!12733 Add ascend310_infer to CRNN

From: @c_34
Reviewed-by: 
Signed-off-by:

model_zoo/official/cv/crnn/Dockerfile

@@ -0,0 +1,6 @@
+ARG FROM_IMAGE_NAME
+FROM ${FROM_IMAGE_NAME}
+
+RUN apt install libgl1-mesa-glx -y
+COPY requirements.txt .
+RUN pip3.7 install -r requirements.txt

model_zoo/official/cv/crnn/ascend310_infer/CMakeLists.txt

@@ -0,0 +1,14 @@
+cmake_minimum_required(VERSION 3.14.1)
+project(Ascend310Infer)
+add_compile_definitions(_GLIBCXX_USE_CXX11_ABI=0)
+set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -O0 -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)

model_zoo/official/cv/crnn/ascend310_infer/build.sh

@@ -0,0 +1,23 @@
+#!/bin/bash
+# Copyright 2020-2021 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
+  mkdir out
+fi
+cd out
+cmake .. \
+    -DMINDSPORE_PATH="`pip show mindspore-ascend | grep Location | awk '{print $2"/mindspore"}' | xargs realpath`"
+make

model_zoo/official/cv/crnn/ascend310_infer/inc/utils.h

@@ -0,0 +1,32 @@
+/**
+ * Copyright 2021 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

model_zoo/official/cv/crnn/ascend310_infer/src/main.cc

@@ -0,0 +1,148 @@
+/**
+ * Copyright 2021 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 <sys/time.h>
+#include <gflags/gflags.h>
+#include <dirent.h>
+#include <iostream>
+#include <string>
+#include <algorithm>
+#include <iosfwd>
+#include <vector>
+#include <fstream>
+
+#include "include/api/model.h"
+#include "include/api/context.h"
+#include "include/api/serialization.h"
+#include "include/api/types.h"
+#include "include/minddata/dataset/include/vision.h"
+#include "include/minddata/dataset/include/execute.h"
+#include "minddata/dataset/include/vision.h"
+
+#include "inc/utils.h"
+
+using mindspore::GlobalContext;
+using mindspore::Serialization;
+using mindspore::Model;
+using mindspore::ModelContext;
+using mindspore::Status;
+using mindspore::ModelType;
+using mindspore::GraphCell;
+using mindspore::kSuccess;
+using mindspore::MSTensor;
+using mindspore::dataset::Execute;
+using mindspore::dataset::vision::Decode;
+using mindspore::dataset::vision::Resize;
+using mindspore::dataset::vision::Normalize;
+using mindspore::dataset::vision::HWC2CHW;
+
+using mindspore::dataset::transforms::TypeCast;
+
+DEFINE_string(mindir_path, "", "mindir path");
+DEFINE_string(dataset_path, ".", "dataset path");
+DEFINE_int32(device_id, 0, "device id");
+DEFINE_string(precision_mode, "allow_fp32_to_fp16", "precision mode");
+DEFINE_string(op_select_impl_mode, "", "op select impl mode");
+DEFINE_string(aipp_path, "", "aipp config file");
+
+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;
+  }
+
+  GlobalContext::SetGlobalDeviceTarget(mindspore::kDeviceTypeAscend310);
+  GlobalContext::SetGlobalDeviceID(FLAGS_device_id);
+  auto graph = Serialization::LoadModel(FLAGS_mindir_path, ModelType::kMindIR);
+  auto model_context = std::make_shared<mindspore::ModelContext>();
+  if (!FLAGS_aipp_path.empty()) {
+    ModelContext::SetInsertOpConfigPath(model_context, FLAGS_aipp_path);
+  }
+
+  Model model(GraphCell(graph), model_context);
+  Status ret = model.Build();
+  if (ret != kSuccess) {
+    std::cout << "ERROR: Build failed." << std::endl;
+    return 1;
+  }
+
+  auto allFiles = GetAllFiles(FLAGS_dataset_path);
+  if (allFiles.empty()) {
+    std::cout << "ERROR: no input data." << std::endl;
+    return 1;
+  }
+
+  Execute compose({std::shared_ptr<Decode>(new Decode()),
+                   std::shared_ptr<Resize>(new Resize({32, 100})),
+                   std::shared_ptr<Normalize>(new Normalize({127.5, 127.5, 127.5},
+                                                                            {127.5, 127.5, 127.5})),
+                   std::shared_ptr<HWC2CHW>(new HWC2CHW())});
+  Execute composeCast(std::shared_ptr<TypeCast>(new TypeCast("float16")));
+
+  struct timeval start;
+  struct timeval end;
+  double startTime_ms;
+  double endTime_ms;
+  std::map<double, double> costTime_map;
+  size_t size = allFiles.size();
+
+  for (size_t i = 0; i < size; ++i) {
+    std::vector<MSTensor> inputs;
+    std::vector<MSTensor> outputs;
+    std::cout << "Start predict input files:" << allFiles[i] << std::endl;
+    std::string suffix = allFiles[i].substr(allFiles[i].rfind("."));
+    if (suffix != ".jpg" && suffix != ".png" && suffix != ".JPG" && suffix != ".PNG") {
+      std::cout << "wrong file format: " << allFiles[i] << std::endl;
+      continue;
+    }
+    auto img = std::make_shared<MSTensor>();
+    compose(ReadFileToTensor(allFiles[i]), img.get());
+
+    inputs.emplace_back(img->Name(), img->DataType(), img->Shape(),
+                        img->Data().get(), img->DataSize());
+
+    gettimeofday(&start, NULL);
+    ret = model.Predict(inputs, &outputs);
+    gettimeofday(&end, NULL);
+    if (ret != kSuccess) {
+      std::cout << "Predict " << allFiles[i] << " failed." << std::endl;
+      return 1;
+    }
+    startTime_ms = (1.0 * start.tv_sec * 1000000 + start.tv_usec) / 1000;
+    endTime_ms = (1.0 * end.tv_sec * 1000000 + end.tv_usec) / 1000;
+    costTime_map.insert(std::pair<double, double>(startTime_ms, endTime_ms));
+    WriteResult(allFiles[i], outputs);
+  }
+    double average = 0.0;
+    int infer_cnt = 0;
+    char tmpCh[256] = {0};
+    for (auto iter = costTime_map.begin(); iter != costTime_map.end(); iter++) {
+        double diff = 0.0;
+        diff = iter->second - iter->first;
+        average += diff;
+        infer_cnt++;
+    }
+    average = average/infer_cnt;
+
+    snprintf(tmpCh, sizeof(tmpCh), "NN inference cost average time: %4.3f ms of infer_count %d \n", average, infer_cnt);
+    std::cout << "NN inference cost average time: "<< average << "ms of infer_count " << infer_cnt << std::endl;
+    std::string file_name = "./time_Result" + std::string("/test_perform_static.txt");
+    std::ofstream file_stream(file_name.c_str(), std::ios::trunc);
+    file_stream << tmpCh;
+    file_stream.close();
+    costTime_map.clear();
+  return 0;
+}

