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--- opencv_tutorials_t1 [2016/06/06 14:56] – joaomatos
+++ opencv_tutorials_t1 [2017/05/13 16:55] (current) – [Using your Webcam Image] acater
@@ Line 8: / Line 8: @@
 {{::basic_operations_using_webcam.rar|Basic operations using webcam}}
 ----
+===== Basic Operations =====
+{{ ::basic_op.jpg?direct |}}
 <Code:c++ linenums:1>
@@ Line 90: / Line 95: @@
 **Line 1 to 11**:
- 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.
@@ Line 268: / Line 273: @@
 </Code>
- We changed the "imread" for the "VideoCapture" which will capture from your default video source (capture(0)) and the "resize" for the "capture.set" function.
+ We changed the **"imread"** for the **"VideoCapture"** which will capture from your default video source (capture(0)) and the **"resize"** for the **"capture.set"** function.
@@ Line 281: / Line 286: @@
 			capture >> colorimage;
 </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.
+\\
+The video below demonstrates the program as it is run in real time.
+\\
+{{youtube>PqW0GsMVRd0?medium}}