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Unverified Commit 17edc892 authored by xiaoting's avatar xiaoting Committed by GitHub
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Merge pull request #340 from authorfu/develop 

添加android ocr demo
parents 16003260 dd280ec8
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deploy/android_demo/app/src/main/cpp/ocr_ppredictor.h 0 → 100644
View file @ 17edc892
//
// Created by fujiayi on 2020/7/1.
//
#pragma once
#include <string>
#include <opencv2/opencv.hpp>
#include <paddle_api.h>
#include "ppredictor.h"
namespace ppredictor {
/**
* 配置
*/
struct OCR_Config {
int thread_num = 4; // 线程数
paddle::lite_api::PowerMode mode = paddle::lite_api::LITE_POWER_HIGH; // PaddleLite Mode
};
/**
* 一个四边形内图片的推理结果,
*/
struct OCRPredictResult {
std::vector<int> word_index; //
std::vector<std::vector<int>> points;
float score;
};
/**
* OCR 一共有2个模型进行推理，
* 1. 使用第一个模型（det），框选出多个四边形
* 2. 从原图从抠出这些多边形，使用第二个模型（rec），获取文本
*/
class OCR_PPredictor : public PPredictor_Interface {
public:
OCR_PPredictor(const OCR_Config &config);
virtual ~OCR_PPredictor() {
}
/**
* 初始化二个模型的Predictor
* @param det_model_content
* @param rec_model_content
* @return
*/
int init(const std::string &det_model_content, const std::string &rec_model_content);
int init_from_file(const std::string &det_model_path, const std::string &rec_model_path);
/**
* 返回OCR结果
* @param dims
* @param input_data
* @param input_len
* @param net_flag
* @param origin
* @return
*/
virtual std::vector<OCRPredictResult>
infer_ocr(const std::vector<int64_t> &dims, const float *input_data, int input_len,
int net_flag, cv::Mat &origin);
virtual NET_TYPE get_net_flag() const;
private:
/**
* 从第一个模型的结果中计算有文字的四边形
* @param pred
* @param output_height
* @param output_width
* @param origin
* @return
*/
std::vector<std::vector<std::vector<int>>>
calc_filtered_boxes(const float *pred, int pred_size, int output_height, int output_width,
const cv::Mat &origin);
/**
* 第二个模型的推理
*
* @param boxes
* @param origin
* @return
*/
std::vector<OCRPredictResult>
infer_rec(const std::vector<std::vector<std::vector<int>>> &boxes, const cv::Mat &origin);
/**
* 第二个模型提取文字的后处理
* @param res
* @return
*/
std::vector<int> postprocess_rec_word_index(const PredictorOutput &res);
/**
* 计算第二个模型的文字的置信度
* @param res
* @return
*/
float postprocess_rec_score(const PredictorOutput &res);
std::unique_ptr<PPredictor> _det_predictor;
std::unique_ptr<PPredictor> _rec_predictor;
OCR_Config _config;
};
}
deploy/android_demo/app/src/main/cpp/ppredictor.cpp 0 → 100644
View file @ 17edc892
#include "ppredictor.h"
#include "common.h"
namespace ppredictor {
PPredictor::PPredictor(int thread_num, int net_flag, paddle::lite_api::PowerMode mode) :
_thread_num(thread_num), _net_flag(net_flag), _mode(mode) {
}
int PPredictor::init_nb(const std::string &model_content) {
paddle::lite_api::MobileConfig config;
config.set_model_from_buffer(model_content);
return _init(config);
}
int PPredictor::init_from_file(const std::string &model_content){
paddle::lite_api::MobileConfig config;
config.set_model_from_file(model_content);
return _init(config);
}
template<typename ConfigT>
int PPredictor::_init(ConfigT &config) {
config.set_threads(_thread_num);
config.set_power_mode(_mode);
_predictor = paddle::lite_api::CreatePaddlePredictor(config);
LOGI("paddle instance created");
return RETURN_OK;
}
PredictorInput PPredictor::get_input(int index) {
PredictorInput input{_predictor->GetInput(index), index, _net_flag};
_is_input_get = true;
return input;
}
std::vector<PredictorInput> PPredictor::get_inputs(int num) {
std::vector<PredictorInput> results;
for (int i = 0; i < num; i++) {
results.emplace_back(get_input(i));
}
return results;
}
PredictorInput PPredictor::get_first_input() {
return get_input(0);
}
std::vector<PredictorOutput> PPredictor::infer() {
LOGI("infer Run start %d", _net_flag);
std::vector<PredictorOutput> results;
if (!_is_input_get) {
return results;
}
_predictor->Run();
LOGI("infer Run end");
for (int i = 0; i < _predictor->GetOutputNames().size(); i++) {
std::unique_ptr<const paddle::lite_api::Tensor> output_tensor = _predictor->GetOutput(i);
LOGI("output tensor[%d] size %ld", i, product(output_tensor->shape()));
PredictorOutput result{std::move(output_tensor), i, _net_flag};
results.emplace_back(std::move(result));
}
return results;
}
NET_TYPE PPredictor::get_net_flag() const {
return (NET_TYPE) _net_flag;
}
}
\ No newline at end of file
deploy/android_demo/app/src/main/cpp/ppredictor.h 0 → 100644
View file @ 17edc892
#pragma once
#include "paddle_api.h"
#include "predictor_input.h"
#include "predictor_output.h"
namespace ppredictor {
/**
* PaddleLite Preditor 通用接口
*/
class PPredictor_Interface {
public:
virtual ~PPredictor_Interface() {
}
virtual NET_TYPE get_net_flag() const = 0;
};
/**
* 通用推理
*/
class PPredictor : public PPredictor_Interface {
public:
PPredictor(int thread_num, int net_flag = 0,
paddle::lite_api::PowerMode mode = paddle::lite_api::LITE_POWER_HIGH);
virtual ~PPredictor() {
}
/**
* 初始化paddlitelite的opt模型，nb格式，与init_paddle二选一
* @param model_content
* @return 0 目前是固定值0， 之后其他值表示失败
*/
virtual int init_nb(const std::string &model_content);
virtual int init_from_file(const std::string &model_content);
std::vector<PredictorOutput> infer();
std::shared_ptr<paddle::lite_api::PaddlePredictor> get_predictor() {
return _predictor;
}
virtual std::vector<PredictorInput> get_inputs(int num);
virtual PredictorInput get_input(int index);
virtual PredictorInput get_first_input();
virtual NET_TYPE get_net_flag() const;
protected:
template<typename ConfigT>
int _init(ConfigT &config);
private:
int _thread_num;
paddle::lite_api::PowerMode _mode;
std::shared_ptr<paddle::lite_api::PaddlePredictor> _predictor;
bool _is_input_get = false;
int _net_flag;
};
}
deploy/android_demo/app/src/main/cpp/predictor_input.cpp 0 → 100644
View file @ 17edc892
#include "predictor_input.h"
namespace ppredictor {
void PredictorInput::set_dims(std::vector<int64_t> dims) {
// yolov3
if (_net_flag == 101 && _index == 1) {
_tensor->Resize({1, 2});
_tensor->mutable_data<int>()[0] = (int) dims.at(2);
_tensor->mutable_data<int>()[1] = (int) dims.at(3);
} else {
_tensor->Resize(dims);
}
_is_dims_set = true;
}
float *PredictorInput::get_mutable_float_data() {
if (!_is_dims_set) {
LOGE("PredictorInput::set_dims is not called");
}
