Skip to main content

Basic object detection in python using OpenCv and Numpy - by Dustbiin

Add multiple sheets in an excel file in JAVA by using Apache POI. - Dustbiin

Adding multiple sheets in excel file-

multiple sheet

Create new workbook first-

XSSFWorkbook workBook = new XSSFWorkbook();

Add sheets in the workbook

Sheet sheet1 = workbook.createSheet("Sheet name 1");
Sheet sheet2 = workbook.createSheet("Sheet name 2");
Sheet sheet3 = workbook.createSheet("Sheet name 3");
Sheet sheet4 = workbook.createSheet("Sheet name 4");
Sheet sheet5 = workbook.createSheet("Sheet name 5");  
try (FileOutputStream outputStream = new FileOutputStream( "demo.xlsx" ))
{
    workbook.write( outputStream );
}
finally
{
    workbook.close();
}

Output - 
output
Output with five sheet int excel file
 

Comments

Popular posts from this blog

Custom cell color in Excel Apache POI - By Dustbiin

Create custom color for cell background by using java color class Create custom color- XSSFWorkbook workBook = new XSSFWorkbook (); IndexedColorMap colorMap = workbook.getStylesSource().getIndexedColors(); Font tableHeadOneFontStyle = workbook.createFont();  tableHeadOneFontStyle.setBold( true ); tableHeadOneFontStyle.setColor( IndexedColors.BLACK.getIndex() ); XSSFCellStyle tableHeaderOneColOneStyle = workbook.createCellStyle(); tableHeaderOneColOneStyle.setFont( tableHeadOneFontStyle ); tableHeaderOneColOneStyle.setFillForegroundColor( new XSSFColor( new java.awt.Color( 255, 231, 153 ), colorMap ) ); tableHeaderOneColOneStyle.setFillPattern( FillPatternType.SOLID_FOREGROUND ); tableHeaderOneColOneStyle = setLeftRightBorderColor( tableHeaderOneColOneStyle ); tableHeaderOneColOneStyle = alignCenter( tableHeaderOneColOneStyle );

Create design by connecting dot's using opencv and numpy - by Dustbiin

Create basic design by using connecting dot's using your mouse- I have been create this by using mouse event check out the code below- use Python, OpenCv , NumPy import numpy as np import cv2 def click_event(event , x , y , flags , param): if event == cv2.EVENT_LBUTTONDOWN: print(x , " , " , y) font = cv2.FONT_HERSHEY_SIMPLEX strXY = str(x) + ' , ' + str(y) # cv2.putText(img,strXY, (x, y), font, .1, (255, 255, 0), 2) cv2.circle(img , (x , y) , 3 , ( 0 , 0 , 255 ) , - 1 ) points.append((x , y)) if len(points) >= 2 : cv2.circle(img , points[- 1 ] , 3 , ( 0 , 0 , 255 ) , - 1 ) # cv2.putText(img,strXY, points[-1], font, .1, (255, 255, 0), 2) cv2.line(img , points[- 2 ] , points[- 1 ] , ( 0 , 0 , 255 ) , 1 ) cv2.imshow( "Image" , img) points = [] img = np.zeros(( 512 , 512 , 3 )) cv2.imshow( "Image" , img) cv2.setMouseCallback( 'Image' ...

Basic object detection in python using OpenCv and Numpy - by Dustbiin

 Object detection in python by using OpenCv and Numpy -  Object Detection is a new vision technique using camera. It give us ability to identify objects in a cam video and also in an image.  with this kind of technique we identify the object on the basis of color, shape and size etc. And it is also use for count the object in an image or videos. Object detection is also user for tracking an object current location.  Code for basic object detection on the basis of color- import numpy as np import cv2 def nothing (x): print (x) #user for live cam object detection cap = cv2.VideoCapture( 0 ) cv2.namedWindow( 'Tracking' ) cv2.createTrackbar( 'LH' , 'Tracking' , 0 , 255 , nothing) cv2.createTrackbar( 'LS' , 'Tracking' , 0 , 255 , nothing) cv2.createTrackbar( 'LV' , 'Tracking' , 0 , 255 , nothing) cv2.createTrackbar( 'UH' , 'Tracking' , 255 , 255 , nothing) cv2.createTrackbar( 'US' , 'Tracking' , 255...