mirror of
https://github.com/open-mmlab/mmdeploy.git
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* 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>
83 lines
2.3 KiB
C++
83 lines
2.3 KiB
C++
// Copyright (c) OpenMMLab. All rights reserved.
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#include "collect.h"
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#include "archive/json_archive.h"
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#include "core/logger.h"
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namespace mmdeploy {
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CollectImpl::CollectImpl(const Value &args) {
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if (!args.contains("keys") || !args["keys"].is_array()) {
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throw std::invalid_argument("'keys' is missed in arguments, or it is not an array as expected");
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}
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if (args.contains("meta_keys") && !args["meta_keys"].is_array()) {
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throw std::invalid_argument("'meta_keys' has to be an array");
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}
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for (auto &v : args["keys"]) {
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arg_.keys.push_back(v.get<std::string>());
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}
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if (args.contains("meta_keys")) {
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for (auto &v : args["meta_keys"]) {
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arg_.meta_keys.push_back(v.get<std::string>());
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}
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}
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}
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Result<Value> CollectImpl::Process(const Value &input) {
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MMDEPLOY_DEBUG("input: {}", to_json(input).dump(2));
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Value output;
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// collect 'ori_img' and 'attribute' from `input`, because those two fields
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// are given by users, not generated by transform ops
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if (input.contains("ori_img")) {
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output["ori_img"] = input["ori_img"];
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}
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if (input.contains("attribute")) {
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output["attribute"] = input["attribute"];
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}
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for (auto &meta_key : arg_.meta_keys) {
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if (input.contains(meta_key)) {
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output["img_metas"][meta_key] = input[meta_key];
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}
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}
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for (auto &key : arg_.keys) {
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if (!input.contains(key)) {
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MMDEPLOY_ERROR("missed key '{}' in input", key);
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// return Status(eInvalidArgument);
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return Status(eInvalidArgument);
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} else {
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output[key] = input[key];
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}
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}
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MMDEPLOY_DEBUG("output: {}", to_json(output).dump(2));
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return output;
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}
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Collect::Collect(const Value &args, int version) : Transform(args) {
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impl_ = Registry<CollectImpl>::Get().GetCreator("cpu", version)->Create(args);
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}
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Result<Value> Collect::Process(const Value &input) { return impl_->Process(input); }
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class CollectCreator : public Creator<Transform> {
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public:
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const char *GetName() const override { return "Collect"; }
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int GetVersion() const override { return version_; }
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ReturnType Create(const Value &args) override {
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return std::make_unique<Collect>(args, version_);
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}
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private:
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int version_{1};
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};
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REGISTER_MODULE(Transform, CollectCreator);
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MMDEPLOY_DEFINE_REGISTRY(CollectImpl);
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} // namespace mmdeploy
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