return _tensor->mutable_data<float>();
}
void PredictorInput::set_data(const float *input_data, int input_float_len) {
float *input_raw_data = get_mutable_float_data();
memcpy(input_raw_data, input_data, input_float_len * sizeof(float));
}
}
\ No newline at end of file
deploy/android_demo/app/src/main/cpp/predictor_input.h 0 → 100644
View file @ 17edc892
#pragma once
#include <paddle_api.h>
#include <vector>
#include "common.h"
namespace ppredictor {
class PredictorInput {
public:
PredictorInput(std::unique_ptr<paddle::lite_api::Tensor> &&tensor, int index, int net_flag) :
_tensor(std::move(tensor)), _index(index),_net_flag(net_flag) {
}
void set_dims(std::vector<int64_t> dims);
float *get_mutable_float_data();
void set_data(const float *input_data, int input_float_len);
private:
std::unique_ptr<paddle::lite_api::Tensor> _tensor;
bool _is_dims_set = false;
int _index;
int _net_flag;
};
}
deploy/android_demo/app/src/main/cpp/predictor_output.cpp 0 → 100644
View file @ 17edc892
#include "predictor_output.h"
namespace ppredictor {
const float* PredictorOutput::get_float_data() const{
return _tensor->data<float>();
}
const int* PredictorOutput::get_int_data() const{
return _tensor->data<int>();
}
const std::vector<std::vector<uint64_t>> PredictorOutput::get_lod() const{
return _tensor->lod();
}
int64_t PredictorOutput::get_size() const{
if (_net_flag == NET_OCR) {
return _tensor->shape().at(2) * _tensor->shape().at(3);
} else {
return product(_tensor->shape());
}
}
const std::vector<int64_t> PredictorOutput::get_shape() const{
return _tensor->shape();
}
}
\ No newline at end of file
deploy/android_demo/app/src/main/cpp/predictor_output.h 0 → 100644
View file @ 17edc892
#pragma once
#include <paddle_api.h>
#include <vector>
#include "common.h"
namespace ppredictor {
class PredictorOutput {
public:
PredictorOutput(){
}
PredictorOutput(std::unique_ptr<const paddle::lite_api::Tensor> &&tensor, int index, int net_flag) :
_tensor(std::move(tensor)), _index(index), _net_flag(net_flag) {
}
const float* get_float_data() const;
const int* get_int_data() const;
int64_t get_size() const;
const std::vector<std::vector<uint64_t>> get_lod() const;
const std::vector<int64_t> get_shape() const;
std::vector<float> data; // 通常是float返回，与下面的data_int二选一
std::vector<int> data_int; // 少数层是int返回，与 data二选一
std::vector<int64_t> shape; // PaddleLite输出层的shape
std::vector<std::vector<uint64_t>> lod; // PaddleLite输出层的lod
private:
std::unique_ptr<const paddle::lite_api::Tensor> _tensor;
int _index;
int _net_flag;
};
}
deploy/android_demo/app/src/main/cpp/preprocess.cpp 0 → 100644
View file @ 17edc892
#include "preprocess.h"
#include <android/bitmap.h>
cv::Mat bitmap_to_cv_mat(JNIEnv *env, jobject bitmap) {
AndroidBitmapInfo info;
int result = AndroidBitmap_getInfo(env, bitmap, &info);
if (result != ANDROID_BITMAP_RESULT_SUCCESS) {
LOGE("AndroidBitmap_getInfo failed, result: %d", result);
return cv::Mat{};
}
if (info.format != ANDROID_BITMAP_FORMAT_RGBA_8888) {
LOGE("Bitmap format is not RGBA_8888 !");
return cv::Mat{};
}
unsigned char *srcData = NULL;
AndroidBitmap_lockPixels(env, bitmap, (void **) &srcData);
cv::Mat mat = cv::Mat::zeros(info.height, info.width, CV_8UC4);
memcpy(mat.data, srcData, info.height * info.width * 4);
AndroidBitmap_unlockPixels(env, bitmap);
cv::cvtColor(mat, mat, cv::COLOR_RGBA2BGR);
/**
if (!cv::imwrite("/sdcard/1/copy.jpg", mat)){
LOGE("Write image failed " );
}
*/
return mat;
}
cv::Mat resize_img(const cv::Mat& img, int height, int width){
if (img.rows == height && img.cols == width){
return img;
}
cv::Mat new_img;
cv::resize(img, new_img, cv::Size(height, width));
return new_img;
}
// fill tensor with mean and scale and trans layout: nhwc -> nchw, neon speed up
void neon_mean_scale(const float* din,
float* dout,
int size,
const std::vector<float>& mean,
const std::vector<float>& scale) {
if (mean.size() != 3 || scale.size() != 3) {
LOGE("[ERROR] mean or scale size must equal to 3");
return;
}
float32x4_t vmean0 = vdupq_n_f32(mean[0]);
float32x4_t vmean1 = vdupq_n_f32(mean[1]);
float32x4_t vmean2 = vdupq_n_f32(mean[2]);
float32x4_t vscale0 = vdupq_n_f32(scale[0]);
float32x4_t vscale1 = vdupq_n_f32(scale[1]);
float32x4_t vscale2 = vdupq_n_f32(scale[2]);
float* dout_c0 = dout;
float* dout_c1 = dout + size;
float* dout_c2 = dout + size * 2;
int i = 0;
for (; i < size - 3; i += 4) {
float32x4x3_t vin3 = vld3q_f32(din);
float32x4_t vsub0 = vsubq_f32(vin3.val[0], vmean0);
float32x4_t vsub1 = vsubq_f32(vin3.val[1], vmean1);
float32x4_t vsub2 = vsubq_f32(vin3.val[2], vmean2);
float32x4_t vs0 = vmulq_f32(vsub0, vscale0);
float32x4_t vs1 = vmulq_f32(vsub1, vscale1);
float32x4_t vs2 = vmulq_f32(vsub2, vscale2);
vst1q_f32(dout_c0, vs0);
vst1q_f32(dout_c1, vs1);
vst1q_f32(dout_c2, vs2);
din += 12;
dout_c0 += 4;
dout_c1 += 4;
dout_c2 += 4;
}
for (; i < size; i++) {
*(dout_c0++) = (*(din++) - mean[0]) * scale[0];
*(dout_c1++) = (*(din++) - mean[1]) * scale[1];
*(dout_c2++) = (*(din++) - mean[2]) * scale[2];
}
}
\ No newline at end of file
deploy/android_demo/app/src/main/cpp/preprocess.h 0 → 100644
View file @ 17edc892
#pragma once
#include <jni.h>
#include <opencv2/opencv.hpp>
#include "common.h"
cv::Mat bitmap_to_cv_mat(JNIEnv *env, jobject bitmap);
cv::Mat resize_img(const cv::Mat& img, int height, int width);
void neon_mean_scale(const float* din,
float* dout,
int size,
const std::vector<float>& mean,
const std::vector<float>& scale);
deploy/android_demo/app/src/main/java/com/baidu/paddle/lite/demo/ocr/AppCompatPreferenceActivity.java 0 → 100644
View file @ 17edc892
/*
* Copyright (C) 2014 The Android Open Source Project
*
* 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.
*/
package com.baidu.paddle.lite.demo.ocr;
import android.content.res.Configuration;
import android.os.Bundle;
import android.preference.PreferenceActivity;
import android.support.annotation.LayoutRes;
import android.support.annotation.Nullable;
import android.support.v7.app.ActionBar;
import android.support.v7.app.AppCompatDelegate;
import android.support.v7.widget.Toolbar;
import android.view.MenuInflater;
import android.view.View;
import android.view.ViewGroup;
/**
* A {@link PreferenceActivity} which implements and proxies the necessary calls
* to be used with AppCompat.
* <p>
* This technique can be used with an {@link android.app.Activity} class, not just
* {@link PreferenceActivity}.
