mmdeploy/tests/test_csrc/preprocess/test_compose.cpp
lzhangzz 640aa03538
Support Windows (#106)
* minor changes

* support windows

* fix GCC build

* fix lint

* reformat

* fix Windows build

* fix GCC build

* search backend ops for onnxruntime

* fix lint

* fix lint

* code clean-up

* code clean-up

* fix clang build

* fix trt support

* fix cmake for ncnn

* fix cmake for openvino

* fix SDK Python API

* handle ops for other backends (ncnn, trt)

* handle SDK Python API library location

* robustify linkage

* fix cuda

* minor fix for openvino & ncnn

* use CMAKE_CUDA_ARCHITECTURES if set

* fix cuda preprocessor

* fix misc

* fix pplnn & pplcv, drop support for pplcv<0.6.0

* robustify cmake

* update build.md (#2)

* build dynamic modules as module library & fix demo (partially)

* fix candidate path for mmdeploy_python

* move "enable CUDA" to cmake config for demo

* refine demo cmake

* add comment

* fix ubuntu build

* revert docs/en/build.md

* fix C API

* fix lint

* Windows build doc (#3)

* check in docs related to mmdeploy build on windows

* update build guide on windows platform

* update build guide on windows platform

* make path of thirdparty libraries consistent

* make path consistency

* correct build command for custom ops

* correct build command for sdk

* update sdk build instructions

* update doc

* correct build command

* fix lint

* correct build command and fix lint

Co-authored-by: lvhan <lvhan@pjlab.org>

* trailing whitespace (#4)

* minor fix

* fix sr sdk model

* fix type deduction

* fix cudaFree after driver shutting down

* update ppl.cv installation warning (#5)

* fix device allocator threshold & fix lint

* update doc (#6)

* update ppl.cv installation warning

* missing 'git clone'

Co-authored-by: chenxin <chenxin2@sensetime.com>
Co-authored-by: zhangli <zhangli@sensetime.com>
Co-authored-by: lvhan028 <lvhan_028@163.com>
Co-authored-by: lvhan <lvhan@pjlab.org>
2022-02-24 20:08:44 +08:00

101 lines
2.1 KiB
C++

// Copyright (c) OpenMMLab. All rights reserved.
#include <fstream>
// clang-format off
#include "catch.hpp"
// clang-format on
#include "archive/json_archive.h"
#include "core/mat.h"
#include "core/registry.h"
#include "core/utils/formatter.h"
#include "json.hpp"
#include "opencv_utils.h"
#include "test_resource.h"
#include "test_utils.h"
using namespace mmdeploy;
using namespace mmdeploy::test;
using namespace std;
using nlohmann::json;
static constexpr const char *gPipelineConfig = R"(
[{
"type": "LoadImageFromFile"
},
{
"type": "Resize",
"size": [
256, -1
]
},
{
"type": "CenterCrop",
"crop_size": 224
},
{
"type": "Normalize",
"mean": [
123.675,
116.28,
103.53
],
"std": [
58.395,
57.12,
57.375
],
"to_rgb": true
},
{
"type": "ImageToTensor",
"keys": [
"img"
]
},
{
"type": "Collect",
"keys": [
"img"
]
}
]
)";
TEST_CASE("transform Compose exceptional case", "[compose]") {
Value compose_cfg;
SECTION("wrong transform type") {
compose_cfg = {{"type", "Compose"}, {"transforms", {{{"type", "collect"}}}}};
}
SECTION("wrong transform parameter") {
compose_cfg = {{"type", "Compose"}, {"transforms", {{{"type", "Collect"}}}}};
}
const Device kHost{"cpu"};
Stream stream{kHost};
REQUIRE(CreateTransform(compose_cfg, kHost, stream) == nullptr);
}
TEST_CASE("transform Compose", "[compose]") {
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);
auto src_mat = cpu::CVMat2Mat(bgr_mat, PixelFormat::kBGR);
Value input{{"ori_img", src_mat}};
auto json = json::parse(gPipelineConfig);
auto cfg = ::mmdeploy::from_json<Value>(json);
Value compose_cfg{{"type", "Compose"}, {"transforms", cfg}};
const Device kHost{"cpu"};
Stream stream{kHost};
auto transform = CreateTransform(compose_cfg, kHost, stream);
REQUIRE(transform != nullptr);
auto res = transform->Process({{"ori_img", src_mat}});
REQUIRE(!res.has_error());
}