masking

来源： https://stackoverflow.com/questions/58361766/how-to-i-mask-all-string-characters-except-for-the-last-4-characters-in-java-usi

来源： https://stackoverflow.com/questions/61006764/valueerror-layer-model-2-expects-2-inputs-but-it-received-1-input-tensors

来源： https://stackoverflow.com/questions/50008786/how-to-add-a-mask-in-a-textfield-in-flutter

问题 I tried to mask the characters in a creditcard number string using character 'X'.I wrote two functions as below .The second function uses commons.lang.StringUtils class .I tried to find the time it takes in both cases public static String maskCCNumber(String ccnum){ long starttime = System.currentTimeMillis(); int total = ccnum.length(); int startlen=4,endlen = 4; int masklen = total-(startlen + endlen) ; StringBuffer maskedbuf = new StringBuffer(ccnum.substring(0,startlen)); for(int i=0;i

问题 The goal is to find a generic method to solve the following task: I have two python lists of the same length filled with zeros and ones : detection = [0,0,1,0] # only examples, they can be of any length ground_truth = [0,1,0,0] # and the ones can be at any indizes and a integer number offset = 1 # this number is also variable The goal is to combine # offset elements in detection around elements equal to 1 and then combine the same index elements of ground_truth logical or , resulting the new

问题 I have two lists of zeros and ones. Both lists are of same length. The following is just an example, i am looking for a generic solution for lists of any sizes and with zeros and ones at any index. l1 = [1,1,0,1,1,1,1] l2 = [0,0,0,1,0,0,0] The goal is to use the first list l1 as mask to create a new list l2_new from l2 that logicaly OR merges all elements of indizes where l1 is 1 and adopts elements unchanged where l1 is 0 . Which would result to: l2_new = [0,0,1] Graphical explanation: 回答1:

问题 I'm trying to mask bad pixels in a dataset taken from a detector. In my attempt to come up with a general way to do this so I can run the same code across different images, I tried a few different methods, but none of them ended up working. I'm pretty new with coding and data analysis in Python, so I could use a hand putting things in terms that the computer will understand. As an example, consider the matrix A = np.array([[3,5,50],[30,2,6],[25,1,1]]) What I'm wanting to do is set any element

问题 So I'm trying to speed up some drawing we're doing (drawing a portion of an arc with alpha transparency) and was attempting to cache the entire arc into a separate bitmap, and show it selectively with an alpha mask. From the research I've done (the Xfermodes API demo for Android, this example, and this tool), if I have for example the following two graphics: and draw using the following: Xfermode DST_IN = new PorterDuffXfermode(PorterDuff.Mode.DST_IN); Paint paint = new Paint(Paint.ANTI_ALIAS

问题 I have a problem of applying masking layer to CNNs in RNN/LSTM model. My data is not original image, but I converted into a shape of (16, 34, 4)(channels_first). The data is sequential, and the longest step length is 22. So for invariant way, I set the timestep as 22. Since it may be shorter than 22 steps, I fill others with np.zeros. However, for 0 padding data, it's about half among all dataset, so with 0 paddings, the training cannot reach a very good result with so much useless data. Then

问题 I am training a sequence to sequence model for variable length sequences with Keras, but I am running into some unexpected problems. It is unclear to me whether the behaviour I am observing is the desired behaviour of the library and why it would be. Model Creation I've made a recurrent model with an embeddings layer and a GRU recurrent layer that illustrates the problem. I used mask_zero=0.0 for the embeddings layer instead of a masking layer, but changing this doesn't seem to make a