diff --git a/research/cv/PAGENet/README.md b/research/cv/PAGENet/README.md index f01974c3f1fc3d806b9ac5d564c025c0a5ccb95a..ac69260d5e9cab2ce8e18addfe30b76175af782d 100644 --- a/research/cv/PAGENet/README.md +++ b/research/cv/PAGENet/README.md @@ -88,6 +88,7 @@ PAGE-Net网络由三个部分组成,提取特征的CNN模块,金字塔注意 │ ├── run_distribute_train_gpu.sh # 多卡训练脚本文件(gpu) │ ├── run_distribute_train.sh # 多卡训练脚本文件(ascend) │ ├── run_eval.sh # 评估脚本文件(ascend & gpu) + │ ├── run_infer_310.sh # 评估脚本文件(ascend 310) ├── src | ├── model_utils | | ├── config.py @@ -99,10 +100,13 @@ PAGE-Net网络由三个部分组成,提取特征的CNN模块,金字塔注意 │ ├── train_loss.py # 损失定义 | ├── MyTrainOneStep.py # 定义训练网络封装类 | ├── vgg.py # 定义vgg + ├── ascend310_infer # 310推理 ├── train.py # 训练脚本 ├── eval.py # 评估脚本 ├── export.py # 模型导出脚本 ├── requirements.txt # 需求文档 + ├── preprocess.py # 预处理 + ├── postprocess.py # 后处理 ``` ### 脚本参数 @@ -158,6 +162,19 @@ bash scripts/eval.sh [DEVICE_ID] [CONFIG_PATH] #运行推理 python export.py --config_path=[CONFIG_PATH] #导出mindir,模型文件路径为config中的ckpt_file ``` +```text +成功导出模型之后,执行以下指令进行310推理 +首先需修改default_config_ascend.yaml文件: +1. 修改test_img_path为推理数据集原图的路径 +2. 修改test_gt_path为推理数据集MASK的路径 +3. 修改batchsize为1 +执行推理指令如下: +``` + +```bash +bash run_infer_310.sh [MINDIR_PATH] [CONFIG_PATH] [DEVICE_ID] +``` + ## 模型描述 ### 评估性能 @@ -232,4 +249,4 @@ python export.py --config_path=[CONFIG_PATH] #导出mindir,模型文件路径 ## ModelZoo主页 -请浏览官网[主页](https://gitee.com/mindspore/models)。 \ No newline at end of file +请浏览官网[主页](https://gitee.com/mindspore/models)。 diff --git a/research/cv/PAGENet/ascend310_infer/CMakeLists.txt b/research/cv/PAGENet/ascend310_infer/CMakeLists.txt new file mode 100644 index 0000000000000000000000000000000000000000..f936989f21405ae4ba068d1284d62f4e1b8613a5 --- /dev/null +++ b/research/cv/PAGENet/ascend310_infer/CMakeLists.txt @@ -0,0 +1,15 @@ +cmake_minimum_required(VERSION 3.14.1) +project(Ascend310Infer) +add_compile_definitions(_GLIBCXX_USE_CXX11_ABI=0) +set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -O2 -g -std=c++17 -Werror -Wall -fPIE -Wl,--allow-shlib-undefined") +set(PROJECT_SRC_ROOT ${CMAKE_CURRENT_LIST_DIR}/) +option(MINDSPORE_PATH "mindspore install path" "") +include_directories(${MINDSPORE_PATH}) +include_directories(${MINDSPORE_PATH}/include) +include_directories(${PROJECT_SRC_ROOT}) +find_library(MS_LIB libmindspore.so ${MINDSPORE_PATH}/lib) +file(GLOB_RECURSE MD_LIB ${MINDSPORE_PATH}/_c_dataengine*) + +add_executable(main src/main.cc src/utils.cc) +target_link_libraries(main ${MS_LIB} ${MD_LIB} gflags) +find_package(gflags REQUIRED) \ No newline at end of file diff --git a/research/cv/PAGENet/ascend310_infer/build.sh b/research/cv/PAGENet/ascend310_infer/build.sh new file mode 100644 index 0000000000000000000000000000000000000000..e429f3859b6cfd1f606608c9465ec90cecb20535 --- /dev/null +++ b/research/cv/PAGENet/ascend310_infer/build.sh @@ -0,0 +1,29 @@ +#!/bin/bash +# Copyright 2022 Huawei Technologies Co., Ltd +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# ============================================================================ +if [ -d out ]; then + rm -rf out +fi + +mkdir out +cd out || exit + +if [ -f "Makefile" ]; then + make clean +fi + +cmake .. \ + -DMINDSPORE_PATH="`pip show mindspore-ascend | grep Location | awk '{print $2"/mindspore"}' | xargs realpath`" +make diff --git a/research/cv/PAGENet/ascend310_infer/inc/utils.h b/research/cv/PAGENet/ascend310_infer/inc/utils.h new file mode 100644 index 0000000000000000000000000000000000000000..be13a766754d505b3bdd73369d098590142c0ed5 --- /dev/null +++ b/research/cv/PAGENet/ascend310_infer/inc/utils.h @@ -0,0 +1,32 @@ +/** + * Copyright 2022 Huawei Technologies Co., Ltd + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#ifndef MINDSPORE_INFERENCE_UTILS_H_ +#define MINDSPORE_INFERENCE_UTILS_H_ + +#include <sys/stat.h> +#include <dirent.h> +#include <vector> +#include <string> +#include <memory> +#include "include/api/types.h" + +std::vector<std::string> GetAllFiles(std::string_view dirName); +DIR *OpenDir(std::string_view dirName); +std::string RealPath(std::string_view path); +mindspore::MSTensor ReadFileToTensor(const std::string &file); +int WriteResult(const std::string& imageFile, const std::vector<mindspore::MSTensor> &outputs); +#endif diff --git a/research/cv/PAGENet/ascend310_infer/src/main.cc b/research/cv/PAGENet/ascend310_infer/src/main.cc new file mode 100644 index 0000000000000000000000000000000000000000..a87a45c879755fb301dd17ad748e37d27c94c0b4 --- /dev/null +++ b/research/cv/PAGENet/ascend310_infer/src/main.cc @@ -0,0 +1,131 @@ +/** + * Copyright 2022 Huawei Technologies Co., Ltd + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +#include <dirent.h> +#include <gflags/gflags.h> +#include <sys/time.h> +#include <algorithm> +#include <fstream> +#include <iosfwd> +#include <iostream> +#include <sstream> +#include <string> +#include <vector> + +#include "inc/utils.h" +#include "include/api/context.h" +#include "include/api/model.h" +#include "include/api/serialization.h" +#include "include/api/types.h" +#include "include/dataset/execute.h" +#include "include/dataset/vision.h" + +using mindspore::Context; +using mindspore::GraphCell; +using mindspore::kSuccess; +using mindspore::Model; +using mindspore::ModelType; +using mindspore::MSTensor; +using mindspore::Serialization; +using mindspore::Status; +using mindspore::dataset::Execute; + +DEFINE_string(mindir_path, "", "mindir path"); +DEFINE_string(input_path, ".", "input path"); +DEFINE_int32(device_id, 0, "device id"); + +int main(int argc, char **argv) { + gflags::ParseCommandLineFlags(&argc, &argv, true); + if (RealPath(FLAGS_mindir_path).empty()) { + std::cout << "Invalid mindir" << std::endl; + return 1; + } + + auto context = std::make_shared<Context>(); + auto ascend310 = std::make_shared<mindspore::Ascend310DeviceInfo>(); + ascend310->SetDeviceID(FLAGS_device_id); + context->MutableDeviceInfo().push_back(ascend310); + mindspore::Graph graph; + Serialization::Load(FLAGS_mindir_path, ModelType::kMindIR, &graph); + + Model model; + Status ret = model.Build(GraphCell(graph), context); + if (ret != kSuccess) { + std::cout << "ERROR: Build failed." << std::endl; + return 1; + } + std::vector<MSTensor> model_inputs = model.GetInputs(); + if (model_inputs.empty()) { + std::cout << "Invalid model, inputs is empty." << std::endl; + return 1; + } + auto input_files = GetAllFiles(FLAGS_input_path); + + if (input_files.empty()) { + std::cout << "ERROR: input data empty." << std::endl; + return 1; + } + std::map<double, double> costTime_map; + size_t size = input_files.size(); + + for (size_t i = 0; i < size; ++i) { + struct timeval start = {0}; + struct timeval end = {0}; + double startTimeMs; + double endTimeMs; + std::vector<MSTensor> inputs; + std::vector<MSTensor> outputs; + std::cout << "Start predict input files:" << input_files[i] << std::endl; + + auto input0 = ReadFileToTensor(input_files[i]); + + inputs.emplace_back(model_inputs[0].Name(), model_inputs[0].DataType(), + model_inputs[0].Shape(), input0.Data().get(), + input0.DataSize()); + + gettimeofday(&start, nullptr); + ret = model.Predict(inputs, &outputs); + gettimeofday(&end, nullptr); + if (ret != kSuccess) { + std::cout << "Predict " << input_files[i] << " failed." << std::endl; + return 1; + } + startTimeMs = (1.0 * start.tv_sec * 1000000 + start.tv_usec) / 1000; + endTimeMs = (1.0 * end.tv_sec * 1000000 + end.tv_usec) / 1000; + costTime_map.insert(std::pair<double, double>(startTimeMs, endTimeMs)); + WriteResult(input_files[i], outputs); + } + double average = 0.0; + int inferCount = 0; + + for (auto iter = costTime_map.begin(); iter != costTime_map.end(); iter++) { + double diff = iter->second - iter->first; + average += diff; + inferCount++; + } + average = average / inferCount; + std::stringstream timeCost; + timeCost << "NN inference cost average time: " << average + << " ms of infer_count " << inferCount << std::endl; + std::cout << "NN inference cost average time: " << average + << "ms of infer_count " << inferCount << std::endl; + std::string fileName = + "./time_Result" + std::string("/test_perform_static.txt"); + std::ofstream fileStream(fileName.c_str(), std::ios::trunc); + fileStream << timeCost.str(); + fileStream.close(); + costTime_map.clear(); + return 0; +} diff --git a/research/cv/PAGENet/ascend310_infer/src/utils.cc b/research/cv/PAGENet/ascend310_infer/src/utils.cc new file mode 100644 index 0000000000000000000000000000000000000000..3bf81bc874b71e17ccfc953faf8a5eca4810434e --- /dev/null +++ b/research/cv/PAGENet/ascend310_infer/src/utils.cc @@ -0,0 +1,128 @@ +/** + * Copyright 2022 Huawei Technologies Co., Ltd + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +#include "inc/utils.h" +#include <algorithm> +#include <fstream> +#include <iostream> + +using mindspore::DataType; +using mindspore::MSTensor; + +std::vector<std::string> GetAllFiles(std::string_view dirName) { + struct dirent *filename; + DIR *dir = OpenDir(dirName); + if (dir == nullptr) { + return {}; + } + std::vector<std::string> res; + while ((filename = readdir(dir)) != nullptr) { + std::string dName = std::string(filename->d_name); + if (dName == "." || dName == ".." || filename->d_type != DT_REG) { + continue; + } + res.emplace_back(std::string(dirName) + "/" + filename->d_name); + } + std::sort(res.begin(), res.end()); + for (auto &f : res) { + std::cout << "image file: " << f << std::endl; + } + return res; +} + +int WriteResult(const std::string &imageFile, + const std::vector<MSTensor> &outputs) { + std::string homePath = "./result_Files"; + size_t outputSize; + std::shared_ptr<const void> netOutput; + netOutput = outputs[9].Data(); + outputSize = outputs[9].DataSize(); + int pos = imageFile.rfind('/'); + std::string fileName(imageFile, pos + 1); + fileName.replace(fileName.find('.'), fileName.size() - fileName.find('.'), ".bin"); + std::string outFileName = homePath + "/" + fileName; + FILE *outputFile = fopen(outFileName.c_str(), "wb"); + fwrite(netOutput.get(), outputSize, sizeof(char), outputFile); + fclose(outputFile); + outputFile = nullptr; + return 0; +} + +mindspore::MSTensor ReadFileToTensor(const std::string &file) { + if (file.empty()) { + std::cout << "Pointer file is nullptr" << std::endl; + return mindspore::MSTensor(); + } + + std::ifstream ifs(file); + if (!ifs.good()) { + std::cout << "File: " << file << " is not exist" << std::endl; + return mindspore::MSTensor(); + } + + if (!ifs.is_open()) { + std::cout << "File: " << file << "open failed" << std::endl; + return mindspore::MSTensor(); + } + + ifs.seekg(0, std::ios::end); + size_t size = ifs.tellg(); + mindspore::MSTensor buffer(file, mindspore::DataType::kNumberTypeUInt8, + {static_cast<int64_t>(size)}, nullptr, size); + + ifs.seekg(0, std::ios::beg); + ifs.read(reinterpret_cast<char *>(buffer.MutableData()), size); + ifs.close(); + + return buffer; +} + +DIR *OpenDir(std::string_view dirName) { + if (dirName.empty()) { + std::cout << " dirName is null ! " << std::endl; + return nullptr; + } + std::string realPath = RealPath(dirName); + struct stat s; + lstat(realPath.c_str(), &s); + if (!S_ISDIR(s.st_mode)) { + std::cout << "dirName is not a valid directory !" << std::endl; + return nullptr; + } + DIR *dir; + dir = opendir(realPath.c_str()); + if (dir == nullptr) { + std::cout << "Can not open dir " << dirName << std::endl; + return nullptr; + } + std::cout << "Successfully opened the dir " << dirName << std::endl; + return dir; +} + +std::string RealPath(std::string_view path) { + char realPathMem[PATH_MAX] = {0}; + char *realPathRet = nullptr; + realPathRet = realpath(path.data(), realPathMem); + + if (realPathRet == nullptr) { + std::cout << "File: " << path << " is not exist."; + return ""; + } + + std::string realPath(realPathMem); + std::cout << path << " realpath is: " << realPath << std::endl; + return realPath; +} diff --git a/research/cv/PAGENet/postprocess.py b/research/cv/PAGENet/postprocess.py new file mode 100644 index 0000000000000000000000000000000000000000..b8981a2cf3d26c760414b738be181b318ccf449f --- /dev/null +++ b/research/cv/PAGENet/postprocess.py @@ -0,0 +1,79 @@ +# Copyright 2022 Huawei Technologies Co., Ltd +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# ============================================================================ +"""post process for 310 inference""" +import os +import argparse +import numpy as np +from PIL import Image +import mindspore.nn as nn + +def parse(arg=None): + """Define configuration of postprocess""" + parser = argparse.ArgumentParser() + parser.add_argument('--bin_path', type=str, default='./result_Files/') + parser.add_argument('--mask_path', type=str, default='./preprocess_Mask_Result/') + parser.add_argument('--output_dir', type=str, default='./postprocess_Result/') + return parser.parse_args(arg) + +def load_bin_file(bin_file, shape=None, dtype="float32"): + """Load data from bin file""" + data = np.fromfile(bin_file, dtype=dtype) + if shape: + data = np.reshape(data, shape) + return data + +def save_bin_to_image(data, out_name): + """Save bin file to image arrays""" + pic = Image.fromarray(data) + pic = pic.convert('RGB') + pic.save(out_name) + print("Successfully save image in " + out_name) + +def scan_dir(bin_path): + """Scan directory""" + out = os.listdir(bin_path) + return out + +def sigmoid(z): + """sigmoid""" + return 1/(1 + np.exp(-z)) + +def postprocess(args): + """Post process bin file""" + file_list = scan_dir(args.bin_path) + loss = nn.Loss() + F_score = nn.F1() + loss.clear() + total_test_step = 0 + test_data_size = len(file_list) + for file_path in file_list: + data = load_bin_file(args.bin_path + file_path, shape=(224, 224), dtype="float32") + targets1 = load_bin_file(args.mask_path + file_path, shape=(224, 224), dtype="float32") + pre_mask = data + targets1 = targets1.astype(int) + pre_mask = pre_mask.flatten() + targets1 = targets1.flatten() + pre_mask1 = pre_mask.tolist() + F_pre = np.array([[1 - i, i] for i in pre_mask1]) + F_score.update(F_pre, targets1) + total_test_step = total_test_step + 1 + if total_test_step % 100 == 0: + print("evaling:{}/{}".format(total_test_step, test_data_size)) + F_score_result = F_score.eval() + print("F-score: ", (F_score_result[0] + F_score_result[1]) / 2) + print("---------------eval finish------------") +if __name__ == "__main__": + argms = parse() + postprocess(argms) diff --git a/research/cv/PAGENet/preprocess.py b/research/cv/PAGENet/preprocess.py new file mode 100644 index 0000000000000000000000000000000000000000..a9379dbd036c701e9817c50ae9f378d77e01019c --- /dev/null +++ b/research/cv/PAGENet/preprocess.py @@ -0,0 +1,45 @@ +# Copyright 2022 Huawei Technologies Co., Ltd +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# ============================================================================ +"""pre process for 310 inference""" + +import os +from src.mind_dataloader_final import get_test_loader +from src.model_utils.config import config + +def preprocess(): + test_loader = get_test_loader(config.test_img_path, config.test_gt_path, batchsize=1, testsize=config.train_size) + data_iterator = test_loader.create_tuple_iterator() + total_test_step = 0 + test_data_size = test_loader.get_dataset_size() + image_root = config.test_img_path + Names = [] + for data in os.listdir(image_root): + name = data.split(".")