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https://github.com/open-mmlab/mmdeploy.git
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* executor prototype * add split/when_all * fix GCC build * WIP let_value * fix let_value * WIP ensure_started * ensure_started & start_detached * fix let_value + when_all combo on MSVC 142 * fix static thread pool * generic just, then, let_value, sync_wait * minor * generic split and when_all * fully generic sender adapters * when_all: workaround for GCC7 * support legacy spdlog * fix memleak * bulk * static detector * fix bulk & first pipeline * bulk for static thread pools * fix on MSVC * WIP async batch submission * WIP collation * async batch * fix detector * fix async detector * fix * fix * debug * fix cuda allocator * WIP type erased executor * better type erasure * simplify C API impl * Expand & type erase TC * deduction guide for type erased senders * fix GCC build * when_all for arrays of Value senders * WIP pipeline v2 * WIP pipeline parser * WIP timed batch operation * add registry * experiment * fix pipeline * naming * fix mem-leak * fix deferred batch operation * WIP * WIP configurable scheduler * WIP configurable scheduler * add comment * parse scheduler config * force link schedulers * WIP pipeable sender * WIP CPO * ADL isolation and dismantle headers * type erase single thread context * fix MSVC build * CPO * replace decay_t with remove_cvref_t * structure adjustment * structure adjustment * apply CPOs & C API rework * refine C API * detector async C API * adjust detector async C API * # Conflicts: # csrc/apis/c/detector.cpp * fix when_all for type erased senders * support void return for Then * async detector * fix some CPOs * minor * WIP rework capture mechanism for type erased types * minor fix * fix MSVC build * move expand.h to execution * make `Expand` pipeable * fix type erased * un-templatize `_TypeErasedOperation` * re-work C API * remove async_detector C API * fix pipeline * add flatten & unflatten * fix flatten & unflatten * add aync OCR demo * config executor for nodes & better executor API * working async OCR example * minor * dynamic batch via scheduler * dynamic batch on `Value` * fix MSVC build * type erase dynamic batch scheduler * sender as Python Awaitable * naming * naming * add docs * minor * merge tmp branch * unify C APIs * fix ocr * unify APIs * fix typo * update async OCR demo * add v3 API text recognizer * fix v3 API * fix lint * add license info & reformat * add demo async_ocr_v2 * revert files * revert files * resolve link issues * fix scheduler linkage for shared libs * fix license header * add docs for `mmdeploy_executor_split` * add missing `mmdeploy_executor_transfer_just` and `mmdeploy_executor_execute` * make `TimedSingleThreadContext` header only * fix lint * simplify type-erased sender
172 lines
5.4 KiB
C++
172 lines
5.4 KiB
C++
// Copyright (c) OpenMMLab. All rights reserved.
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#include "rotated_detector.h"
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#include <numeric>
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#include "apis/c/common_internal.h"
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#include "apis/c/handle.h"
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#include "apis/c/pipeline.h"
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#include "codebase/mmrotate/mmrotate.h"
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#include "core/graph.h"
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#include "core/mat.h"
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#include "core/utils/formatter.h"
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using namespace std;
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using namespace mmdeploy;
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namespace {
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Value& config_template() {
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// clang-format off
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static Value v{
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{
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"pipeline", {
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{"input", {"image"}},
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{"output", {"det"}},
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{
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"tasks",{
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{
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{"name", "mmrotate"},
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{"type", "Inference"},
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{"params", {{"model", "TBD"}}},
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{"input", {"image"}},
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{"output", {"det"}}
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}
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}
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}
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}
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}
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};
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// clang-format on
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return v;
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}
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template <class ModelType>
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int mmdeploy_rotated_detector_create_impl(ModelType&& m, const char* device_name, int device_id,
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mm_handle_t* handle) {
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try {
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auto value = config_template();
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value["pipeline"]["tasks"][0]["params"]["model"] = std::forward<ModelType>(m);
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auto pose_estimator = std::make_unique<AsyncHandle>(device_name, device_id, std::move(value));
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*handle = pose_estimator.release();
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return MM_SUCCESS;
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} catch (const std::exception& e) {
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MMDEPLOY_ERROR("exception caught: {}", e.what());
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} catch (...) {
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MMDEPLOY_ERROR("unknown exception caught");
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}
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return MM_E_FAIL;
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}
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} // namespace
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int mmdeploy_rotated_detector_create(mm_model_t model, const char* device_name, int device_id,
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mm_handle_t* handle) {
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return mmdeploy_rotated_detector_create_impl(*static_cast<Model*>(model), device_name, device_id,
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handle);
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}
