mmdeploy/csrc/apis/python/common.cpp
lzhangzz 46bfe0ac87
[Feature] New pipeline & executor for SDK (#497)
* 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
2022-06-01 14:10:43 +08:00

112 lines
3.0 KiB
C++

// Copyright (c) OpenMMLab. All rights reserved.
#include "apis/python/common.h"
#include "core/value.h"
namespace mmdeploy {
std::map<std::string, void (*)(py::module&)>& gPythonBindings() {
static std::map<std::string, void (*)(py::module&)> v;
return v;
}
mm_mat_t GetMat(const PyImage& img) {
auto info = img.request();
if (info.ndim != 3) {
fprintf(stderr, "info.ndim = %d\n", (int)info.ndim);
throw std::runtime_error("continuous uint8 HWC array expected");
}
auto channels = (int)info.shape[2];
mm_mat_t mat{};
if (channels == 1) {
mat.format = MM_GRAYSCALE;
} else if (channels == 3) {
mat.format = MM_BGR;
} else {
throw std::runtime_error("images of 1 or 3 channels are supported");
}
mat.height = (int)info.shape[0];
mat.width = (int)info.shape[1];
mat.channel = channels;
mat.type = MM_INT8;
mat.data = (uint8_t*)info.ptr;
return mat;
}
py::object ConvertToPyObject(const Value& value) {
switch (value.type()) {
case ValueType::kNull:
return py::none();
case ValueType::kBool:
return py::bool_(value.get<bool>());
case ValueType::kInt:
return py::int_(value.get<int64_t>());
case ValueType::kUInt:
return py::int_(value.get<uint64_t>());
case ValueType::kFloat:
return py::float_(value.get<double>());
case ValueType::kString:
return py::str(value.get<std::string>());
case ValueType::kArray: {
py::list list;
for (const auto& x : value) {
list.append(ConvertToPyObject(x));
}
return list;
}
case ValueType::kObject: {
py::dict dict;
for (auto it = value.begin(); it != value.end(); ++it) {
dict[it.key().c_str()] = ConvertToPyObject(*it);
}
return dict;
}
case ValueType::kAny:
return py::str("<any>");
default:
return py::str("<unknown>");
}
}
Value ConvertToValue(const py::object& obj) {
if (py::isinstance<py::none>(obj)) {
return nullptr;
} else if (py::isinstance<py::bool_>(obj)) {
return obj.cast<bool>();
} else if (py::isinstance<py::int_>(obj)) {
return obj.cast<int>();
} else if (py::isinstance<py::float_>(obj)) {
return obj.cast<double>();
} else if (py::isinstance<py::str>(obj)) {
return obj.cast<std::string>();
} else if (py::isinstance<py::list>(obj)) {
py::list src(obj);
Value::Array dst;
dst.reserve(src.size());
for (const auto& item : src) {
dst.push_back(ConvertToValue(py::reinterpret_borrow<py::object>(item)));
}
return dst;
} else if (py::isinstance<py::dict>(obj)) {
py::dict src(obj);
Value::Object dst;
for (const auto& item : src) {
dst.insert({item.first.cast<std::string>(),
ConvertToValue(py::reinterpret_borrow<py::object>(item.second))});
}
return dst;
} else {
MMDEPLOY_ERROR("unsupported Python object type: {}", obj.get_type().cast<std::string>());
return nullptr;
}
}
} // namespace mmdeploy
PYBIND11_MODULE(mmdeploy_python, m) {
for (const auto& [_, f] : mmdeploy::gPythonBindings()) {
f(m);
}
}