[0] + Names.append(name) + Names = sorted(Names) + for imgs, targets in data_iterator: + targets1 = targets.asnumpy() + targets1 = targets1.astype(int) + file_name = Names[total_test_step] + data_name = os.path.join("./preprocess_Result/", file_name + ".bin") + mask_name = os.path.join("./preprocess_Mask_Result/", file_name + ".bin") + imgs.asnumpy().tofile(data_name) + targets.asnumpy().tofile(mask_name) + total_test_step = total_test_step + 1 + if total_test_step % 100 == 0: + print("preprocess:{}/{}".format(total_test_step, test_data_size)) + +if __name__ == "__main__": + preprocess() diff --git a/research/cv/PAGENet/scripts/run_infer_310.sh b/research/cv/PAGENet/scripts/run_infer_310.sh new file mode 100644 index 0000000000000000000000000000000000000000..eba2d148aa8ce132af10e893e1839405e98cfa99 --- /dev/null +++ b/research/cv/PAGENet/scripts/run_infer_310.sh @@ -0,0 +1,118 @@ +#!/bin/bash +# Copyright 2022 Huawei Technologies Co., Ltd +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# ============================================================================ +if [[ $# -lt 2 || $# -gt 3 ]]; then + echo "Usage: bash run_infer_310.sh [MINDIR_PATH] [CONFIG_FILE] [DEVICE_ID] + DEVICE_ID is optional, it can be set by environment variable device_id, otherwise the value is zero" +exit 1 +fi +get_real_path(){ + + if [ "${1:0:1}" == "/" ]; then + echo "$1" + else + echo "$(realpath -m $PWD/$1)" + fi +} +model=$(get_real_path $1) +config_path=$(get_real_path $2) +device_id=0 +if [ $# == 3 ]; then + device_id=$3 +fi +echo "mindir name: "$model +echo "device id: "$device_id +echo "config_path: "$config_path + +export ASCEND_HOME=/usr/local/Ascend/ +if [ -d ${ASCEND_HOME}/ascend-toolkit ]; then + export PATH=$ASCEND_HOME/ascend-toolkit/latest/fwkacllib/ccec_compiler/bin:$ASCEND_HOME/ascend-toolkit/latest/atc/bin:$PATH + export LD_LIBRARY_PATH=/usr/local/lib:$ASCEND_HOME/ascend-toolkit/latest/atc/lib64:$ASCEND_HOME/ascend-toolkit/latest/fwkacllib/lib64:$ASCEND_HOME/driver/lib64:$ASCEND_HOME/add-ons:$LD_LIBRARY_PATH + export TBE_IMPL_PATH=$ASCEND_HOME/ascend-toolkit/latest/opp/op_impl/built-in/ai_core/tbe + export ASCEND_OPP_PATH=$ASCEND_HOME/ascend-toolkit/latest/opp +else + export ASCEND_HOME=/usr/local/Ascend/latest/ + export PATH=$ASCEND_HOME/atc/ccec_compiler/bin:$ASCEND_HOME/atc/bin:$PATH + export LD_LIBRARY_PATH=/usr/local/lib:$ASCEND_HOME/atc/lib64:$ASCEND_HOME/acllib/lib64:$ASCEND_HOME/driver/lib64:$ASCEND_HOME/add-ons:$LD_LIBRARY_PATH + export PYTHONPATH=$ASCEND_HOME/atc/python/site-packages:$PYTHONPATH + export ASCEND_OPP_PATH=$ASCEND_HOME/opp +fi + +function preprocess_data() +{ + if [ -d preprocess_Result ]; then + rm -rf ./preprocess_Result + fi + + if [ -d preprocess_Mask_Result ]; then + rm -rf ./preprocess_Mask_Result + fi + mkdir preprocess_Result + mkdir preprocess_Mask_Result + python ../preprocess.py --config_path=$config_path &> preprocess.log +} +function compile_app() +{ + cd ../ascend310_infer/ || exit + bash build.sh &> build.log +} + +function infer() +{ + cd - || exit + if [ -d result_Files ]; then + rm -rf ./result_Files + fi + if [ -d time_Result ]; then + rm -rf ./time_Result + fi + mkdir result_Files + mkdir time_Result + + ../ascend310_infer/out/main --mindir_path=$model --input_path=./preprocess_Result --device_id=$device_id &> infer.log +} + +function post_process() +{ + if [ -d postprocess_Result ]; then + rm -rf ./postprocess_Result + fi + mkdir postprocess_Result + python ../postprocess.py --bin_path='./result_Files/' --mask_path='./preprocess_Mask_Result/' --output_dir='./postprocess_Result/' &> postprocess.log +} + +preprocess_data +if [ $? -ne 0 ]; then + echo "preprocess dataset failed" + exit 1 +fi + +compile_app +if [ $? -ne 0 ]; then + echo "compile app code failed" + exit 1 +fi + +infer +if [ $? -ne 0 ]; then + echo " execute inference failed" + exit 1 +fi + +post_process +if [ $? -ne 0 ]; then + echo " execute post_process failed" + exit 1 +fi