If you want the image at the corner of your actual figure (rather than the corner of your axis), look into figimage. Perhaps something like this? (using PIL to read the image): import matplotlib.pyplot as plt import Image import numpy as np im = Image.open(‘/home/jofer/logo.png’) height = im.size[1] # We need a float array between … Read more
This will work best if you preload the images. $(“#vehicle”).change(function(){ var selected = $(this).val(); var image = $(“#selectedVehicle”); image.fadeOut(‘fast’, function () { image.attr(‘src’, ‘/assets/images/mini/’+selected+’.png’); image.fadeIn(‘fast’); }); }); This will fade the image out, change the src, then fade it back in. Reference the jQuery docs for more information on the fading functions. Again, you should … Read more
I really see no reason to use any external libraries for this, I’ve done this sort of thing many times and the following algorithm works quite well. I’ll assume that if you’re comparing two images that they have the same dimensions, but you can just resize one if they don’t. badness := 0.0 For x, … Read more
I would just add the masks together, and use np.where to mask the original image. img=cv2.imread(“img.bmp”) img_hsv=cv2.cvtColor(img, cv2.COLOR_BGR2HSV) # lower mask (0-10) lower_red = np.array([0,50,50]) upper_red = np.array([10,255,255]) mask0 = cv2.inRange(img_hsv, lower_red, upper_red) # upper mask (170-180) lower_red = np.array([170,50,50]) upper_red = np.array([180,255,255]) mask1 = cv2.inRange(img_hsv, lower_red, upper_red) # join my masks mask = mask0+mask1 … Read more
The “multiple image” you showed is easy enough to handle using just simple image processing, no need for template matching 🙂 % read the second image img2 = imread(‘https://i.stack.imgur.com/zyHuj.jpg’); img2 = im2double(rgb2gray(img2)); % detect coca-cola logos bw = im2bw(img2); % Otsu’s thresholding bw = imfill(~bw, ‘holes’); % fill holes stats = regionprops(bw, {‘Centroid’, ‘BoundingBox’}); % … Read more
Just set the width to auto: img { width: auto; max-height: 100%; } Here’s the fiddle: http://jsfiddle.net/6Y5Zp/
A little more detail… I posted earlier this evening with a consolidation and small addition to what had been said on this page – that can be found at the bottom of this post. I am editing the post at this point, however, to post what I propose is (at least for my requirements, which … Read more
Base64 converts your data to an ASCII representation of the binary data. It allows you to embed your data in text streams such as JSON for example. Base64 increases the size of the data transferred by 33%. multipart/form-data is the standard way of transferring binary data in HTTP requests. It allows you to use specific … Read more
background-size MDN – CSS Tricks – Can I Use As the image sizes are variable, you want to make sure they cover the div as well as being centered within it. Adding the border-radius: 50%; will give you the circle effect. .user { display: inline-block; width: 150px; height: 150px; border-radius: 50%; background-repeat: no-repeat; background-position: center … Read more