*/
public abstract class AppCompatPreferenceActivity extends PreferenceActivity {
private AppCompatDelegate mDelegate;
@Override
protected void onCreate(Bundle savedInstanceState) {
getDelegate().installViewFactory();
getDelegate().onCreate(savedInstanceState);
super.onCreate(savedInstanceState);
}
@Override
protected void onPostCreate(Bundle savedInstanceState) {
super.onPostCreate(savedInstanceState);
getDelegate().onPostCreate(savedInstanceState);
}
public ActionBar getSupportActionBar() {
return getDelegate().getSupportActionBar();
}
public void setSupportActionBar(@Nullable Toolbar toolbar) {
getDelegate().setSupportActionBar(toolbar);
}
@Override
public MenuInflater getMenuInflater() {
return getDelegate().getMenuInflater();
}
@Override
public void setContentView(@LayoutRes int layoutResID) {
getDelegate().setContentView(layoutResID);
}
@Override
public void setContentView(View view) {
getDelegate().setContentView(view);
}
@Override
public void setContentView(View view, ViewGroup.LayoutParams params) {
getDelegate().setContentView(view, params);
}
@Override
public void addContentView(View view, ViewGroup.LayoutParams params) {
getDelegate().addContentView(view, params);
}
@Override
protected void onPostResume() {
super.onPostResume();
getDelegate().onPostResume();
}
@Override
protected void onTitleChanged(CharSequence title, int color) {
super.onTitleChanged(title, color);
getDelegate().setTitle(title);
}
@Override
public void onConfigurationChanged(Configuration newConfig) {
super.onConfigurationChanged(newConfig);
getDelegate().onConfigurationChanged(newConfig);
}
@Override
protected void onStop() {
super.onStop();
getDelegate().onStop();
}
@Override
protected void onDestroy() {
super.onDestroy();
getDelegate().onDestroy();
}
public void invalidateOptionsMenu() {
getDelegate().invalidateOptionsMenu();
}
private AppCompatDelegate getDelegate() {
if (mDelegate == null) {
mDelegate = AppCompatDelegate.create(this, null);
}
return mDelegate;
}
}
deploy/android_demo/app/src/main/java/com/baidu/paddle/lite/demo/ocr/MainActivity.java 0 → 100644
View file @ 17edc892
package com.baidu.paddle.lite.demo.ocr;
import android.Manifest;
import android.app.ProgressDialog;
import android.content.ContentResolver;
import android.content.Intent;
import android.content.SharedPreferences;
import android.content.pm.PackageManager;
import android.database.Cursor;
import android.graphics.Bitmap;
import android.graphics.BitmapFactory;
import android.net.Uri;
import android.os.Bundle;
import android.os.Handler;
import android.os.HandlerThread;
import android.os.Message;
import android.preference.PreferenceManager;
import android.provider.MediaStore;
import android.support.annotation.NonNull;
import android.support.v4.app.ActivityCompat;
import android.support.v4.content.ContextCompat;
import android.support.v7.app.AppCompatActivity;
import android.text.method.ScrollingMovementMethod;
import android.util.Log;
import android.view.Menu;
import android.view.MenuInflater;
import android.view.MenuItem;
import android.widget.ImageView;
import android.widget.TextView;
import android.widget.Toast;
import java.io.File;
import java.io.IOException;
import java.io.InputStream;
public class MainActivity extends AppCompatActivity {
private static final String TAG = MainActivity.class.getSimpleName();
public static final int OPEN_GALLERY_REQUEST_CODE = 0;
public static final int TAKE_PHOTO_REQUEST_CODE = 1;
public static final int REQUEST_LOAD_MODEL = 0;
public static final int REQUEST_RUN_MODEL = 1;
public static final int RESPONSE_LOAD_MODEL_SUCCESSED = 0;
public static final int RESPONSE_LOAD_MODEL_FAILED = 1;
public static final int RESPONSE_RUN_MODEL_SUCCESSED = 2;
public static final int RESPONSE_RUN_MODEL_FAILED = 3;
protected ProgressDialog pbLoadModel = null;
protected ProgressDialog pbRunModel = null;
protected Handler receiver = null; // Receive messages from worker thread
protected Handler sender = null; // Send command to worker thread
protected HandlerThread worker = null; // Worker thread to load&run model
// UI components of object detection
protected TextView tvInputSetting;
protected ImageView ivInputImage;
protected TextView tvOutputResult;
protected TextView tvInferenceTime;
// Model settings of object detection
protected String modelPath = "";
protected String labelPath = "";
protected String imagePath = "";
protected int cpuThreadNum = 1;
protected String cpuPowerMode = "";
protected String inputColorFormat = "";
protected long[] inputShape = new long[]{};
protected float[] inputMean = new float[]{};
protected float[] inputStd = new float[]{};
protected float scoreThreshold = 0.1f;
protected Predictor predictor = new Predictor();
@Override
protected void onCreate(Bundle savedInstanceState) {
super.onCreate(savedInstanceState);
setContentView(R.layout.activity_main);
// Clear all setting items to avoid app crashing due to the incorrect settings
SharedPreferences sharedPreferences = PreferenceManager.getDefaultSharedPreferences(this);
SharedPreferences.Editor editor = sharedPreferences.edit();
editor.clear();
editor.commit();
// Prepare the worker thread for mode loading and inference
receiver = new Handler() {
@Override
public void handleMessage(Message msg) {
switch (msg.what) {
case RESPONSE_LOAD_MODEL_SUCCESSED:
pbLoadModel.dismiss();
onLoadModelSuccessed();
break;
case RESPONSE_LOAD_MODEL_FAILED:
pbLoadModel.dismiss();
Toast.makeText(MainActivity.this, "Load model failed!", Toast.LENGTH_SHORT).show();
onLoadModelFailed();
break;
case RESPONSE_RUN_MODEL_SUCCESSED:
pbRunModel.dismiss();
onRunModelSuccessed();
break;
case RESPONSE_RUN_MODEL_FAILED:
pbRunModel.dismiss();
Toast.makeText(MainActivity.this, "Run model failed!", Toast.LENGTH_SHORT).show();
onRunModelFailed();
break;
default:
break;
}
}
};
worker = new HandlerThread("Predictor Worker");
worker.start();
sender = new Handler(worker.getLooper()) {
public void handleMessage(Message msg) {
switch (msg.what) {
case REQUEST_LOAD_MODEL:
// Load model and reload test image
if (onLoadModel()) {
receiver.sendEmptyMessage(RESPONSE_LOAD_MODEL_SUCCESSED);
} else {
receiver.sendEmptyMessage(RESPONSE_LOAD_MODEL_FAILED);
}
break;
case REQUEST_RUN_MODEL:
// Run model if model is loaded
if (onRunModel()) {
receiver.sendEmptyMessage(RESPONSE_RUN_MODEL_SUCCESSED);
} else {
receiver.sendEmptyMessage(RESPONSE_RUN_MODEL_FAILED);
}
break;
default:
break;
}
}
};
// Setup the UI components
tvInputSetting = findViewById(R.id.tv_input_setting);
ivInputImage = findViewById(R.id.iv_input_image);
tvInferenceTime = findViewById(R.id.tv_inference_time);
tvOutputResult = findViewById(R.id.tv_output_result);
tvInputSetting.setMovementMethod(ScrollingMovementMethod.getInstance());
tvOutputResult.setMovementMethod(ScrollingMovementMethod.getInstance());
}
@Override
protected void onResume() {
super.onResume();
SharedPreferences sharedPreferences = PreferenceManager.getDefaultSharedPreferences(this);
boolean settingsChanged = false;
String model_path = sharedPreferences.getString(getString(R.string.MODEL_PATH_KEY),
getString(R.string.MODEL_PATH_DEFAULT));
String label_path = sharedPreferences.getString(getString(R.string.LABEL_PATH_KEY),
getString(R.string.LABEL_PATH_DEFAULT));
String image_path = sharedPreferences.getString(getString(R.string.IMAGE_PATH_KEY),
getString(R.string.IMAGE_PATH_DEFAULT));
settingsChanged |= !model_path.equalsIgnoreCase(modelPath);
settingsChanged |= !label_path.equalsIgnoreCase(labelPath);
settingsChanged |= !image_path.equalsIgnoreCase(imagePath);
int cpu_thread_num = Integer.parseInt(sharedPreferences.getString(getString(R.string.CPU_THREAD_NUM_KEY),
getString(R.string.CPU_THREAD_NUM_DEFAULT)));
settingsChanged |= cpu_thread_num != cpuThreadNum;
String cpu_power_mode =
sharedPreferences.getString(getString(R.string.CPU_POWER_MODE_KEY),
