cv2

问题 I want to crop the biggest object in the image (Characters). This code only works if there is no line (shown in the first image). But I need to ignore the line and make the image of the second image. Only crop the biggest object image. import cv2 x1, y1, w1, h1 = (0,0,0,0) points = 0 # load image img = cv2.imread('Image.jpg') gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) # convert to grayscale # threshold to get just the signature retval, thresh_gray = cv2.threshold(gray, thresh=100, maxval

问题 getting error while doing this import cv2 python3: Relink `/lib/x86_64-linux-gnu/libudev.so.1' with `/lib/x86_64-linux-gnu/librt.so.1' for IFUNC symbol `clock_gettime' Segmentation fault (core dumped) import cv2 python3: Relink `/lib/x86_64-linux-gnu/libudev.so.1' with `/lib/x86_64-linux-gnu/librt.so.1' for IFUNC symbol `clock_gettime' Segmentation fault (core dumped) 回答1: perhaps CUDA was not installed properly check it 来源： https://stackoverflow.com/questions/56347458/getting-error-while

问题 I have some signal images: As you can inspect, some of them contain color signals and some are just gray/black color signals. My task is to extract pure signal with white background only. That means I need to remove all but signal in the image. I checked that dash lines, dotted lines, solid lines (top and bottom) have the same RGB value that are close to 0;0;0 (ex: 0;0;0, 2;2;2; or 8;8;8) in terms of RGB. Therefore, first thing that came to my mind was to access RGB values of each pixel and

问题 I'm trying to run a loop that iterates through an image folder and returns two numpy arrays: x - stores the image as a numpy array y - stores the label. A folder can easily have over 40.000 rgb images, with dimensions (224,224). I have around 12Gb of memory but after some iterations, the used memory just spikes up and everything stops. What can I do to fix this issue? def create_set(path, quality): x_file = glob.glob(path + '*') x = [] for i, img in enumerate(x_file): image = cv2.imread(img,

问题 I am trying to put images on screen while capturing webcam (I'm using MAC). Hence, I started two thread: one for capturing video, the other for presenting images on screen: webcam_thread = self.init_webcam_thread() images_thread = self.init_images_thread() webcam_thread.start() images_thread.start() The video capture is working correctly; The image show is working correctly while I'm not using thread (When this is the only process). However, when using mutli-Threading, all presented in a

问题 i want to change the both brightness and contrast of an existing image by 100%. decoded = Image.open(BytesIO(base64.b64decode(base64Data))) image = cv2.cvtColor(np.array(decoded), cv2.COLOR_BGR2RGB) Is there a function that allows me to do this? 回答1: I couldn't find OpenCV function for this, but I found that guide: https://docs.opencv.org/3.4/d3/dc1/tutorial_basic_linear_transform.html It says that you can adjust contrast and brightness this way: new_image = old_image * contrast_coeff +

问题 i want to change the both brightness and contrast of an existing image by 100%. decoded = Image.open(BytesIO(base64.b64decode(base64Data))) image = cv2.cvtColor(np.array(decoded), cv2.COLOR_BGR2RGB) Is there a function that allows me to do this? 回答1: I couldn't find OpenCV function for this, but I found that guide: https://docs.opencv.org/3.4/d3/dc1/tutorial_basic_linear_transform.html It says that you can adjust contrast and brightness this way: new_image = old_image * contrast_coeff +

问题 I would like my keras model to resize the input image using cv2 or similar. I have seen the use of ImageGenerator , but I would prefer to write my own generator and simply resize the image in the first layer with keras.layers.core.Lambda . How would I do this? 回答1: If you are using tensorflow backend then you can use tf.image.resize_images() function to resize the images in Lambda layer. Here is a small example to demonstrate the same: import numpy as np import scipy.ndimage import matplotlib

问题 I am trying to draw text on Image where the user clicks. Getting this error: Exception in Tkinter callback Traceback (most recent call last): File "C:\Users\Admin\AppData\Local\Programs\Python\Python37-32\lib\tkinter\__init__.py", line 1705, in __call__ return self.func(*args) File "C:/Users/Admin/PycharmProjects/ashish/td.py", line 35, in draw_text cv2.putText(img, "OpenCV + Jurassic Park!!!", (event.x,event.y), cv2.FONT_HERSHEY_SIMPLEX, 0.7, (0, 255, 0), 2) TypeError: Expected cv::UMat for

问题 I am running the following code: import cv2 import numpy f = open("raw_image",'rb') raw_image = f.read(720 * 1280 * 3) image = numpy.fromstring(raw_image, dtype='uint8') image = image.reshape((720, 1280, 3)) cv2.imshow('Image', image) cv2.waitKey(0) cv2.destroyAllWindows() cv2.waitKey(1) and I get this result: the image is RGB image with height of 720p and width of 1280. Any Ideas how to solve it? EDIT : I receive images from a camera with resolution of 720x1280. The image is a colored image.