model_zoo/official/cv/crnn/ascend310_infer/src/utils.cc

@@ -0,0 +1,130 @@
+/**
+ * Copyright 2021 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 <fstream>
+#include <algorithm>
+#include <iostream>
+
+using mindspore::MSTensor;
+using mindspore::DataType;
+
+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";
+    for (size_t i = 0; i < outputs.size(); ++i) {
+        size_t outputSize;
+        std::shared_ptr<const void> netOutput;
+        netOutput = outputs[i].Data();
+        outputSize = outputs[i].DataSize();
+        int pos = imageFile.rfind('/');
+        std::string fileName(imageFile, pos + 1);
+        fileName.replace(fileName.find('.'), fileName.size() - fileName.find('.'), '_' + std::to_string(i) + ".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;
+}

model_zoo/official/cv/crnn/postprocess.py

@@ -0,0 +1,81 @@
+# Copyright 2021 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
+#
+# less 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 src.metric import CRNNAccuracy
+from src.config import config1 as config
+
+parser = argparse.ArgumentParser(description="yolov3_darknet53 inference")
+parser.add_argument("--ann_file", type=str, required=True, help="ann file.")
+parser.add_argument("--result_path", type=str, required=True, help="image file path.")
+parser.add_argument("--dataset", type=str, default="ic03", choices=['ic03', 'ic13', 'svt', 'iiit5k'])
+args = parser.parse_args()
+
+def read_annotation(ann_file):
+    file = open(ann_file)
+
+    ann = {}
+    for line in file.readlines():
+        img_info = line.rsplit("/")[-1].split(",")
+        img_path = img_info[0].split('/')[-1]
+        ann[img_path] = img_info[1].strip()
+
+    return ann
+
+def read_IC13_annotation(ann_file):
+    file = open(ann_file)
+
+    ann = {}
+    for line in file.readlines():
+        img_info = line.split(",")
+        img_path = img_info[0].split('/')[-1]
+        ann[img_path] = img_info[1].strip().replace('\"', '')
+
+    return ann
+
+def read_svt_annotation(ann_file):
+    file = open(ann_file)
+
+    ann = {}
+    for line in file.readlines():
+        img_info = line.split(",")
+        img_path = img_info[0].split('/')[-1]
+        ann[img_path] = img_info[1].strip()
+
+    return ann
+
+def get_eval_result(result_path, ann_file):
+    metrics = CRNNAccuracy(config)
+
+    if args.dataset == "ic03" or args.dataset == "iiit5k":
+        ann = read_annotation(args.ann_file)
+    elif args.dataset == "ic13":
+        ann = read_IC13_annotation(args.ann_file)
+    elif args.dataset == "svt":
+        ann = read_svt_annotation(args.ann_file)
+
+    for img_name, label in ann.items():
+        result_file = os.path.join(result_path, img_name[:-4] + "_0.bin")
+        pred_y = np.fromfile(result_file, dtype=np.float32).reshape(config.num_step, -1, config.class_num)
+        metrics.update(pred_y, [label])
+
+    print("result CRNNAccuracy is: ", metrics.eval())
+    metrics.clear()
+
+if __name__ == '__main__':
+    get_eval_result(args.result_path, args.ann_file)

model_zoo/official/cv/crnn/requirements.txt

@@ -1 +1,3 @@
-python-Levenshtein
+python-Levenshtein
+Pillow
+xml-python

model_zoo/official/cv/crnn/scripts/run_infer_310.sh

@@ -0,0 +1,108 @@
+#!/bin/bash
+# Copyright 2021 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 4 || $# -gt 5 ]]; then 
+    echo "Usage: sh run_infer_310.sh [MINDIR_PATH] [DATA_PATH] [ANN_FILE_PATH] [DATASET] [DEVICE_ID]
+    DEVICE_ID is optional, it can be set by environment variable device_id, otherwise the value is zero"
+exit 1
+fi
+
+get_real_path(){
+  if [ "${1:0:1}" == "/" ]; then
+    echo "$1"
+  else
+    echo "$(realpath -m $PWD/$1)"
+  fi
+}
+
+model=$(get_real_path $1)
+data_path=$(get_real_path $2)
+ann_file=$(get_real_path $3)
+dataset=$4
+if [ $# == 5 ]; then
+    device_id=$5
+elif [ $# == 4 ]; then
+    if [ -z $device_id ]; then
+        device_id=0
+    else
+        device_id=$device_id
+    fi
+fi
+
+echo $model
+echo $data_path
+echo $ann_file
+echo $device_id
+
+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 PYTHONPATH=${TBE_IMPL_PATH}:$ASCEND_HOME/ascend-toolkit/latest/fwkacllib/python/site-packages:$PYTHONPATH
+    export ASCEND_OPP_PATH=$ASCEND_HOME/ascend-toolkit/latest/opp
+else
+    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 compile_app()
+{
+    cd ../ascend310_infer
+    if [ -f "Makefile" ]; then
+        make clean
+    fi
+    sh build.sh &> build.log
+
+    if [ $? -ne 0 ]; then
+        echo "compile app code failed"
+        exit 1
+    fi
+    cd -
+}
+
+function infer()
+{
+    if [ -d result_Files ]; then
+        rm -rf ./result_Files
+    fi
+     if [ -d time_Result ]; then
+        rm -rf ./time_Result
+    fi
+    mkdir result_Files
+    mkdir time_Result
+    ../ascend310_infer/out/main --mindir_path=$model --dataset_path=$data_path --device_id=$device_id &> infer.log
+
+    if [ $? -ne 0 ]; then
+        echo "execute inference failed"
+        exit 1
+    fi
+}
+
+function cal_acc()
+{
+    python ../postprocess.py --ann_file=$ann_file --result_path=result_Files --dataset=$dataset &> acc.log &
+    if [ $? -ne 0 ]; then
+        echo "calculate accuracy failed"
+        exit 1
+    fi
+}
+
+compile_app
+infer
+cal_acc

model_zoo/official/cv/crnn/src/metric.py

@@ -37,9 +37,12 @@ class CRNNAccuracy(nn.Metric):
         if len(inputs) != 2:
             raise ValueError('CRNNAccuracy need 2 inputs (y_pred, y), but got {}'.format(len(inputs)))
         y_pred = self._convert_data(inputs[0])
-        y = self._convert_data(inputs[1])
         str_pred = self._ctc_greedy_decoder(y_pred)
-        str_label = self._convert_labels(y)
+        if isinstance(inputs[1], list) and isinstance(inputs[1][0], str):
+            str_label = [x.lower() for x in inputs[1]]
+        else:
+            y = self._convert_data(inputs[1])
+            str_label = self._convert_labels(y)
 
         for pred, label in zip(str_pred, str_label):
             print(pred, " :: ", label)

model_zoo/official/cv/ssd/ascend310_infer/CMakeLists.txt

@@ -1,5 +1,5 @@
 cmake_minimum_required(VERSION 3.14.1)
-project(MindSporeCxxTestcase[CXX])
+project(Ascend310Infer)
 add_compile_definitions(_GLIBCXX_USE_CXX11_ABI=0)
 set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -O0 -g -std=c++17 -Werror -Wall -fPIE -Wl,--allow-shlib-undefined")
 set(PROJECT_SRC_ROOT ${CMAKE_CURRENT_LIST_DIR}/)