getString(R.string.CPU_POWER_MODE_DEFAULT));
settingsChanged |= !cpu_power_mode.equalsIgnoreCase(cpuPowerMode);
String input_color_format =
sharedPreferences.getString(getString(R.string.INPUT_COLOR_FORMAT_KEY),
getString(R.string.INPUT_COLOR_FORMAT_DEFAULT));
settingsChanged |= !input_color_format.equalsIgnoreCase(inputColorFormat);
long[] input_shape =
Utils.parseLongsFromString(sharedPreferences.getString(getString(R.string.INPUT_SHAPE_KEY),
getString(R.string.INPUT_SHAPE_DEFAULT)), ",");
float[] input_mean =
Utils.parseFloatsFromString(sharedPreferences.getString(getString(R.string.INPUT_MEAN_KEY),
getString(R.string.INPUT_MEAN_DEFAULT)), ",");
float[] input_std =
Utils.parseFloatsFromString(sharedPreferences.getString(getString(R.string.INPUT_STD_KEY)
, getString(R.string.INPUT_STD_DEFAULT)), ",");
settingsChanged |= input_shape.length != inputShape.length;
settingsChanged |= input_mean.length != inputMean.length;
settingsChanged |= input_std.length != inputStd.length;
if (!settingsChanged) {
for (int i = 0; i < input_shape.length; i++) {
settingsChanged |= input_shape[i] != inputShape[i];
}
for (int i = 0; i < input_mean.length; i++) {
settingsChanged |= input_mean[i] != inputMean[i];
}
for (int i = 0; i < input_std.length; i++) {
settingsChanged |= input_std[i] != inputStd[i];
}
}
float score_threshold =
Float.parseFloat(sharedPreferences.getString(getString(R.string.SCORE_THRESHOLD_KEY),
getString(R.string.SCORE_THRESHOLD_DEFAULT)));
settingsChanged |= scoreThreshold != score_threshold;
if (settingsChanged) {
modelPath = model_path;
labelPath = label_path;
imagePath = image_path;
cpuThreadNum = cpu_thread_num;
cpuPowerMode = cpu_power_mode;
inputColorFormat = input_color_format;
inputShape = input_shape;
inputMean = input_mean;
inputStd = input_std;
scoreThreshold = score_threshold;
// Update UI
tvInputSetting.setText("Model: " + modelPath.substring(modelPath.lastIndexOf("/") + 1) + "\n" + "CPU" +
" Thread Num: " + Integer.toString(cpuThreadNum) + "\n" + "CPU Power Mode: " + cpuPowerMode);
tvInputSetting.scrollTo(0, 0);
// Reload model if configure has been changed
loadModel();
}
}
public void loadModel() {
pbLoadModel = ProgressDialog.show(this, "", "Loading model...", false, false);
sender.sendEmptyMessage(REQUEST_LOAD_MODEL);
}
public void runModel() {
pbRunModel = ProgressDialog.show(this, "", "Running model...", false, false);
sender.sendEmptyMessage(REQUEST_RUN_MODEL);
}
public boolean onLoadModel() {
return predictor.init(MainActivity.this, modelPath, labelPath, cpuThreadNum,
cpuPowerMode,
inputColorFormat,
inputShape, inputMean,
inputStd, scoreThreshold);
}
public boolean onRunModel() {
return predictor.isLoaded() && predictor.runModel();
}
public void onLoadModelSuccessed() {
// Load test image from path and run model
try {
if (imagePath.isEmpty()) {
return;
}
Bitmap image = null;
// Read test image file from custom path if the first character of mode path is '/', otherwise read test
// image file from assets
if (!imagePath.substring(0, 1).equals("/")) {
InputStream imageStream = getAssets().open(imagePath);
image = BitmapFactory.decodeStream(imageStream);
} else {
if (!new File(imagePath).exists()) {
return;
}
image = BitmapFactory.decodeFile(imagePath);
}
if (image != null && predictor.isLoaded()) {
predictor.setInputImage(image);
runModel();
}
} catch (IOException e) {
Toast.makeText(MainActivity.this, "Load image failed!", Toast.LENGTH_SHORT).show();
e.printStackTrace();
}
}
public void onLoadModelFailed() {
}
public void onRunModelSuccessed() {
// Obtain results and update UI
tvInferenceTime.setText("Inference time: " + predictor.inferenceTime() + " ms");
Bitmap outputImage = predictor.outputImage();
if (outputImage != null) {
ivInputImage.setImageBitmap(outputImage);
}
tvOutputResult.setText(predictor.outputResult());
tvOutputResult.scrollTo(0, 0);
}
public void onRunModelFailed() {
}
public void onImageChanged(Bitmap image) {
// Rerun model if users pick test image from gallery or camera
if (image != null && predictor.isLoaded()) {
predictor.setInputImage(image);
runModel();
}
}
public void onSettingsClicked() {
startActivity(new Intent(MainActivity.this, SettingsActivity.class));
}
@Override
public boolean onCreateOptionsMenu(Menu menu) {
MenuInflater inflater = getMenuInflater();
inflater.inflate(R.menu.menu_action_options, menu);
return true;
}
public boolean onPrepareOptionsMenu(Menu menu) {
boolean isLoaded = predictor.isLoaded();
menu.findItem(R.id.open_gallery).setEnabled(isLoaded);
menu.findItem(R.id.take_photo).setEnabled(isLoaded);
return super.onPrepareOptionsMenu(menu);
}
@Override
public boolean onOptionsItemSelected(MenuItem item) {
switch (item.getItemId()) {
case android.R.id.home:
finish();
break;
case R.id.open_gallery:
if (requestAllPermissions()) {
openGallery();
}
break;
case R.id.take_photo:
if (requestAllPermissions()) {
takePhoto();
}
break;
case R.id.settings:
if (requestAllPermissions()) {
// Make sure we have SDCard r&w permissions to load model from SDCard
onSettingsClicked();
}
break;
}
return super.onOptionsItemSelected(item);
}
@Override
public void onRequestPermissionsResult(int requestCode, @NonNull String[] permissions,
@NonNull int[] grantResults) {
super.onRequestPermissionsResult(requestCode, permissions, grantResults);
if (grantResults[0] != PackageManager.PERMISSION_GRANTED || grantResults[1] != PackageManager.PERMISSION_GRANTED) {
Toast.makeText(this, "Permission Denied", Toast.LENGTH_SHORT).show();
}
}
private boolean requestAllPermissions() {
if (ContextCompat.checkSelfPermission(this, Manifest.permission.WRITE_EXTERNAL_STORAGE)
!= PackageManager.PERMISSION_GRANTED || ContextCompat.checkSelfPermission(this,
Manifest.permission.CAMERA)
!= PackageManager.PERMISSION_GRANTED) {
ActivityCompat.requestPermissions(this, new String[]{Manifest.permission.WRITE_EXTERNAL_STORAGE,
Manifest.permission.CAMERA},
0);
return false;
}
return true;
}
private void openGallery() {
Intent intent = new Intent(Intent.ACTION_PICK, null);
intent.setDataAndType(MediaStore.Images.Media.EXTERNAL_CONTENT_URI, "image/*");
startActivityForResult(intent, OPEN_GALLERY_REQUEST_CODE);
}
private void takePhoto() {
Intent takePhotoIntent = new Intent(MediaStore.ACTION_IMAGE_CAPTURE);
if (takePhotoIntent.resolveActivity(getPackageManager()) != null) {
startActivityForResult(takePhotoIntent, TAKE_PHOTO_REQUEST_CODE);
}
}
@Override
protected void onActivityResult(int requestCode, int resultCode, Intent data) {
super.onActivityResult(requestCode, resultCode, data);
if (resultCode == RESULT_OK && data != null) {
switch (requestCode) {
case OPEN_GALLERY_REQUEST_CODE:
try {
ContentResolver resolver = getContentResolver();
Uri uri = data.getData();
Bitmap image = MediaStore.Images.Media.getBitmap(resolver, uri);
String[] proj = {MediaStore.Images.Media.DATA};
Cursor cursor = managedQuery(uri, proj, null, null, null);
cursor.moveToFirst();
onImageChanged(image);
} catch (IOException e) {
Log.e(TAG, e.toString());
}
break;
case TAKE_PHOTO_REQUEST_CODE:
Bundle extras = data.getExtras();
Bitmap image = (Bitmap) extras.get("data");
onImageChanged(image);
break;
default:
break;
}
}
}
@Override
protected void onDestroy() {
if (predictor != null) {
predictor.releaseModel();
}
worker.quit();
super.onDestroy();
}
}
deploy/android_demo/app/src/main/java/com/baidu/paddle/lite/demo/ocr/OCRPredictorNative.java 0 → 100644
View file @ 17edc892
package com.baidu.paddle.lite.demo.ocr;
import android.graphics.Bitmap;
import android.util.Log;
import java.util.ArrayList;
import java.util.concurrent.atomic.AtomicBoolean;
public class OCRPredictorNative {
private static final AtomicBoolean isSOLoaded = new AtomicBoolean();
public static void loadLibrary() throws RuntimeException {
if (!isSOLoaded.get() && isSOLoaded.compareAndSet(false, true)) {
try {
System.loadLibrary("Native");
} catch (Throwable e) {
RuntimeException exception = new RuntimeException(
"Load libNative.so failed, please check it exists in apk file.", e);
throw exception;
}
}
}
private Config config;
private long nativePointer = 0;
public OCRPredictorNative(Config config) {
this.config = config;
loadLibrary();
nativePointer = init(config.detModelFilename, config.recModelFilename,
config.cpuThreadNum, config.cpuPower);
Log.i("OCRPredictorNative", "load success " + nativePointer);
}
public void release(){
if (nativePointer != 0){
nativePointer = 0;
destory(nativePointer);
}
}
public ArrayList<OcrResultModel> runImage(float[] inputData, int width, int height, int channels, Bitmap originalImage) {
Log.i("OCRPredictorNative", "begin to run image " + inputData.length + " " + width + " " + height);
float[] dims = new float[]{1, channels, height, width};
float[] rawResults = forward(nativePointer, inputData, dims, originalImage);
ArrayList<OcrResultModel> results = postprocess(rawResults);
return results;
}
public static class Config {
public int cpuThreadNum;
public String cpuPower;
public String detModelFilename;
public String recModelFilename;
}
protected native long init(String detModelPath, String recModelPath, int threadNum, String cpuMode);
protected native float[] forward(long pointer, float[] buf, float[] ddims, Bitmap originalImage);
protected native void destory(long pointer);
private ArrayList<OcrResultModel> postprocess(float[] raw) {
ArrayList<OcrResultModel> results = new ArrayList<OcrResultModel>();
int begin = 0;
while (begin < raw.length) {
int point_num = Math.round(raw[begin]);
int word_num = Math.round(raw[begin + 1]);
OcrResultModel model = parse(raw, begin + 2, point_num, word_num);
begin += 2 + 1 + point_num * 2 + word_num;
results.add(model);
}
return results;
}
private OcrResultModel parse(float[] raw, int begin, int pointNum, int wordNum) {
int current = begin;
OcrResultModel model = new OcrResultModel();
model.setConfidence(raw[current]);
current++;
for (int i = 0; i < pointNum; i++) {
model.addPoints(Math.round(raw[current + i * 2]), Math.round(raw[current + i * 2 + 1]));
}
current += (pointNum * 2);
for (int i = 0; i < wordNum; i++) {
int index = Math.round(raw[current + i]);
model.addWordIndex(index);
}
Log.i("OCRPredictorNative", "word finished " + wordNum);
return model;
}
}
deploy/android_demo/app/src/main/java/com/baidu/paddle/lite/demo/ocr/OcrResultModel.java 0 → 100644
View file @ 17edc892
package com.baidu.paddle.lite.demo.ocr;
import android.graphics.Point;
import java.util.ArrayList;
import java.util.List;
public class OcrResultModel {
private List<Point> points;
private List<Integer> wordIndex;
private String label;
private float confidence;
public OcrResultModel() {
super();
points = new ArrayList<>();
wordIndex = new ArrayList<>();
}
public void addPoints(int x, int y) {
Point point = new Point(x, y);
points.add(point);
}
public void addWordIndex(int index) {
wordIndex.add(index);
}
public List<Point> getPoints() {
return points;
}
public List<Integer> getWordIndex() {
return wordIndex;
}
public String getLabel() {
return label;
}
public void setLabel(String label) {
this.label = label;
}
public float getConfidence() {
return confidence;
}
public void setConfidence(float confidence) {
this.confidence = confidence;
}
}
deploy/android_demo/app/src/main/java/com/baidu/paddle/lite/demo/ocr/Predictor.java 0 → 100644
View file @ 17edc892
package com.baidu.paddle.lite.demo.ocr;
import android.content.Context;
import android.graphics.Bitmap;
import android.graphics.Canvas;
import android.graphics.Color;
import android.graphics.Paint;
import android.graphics.Path;
import android.graphics.Point;
import android.util.Log;
import java.io.File;
import java.io.InputStream;
import java.util.ArrayList;
import java.util.Date;
import java.util.List;
import java.util.Vector;
import static android.graphics.Color.*;
public class Predictor {
private static final String TAG = Predictor.class.getSimpleName();
public boolean isLoaded = false;
public int warmupIterNum = 1;
public int inferIterNum = 1;
public int cpuThreadNum = 4;
public String cpuPowerMode = "LITE_POWER_HIGH";
public String modelPath = "";
public String modelName = "";
protected OCRPredictorNative paddlePredictor = null;
protected float inferenceTime = 0;
// Only for object detection
protected Vector<String> wordLabels = new Vector<String>();
protected String inputColorFormat = "BGR";
protected long[] inputShape = new long[]{1, 3, 960};
protected float[] inputMean = new float[]{0.485f, 0.456f, 0.406f};
protected float[] inputStd = new float[]{1.0f / 0.229f, 1.0f / 0.224f, 1.0f / 0.225f};
protected float scoreThreshold = 0.1f;
protected Bitmap inputImage = null;
protected Bitmap outputImage = null;
protected String outputResult = "";
protected float preprocessTime = 0;
protected float postprocessTime = 0;
public Predictor() {
}
public boolean init(Context appCtx, String modelPath, String labelPath, int cpuThreadNum, String cpuPowerMode,
String inputColorFormat,
long[] inputShape, float[] inputMean,
float[] inputStd, float scoreThreshold) {
if (inputShape.length != 3) {
Log.e(TAG, "Size of input shape should be: 3");
return false;
}
if (inputMean.length != inputShape[1]) {
Log.e(TAG, "Size of input mean should be: " + Long.toString(inputShape[1]));
return false;
}
if (inputStd.length != inputShape[1]) {
Log.e(TAG, "Size of input std should be: " + Long.toString(inputShape[1]));
return false;
}
if (inputShape[0] != 1) {
Log.e(TAG, "Only one batch is supported in the image classification demo, you can use any batch size in " +
"your Apps!");
return false;
}
if (inputShape[1] != 1 && inputShape[1] != 3) {
Log.e(TAG, "Only one/three channels are supported in the image classification demo, you can use any " +
"channel size in your Apps!");
return false;
}
if (!inputColorFormat.equalsIgnoreCase("BGR")) {
Log.e(TAG, "Only BGR color format is supported.");
return false;
}
isLoaded = loadModel(appCtx, modelPath, cpuThreadNum, cpuPowerMode);
if (!isLoaded) {
return false;
}
isLoaded = loadLabel(appCtx, labelPath);
if (!isLoaded) {
return false;
}
this.inputColorFormat = inputColorFormat;
this.inputShape = inputShape;
this.inputMean = inputMean;
this.inputStd = inputStd;
this.scoreThreshold = scoreThreshold;
return true;
}
protected boolean loadModel(Context appCtx, String modelPath, int cpuThreadNum, String cpuPowerMode) {
// Release model if exists
releaseModel();
// Load model
if (modelPath.isEmpty()) {
return false;
}
String realPath = modelPath;
if (!modelPath.substring(0, 1).equals("/")) {
// Read model files from custom path if the first character of mode path is '/'
// otherwise copy model to cache from assets
realPath = appCtx.getCacheDir() + "/" + modelPath;
Utils.copyDirectoryFromAssets(appCtx, modelPath, realPath);
}
if (realPath.isEmpty()) {
return false;
}
OCRPredictorNative.Config config = new OCRPredictorNative.Config();
config.cpuThreadNum = cpuThreadNum;
config.detModelFilename = realPath + File.separator + "ch_det_mv3_db_opt.nb";
config.recModelFilename = realPath + File.separator + "ch_rec_mv3_crnn_opt.nb";
Log.e("Predictor", "model path" + config.detModelFilename + " ; " + config.recModelFilename);
config.cpuPower = cpuPowerMode;
paddlePredictor = new OCRPredictorNative(config);
this.cpuThreadNum = cpuThreadNum;
this.cpuPowerMode = cpuPowerMode;
this.modelPath = realPath;
this.modelName = realPath.substring(realPath.lastIndexOf("/") + 1);
return true;
}
public void releaseModel() {
if (paddlePredictor != null){
paddlePredictor.release();
paddlePredictor = null;
}
isLoaded = false;
cpuThreadNum = 4;
cpuPowerMode = "LITE_POWER_HIGH";
modelPath = "";
modelName = "";
}
protected boolean loadLabel(Context appCtx, String labelPath) {
wordLabels.clear();
// Load word labels from file
