spelling fixes

doc/py_tutorials/py_bindings/py_bindings_basics/py_bindings_basics.markdown

@@ -176,7 +176,7 @@ public:
     // You would need to provide the method body in the binder code
     CV_WRAP_PHANTOM(static void* context());
 
-    //! The wrapped method become equvalent to `get(int flags = ACCESS_RW)`
+    //! The wrapped method become equivalent to `get(int flags = ACCESS_RW)`
     CV_WRAP_AS(get) Mat getMat(int flags CV_WRAP_DEFAULT(ACCESS_RW)) const;
 };
 @endcode

doc/py_tutorials/py_feature2d/py_brief/py_brief.markdown

@@ -12,7 +12,7 @@ Theory
 
 We know SIFT uses 128-dim vector for descriptors. Since it is using floating point numbers, it takes
 basically 512 bytes. Similarly SURF also takes minimum of 256 bytes (for 64-dim). Creating such a
-vector for thousands of features takes a lot of memory which are not feasible for resouce-constraint
+vector for thousands of features takes a lot of memory which are not feasible for resource-constraint
 applications especially for embedded systems. Larger the memory, longer the time it takes for
 matching.