Author: Mukuldeep Maiti

Mukuldeep Maiti
An unrecognized crazy being with random thoughts lost in unknown

add this classpath in dependencies in project level build.gradle file. [apcode language="xml"] classpath 'com.google.gms:google-services:4.3.3' [/apcode] replace 4.3.3 with whatever latest version...

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In c++, stoi() function convert string to integer syntax: [apcode language="cpp"] int stoi (const string& str, size_t* idx = 0, int base = 10); int stoi (const wstring& str, size_t* idx = 0, int...

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The LBPHFaceRecognizer is created by [apcode language="python"] cv2.face.LBPHFaceRecognizer_create() [/apcode] use LBPHFaceRecognizer_create() instead of createLBPHFaceRecognizer() your code snippet...

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You can use multi-threading to make it fast by executing parallelly/concurrently. In python there is a package called ‘threading’ which provides almost all necessary methods for implementing multi-threading...

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You can use split(delimiter) method to split it into pieces and join them afterward. you may use the following code snippet [apcode language="python"] strr = "hey_john!_it's_your_arena!"...

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use 'StereoBM_create' instead of 'createStereoBM' line no.5 of the code will be [apcode language="python"] stereo = cv2.StereoBM_create(numDisparities=16, blockSize=15) [/apcode] check here  https://raabnits.com/create-depth-map-from-stereo-images-implemented-using-python/

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program to find forbidden latencies, permissible non-forbidden latencies, initial collision vector from reservation table for pipelined architecture. [apcode language="cpp"] #include <iostream>...

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use beta versions [apcode language="xml"] //use androidTestImplementation 'androidx.test:runner:1.3.0-beta01' androidTestImplementation 'androidx.test.espresso:espresso-core:3.3.0-beta01'...

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your project level build.gradle file will look similar to [apcode language="xml"] // Top-level build file where you can add configuration options common to all sub-projects/modules.  buildscript {     repositories...

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I have tried the same using openCV in python, I have pasted the code below [apcode language="python"] import numpy as np import cv2  #reading two image of same size(dimension) i_left = cv2.imread('image_left.jpg',0)...

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