mmdeploy/demo/csrc/image_classification.cpp
lvhan028 36124f6205
Merge sdk (#251)
* check in cmake

* move backend_ops to csrc/backend_ops

* check in preprocess, model, some codebase and their c-apis

* check in CMakeLists.txt

* check in parts of test_csrc

* commit everything else

* add readme

* update core's BUILD_INTERFACE directory

* skip codespell on third_party

* update trt_net and ort_net's CMakeLists

* ignore clion's build directory

* check in pybind11

* add onnx.proto. Remove MMDeploy's dependency on ncnn's source code

* export MMDeployTargets only when MMDEPLOY_BUILD_SDK is ON

* remove useless message

* target include directory is wrong

* change target name from mmdeploy_ppl_net to mmdeploy_pplnn_net

* skip install directory

* update project's cmake

* remove useless code

* set CMAKE_BUILD_TYPE to Release by force if it isn't set by user

* update custom ops CMakeLists

* pass object target's source lists

* fix lint end-of-file

* fix lint: trailing whitespace

* fix codespell hook

* remove bicubic_interpolate to csrc/backend_ops/

* set MMDEPLOY_BUILD_SDK OFF

* change custom ops build command

* add spdlog installation command

* update docs on how to checkout pybind11

* move bicubic_interpolate to backend_ops/tensorrt directory

* remove useless code

* correct cmake

* fix typo

* fix typo

* fix install directory

* correct sdk's readme

* set cub dir when cuda version < 11.0

* change directory where clang-format will apply to

* fix build command

* add .clang-format

* change clang-format style from google to file

* reformat csrc/backend_ops

* format sdk's code

* turn off clang-format for some files

* add -Xcompiler=-fno-gnu-unique

* fix trt topk initialize

* check in config for sdk demo

* update cmake script and csrc's readme

* correct config's path

* add cuda include directory, otherwise compile failed in case of tensorrt8.2

* clang-format onnx2ncnn.cpp

Co-authored-by: zhangli <lzhang329@gmail.com>
Co-authored-by: grimoire <yaoqian@sensetime.com>
2021-12-07 10:57:55 +08:00

45 lines
1.2 KiB
C++

#include "classifier.h"
#include <fstream>
#include <string>
#include <opencv2/highgui/highgui.hpp>
int main(int argc, char *argv[]) {
if (argc != 3) {
fprintf(stderr, "usage:\n image_classification model_path image_path\n");
return 1;
}
auto model_path = argv[1];
auto image_path = argv[2];
cv::Mat img = cv::imread(argv[2]);
if (!img.data) {
fprintf(stderr, "failed to load image: %s\n", image_path);
return 1;
}
mm_handle_t classifier{};
int status{};
status = mmdeploy_classifier_create_by_path(model_path, "cpu", 0, &classifier);
if (status != MM_SUCCESS) {
fprintf(stderr, "failed to create classifier, code: %d\n", (int) status);
return 1;
}
mm_mat_t mat{img.data, img.rows, img.cols, 3, MM_BGR, MM_INT8};
mm_class_t *res{};
int *res_count{};
status = mmdeploy_classifier_apply(classifier, &mat, 1, &res, &res_count);
if (status != MM_SUCCESS) {
fprintf(stderr, "failed to apply classifier, code: %d\n", (int) status);
return 1;
}
fprintf(stderr, "label: %d, score: %.4f\n", res->label_id, res->score);
mmdeploy_classifier_release_result(res, res_count, 1);
mmdeploy_classifier_destroy(classifier);
return 0;
}