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int mmdeploy_rotated_detector_create_by_path(const char* model_path, const char* device_name,
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int device_id, mm_handle_t* handle) {
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return mmdeploy_rotated_detector_create_impl(model_path, device_name, device_id, handle);
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}
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int mmdeploy_rotated_detector_apply(mm_handle_t handle, const mm_mat_t* mats, int mat_count,
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mm_rotated_detect_t** results, int** result_count) {
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wrapped<mmdeploy_value_t> input;
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if (auto ec = mmdeploy_rotated_detector_create_input(mats, mat_count, input.ptr())) {
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return ec;
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}
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wrapped<mmdeploy_value_t> output;
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if (auto ec = mmdeploy_rotated_detector_apply_v2(handle, input, output.ptr())) {
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return ec;
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}
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if (auto ec = mmdeploy_rotated_detector_get_result(output, results, result_count)) {
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return ec;
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}
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return MM_SUCCESS;
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}
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void mmdeploy_rotated_detector_release_result(mm_rotated_detect_t* results,
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const int* result_count) {
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delete[] results;
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delete[] result_count;
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}
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void mmdeploy_rotated_detector_destroy(mm_handle_t handle) {
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delete static_cast<AsyncHandle*>(handle);
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}
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int mmdeploy_rotated_detector_create_v2(mm_model_t model, const char* device_name, int device_id,
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mmdeploy_exec_info_t exec_info, mm_handle_t* handle) {
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return 0;
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}
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int mmdeploy_rotated_detector_create_input(const mm_mat_t* mats, int mat_count,
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mmdeploy_value_t* input) {
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return mmdeploy_common_create_input(mats, mat_count, input);
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}
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int mmdeploy_rotated_detector_apply_v2(mm_handle_t handle, mmdeploy_value_t input,
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mmdeploy_value_t* output) {
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return mmdeploy_pipeline_apply(handle, input, output);
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}
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int mmdeploy_rotated_detector_apply_async(mm_handle_t handle, mmdeploy_sender_t input,
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mmdeploy_sender_t* output) {
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return mmdeploy_pipeline_apply_async(handle, input, output);
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}
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int mmdeploy_rotated_detector_get_result(mmdeploy_value_t output, mm_rotated_detect_t** results,
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int** result_count) {
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if (!output || !results || !result_count) {
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return MM_E_INVALID_ARG;
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}
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try {
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Value& value = Cast(output)->front();
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auto detector_outputs = from_value<vector<mmrotate::RotatedDetectorOutput>>(value);
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vector<int> _result_count;
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_result_count.reserve(detector_outputs.size());
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for (const auto& det_output : detector_outputs) {
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_result_count.push_back((int)det_output.detections.size());
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}
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auto total = std::accumulate(_result_count.begin(), _result_count.end(), 0);
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std::unique_ptr<int[]> result_count_data(new int[_result_count.size()]{});
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std::copy(_result_count.begin(), _result_count.end(), result_count_data.get());
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std::unique_ptr<mm_rotated_detect_t[]> result_data(new mm_rotated_detect_t[total]{});
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auto result_ptr = result_data.get();
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for (const auto& det_output : detector_outputs) {
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for (const auto& detection : det_output.detections) {
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result_ptr->label_id = detection.label_id;
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result_ptr->score = detection.score;
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const auto& rbbox = detection.rbbox;
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for (int i = 0; i < 5; i++) {
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result_ptr->rbbox[i] = rbbox[i];
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}
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++result_ptr;
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}
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}
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*result_count = result_count_data.release();
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*results = result_data.release();
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return MM_SUCCESS;
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} catch (const std::exception& e) {
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MMDEPLOY_ERROR("unhandled exception: {}", e.what());
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} catch (...) {
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MMDEPLOY_ERROR("unknown exception caught");
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}
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return MM_E_FAIL;
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}
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