mirror of
https://github.com/open-mmlab/mmdeploy.git
synced 2025-01-14 08:09:43 +08:00
3be1779e66
* fix sdk model's pipeline.json * resize INT64 mask * refactor unit tests * fix api in model.h * remove 'customs' from meta info * fix zip model * fix clang-format issue * put tc on each backend into a SECTION * change SECTION title * add DYNAMIC_SECTION for capi unit test * change 'devices' to 'device_names' * change trt to tensorrt * remove uncessary check * add color_type 'color_ignore_orientation' which is used in ocr * 'min_width', 'max_width' and 'backend' might be null in pipeline config * fix clang-format issue * remove useless code
87 lines
2.6 KiB
C++
87 lines
2.6 KiB
C++
// Copyright (c) OpenMMLab. All rights reserved.
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#include "catch.hpp"
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#include "core/tensor.h"
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#include "preprocess/transform/transform.h"
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using namespace mmdeploy;
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using namespace std;
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TEST_CASE("test collect constructor", "[collect]") {
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std::string transform_type{"Collect"};
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auto creator = Registry<Transform>::Get().GetCreator(transform_type, 1);
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REQUIRE(creator != nullptr);
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REQUIRE_THROWS(creator->Create({}));
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SECTION("args with 'keys' which is not an array") {
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REQUIRE_THROWS(creator->Create({{"keys", "img"}}));
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}
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SECTION("args with keys in array") {
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auto module = creator->Create({{"keys", {"img"}}});
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REQUIRE(module != nullptr);
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}
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SECTION("args with meta_keys that is not an array") {
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REQUIRE_THROWS(creator->Create({{"keys", {"img"}}, {"meta_keys", "ori_img"}}));
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}
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SECTION("args with meta_keys in array") {
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auto module = creator->Create({{"keys", {"img"}}, {"meta_keys", {"ori_img"}}});
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REQUIRE(module != nullptr);
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}
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}
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TEST_CASE("test collect", "[collect]") {
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std::string transform_type{"Collect"};
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vector<std::string> keys{"img"};
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vector<std::string> meta_keys{"filename", "ori_filename", "ori_shape", "img_shape",
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"flip", "flip_direction", "img_norm_cfg"};
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Value args;
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for (auto& key : keys) {
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args["keys"].push_back(key);
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}
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for (auto& meta_key : meta_keys) {
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args["meta_keys"].push_back(meta_key);
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}
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auto creator = Registry<Transform>::Get().GetCreator(transform_type, 1);
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REQUIRE(creator != nullptr);
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auto module = creator->Create(args);
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REQUIRE(module != nullptr);
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Value input;
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SECTION("input is empty") {
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auto ret = module->Process(input);
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REQUIRE(ret.has_error());
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REQUIRE(ret.error() == eInvalidArgument);
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}
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SECTION("input has 'ori_img' and 'attribute'") {
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input["ori_img"] = Tensor{};
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input["attribute"] = "this is a faked image";
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auto ret = module->Process(input);
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REQUIRE(ret.has_error());
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REQUIRE(ret.error() == eInvalidArgument);
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}
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SECTION("array input with correct keys and meta keys") {
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Tensor tensor;
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Value input{{"img", tensor},
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{"filename", "test.jpg"},
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{"ori_filename", "/the/path/of/test.jpg"},
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{"ori_shape", {1000, 1000, 3}},
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{"img_shape", {1, 3, 224, 224}},
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{"flip", "false"},
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{"flip_direction", "horizontal"},
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{"img_norm_cfg",
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{{"mean", {123.675, 116.28, 103.53}},
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{"std", {58.395, 57.12, 57.375}},
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{"to_rgb", true}}}};
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auto ret = module->Process(input);
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REQUIRE(ret.has_value());
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}
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}
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