You probably want something like this: >>> a = np.array([True, True, True, False, False]) >>> b = np.array([[1,2,3,4,5], [1,2,3,4,5]]) >>> b[:,a] array([[1, 2, 3], [1, 2, 3]]) Note that for this kind of indexing to work, it needs to be an ndarray, like you were using, not a list, or it’ll interpret the False and … Read more
Thanks to the link from MSK, this is the way I went with which works well: // Create a mask layer and the frame to determine what will be visible in the view. CAShapeLayer *maskLayer = [[CAShapeLayer alloc] init]; CGRect maskRect = CGRectMake(0, 0, 50, 100); // Create a path with the rectangle in it. … Read more
I wrote this TextWatcher for a project, hopefully it will be helpful to someone. Note that it does not validate the date entered by the user, and you should handle that when the focus changes, since the user may not have finished entering the date. Update 25/06 Made it a wiki to see if we … Read more
Here, you could use cv2.bitwise_and function if you already have the mask image. For check the below code: img = cv2.imread(‘lena.jpg’) mask = cv2.imread(‘mask.png’,0) res = cv2.bitwise_and(img,img,mask = mask) The output will be as follows for a lena image, and for rectangular mask.
A solution that responds to the input event instead of key events (like keyup) will give a smooth experience (no wiggles), and also works when changes are made without the keyboard (context menu, mouse drag, other device…). The code below will look for input elements that have both a placeholder attribute and a data-slots attribute. … Read more
There’s an easier way. #import <QuartzCore/QuartzCore.h> // remember to include Framework as well CALayer *mask = [CALayer layer]; mask.contents = (id)[[UIImage imageNamed:@”mask.png”] CGImage]; mask.frame = CGRectMake(0, 0, <img_width>, <img_height>); yourImageView.layer.mask = mask; yourImageView.layer.masksToBounds = YES; For Swift 4 and plus follow code below let mask = CALayer() mask.contents = UIImage(named: “right_challenge_bg”)?.cgImage as Any mask.frame = … Read more
I think you can use loc if you need update two columns to same value: df1.loc[df1[‘stream’] == 2, [‘feat’,’another_feat’]] = ‘aaaa’ print df1 stream feat another_feat a 1 some_value some_value b 2 aaaa aaaa c 2 aaaa aaaa d 3 some_value some_value If you need update separate, one option is use: df1.loc[df1[‘stream’] == 2, ‘feat’] … Read more