disable implicit numpy array use in old-style Python bindings because of…

disable implicit numpy array use in old-style Python bindings because of hard-to-fix memory leaks (ticket #1177)

modules/python/src2/cv2.cv.hpp

@@ -1600,15 +1600,15 @@ static int convert_to_CvMat(PyObject *o, CvMat **dst, const char *name)
   Py_ssize_t buffer_len;
 
   if (!is_cvmat(o)) {
-#if !PYTHON_USE_NUMPY
-    return failmsg("Argument '%s' must be CvMat", name);
-#else
+//#if !PYTHON_USE_NUMPY
+    return failmsg("Argument '%s' must be CvMat. Use fromarray() to convert numpy arrays to CvMat", name);
+/*#else
     PyObject *asmat = fromarray(o, 0);
     if (asmat == NULL)
       return failmsg("Argument '%s' must be CvMat", name);
     // now have the array obect as a cvmat, can use regular conversion
     return convert_to_CvMat(asmat, dst, name);
-#endif
+#endif*/
   } else {
     m->a->refcount = NULL;
     if (m->data && PyString_Check(m->data)) {
@@ -1666,15 +1666,15 @@ static int convert_to_CvArr(PyObject *o, CvArr **dst, const char *name)
   } else if (is_cvmatnd(o)) {
     return convert_to_CvMatND(o, (CvMatND**)dst, name);
   } else {
-#if !PYTHON_USE_NUMPY
-    return failmsg("CvArr argument '%s' must be IplImage, CvMat or CvMatND", name);
-#else
+//#if !PYTHON_USE_NUMPY
+    return failmsg("CvArr argument '%s' must be IplImage, CvMat or CvMatND. Use fromarray() to convert numpy arrays to CvMat or cvMatND", name);
+/*#else
     PyObject *asmat = fromarray(o, 0);
     if (asmat == NULL)
       return failmsg("CvArr argument '%s' must be IplImage, CvMat, CvMatND, or support the array interface", name);
     // now have the array obect as a cvmat, can use regular conversion
     return convert_to_CvArr(asmat, dst, name);
-#endif
+#endif*/
   }
 }
 

modules/python/test/test.py

@@ -940,8 +940,8 @@ class AreaTests(OpenCVTests):
 
             # Using an array object for a CvArr parameter
             ones = numpy.ones((640, 480))
-            r = numpy.ones((640, 480))
-            cv.AddS(ones, 7, r)
+            r = cv.fromarray(numpy.ones((640, 480)))
+            cv.AddS(cv.fromarray(ones), 7, r)
             self.assert_(numpy.alltrue(r == (8 * ones)))
 
             # create arrays, use them in OpenCV and replace the the array
@@ -958,11 +958,12 @@ class AreaTests(OpenCVTests):
 
             # 
             m = numpy.identity(4, dtype = numpy.float32)
+            m = cv.fromarray(m[:3, :3])
             rvec = cv.CreateMat(3, 1, cv.CV_32FC1)
             rvec[0,0] = 1
             rvec[1,0] = 1
             rvec[2,0] = 1
-            cv.Rodrigues2(rvec, m[:3,:3])
+            cv.Rodrigues2(rvec, m)
 	    #print m
 
         else: