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deploy/openvino/README.md 已删除 100644 → 0
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# PaddelX-openvino
paddlex-openvino提供将PaddleX训练好的模型，部署到装有openvino的硬件上，通过openvino实现对模型预测的加速
## 部署流程
**PaddleX到OoenVINO的部署流程如下**：
PaddleX -> ONNX -> OpenVINO IR -> OpenVINO Inference Engine
### 部署环境
* Ubuntu* 16.04 (64-bit) with GCC* 5.4.0
* CMkae 3.12.3
* Python 3.7
* ONNX 1.5.0
* PaddleX 1.0
* OpenVINO 2020.3
**说明**：PaddleX安装请参考[PaddleX](https://github.com/PaddlePaddle/PaddleX/blob/release-v1.0/README.md) ， OpenVINO相关请参考[OpenVINO](https://github.com/openvinotoolkit/openvino/blob/master/README.md)
请确保系统已经安装好上述基本软件，**下面所有示例以工作目录 `/root/projects/`演示**。
### Step1 软件依赖
- OpenVINO：编译请参考 [编译文档](https://github.com/openvinotoolkit/openvino/blob/master/build-instruction.md)
- gflags：编译请参考 [编译文档](https://gflags.github.io/gflags/#download)
- opencv:编译请参考
[编译文档](https://docs.opencv.org/master/d7/d9f/tutorial_linux_install.html)
说明：/root/projects/openvino/scripts/bootstrap.sh提供了预编译版本下载，也可自行编译。
- ngraph:
说明：openvino编译的过程中会生成ngraph的lib文件，位于{openvino根目录}/bin/intel64/Release/lib/下。
### Step2: 编译
编译`cmake`的命令在`scripts/build.sh`中，请根据Step1中编译软件的实际情况修改主要参数，其主要内容说明如下：
```
# openvino预编译库的路径
OPENVINO_DIR=/path/to/openvino/inference_engine/
# gflags预编译库的路径
GFLAGS_DIR=/path/to/gflags/build/
# ngraph lib的路径，编译openvino时通常会生成
NGRAPH_LIB=/path/to/ngraph/lib/
# opencv预编译库的路径, 如果使用自带预编译版本可不修改
OPENCV_DIR=$(pwd)/deps/opencv3gcc4.8/
```
修改脚本设置好主要参数后，执行`build`脚本：
```shell
sh ./scripts/build.sh
```
### Step3: 模型转换
将PaddleX模型转换成ONNX模型：
```
paddlex --export_onnx --model_dir=/path/to/PaddleX_model --save_dir=/path/to/onnx_model --fixed_input_shape [w,h]
```
**说明** ：onnx请使用1.5.0版本否则可能会出现模型转换错误
将生成的onnx模型转换为OpenVINO支持的格式
```
cd {openvino根目录}/model-optimizer
python mo_onnx.py --input_model /path/to/onnx_model --output_dir /path/to/openvino_model --input_shape [N,C,H,W]
```
**说明** ：模型转换好后包括.xml和.bin两个文件，更多细节请参考[Model Optimizer文档](https://docs.openvinotoolkit.org/latest/_docs_MO_DG_Deep_Learning_Model_Optimizer_DevGuide.html)
### Step4: 预测
编译成功后，分类任务的预测可执行程序为`classifier`，其主要命令参数说明如下：
| 参数 | 说明 |
| ---- | ---- |
| --model_dir | Model Optimizer生成的.xml文件路径，请保证Model Optimizer生成的三个文件在同一路径下|
| --image | 要预测的图片文件路径 |
| --image_list | 按行存储图片路径的.txt文件 |
| --device | 运行的平台, 默认值为"CPU" |
| --cfg_dir | PaddleX model 的.yml配置文件 |
#### 样例
`样例一`：
测试图片 `/path/to/test_img.jpeg`
```shell
./build/classifier --model_dir=/path/to/openvino_model --image=/path/to/test_img.jpeg --cfg_dir=/path/to/PadlleX_model.yml
```
`样例二`:
预测多个图片`/path/to/image_list.txt`，image_list.txt内容的格式如下：
```
/path/to/images/test_img1.jpeg
/path/to/images/test_img2.jpeg
...
