| 292 | class ImageProcessRGBToBGRTest : public MNNTestCase { |
| 293 | public: |
| 294 | virtual bool run(int precision) { |
| 295 | int w = 27, h = 1, size = w * h; |
| 296 | auto integers = genSourceData(h, w, 3); |
| 297 | std::vector<uint8_t> resultData(size * 3); |
| 298 | std::shared_ptr<MNN::Tensor> tensor( |
| 299 | MNN::Tensor::create<uint8_t>(std::vector<int>{1, h, w, 3}, resultData.data(), Tensor::TENSORFLOW)); |
| 300 | ImageProcess::Config config; |
| 301 | config.sourceFormat = RGB; |
| 302 | config.destFormat = BGR; |
| 303 | |
| 304 | std::shared_ptr<ImageProcess> process(ImageProcess::create(config)); |
| 305 | process->convert(integers.data(), w, h, 0, tensor.get()); |
| 306 | for (int i = 0; i < size; ++i) { |
| 307 | int r = resultData[3 * i + 2]; |
| 308 | int g = resultData[3 * i + 1]; |
| 309 | int b = resultData[3 * i + 0]; |
| 310 | if (r != integers[3 * i + 0] || g != integers[3 * i + 1] || b != integers[3 * i + 2]) { |
| 311 | MNN_ERROR("Error for turn rgb to bgr:\n %d,%d,%d->%d, %d, %d\n", integers[3 * i + 0], |
| 312 | integers[3 * i + 1], integers[3 * i + 2], r, g, b); |
| 313 | return false; |
| 314 | } |
| 315 | } |
| 316 | return true; |
| 317 | } |
| 318 | }; |
| 319 | MNNTestSuiteRegister(ImageProcessRGBToBGRTest, "cv/image_process/rgb_to_bgr"); |
| 320 |
nothing calls this directly
no test coverage detected