}
}
+ remove(output.c_str());
+
cv::Mat decode = cv::imdecode(buf, CV_LOAD_IMAGE_COLOR);
ASSERT_FALSE(decode.empty());
EXPECT_TRUE(cv::norm(decode, img_webp, NORM_INF) == 0);
cv::Mat img = cv::imread(input);
ASSERT_FALSE(img.empty());
- for(int q = 100; q>=0; q-=5)
+ for(int q = 100; q>=0; q-=10)
{
std::vector<int> params;
params.push_back(CV_IMWRITE_WEBP_QUALITY);
EXPECT_NO_THROW(cv::imwrite(output, img, params));
cv::Mat img_webp = cv::imread(output);
+ remove(output.c_str());
EXPECT_FALSE(img_webp.empty());
}
}
-TEST(Highgui_WebP, encode_big_image_webp)
-{
- cvtest::TS& ts = *cvtest::TS::ptr();
- std::string input = std::string(ts.get_data_path()) + "/../cv/shared/lena.png";
- cv::Mat img = cv::imread(input);
- cv::resize(img, img, cv::Size(8192, 8192));
-
- std::vector<int> params;
- params.push_back(CV_IMWRITE_WEBP_QUALITY);
- params.push_back(95);
-
- std::string output = cv::tempfile(".webp");
- EXPECT_NO_THROW(cv::imwrite(output, img, params));
-
- img.create(10000, 10000, CV_8UC3);
- cv::randu(img, 0, 256);
- output = cv::tempfile(".webp");
- EXPECT_NO_THROW(cv::imwrite(output, img));
-}
-
#endif