/path/to/images/test_imgn.jpeg
```
```shell
./build/classifier --model_dir=/path/to/models/openvino_model --image_list=/root/projects/images_list.txt --cfg_dir=/path/to/PadlleX_model.yml
```
deploy/openvino/demo/classifier.cpp
浏览文件 @ 6800a20c
......@@ -22,7 +22,7 @@
#include "include/paddlex/paddlex.h"
DEFINE_string(model_dir, "", "Path of inference model");
DEFINE_string(cfg_dir, "", "Path of PaddelX model yml file");
DEFINE_string(cfg_file, "", "Path of PaddelX model yml file");
DEFINE_string(device, "CPU", "Device name");
DEFINE_string(image, "", "Path of test image file");
DEFINE_string(image_list, "", "Path of test image list file");
......@@ -35,8 +35,8 @@ int main(int argc, char** argv) {
std::cerr << "--model_dir need to be defined" << std::endl;
return -1;
}
if (FLAGS_cfg_dir == "") {
std::cerr << "--cfg_dir need to be defined" << std::endl;
if (FLAGS_cfg_file == "") {
std::cerr << "--cfg_file need to be defined" << std::endl;
return -1;
}
if (FLAGS_image == "" & FLAGS_image_list == "") {
......@@ -46,7 +46,7 @@ int main(int argc, char** argv) {
// 加载模型
PaddleX::Model model;
model.Init(FLAGS_model_dir, FLAGS_cfg_dir, FLAGS_device);
model.Init(FLAGS_model_dir, FLAGS_cfg_file, FLAGS_device);
// 进行预测
if (FLAGS_image_list != "") {
......
deploy/openvino/demo/segmenter.cpp
浏览文件 @ 6800a20c
......@@ -25,7 +25,7 @@
DEFINE_string(model_dir, "", "Path of openvino model xml file");
DEFINE_string(cfg_dir, "", "Path of PaddleX model yaml file");
DEFINE_string(cfg_file, "", "Path of PaddleX model yaml file");
DEFINE_string(image, "", "Path of test image file");
DEFINE_string(image_list, "", "Path of test image list file");
DEFINE_string(device, "CPU", "Device name");
......@@ -38,8 +38,8 @@ int main(int argc, char** argv) {
std::cerr << "--model_dir need to be defined" << std::endl;
return -1;
}
if (FLAGS_cfg_dir == "") {
std::cerr << "--cfg_dir need to be defined" << std::endl;
if (FLAGS_cfg_file == "") {
std::cerr << "--cfg_file need to be defined" << std::endl;
return -1;
}
if (FLAGS_image == "" & FLAGS_image_list == "") {
......@@ -49,7 +49,7 @@ int main(int argc, char** argv) {
//
PaddleX::Model model;
model.Init(FLAGS_model_dir, FLAGS_cfg_dir, FLAGS_device);
model.Init(FLAGS_model_dir, FLAGS_cfg_file, FLAGS_device);
int imgs = 1;
auto colormap = PaddleX::GenerateColorMap(model.labels.size());
......
deploy/openvino/include/paddlex/paddlex.h
浏览文件 @ 6800a20c
......@@ -37,9 +37,9 @@ namespace PaddleX {
class Model {
public:
void Init(const std::string& model_dir,
const std::string& cfg_dir,
const std::string& cfg_file,
std::string device) {
create_predictor(model_dir, cfg_dir, device);
create_predictor(model_dir, cfg_file, device);
}
void create_predictor(const std::string& model_dir,
......
deploy/openvino/python/convertor.py
浏览文件 @ 6800a20c
#copyright (c) 2020 PaddlePaddle Authors. All Rights Reserve.
#
# 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.
import os
from six import text_type as _text_type
import argparse
......
deploy/openvino/python/demo.py
浏览文件 @ 6800a20c
......@@ -49,7 +49,7 @@ def arg_parser():
parser.add_argument(
"--cfg_dir",
"--cfg_file",
"-c",
type=str,
default=None,
......@@ -63,7 +63,7 @@ def main():
parser = arg_parser()
args = parser.parse_args()
model_xml = args.model_dir
model_yaml = args.cfg_dir
model_yaml = args.cfg_file
#model init
if("CPU" not in args.device):
......
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