84 lines
3.2 KiB
C++
84 lines
3.2 KiB
C++
// Copyright (c) OpenMMLab. All rights reserved.
|
|
|
|
#include "catch.hpp"
|
|
#include "mmdeploy/core/mat.h"
|
|
#include "mmdeploy/core/tensor.h"
|
|
#include "mmdeploy/core/utils/device_utils.h"
|
|
#include "mmdeploy/preprocess/transform/transform.h"
|
|
#include "opencv2/imgcodecs/imgcodecs.hpp"
|
|
#include "opencv2/imgproc/imgproc.hpp"
|
|
#include "opencv_utils.h"
|
|
#include "test_resource.h"
|
|
#include "test_utils.h"
|
|
|
|
using namespace mmdeploy;
|
|
using namespace std;
|
|
using namespace mmdeploy::test;
|
|
|
|
void TestLoad(const Value& cfg, const cv::Mat& mat, PixelFormat src_format,
|
|
PixelFormat dst_format) {
|
|
auto gResource = MMDeployTestResources::Get();
|
|
for (auto const& device_name : gResource.device_names()) {
|
|
Device device{device_name.c_str()};
|
|
Stream stream{device};
|
|
auto transform = CreateTransform(cfg, device, stream);
|
|
REQUIRE(transform != nullptr);
|
|
|
|
auto ref_mat = mmdeploy::cpu::ColorTransfer(mat, src_format, dst_format);
|
|
|
|
auto res = transform->Process({{"ori_img", cpu::CVMat2Mat(mat, PixelFormat(src_format))}});
|
|
REQUIRE(!res.has_error());
|
|
auto res_tensor = res.value()["img"].get<Tensor>();
|
|
REQUIRE(res_tensor.device() == device);
|
|
REQUIRE(Shape(res.value(), "img_shape") ==
|
|
vector<int64_t>{1, ref_mat.rows, ref_mat.cols, ref_mat.channels()});
|
|
REQUIRE(Shape(res.value(), "ori_shape") ==
|
|
vector<int64_t>{1, mat.rows, mat.cols, mat.channels()});
|
|
REQUIRE(res.value().contains("img_fields"));
|
|
REQUIRE(res.value()["img_fields"].is_array());
|
|
REQUIRE(res.value()["img_fields"].size() == 1);
|
|
REQUIRE(res.value()["img_fields"][0].get<string>() == "img");
|
|
|
|
const Device kHost{"cpu"};
|
|
auto host_tensor = MakeAvailableOnDevice(res_tensor, kHost, stream);
|
|
REQUIRE(stream.Wait());
|
|
|
|
auto res_mat = mmdeploy::cpu::Tensor2CVMat(host_tensor.value());
|
|
REQUIRE(mmdeploy::cpu::Compare(ref_mat, res_mat));
|
|
}
|
|
}
|
|
|
|
TEST_CASE("prepare image, that is LoadImageFromFile transform", "[.load]") {
|
|
auto gResource = MMDeployTestResources::Get();
|
|
auto img_list = gResource.LocateImageResources("transform");
|
|
REQUIRE(!img_list.empty());
|
|
|
|
auto img_path = img_list.front();
|
|
cv::Mat bgr_mat = cv::imread(img_path, cv::IMREAD_COLOR);
|
|
cv::Mat gray_mat = cv::imread(img_path, cv::IMREAD_GRAYSCALE);
|
|
cv::Mat rgb_mat;
|
|
cv::Mat bgra_mat;
|
|
// TODO: make up yuv nv12/nv21 mat
|
|
|
|
cv::cvtColor(bgr_mat, rgb_mat, cv::COLOR_BGR2RGB);
|
|
cv::cvtColor(bgr_mat, bgra_mat, cv::COLOR_BGR2BGRA);
|
|
|
|
vector<pair<cv::Mat, PixelFormat>> mats{{bgr_mat, PixelFormat::kBGR},
|
|
{rgb_mat, PixelFormat::kRGB},
|
|
{gray_mat, PixelFormat::kGRAYSCALE},
|
|
{bgra_mat, PixelFormat::kBGRA}};
|
|
// pair is <color_type, to_float32>
|
|
vector<pair<std::string, bool>> conditions{
|
|
{"color", true}, {"color", false}, {"grayscale", true}, {"grayscale", false}};
|
|
|
|
for (auto& condition : conditions) {
|
|
Value cfg{{"type", "LoadImageFromFile"},
|
|
{"to_float32", condition.second},
|
|
{"color_type", condition.first}};
|
|
for (auto& mat : mats) {
|
|
TestLoad(cfg, mat.first, mat.second,
|
|
condition.first == "color" ? PixelFormat::kBGR : PixelFormat::kGRAYSCALE);
|
|
}
|
|
}
|
|
}
|