try {
InputStream assetsInputStream = appCtx.getAssets().open(labelPath);
int available = assetsInputStream.available();
byte[] lines = new byte[available];
assetsInputStream.read(lines);
assetsInputStream.close();
String words = new String(lines);
String[] contents = words.split("\n");
for (String content : contents) {
wordLabels.add(content);
}
Log.i(TAG, "Word label size: " + wordLabels.size());
} catch (Exception e) {
Log.e(TAG, e.getMessage());
return false;
}
return true;
}
public boolean runModel() {
if (inputImage == null || !isLoaded()) {
return false;
}
// Pre-process image, and feed input tensor with pre-processed data
Bitmap scaleImage = Utils.resizeWithStep(inputImage, Long.valueOf(inputShape[2]).intValue(), 32);
Date start = new Date();
int channels = (int) inputShape[1];
int width = scaleImage.getWidth();
int height = scaleImage.getHeight();
float[] inputData = new float[channels * width * height];
if (channels == 3) {
int[] channelIdx = null;
if (inputColorFormat.equalsIgnoreCase("RGB")) {
channelIdx = new int[]{0, 1, 2};
} else if (inputColorFormat.equalsIgnoreCase("BGR")) {
channelIdx = new int[]{2, 1, 0};
} else {
Log.i(TAG, "Unknown color format " + inputColorFormat + ", only RGB and BGR color format is " +
"supported!");
return false;
}
int[] channelStride = new int[]{width * height, width * height * 2};
int p = scaleImage.getPixel(scaleImage.getWidth() - 1, scaleImage.getHeight() - 1);
for (int y = 0; y < height; y++) {
for (int x = 0; x < width; x++) {
int color = scaleImage.getPixel(x, y);
float[] rgb = new float[]{(float) red(color) / 255.0f, (float) green(color) / 255.0f,
(float) blue(color) / 255.0f};
inputData[y * width + x] = (rgb[channelIdx[0]] - inputMean[0]) / inputStd[0];
inputData[y * width + x + channelStride[0]] = (rgb[channelIdx[1]] - inputMean[1]) / inputStd[1];
inputData[y * width + x + channelStride[1]] = (rgb[channelIdx[2]] - inputMean[2]) / inputStd[2];
}
}
} else if (channels == 1) {
for (int y = 0; y < height; y++) {
for (int x = 0; x < width; x++) {
int color = inputImage.getPixel(x, y);
float gray = (float) (red(color) + green(color) + blue(color)) / 3.0f / 255.0f;
inputData[y * width + x] = (gray - inputMean[0]) / inputStd[0];
}
}
} else {
Log.i(TAG, "Unsupported channel size " + Integer.toString(channels) + ", only channel 1 and 3 is " +
"supported!");
return false;
}
float[] pixels = inputData;
Log.i(TAG, "pixels " + pixels[0] + " " + pixels[1] + " " + pixels[2] + " " + pixels[3]
+ " " + pixels[pixels.length / 2] + " " + pixels[pixels.length / 2 + 1] + " " + pixels[pixels.length - 2] + " " + pixels[pixels.length - 1]);
Date end = new Date();
preprocessTime = (float) (end.getTime() - start.getTime());
// Warm up
for (int i = 0; i < warmupIterNum; i++) {
paddlePredictor.runImage(inputData, width, height, channels, inputImage);
}
warmupIterNum = 0; // 之后不要再warm了
// Run inference
start = new Date();
ArrayList<OcrResultModel> results = paddlePredictor.runImage(inputData, width, height, channels, inputImage);
end = new Date();
inferenceTime = (end.getTime() - start.getTime()) / (float) inferIterNum;
results = postprocess(results);
Log.i(TAG, "[stat] Preprocess Time: " + preprocessTime
+ " ; Inference Time: " + inferenceTime + " ;Box Size " + results.size());
drawResults(results);
return true;
}
public boolean isLoaded() {
return paddlePredictor != null && isLoaded;
}
public String modelPath() {
return modelPath;
}
public String modelName() {
return modelName;
}
public int cpuThreadNum() {
return cpuThreadNum;
}
public String cpuPowerMode() {
return cpuPowerMode;
}
public float inferenceTime() {
return inferenceTime;
}
public Bitmap inputImage() {
return inputImage;
}
public Bitmap outputImage() {
return outputImage;
}
public String outputResult() {
return outputResult;
}
public float preprocessTime() {
return preprocessTime;
}
public float postprocessTime() {
return postprocessTime;
}
public void setInputImage(Bitmap image) {
if (image == null) {
return;
}
// Scale image to the size of input tensor
Bitmap rgbaImage = image.copy(Bitmap.Config.ARGB_8888, true);
this.inputImage = rgbaImage;
}
private ArrayList<OcrResultModel> postprocess(ArrayList<OcrResultModel> results) {
for (OcrResultModel r : results) {
StringBuffer word = new StringBuffer();
for (int index : r.getWordIndex()) {
if (index >= 0 && index < wordLabels.size()) {
word.append(wordLabels.get(index));
} else {
Log.e(TAG, "Word index is not in label list:" + index);
word.append("×");
}
}
r.setLabel(word.toString());
}
return results;
}
private void drawResults(ArrayList<OcrResultModel> results) {
StringBuffer outputResultSb = new StringBuffer("");
for (int i=0;i<results.size();i++) {
OcrResultModel result = results.get(i);
StringBuilder sb = new StringBuilder("");
sb.append(result.getLabel());
sb.append(" ").append(result.getConfidence());
sb.append("; Points: ");
for (Point p : result.getPoints()) {
sb.append("(").append(p.x).append(",").append(p.y).append(") ");
}
Log.i(TAG, sb.toString());
outputResultSb.append(i+1).append(": ").append(result.getLabel()).append("\n");
}
outputResult = outputResultSb.toString();
outputImage = inputImage;
Canvas canvas = new Canvas(outputImage);
Paint paintFillAlpha = new Paint();
paintFillAlpha.setStyle(Paint.Style.FILL);
paintFillAlpha.setColor(Color.parseColor("#3B85F5"));
paintFillAlpha.setAlpha(50);
Paint paint = new Paint();
paint.setColor(Color.parseColor("#3B85F5"));
paint.setStrokeWidth(5);
paint.setStyle(Paint.Style.STROKE);
for (OcrResultModel result : results) {
Path path = new Path();
List<Point> points = result.getPoints();
path.moveTo(points.get(0).x, points.get(0).y);
for (int i = points.size() - 1; i >= 0; i--) {
Point p = points.get(i);
path.lineTo(p.x, p.y);
}
canvas.drawPath(path, paint);
canvas.drawPath(path, paintFillAlpha);
}
}
}
deploy/android_demo/app/src/main/java/com/baidu/paddle/lite/demo/ocr/SettingsActivity.java 0 → 100644
View file @ 17edc892
package com.baidu.paddle.lite.demo.ocr;
import android.content.SharedPreferences;
import android.os.Bundle;
import android.preference.CheckBoxPreference;
import android.preference.EditTextPreference;
import android.preference.ListPreference;
import android.support.v7.app.ActionBar;
import java.util.ArrayList;
import java.util.List;
public class SettingsActivity extends AppCompatPreferenceActivity implements SharedPreferences.OnSharedPreferenceChangeListener {
ListPreference lpChoosePreInstalledModel = null;
CheckBoxPreference cbEnableCustomSettings = null;
EditTextPreference etModelPath = null;
EditTextPreference etLabelPath = null;
EditTextPreference etImagePath = null;
ListPreference lpCPUThreadNum = null;
ListPreference lpCPUPowerMode = null;
ListPreference lpInputColorFormat = null;
EditTextPreference etInputShape = null;
EditTextPreference etInputMean = null;
EditTextPreference etInputStd = null;
EditTextPreference etScoreThreshold = null;
List<String> preInstalledModelPaths = null;
List<String> preInstalledLabelPaths = null;
List<String> preInstalledImagePaths = null;
List<String> preInstalledInputShapes = null;
List<String> preInstalledCPUThreadNums = null;
List<String> preInstalledCPUPowerModes = null;
List<String> preInstalledInputColorFormats = null;
List<String> preInstalledInputMeans = null;
List<String> preInstalledInputStds = null;
List<String> preInstalledScoreThresholds = null;
@Override
public void onCreate(Bundle savedInstanceState) {
super.onCreate(savedInstanceState);
addPreferencesFromResource(R.xml.settings);
ActionBar supportActionBar = getSupportActionBar();
if (supportActionBar != null) {
supportActionBar.setDisplayHomeAsUpEnabled(true);
}
// Initialized pre-installed models
preInstalledModelPaths = new ArrayList<String>();
preInstalledLabelPaths = new ArrayList<String>();
preInstalledImagePaths = new ArrayList<String>();
