image

问题 I'm trying to mask an image in swift. Here's my code: (Normally, originalImg is an image that is loaded from UIImagePickerController and then cropped by UIGraphicsGetImageFromCurrentImageContext() , and makedImage is an image that is drawn by the user, created by UIGraphicsGetImageFromCurrentImageContext() ) func imageMasking(_ originalImg: UIImage, maskImage: UIImage) -> UIImage { let cgMaskImage = maskImage.cgImage! let mask = CGImage(maskWidth: cgMaskImage.width, height: cgMaskImage.height

问题 As the title aleady says, it want to create a BufferedImage that is backed by a specific (already existing) IntBuffer. Up to this point, I have the following code: final IntBuffer buf = ...; DataBuffer dbuf = new DataBuffer(DataBuffer.TYPE_INT,size) { public void setElem(int bank, int i, int val) { buf.put(i,val); } public int getElem(int bank, int i) { return buf.get(i); } }; ColorModel cm = ColorModel.getRGBdefault(); SampleModel sm = cm.createCompatibleSampleModel(dim.width,dim.height);

问题 As the title aleady says, it want to create a BufferedImage that is backed by a specific (already existing) IntBuffer. Up to this point, I have the following code: final IntBuffer buf = ...; DataBuffer dbuf = new DataBuffer(DataBuffer.TYPE_INT,size) { public void setElem(int bank, int i, int val) { buf.put(i,val); } public int getElem(int bank, int i) { return buf.get(i); } }; ColorModel cm = ColorModel.getRGBdefault(); SampleModel sm = cm.createCompatibleSampleModel(dim.width,dim.height);

问题 I try to mark the road in the following figure, the yellow middle lines and the white edge lines.: I use the standard code of Hough Transfrom. My code is as following: import cv2 import numpy as np img = cv2.imread('Road3.jpg') hsv = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) low_yellow=np.array([18, 94, 140]) up_yellow=np.array([48, 255, 255]) mask=cv2.inRange(hsv, low_yellow, up_yellow) edges = cv2.Canny(mask,75,150) lines = cv2.HoughLinesP(edges,1,np.pi/180,50,maxLineGap=250) for line in lines:

问题 I have a modal image that when clicked, will open full-screen with the text displayed from the alt tag in the image. I grabbed the code off another site so need to change it to add a download link within the modal so when the link is clicked it will download a file. Is this possible in the below code? Code below: <img id="myImg1" src="test.png" alt="Hello" width="95" height="146"> <!-- The Modal --> <script <div id="myModal1" class="modal"> <span class="close">x</span> <img class="modal

问题 I am trying to classify the Kaggle 10k dog images to 120 breeds using Keras and ResNet50. Due to memory constraints at Kaggle (14gb ram) - I have to use the ImageDataGenerator that feeds the images to the model and also allows data augmentation - in real time. The base convoluted ResNet50 model: conv_base = ResNet50(weights='imagenet', include_top=False, input_shape=(224,224, 3)) My model: model = models.Sequential() model.add(conv_base) model.add(layers.Flatten()) model.add(layers.Dense(256,

问题 I tried a column with an aligned icon but it didn't display correctly If anyone has any idea to help. It would be greatly appreciated. Thank you This is my code that i tried List<Widget> temp = []; listAirline.map((airline) { listAirlineName.map((item) { if (airline.name == item) { temp.add( Column( children: <Widget>[ Container( height: 20, decoration: BoxDecoration( color: Colors.white, borderRadius: BorderRadius.all(Radius.elliptical(100.0, 60.0)), ), child: Image.asset( "images/Airlines/"

问题 I am working on OCRing a document image. I want to detect all pictures and remove from the document image. I want to retain tables in the document image. Once I detect pictures I will remove and then want to OCR. I tried to find contour tried to detect all the bigger areas. unfortunately it detects tables also. Also how to remove the objects keeping other data in the doc image. I am using opencv and python Here's my code import os from PIL import Image import pytesseract img = cv2.imread(

问题 I have a function i use in modifying my images, and i want to display thos images on my page alongside other page content. PHP Image Function : <?php function dynamicImage($nw, $nh, $source, $stype, $dest) { $size = getimagesize($source); $w = $size[0]; $h = $size[1]; switch($stype) { case 'gif': $simg = imagecreatefromgif($source); break; case 'jpg': $simg = imagecreatefromjpeg($source); break; case 'png': $simg = imagecreatefrompng($source); break; } $dimg = imagecreatetruecolor($nw, $nh);

问题 I used Hough lines to get intersection of horizontal and vertical lines in this image: but the complexity grows with the grid cells count significantly. Is there any simple way to complete the grid without using line detection ? Thank you. 回答1: Here's a potential solution using morphological operations with OpenCV Obtain binary image. Load image, grayscale, Gaussian blur, Otsu's threshold Obtain horizontal/vertical lines masks. Create horizontal/vertical kernel and isolate horizontal/vertical