Fix typos (davisking#2811)

examples/dnn_dcgan_train_ex.cpp

@@ -20,7 +20,7 @@
     the discriminator to update the generator.
 
     In this example, we are going to learn how to generate digits from the MNIST dataset, but
-    the same code can be run using the Fashion MNIST datset:
+    the same code can be run using the Fashion MNIST dataset:
     https://github.com/zalandoresearch/fashion-mnist
 */
 

examples/dnn_semantic_segmentation_ex.h

@@ -41,7 +41,7 @@
 // Introduce the building blocks used to define the segmentation network.
 // The network first does residual downsampling (similar to the dnn_imagenet_(train_)ex
 // example program), and then residual upsampling. In addition, U-Net style skip
-// connections are used, so that not every simple detail needs to reprented on the low
+// connections are used, so that not every simple detail needs to represented on the low
 // levels. (See Ronneberger et al. (2015), U-Net: Convolutional Networks for Biomedical
 // Image Segmentation, https://arxiv.org/pdf/1505.04597.pdf)
 

examples/ffmpeg_rtsp_ex.cpp

@@ -107,7 +107,7 @@ try
     {
         // The muxer acts as an RTSP client, so we don't use {"rtsp_flags", "listen"}
         // When using RTSP, it is usually a good idea to specify muxer::args::output_format = "rtsp"
-        // even though the URL has rtsp:// in its address. Whether or not you need to specify args.output_formt = "rtsp"
+        // even though the URL has rtsp:// in its address. Whether or not you need to specify args.output_format = "rtsp"
         // depends on your version of ffmpeg.
         muxer writer([&] {
             muxer::args args;

examples/ffmpeg_screen_grab_ex.cpp

@@ -44,7 +44,7 @@ try
     }
     else
     {
-        printf("Sorry your installation of ffmpeg doens't support screen grab\n");
+        printf("Sorry your installation of ffmpeg doesn't support screen grab\n");
     }
 
     return EXIT_SUCCESS;

examples/optimization_ex.cpp

@@ -67,7 +67,7 @@ const column_vector rosen_derivative (const column_vector& m)
     return res;
 }
 
-// This function computes the Hessian matrix for the rosen() fuction.  This is
+// This function computes the Hessian matrix for the rosen() function.  This is
 // the matrix of second derivatives.
 matrix<double> rosen_hessian (const column_vector& m)
 {

examples/sockstreambuf_ex.cpp

@@ -79,7 +79,7 @@ int main()
         // In any case, this function is provided to allow you to perform a graceful 
         // close if you so choose.  
         // 
-        // Also note that the timeout can be changed by suppling an optional argument 
+        // Also note that the timeout can be changed by supplying an optional argument 
         // to this function.
         close_gracefully(con);
     }