preInstalledInputShapes = new ArrayList<String>();
preInstalledCPUThreadNums = new ArrayList<String>();
preInstalledCPUPowerModes = new ArrayList<String>();
preInstalledInputColorFormats = new ArrayList<String>();
preInstalledInputMeans = new ArrayList<String>();
preInstalledInputStds = new ArrayList<String>();
preInstalledScoreThresholds = new ArrayList<String>();
// Add ssd_mobilenet_v1_pascalvoc_for_cpu
preInstalledModelPaths.add(getString(R.string.MODEL_PATH_DEFAULT));
preInstalledLabelPaths.add(getString(R.string.LABEL_PATH_DEFAULT));
preInstalledImagePaths.add(getString(R.string.IMAGE_PATH_DEFAULT));
preInstalledCPUThreadNums.add(getString(R.string.CPU_THREAD_NUM_DEFAULT));
preInstalledCPUPowerModes.add(getString(R.string.CPU_POWER_MODE_DEFAULT));
preInstalledInputColorFormats.add(getString(R.string.INPUT_COLOR_FORMAT_DEFAULT));
preInstalledInputShapes.add(getString(R.string.INPUT_SHAPE_DEFAULT));
preInstalledInputMeans.add(getString(R.string.INPUT_MEAN_DEFAULT));
preInstalledInputStds.add(getString(R.string.INPUT_STD_DEFAULT));
preInstalledScoreThresholds.add(getString(R.string.SCORE_THRESHOLD_DEFAULT));
// Setup UI components
lpChoosePreInstalledModel =
(ListPreference) findPreference(getString(R.string.CHOOSE_PRE_INSTALLED_MODEL_KEY));
String[] preInstalledModelNames = new String[preInstalledModelPaths.size()];
for (int i = 0; i < preInstalledModelPaths.size(); i++) {
preInstalledModelNames[i] =
preInstalledModelPaths.get(i).substring(preInstalledModelPaths.get(i).lastIndexOf("/") + 1);
}
lpChoosePreInstalledModel.setEntries(preInstalledModelNames);
lpChoosePreInstalledModel.setEntryValues(preInstalledModelPaths.toArray(new String[preInstalledModelPaths.size()]));
cbEnableCustomSettings =
(CheckBoxPreference) findPreference(getString(R.string.ENABLE_CUSTOM_SETTINGS_KEY));
etModelPath = (EditTextPreference) findPreference(getString(R.string.MODEL_PATH_KEY));
etModelPath.setTitle("Model Path (SDCard: " + Utils.getSDCardDirectory() + ")");
etLabelPath = (EditTextPreference) findPreference(getString(R.string.LABEL_PATH_KEY));
etImagePath = (EditTextPreference) findPreference(getString(R.string.IMAGE_PATH_KEY));
lpCPUThreadNum =
(ListPreference) findPreference(getString(R.string.CPU_THREAD_NUM_KEY));
lpCPUPowerMode =
(ListPreference) findPreference(getString(R.string.CPU_POWER_MODE_KEY));
lpInputColorFormat =
(ListPreference) findPreference(getString(R.string.INPUT_COLOR_FORMAT_KEY));
etInputShape = (EditTextPreference) findPreference(getString(R.string.INPUT_SHAPE_KEY));
etInputMean = (EditTextPreference) findPreference(getString(R.string.INPUT_MEAN_KEY));
etInputStd = (EditTextPreference) findPreference(getString(R.string.INPUT_STD_KEY));
etScoreThreshold = (EditTextPreference) findPreference(getString(R.string.SCORE_THRESHOLD_KEY));
}
private void reloadPreferenceAndUpdateUI() {
SharedPreferences sharedPreferences = getPreferenceScreen().getSharedPreferences();
boolean enableCustomSettings =
sharedPreferences.getBoolean(getString(R.string.ENABLE_CUSTOM_SETTINGS_KEY), false);
String modelPath = sharedPreferences.getString(getString(R.string.CHOOSE_PRE_INSTALLED_MODEL_KEY),
getString(R.string.MODEL_PATH_DEFAULT));
int modelIdx = lpChoosePreInstalledModel.findIndexOfValue(modelPath);
if (modelIdx >= 0 && modelIdx < preInstalledModelPaths.size()) {
if (!enableCustomSettings) {
SharedPreferences.Editor editor = sharedPreferences.edit();
editor.putString(getString(R.string.MODEL_PATH_KEY), preInstalledModelPaths.get(modelIdx));
editor.putString(getString(R.string.LABEL_PATH_KEY), preInstalledLabelPaths.get(modelIdx));
editor.putString(getString(R.string.IMAGE_PATH_KEY), preInstalledImagePaths.get(modelIdx));
editor.putString(getString(R.string.CPU_THREAD_NUM_KEY), preInstalledCPUThreadNums.get(modelIdx));
editor.putString(getString(R.string.CPU_POWER_MODE_KEY), preInstalledCPUPowerModes.get(modelIdx));
editor.putString(getString(R.string.INPUT_COLOR_FORMAT_KEY),
preInstalledInputColorFormats.get(modelIdx));
editor.putString(getString(R.string.INPUT_SHAPE_KEY), preInstalledInputShapes.get(modelIdx));
editor.putString(getString(R.string.INPUT_MEAN_KEY), preInstalledInputMeans.get(modelIdx));
editor.putString(getString(R.string.INPUT_STD_KEY), preInstalledInputStds.get(modelIdx));
editor.putString(getString(R.string.SCORE_THRESHOLD_KEY),
preInstalledScoreThresholds.get(modelIdx));
editor.commit();
}
lpChoosePreInstalledModel.setSummary(modelPath);
}
cbEnableCustomSettings.setChecked(enableCustomSettings);
etModelPath.setEnabled(enableCustomSettings);
etLabelPath.setEnabled(enableCustomSettings);
etImagePath.setEnabled(enableCustomSettings);
lpCPUThreadNum.setEnabled(enableCustomSettings);
lpCPUPowerMode.setEnabled(enableCustomSettings);
lpInputColorFormat.setEnabled(enableCustomSettings);
etInputShape.setEnabled(enableCustomSettings);
etInputMean.setEnabled(enableCustomSettings);
etInputStd.setEnabled(enableCustomSettings);
etScoreThreshold.setEnabled(enableCustomSettings);
modelPath = sharedPreferences.getString(getString(R.string.MODEL_PATH_KEY),
getString(R.string.MODEL_PATH_DEFAULT));
String labelPath = sharedPreferences.getString(getString(R.string.LABEL_PATH_KEY),
getString(R.string.LABEL_PATH_DEFAULT));
String imagePath = sharedPreferences.getString(getString(R.string.IMAGE_PATH_KEY),
getString(R.string.IMAGE_PATH_DEFAULT));
String cpuThreadNum = sharedPreferences.getString(getString(R.string.CPU_THREAD_NUM_KEY),
getString(R.string.CPU_THREAD_NUM_DEFAULT));
String cpuPowerMode = sharedPreferences.getString(getString(R.string.CPU_POWER_MODE_KEY),
getString(R.string.CPU_POWER_MODE_DEFAULT));
String inputColorFormat = sharedPreferences.getString(getString(R.string.INPUT_COLOR_FORMAT_KEY),
getString(R.string.INPUT_COLOR_FORMAT_DEFAULT));
String inputShape = sharedPreferences.getString(getString(R.string.INPUT_SHAPE_KEY),
getString(R.string.INPUT_SHAPE_DEFAULT));
String inputMean = sharedPreferences.getString(getString(R.string.INPUT_MEAN_KEY),
getString(R.string.INPUT_MEAN_DEFAULT));
String inputStd = sharedPreferences.getString(getString(R.string.INPUT_STD_KEY),
getString(R.string.INPUT_STD_DEFAULT));
String scoreThreshold = sharedPreferences.getString(getString(R.string.SCORE_THRESHOLD_KEY),
getString(R.string.SCORE_THRESHOLD_DEFAULT));
etModelPath.setSummary(modelPath);
etModelPath.setText(modelPath);
etLabelPath.setSummary(labelPath);
etLabelPath.setText(labelPath);
etImagePath.setSummary(imagePath);
etImagePath.setText(imagePath);
lpCPUThreadNum.setValue(cpuThreadNum);
lpCPUThreadNum.setSummary(cpuThreadNum);
lpCPUPowerMode.setValue(cpuPowerMode);
lpCPUPowerMode.setSummary(cpuPowerMode);
lpInputColorFormat.setValue(inputColorFormat);
lpInputColorFormat.setSummary(inputColorFormat);
etInputShape.setSummary(inputShape);
etInputShape.setText(inputShape);
etInputMean.setSummary(inputMean);
etInputMean.setText(inputMean);
etInputStd.setSummary(inputStd);
etInputStd.setText(inputStd);
etScoreThreshold.setText(scoreThreshold);
etScoreThreshold.setSummary(scoreThreshold);
}
@Override
protected void onResume() {
super.onResume();
getPreferenceScreen().getSharedPreferences().registerOnSharedPreferenceChangeListener(this);
reloadPreferenceAndUpdateUI();
}
@Override
protected void onPause() {
super.onPause();
getPreferenceScreen().getSharedPreferences().unregisterOnSharedPreferenceChangeListener(this);
}
@Override
public void onSharedPreferenceChanged(SharedPreferences sharedPreferences, String key) {
if (key.equals(getString(R.string.CHOOSE_PRE_INSTALLED_MODEL_KEY))) {
SharedPreferences.Editor editor = sharedPreferences.edit();
editor.putBoolean(getString(R.string.ENABLE_CUSTOM_SETTINGS_KEY), false);
editor.commit();
}
reloadPreferenceAndUpdateUI();
}
}
deploy/android_demo/app/src/main/java/com/baidu/paddle/lite/demo/ocr/Utils.java 0 → 100644
View file @ 17edc892
package com.baidu.paddle.lite.demo.ocr;
