refactored gpu module tests

modules/gpu/test/test_gpu_base.cpp

@@ -0,0 +1,154 @@
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+//                For Open Source Computer Vision Library
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+
+#include "test_precomp.hpp"
+
+bool supportFeature(const cv::gpu::DeviceInfo& info, cv::gpu::FeatureSet feature)
+{
+    return cv::gpu::TargetArchs::builtWith(feature) && info.supports(feature);
+}
+
+const std::vector<cv::gpu::DeviceInfo>& devices()
+{
+    static std::vector<cv::gpu::DeviceInfo> devs;
+    static bool first = true;
+
+    if (first)
+    {
+        int deviceCount = cv::gpu::getCudaEnabledDeviceCount();
+
+        devs.reserve(deviceCount);
+
+        for (int i = 0; i < deviceCount; ++i)
+        {
+            cv::gpu::DeviceInfo info(i);
+            if (info.isCompatible())
+                devs.push_back(info);
+        }
+
+        first = false;
+    }
+
+    return devs;
+}
+
+std::vector<cv::gpu::DeviceInfo> devices(cv::gpu::FeatureSet feature)
+{
+    const std::vector<cv::gpu::DeviceInfo>& d = devices();
+    
+    std::vector<cv::gpu::DeviceInfo> devs_filtered;
+
+    if (cv::gpu::TargetArchs::builtWith(feature))
+    {
+        devs_filtered.reserve(d.size());
+
+        for (size_t i = 0, size = d.size(); i < size; ++i)
+        {
+            const cv::gpu::DeviceInfo& info = d[i];
+
+            if (info.supports(feature))
+                devs_filtered.push_back(info);
+        }
+    }
+
+    return devs_filtered;
+}
+
+std::vector<int> types(int depth_start, int depth_end, int cn_start, int cn_end)
+{
+    std::vector<int> v;
+
+    v.reserve((depth_end - depth_start + 1) * (cn_end - cn_start + 1));
+
+    for (int depth = depth_start; depth <= depth_end; ++depth)
+    {
+        for (int cn = cn_start; cn <= cn_end; ++cn)
+        {
+            v.push_back(CV_MAKETYPE(depth, cn));
+        }
+    }
+
+    return v;
+}
+
+const std::vector<int>& all_types()
+{
+    static std::vector<int> v = types(CV_8U, CV_64F, 1, 4);
+    return v;
+}
+
+cv::Mat readImage(const std::string& fileName, int flags)
+{
+    return cv::imread(std::string(cvtest::TS::ptr()->get_data_path()) + fileName, flags);
+}
+
+double checkNorm(const cv::Mat& m1, const cv::Mat& m2)
+{
+    return cv::norm(m1, m2, cv::NORM_INF);
+}
+
+double checkSimilarity(const cv::Mat& m1, const cv::Mat& m2)
+{
+    cv::Mat diff;
+    cv::matchTemplate(m1, m2, diff, CV_TM_CCORR_NORMED);
+    return std::abs(diff.at<float>(0, 0) - 1.f);
+}
+
+namespace cv
+{
+    std::ostream& operator << (std::ostream& os, const Size& sz)
+    {
+        return os << sz.width << "x" << sz.height;
+    }
+
+    std::ostream& operator << (std::ostream& os, const Scalar& s)
+    {
+        return os << "[" << s[0] << ", " << s[1] << ", " << s[2] << ", " << s[3] << "]";
+    }
+
+    namespace gpu
+    {
+        std::ostream& operator << (std::ostream& os, const DeviceInfo& info)
+        {
+            return os << info.name();
+        }
+    }
+}