cv2

问题 I am using and familiar with cv2 , today I was giving a try with skimage . I was trying to read an image using skimage and cv2 . It seems that they both read the image perfectly. But when I plot histograms of the image but read through different libraries ( skimage and cv2 ), the histogram shows a significant difference. Would anyone help me by explaining the difference between the histograms? My code: import cv2 import skimage.io as sk import numpy as np import matplotlib.pyplot as plt path

问题 I am SUPER new to python coding and would like some help. I was able to segment each cell outline within a biological tissue (super cool!) and now I am trying to find the centroid of each cell within a tissue using this: I am using this code: img = cv2.imread('/Users/kate/Desktop/SegmenterTest/SegmentedCells/Seg1.png') image = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) thresh = cv2.threshold(image, 60, 255, cv2.THRESH_BINARY)[1] cnts = cv2.findContours(thresh.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN

问题 My work: Scan the paper Check horizontal and vertical line Detect checkbox How to know checkbox is ticked or not At this point, I thought I could find it by using Hierarchical and Contours: Below is my work for i in range (len( contours_region)): #I already have X,Y,W,H of the checkbox through #print(i) #cv2.connectedComponentsWithStats x = contours_region[i][0][1] #when detecting checkbox x_1 = contours_region[i][2][1] y = contours_region[i][0][0] y_1 = contours_region[i][2][0] image_copy=

问题 I am trying to conduct object detection for a video by inputting the video through cap = cv2.VideoCapture("video3.mp4") and after the processing part I want to display the video with real time object detection using while True: ret, image_np = cap.read() # Expand dimensions since the model expects images to have shape: [1, None, None, 3] image_np_expanded = np.expand_dims(image_np, axis=0) # Actual detection. output_dict = run_inference_for_single_image(image_np_expanded, detection_graph) #

问题 I'm using OpenCV 4.0 and Python 3.7 to create a timelapse video. When constructing a VideoWriter object, the documentation says the Size argument should be a tuple. When I give it a tuple it rejects it. When I try to replace it with something else, it won't accept it because it says the argument isn't a tuple. When Size not a tuple: out = cv2.VideoWriter('project.avi', 1482049860, 30, height, width) SystemError: new style getargs format but argument is not a tuple When I changed Size to a

问题 I'm using OpenCV 4.0 and Python 3.7 to create a timelapse video. When constructing a VideoWriter object, the documentation says the Size argument should be a tuple. When I give it a tuple it rejects it. When I try to replace it with something else, it won't accept it because it says the argument isn't a tuple. When Size not a tuple: out = cv2.VideoWriter('project.avi', 1482049860, 30, height, width) SystemError: new style getargs format but argument is not a tuple When I changed Size to a

问题 This question already has answers here : OpenCV giving wrong color to colored images on loading (2 answers) Closed 11 days ago . I am generating thumbnails for mp4 videos using the following code: import cv2 as cv from PIL import Image vidcap = cv.VideoCapture(videoPath) vidcap.set(cv.CAP_PROP_POS_MSEC, millisecond) #Turn video frame into numpy ndarray success, image = vidcap.read() cv.imwrite('fromImage.jpg', image) #line to be replaced The thumbnail generated from a high budget,

问题 This question already has answers here : OpenCV giving wrong color to colored images on loading (2 answers) Closed 11 days ago . I am generating thumbnails for mp4 videos using the following code: import cv2 as cv from PIL import Image vidcap = cv.VideoCapture(videoPath) vidcap.set(cv.CAP_PROP_POS_MSEC, millisecond) #Turn video frame into numpy ndarray success, image = vidcap.read() cv.imwrite('fromImage.jpg', image) #line to be replaced The thumbnail generated from a high budget,

问题 I want to crop to an object in my image, so that only the colored object remains. How can I do it in python in the most efficient way? Basically the image has black (0,0,0) background but different colors for an object. I want to crop to the object in order to drop the useless background. I know cv2 has the resize() function but they cannot detect whether it is the background or not. I can also loop the whole image to find the position but that is too slow. 回答1: Finally I have find an API to

问题 I was wondering if it is possible to 'stream' data using the OpenCV VideoWriter class in Python? Normally for handling data in memory that would otherwise go to disk I use BytesIO (or StringIO). My attempt to use BytesIO fails though: import cv2 from io import BytesIO stream = cv2.VideoCapture(0) fourcc = cv2.VideoWriter_fourcc('x264') data = BytesIO() # added these to try to make data appear more like a string data.name = 'stream.{}'.format('av1') data.__str__ = lambda x: x.name try: video =