mmdeploy/csrc/apis/c/detector.cpp

173 lines
5.3 KiB
C++

// Copyright (c) OpenMMLab. All rights reserved.
#include "detector.h"
#include <numeric>
#include "archive/value_archive.h"
#include "codebase/mmdet/mmdet.h"
#include "core/device.h"
#include "core/graph.h"
#include "core/mat.h"
#include "core/utils/formatter.h"
#include "handle.h"
using namespace std;
using namespace mmdeploy;
namespace {
Value& config_template() {
// clang-format off
static Value v{
{
"pipeline", {
{"input", {"image"}},
{"output", {"det"}},
{
"tasks",{
{
{"name", "mmdetection"},
{"type", "Inference"},
{"params", {{"model", "TBD"}}},
{"input", {"image"}},
{"output", {"det"}}
}
}
}
}
}
};
// clang-format on
return v;
}
template <class ModelType>
int mmdeploy_detector_create_impl(ModelType&& m, const char* device_name, int device_id,
mm_handle_t* handle) {
try {
auto value = config_template();
value["pipeline"]["tasks"][0]["params"]["model"] = std::forward<ModelType>(m);
auto detector = std::make_unique<Handle>(device_name, device_id, std::move(value));
*handle = detector.release();
return MM_SUCCESS;
} catch (const std::exception& e) {
ERROR("exception caught: {}", e.what());
} catch (...) {
ERROR("unknown exception caught");
}
return MM_E_FAIL;
}
} // namespace
MM_SDK_API int mmdeploy_detector_create(mm_model_t model, const char* device_name, int device_id,
mm_handle_t* handle) {
return mmdeploy_detector_create_impl(*static_cast<Model*>(model), device_name, device_id, handle);
}
MM_SDK_API int mmdeploy_detector_create_by_path(const char* model_path, const char* device_name,
int device_id, mm_handle_t* handle) {
return mmdeploy_detector_create_impl(model_path, device_name, device_id, handle);
}
MM_SDK_API int mmdeploy_detector_apply(mm_handle_t handle, const mm_mat_t* mats, int mat_count,
mm_detect_t** results, int** result_count) {
if (handle == nullptr || mats == nullptr || mat_count == 0) {
return MM_E_INVALID_ARG;
}
try {
auto detector = static_cast<Handle*>(handle);
Value input{Value::kArray};
for (int i = 0; i < mat_count; ++i) {
mmdeploy::Mat _mat{mats[i].height, mats[i].width, PixelFormat(mats[i].format),
DataType(mats->type), mats[i].data, Device{"cpu"}};
input.front().push_back({{"ori_img", _mat}});
}
auto output = detector->Run(std::move(input)).value().front();
DEBUG("output: {}", output);
auto detector_outputs = from_value<vector<mmdet::DetectorOutput>>(output);
vector<int> _result_count;
_result_count.reserve(mat_count);
for (const auto& det_output : detector_outputs) {
_result_count.push_back((int)det_output.detections.size());
}
auto total = std::accumulate(_result_count.begin(), _result_count.end(), 0);
std::unique_ptr<int[]> result_count_data(new int[_result_count.size()]{});
auto result_count_ptr = result_count_data.get();
std::copy(_result_count.begin(), _result_count.end(), result_count_data.get());
auto deleter = [&](mm_detect_t* p) {
mmdeploy_detector_release_result(p, result_count_ptr, mat_count);
};
std::unique_ptr<mm_detect_t[], decltype(deleter)> result_data(new mm_detect_t[total]{},
deleter);
// ownership transferred to result_data
result_count_data.release();
auto result_ptr = result_data.get();
for (const auto& det_output : detector_outputs) {
for (const auto& detection : det_output.detections) {
result_ptr->label_id = detection.label_id;
result_ptr->score = detection.score;
const auto& bbox = detection.bbox;
result_ptr->bbox = {bbox[0], bbox[1], bbox[2], bbox[3]};
auto mask_byte_size = detection.mask.byte_size();
if (mask_byte_size) {
auto& mask = detection.mask;
result_ptr->mask = new mm_instance_mask_t{};
result_ptr->mask->data = new char[mask_byte_size];
result_ptr->mask->width = mask.width();
result_ptr->mask->height = mask.height();
std::copy(mask.data<char>(), mask.data<char>() + mask_byte_size, result_ptr->mask->data);
}
++result_ptr;
}
}
*result_count = result_count_ptr;
*results = result_data.release();
return MM_SUCCESS;
} catch (const std::exception& e) {
ERROR("exception caught: {}", e.what());
} catch (...) {
ERROR("unknown exception caught");
}
return MM_E_FAIL;
}
MM_SDK_API void mmdeploy_detector_release_result(mm_detect_t* results, const int* result_count,
int count) {
auto result_ptr = results;
for (int i = 0; i < count; ++i) {
for (int j = 0; j < result_count[i]; ++j, ++result_ptr) {
if (result_ptr->mask) {
delete result_ptr->mask->data;
delete result_ptr->mask;
}
}
}
delete[] results;
delete[] result_count;
}
MM_SDK_API void mmdeploy_detector_destroy(mm_handle_t handle) {
if (handle != nullptr) {
auto detector = static_cast<Handle*>(handle);
delete detector;
}
}