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Merge pull request #16273 from JulienMaille:wrapper_available_target
* add a wrapper for getAvailableTargets * add java wrapper on Target enum
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@ -94,7 +94,7 @@ CV__DNN_EXPERIMENTAL_NS_BEGIN
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*/
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enum Target
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{
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DNN_TARGET_CPU,
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DNN_TARGET_CPU = 0,
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DNN_TARGET_OPENCL,
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DNN_TARGET_OPENCL_FP16,
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DNN_TARGET_MYRIAD,
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@ -102,7 +102,7 @@ CV__DNN_EXPERIMENTAL_NS_BEGIN
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};
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CV_EXPORTS std::vector< std::pair<Backend, Target> > getAvailableBackends();
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CV_EXPORTS std::vector<Target> getAvailableTargets(Backend be);
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CV_EXPORTS_W std::vector<Target> getAvailableTargets(dnn::Backend be);
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/** @brief This class provides all data needed to initialize layer.
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*
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@ -36,6 +36,14 @@
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"v_type": "vector_Layer",
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"j_import": "org.opencv.dnn.Layer"
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},
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"vector_Target": {
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"j_type": "List<Integer>",
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"jn_type": "List<Integer>",
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"jni_type": "jobject",
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"jni_var": "std::vector< cv::dnn::Target > %(n)s",
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"suffix": "Ljava_util_List",
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"v_type": "vector_Target"
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},
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"LayerId": {
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"j_type": "DictValue",
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"jn_type": "long",
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@ -59,6 +59,25 @@ jobject vector_Ptr_Layer_to_List(JNIEnv* env, std::vector<cv::Ptr<cv::dnn::Layer
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return result;
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}
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jobject vector_Target_to_List(JNIEnv* env, std::vector<cv::dnn::Target>& vs)
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{
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static jclass juArrayList = ARRAYLIST(env);
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static jmethodID m_create = CONSTRUCTOR(env, juArrayList);
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jmethodID m_add = LIST_ADD(env, juArrayList);
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static jclass jInteger = env->FindClass("java/lang/Integer");
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static jmethodID m_create_Integer = env->GetMethodID(jInteger, "<init>", "(I)V");
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jobject result = env->NewObject(juArrayList, m_create, vs.size());
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for (size_t i = 0; i < vs.size(); ++i)
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{
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jobject element = env->NewObject(jInteger, m_create_Integer, vs[i]);
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env->CallBooleanMethod(result, m_add, element);
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env->DeleteLocalRef(element);
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}
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return result;
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}
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std::vector<cv::Ptr<cv::dnn::Layer> > List_to_vector_Ptr_Layer(JNIEnv* env, jobject list)
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{
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static jclass juArrayList = ARRAYLIST(env);
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@ -28,5 +28,6 @@ jobject vector_Ptr_Layer_to_List(JNIEnv* env, std::vector<cv::Ptr<cv::dnn::Layer
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std::vector<cv::Ptr<cv::dnn::Layer> > List_to_vector_Ptr_Layer(JNIEnv* env, jobject list);
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jobject vector_Target_to_List(JNIEnv* env, std::vector<cv::dnn::Target>& vs);
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#endif /* DNN_CONVERTERS_HPP */
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@ -141,4 +141,9 @@ public class DnnTensorFlowTest extends OpenCVTestCase {
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net = Dnn.readNetFromTensorflow(new MatOfByte(modelBuffer));
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checkInceptionNet(net);
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}
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public void testGetAvailableTargets() {
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List<Integer> targets = Dnn.getAvailableTargets(Dnn.DNN_BACKEND_OPENCV);
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assertTrue(targets.contains(Dnn.DNN_TARGET_CPU));
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}
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}
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@ -71,6 +71,12 @@ PyObject* pyopencv_from(const dnn::LayerParams& lp)
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return dict;
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}
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template<>
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PyObject* pyopencv_from(const std::vector<dnn::Target> &t)
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{
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return pyopencv_from(std::vector<int>(t.begin(), t.end()));
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}
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class pycvLayer CV_FINAL : public dnn::Layer
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{
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public:
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@ -117,6 +117,10 @@ class dnn_test(NewOpenCVTests):
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return False
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return True
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def test_getAvailableTargets(self):
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targets = cv.dnn.getAvailableTargets(cv.dnn.DNN_BACKEND_OPENCV)
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self.assertTrue(cv.dnn.DNN_TARGET_CPU in targets)
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def test_blobFromImage(self):
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np.random.seed(324)
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