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opencv_tutorials_t1 [2016/06/06 14:58] – joaomatosopencv_tutorials_t1 [2017/05/13 16:55] (current) – [Using your Webcam Image] acater
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 {{::basic_operations_using_webcam.rar|Basic operations using webcam}} {{::basic_operations_using_webcam.rar|Basic operations using webcam}}
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 ---- ----
 +===== Basic Operations =====
 +
 +{{ ::basic_op.jpg?direct |}}
  
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- First we have to include the modules from OpenCV that will be used on the program. Each modules has its own functions and Variables type. (For example: the Mat variable type , the cvtColor function , the imshow function , etc... - each one is inside of one OpenCV module , that needs to be included in order to make the program compile).+ First we have to include the modules from OpenCV that will be used on the program. Each modules has its own functions and Variables type. (For example: the Mat variable type , the cvtColor function , the imshow function , etc... - each one is inside of one OpenCV module , that needs to be included in order to make the program compile). The "usingnamespace" is convenient to declare always because it avoid us to type cv::OpenCVFunction  or std::StandardFunction always before using the function for the opencv scope or standard scope.
  
  
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 </Code> </Code>
 The loop will run until the "q" key on the keyboard is pressed (we need to declare the key variable first ). The video shown on the images will be a collection of frames took from your webcam ( using the assign **capture >> colorimage**) the color image will store the webcam frame . The rest of the code is the same thing as the last code , converting to gray scale and HSV.  At the end we just need to assign the **"waitKey"** command to the key variable and close the loop. The loop will run until the "q" key on the keyboard is pressed (we need to declare the key variable first ). The video shown on the images will be a collection of frames took from your webcam ( using the assign **capture >> colorimage**) the color image will store the webcam frame . The rest of the code is the same thing as the last code , converting to gray scale and HSV.  At the end we just need to assign the **"waitKey"** command to the key variable and close the loop.
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 +\\
 +The video below demonstrates the program as it is run in real time.
 +\\
 +{{youtube>PqW0GsMVRd0?medium}}
opencv_tutorials_t1.1465250317.txt.gz · Last modified: by joaomatos