|
|
|
@@ -1798,6 +1798,39 @@ TEST_F(MindDataImageProcess, testConvertRgbToGray) { |
|
|
|
CompareMat(rgb_mat, lite_mat_gray); |
|
|
|
} |
|
|
|
|
|
|
|
TEST_F(MindDataImageProcess, testConvertRgbToGrayFail) { |
|
|
|
std::string filename = "data/dataset/apple.jpg"; |
|
|
|
cv::Mat image = cv::imread(filename, cv::ImreadModes::IMREAD_COLOR); |
|
|
|
cv::Mat rgb_mat; |
|
|
|
cv::Mat rgb_mat1; |
|
|
|
|
|
|
|
cv::cvtColor(image, rgb_mat, CV_BGR2GRAY); |
|
|
|
cv::imwrite("./opencv_image.jpg", rgb_mat); |
|
|
|
|
|
|
|
cv::cvtColor(image, rgb_mat1, CV_BGR2RGB); |
|
|
|
|
|
|
|
// The width and height of the output image is different from the original image. |
|
|
|
LiteMat lite_mat_rgb; |
|
|
|
lite_mat_rgb.Init(rgb_mat1.cols, rgb_mat1.rows, rgb_mat1.channels(), rgb_mat1.data, LDataType::UINT8); |
|
|
|
LiteMat lite_mat_gray; |
|
|
|
bool ret = ConvertRgbToGray(lite_mat_rgb, LDataType::UINT8, 1000, 1000, lite_mat_gray); |
|
|
|
ASSERT_TRUE(ret == false); |
|
|
|
|
|
|
|
// The input lite_mat_rgb object is null. |
|
|
|
LiteMat lite_mat_rgb1; |
|
|
|
LiteMat lite_mat_gray1; |
|
|
|
bool ret1 = ConvertRgbToGray(lite_mat_rgb1, LDataType::UINT8, image.cols, image.rows, lite_mat_gray1); |
|
|
|
ASSERT_TRUE(ret1 == false); |
|
|
|
|
|
|
|
// The channel of output image object is not 1. |
|
|
|
LiteMat lite_mat_rgb2; |
|
|
|
lite_mat_rgb2.Init(rgb_mat1.cols, rgb_mat1.rows, rgb_mat1.channels(), rgb_mat1.data, LDataType::UINT8); |
|
|
|
LiteMat lite_mat_gray2; |
|
|
|
lite_mat_gray2.Init(rgb_mat1.cols, rgb_mat1.rows, rgb_mat1.channels(), rgb_mat1.data, LDataType::UINT8); |
|
|
|
bool ret2 = ConvertRgbToGray(lite_mat_rgb2, LDataType::UINT8, image.cols, image.rows, lite_mat_gray2); |
|
|
|
ASSERT_TRUE(ret2 == false); |
|
|
|
} |
|
|
|
|
|
|
|
TEST_F(MindDataImageProcess, testResizePreserveARWithFillerv) { |
|
|
|
std::string filename = "data/dataset/apple.jpg"; |
|
|
|
cv::Mat image = cv::imread(filename, cv::ImreadModes::IMREAD_COLOR); |
|
|
|
|