GripPipeline() 
    My_Pipeline.process(cv2.VideoCapture(0))

它引發的錯誤：

 Traceback (most recent call last): 
    File "<pyshell#1>", line 1, in <module> 
    My_Pipeline.process(cv2.VideoCapture(0)) 
    File "C:\Users\lenovo\Desktop\grip.py", line 57, in process 
    (self.cv_resize_output) = self.__cv_resize(self.__cv_resize_src, 
    self.__cv_resize_dsize, self.__cv_resize_fx, self.__cv_resize_fy, 
    self.__cv_resize_interpolation) 
    File "C:\Users\lenovo\Desktop\grip.py", line 89, in __cv_resize 
    return cv2.resize(src, d_size, fx=fx, fy=fy, 
    interpolation=interpolation) 
    TypeError: src is not a numpy array, neither a scalar

我是新來opencv的，只是想了解更多信息！很高興看到這個問題！

來源

2017-10-12 Billvace

您正在致電My_Pipeline.process()與cv2.VideoCapture(0)。與你的假設相反，cv2.VideoCapture(0)返回VideoCapture對象，稍後在腳本中將此參數傳遞給cv2.resize()。所以目前cv2.resize()正在接收VideoCapture對象。您可以使用cap.read()從VideoCapture獲取框架或numpy矩陣，該矩陣將返回(success_code, frame)的元組，並且您需要將此frame轉換爲cv2.resize()。

所以你的類初始化例程可能看起來像;

My_Pipeline = GripPipeline() 
cap = cv2.VideoCapture(0) 
ret, frame = cap.read() 
if cap.isOpened() and ret: 
    My_Pipeline.process(frame)

有關詳細說明，請參閱OpenCV docs

來源

2017-10-12 05:01:55 ZdaR

很多的感謝，並沒有意識到對象的問題！大聲笑 – Billvace

和通知，cv2.read應cap.read（） – Billvace

@Billvace更正我的壞 – ZdaR

基於Opencv和Grip視覺機器[TypeError：src不是一個numpy陣列，也不是一個標量]

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