image-processing

问题 My code it's not detecting well binary image! LpImg = cv2.imread('/content/drive/My Drive/TESTING/Placas_detectadas/CPVL92.png') if (len(LpImg)): #check if there is at least one license image # Scales, calculates absolute values, and converts the result to 8-bit. plate_image = cv2.convertScaleAbs(LpImg[0], alpha=(255.0)) plate_image = LpImg #image_cropped # convert to grayscale and blur the image gray = cv2.cvtColor(plate_image, cv2.COLOR_BGR2GRAY) blur = cv2.GaussianBlur(gray,(7,7),0) #

问题 I'm using opencv to crop tif files, everthing is fine, except for saving image to a file - opencv always uses LZW compression, but i don't need compression on resulting files, i do appreciate opencv's help in saving my disk drive space, but now is not the right time to do it. So is there a way to save tif files with specific compression scheme (including no compression) or no? Original images have no compression scheme applied and i'm using ROI to select area and SaveImage to save it to the

问题 I use code from here to train a model to predict printed style number from 0 to 9 : idx_to_class = {0: "0", 1: "1", 2: "2", 3: "3", 4: "4", 5: "5", 6: "6", 7:"7", 8: "8", 9:"9"} def predict(model, test_image_name): transform = image_transforms['test'] test_image = Image.open(test_image_name) plt.imshow(test_image) test_image_tensor = transform(test_image) if torch.cuda.is_available(): test_image_tensor = test_image_tensor.view(1, 3, 224, 224).cuda() else: test_image_tensor = test_image_tensor

问题 I want to find a maximum of several images: load them into an array and find a maximum along first dimension. Python code for example: import cv2 import sys import numpy as np imgs_paths = sys.argv[1:] imgs = list(map(cv2.imread, imgs_paths)) imgs_arr = np.array(imgs, dtype=np.float32) imgs_max = np.max(imgs_arr, 0) What I did is the following: using Colors, Images function im_to_array(im) img_array = permutedims(channelview(im), (2,3,1)) img_array = Float32.(img_array) return img_array end

问题 I want to find a maximum of several images: load them into an array and find a maximum along first dimension. Python code for example: import cv2 import sys import numpy as np imgs_paths = sys.argv[1:] imgs = list(map(cv2.imread, imgs_paths)) imgs_arr = np.array(imgs, dtype=np.float32) imgs_max = np.max(imgs_arr, 0) What I did is the following: using Colors, Images function im_to_array(im) img_array = permutedims(channelview(im), (2,3,1)) img_array = Float32.(img_array) return img_array end

问题 In my program i allow the user to enter some text which then gets put on top of an image using the graphics.DrawString() method. When i then go to save this image, it saves it without the text. How can i save both as one image? I have seen a few examples but none of which have helped. private void txtToolStripMenuItem_Click(object sender, System.EventArgs e) { Rectangle r = new Rectangle(535, 50, original_image.Width, original_image.Height); Image img = Image.FromFile("C:\\PCB.bmp"); Bitmap

问题 I'm stuck at this tutorial where a ROI is pasted over another region of same image. Python trows a value error when I try something similar: img = cv2.imread(path, -1) eye = img[349:307, 410:383] img[30:180, 91:256] = eye Exeption: Traceback (most recent call last): File "test.py", line 13, in <module> img[30:180, 91:256] = eye ValueError: could not broadcast input array from shape (0,0,3) into shape (150,165,3) This might be very newb question, but I couldn't come up with an answer by

问题 I'm stuck at this tutorial where a ROI is pasted over another region of same image. Python trows a value error when I try something similar: img = cv2.imread(path, -1) eye = img[349:307, 410:383] img[30:180, 91:256] = eye Exeption: Traceback (most recent call last): File "test.py", line 13, in <module> img[30:180, 91:256] = eye ValueError: could not broadcast input array from shape (0,0,3) into shape (150,165,3) This might be very newb question, but I couldn't come up with an answer by

问题 I am working on maze solving using Image Processing and NetworkX search algroithm and need to find the shortest connecting path between two points on those lines. #Solving Maze Using Image Processing and NetWorkx search #Open Maze image img = cv2.imread("C:/Users/Dell/HandMadeMaze1.jpg") kernel = np.ones((1,1),np.uint8) #Convert to GrayScaledImage grayscaled = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY) #BınaryThreshold + OtsuThreshold + BinaryThreshold retval, threshold = cv2.threshold(grayscaled,

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,