import android.content.Context;
import android.graphics.Bitmap;
import android.os.Environment;
import java.io.*;
public class Utils {
private static final String TAG = Utils.class.getSimpleName();
public static void copyFileFromAssets(Context appCtx, String srcPath, String dstPath) {
if (srcPath.isEmpty() || dstPath.isEmpty()) {
return;
}
InputStream is = null;
OutputStream os = null;
try {
is = new BufferedInputStream(appCtx.getAssets().open(srcPath));
os = new BufferedOutputStream(new FileOutputStream(new File(dstPath)));
byte[] buffer = new byte[1024];
int length = 0;
while ((length = is.read(buffer)) != -1) {
os.write(buffer, 0, length);
}
} catch (FileNotFoundException e) {
e.printStackTrace();
} catch (IOException e) {
e.printStackTrace();
} finally {
try {
os.close();
is.close();
} catch (IOException e) {
e.printStackTrace();
}
}
}
public static void copyDirectoryFromAssets(Context appCtx, String srcDir, String dstDir) {
if (srcDir.isEmpty() || dstDir.isEmpty()) {
return;
}
try {
if (!new File(dstDir).exists()) {
new File(dstDir).mkdirs();
}
for (String fileName : appCtx.getAssets().list(srcDir)) {
String srcSubPath = srcDir + File.separator + fileName;
String dstSubPath = dstDir + File.separator + fileName;
if (new File(srcSubPath).isDirectory()) {
copyDirectoryFromAssets(appCtx, srcSubPath, dstSubPath);
} else {
copyFileFromAssets(appCtx, srcSubPath, dstSubPath);
}
}
} catch (Exception e) {
e.printStackTrace();
}
}
public static float[] parseFloatsFromString(String string, String delimiter) {
String[] pieces = string.trim().toLowerCase().split(delimiter);
float[] floats = new float[pieces.length];
for (int i = 0; i < pieces.length; i++) {
floats[i] = Float.parseFloat(pieces[i].trim());
}
return floats;
}
public static long[] parseLongsFromString(String string, String delimiter) {
String[] pieces = string.trim().toLowerCase().split(delimiter);
long[] longs = new long[pieces.length];
for (int i = 0; i < pieces.length; i++) {
longs[i] = Long.parseLong(pieces[i].trim());
}
return longs;
}
public static String getSDCardDirectory() {
return Environment.getExternalStorageDirectory().getAbsolutePath();
}
public static boolean isSupportedNPU() {
return false;
// String hardware = android.os.Build.HARDWARE;
// return hardware.equalsIgnoreCase("kirin810") || hardware.equalsIgnoreCase("kirin990");
}
public static Bitmap resizeWithStep(Bitmap bitmap, int maxLength, int step) {
int width = bitmap.getWidth();
int height = bitmap.getHeight();
int maxWH = Math.max(width, height);
float ratio = 1;
int newWidth = width;
int newHeight = height;
if (maxWH > maxLength) {
ratio = maxLength * 1.0f / maxWH;
newWidth = (int) Math.floor(ratio * width);
newHeight = (int) Math.floor(ratio * height);
}
newWidth = newWidth - newWidth % step;
if (newWidth == 0) {
newWidth = step;
}
newHeight = newHeight - newHeight % step;
if (newHeight == 0) {
newHeight = step;
}
return Bitmap.createScaledBitmap(bitmap, newWidth, newHeight, true);
}
}
deploy/android_demo/app/src/main/res/drawable-v24/ic_launcher_foreground.xml 0 → 100644
View file @ 17edc892
<vector xmlns:android="http://schemas.android.com/apk/res/android"
xmlns:aapt="http://schemas.android.com/aapt"
android:width="108dp"
android:height="108dp"
android:viewportWidth="108"
android:viewportHeight="108">
<path
android:fillType="evenOdd"
android:pathData="M32,64C32,64 38.39,52.99 44.13,50.95C51.37,48.37 70.14,49.57 70.14,49.57L108.26,87.69L108,109.01L75.97,107.97L32,64Z"
android:strokeWidth="1"
android:strokeColor="#00000000">
<aapt:attr name="android:fillColor">
<gradient
android:endX="78.5885"
android:endY="90.9159"
android:startX="48.7653"
android:startY="61.0927"
android:type="linear">
<item
android:color="#44000000"
android:offset="0.0" />
<item
android:color="#00000000"
android:offset="1.0" />
</gradient>
</aapt:attr>
</path>
<path
android:fillColor="#FFFFFF"
android:fillType="nonZero"
android:pathData="M66.94,46.02L66.94,46.02C72.44,50.07 76,56.61 76,64L32,64C32,56.61 35.56,50.11 40.98,46.06L36.18,41.19C35.45,40.45 35.45,39.3 36.18,38.56C36.91,37.81 38.05,37.81 38.78,38.56L44.25,44.05C47.18,42.57 50.48,41.71 54,41.71C57.48,41.71 60.78,42.57 63.68,44.05L69.11,38.56C69.84,37.81 70.98,37.81 71.71,38.56C72.44,39.3 72.44,40.45 71.71,41.19L66.94,46.02ZM62.94,56.92C64.08,56.92 65,56.01 65,54.88C65,53.76 64.08,52.85 62.94,52.85C61.8,52.85 60.88,53.76 60.88,54.88C60.88,56.01 61.8,56.92 62.94,56.92ZM45.06,56.92C46.2,56.92 47.13,56.01 47.13,54.88C47.13,53.76 46.2,52.85 45.06,52.85C43.92,52.85 43,53.76 43,54.88C43,56.01 43.92,56.92 45.06,56.92Z"
android:strokeWidth="1"
android:strokeColor="#00000000" />
</vector>
deploy/android_demo/app/src/main/res/drawable/ic_launcher_background.xml 0 → 100644
View file @ 17edc892
<?xml version="1.0" encoding="utf-8"?>
<vector xmlns:android="http://schemas.android.com/apk/res/android"
android:width="108dp"
android:height="108dp"
android:viewportWidth="108"
android:viewportHeight="108">
<path
android:fillColor="#008577"
android:pathData="M0,0h108v108h-108z" />
<path
android:fillColor="#00000000"
android:pathData="M9,0L9,108"
android:strokeWidth="0.8"
android:strokeColor="#33FFFFFF" />
<path
android:fillColor="#00000000"
android:pathData="M19,0L19,108"
android:strokeWidth="0.8"
android:strokeColor="#33FFFFFF" />
<path
android:fillColor="#00000000"
android:pathData="M29,0L29,108"
android:strokeWidth="0.8"
android:strokeColor="#33FFFFFF" />
<path
android:fillColor="#00000000"
android:pathData="M39,0L39,108"
android:strokeWidth="0.8"
android:strokeColor="#33FFFFFF" />
<path
android:fillColor="#00000000"
android:pathData="M49,0L49,108"
android:strokeWidth="0.8"
android:strokeColor="#33FFFFFF" />
<path
android:fillColor="#00000000"
android:pathData="M59,0L59,108"
android:strokeWidth="0.8"
android:strokeColor="#33FFFFFF" />
<path
android:fillColor="#00000000"
android:pathData="M69,0L69,108"
android:strokeWidth="0.8"
android:strokeColor="#33FFFFFF" />
<path
android:fillColor="#00000000"
android:pathData="M79,0L79,108"
android:strokeWidth="0.8"
android:strokeColor="#33FFFFFF" />
<path
android:fillColor="#00000000"
android:pathData="M89,0L89,108"
android:strokeWidth="0.8"
android:strokeColor="#33FFFFFF" />
<path
android:fillColor="#00000000"
android:pathData="M99,0L99,108"
android:strokeWidth="0.8"
android:strokeColor="#33FFFFFF" />
<path
android:fillColor="#00000000"
android:pathData="M0,9L108,9"
android:strokeWidth="0.8"
android:strokeColor="#33FFFFFF" />
<path
android:fillColor="#00000000"
android:pathData="M0,19L108,19"
android:strokeWidth="0.8"
android:strokeColor="#33FFFFFF" />
<path
android:fillColor="#00000000"
android:pathData="M0,29L108,29"
android:strokeWidth="0.8"
android:strokeColor="#33FFFFFF" />
<path
android:fillColor="#00000000"
android:pathData="M0,39L108,39"
android:strokeWidth="0.8"
android:strokeColor="#33FFFFFF" />
<path
android:fillColor="#00000000"
android:pathData="M0,49L108,49"
android:strokeWidth="0.8"
android:strokeColor="#33FFFFFF" />
<path
android:fillColor="#00000000"
android:pathData="M0,59L108,59"
android:strokeWidth="0.8"
android:strokeColor="#33FFFFFF" />
<path
android:fillColor="#00000000"
android:pathData="M0,69L108,69"
android:strokeWidth="0.8"
android:strokeColor="#33FFFFFF" />
<path
android:fillColor="#00000000"
android:pathData="M0,79L108,79"
android:strokeWidth="0.8"
android:strokeColor="#33FFFFFF" />
<path
android:fillColor="#00000000"
android:pathData="M0,89L108,89"
android:strokeWidth="0.8"
android:strokeColor="#33FFFFFF" />
<path
android:fillColor="#00000000"
android:pathData="M0,99L108,99"
android:strokeWidth="0.8"
android:strokeColor="#33FFFFFF" />
<path
android:fillColor="#00000000"
android:pathData="M19,29L89,29"
android:strokeWidth="0.8"
android:strokeColor="#33FFFFFF" />
<path
android:fillColor="#00000000"
android:pathData="M19,39L89,39"
android:strokeWidth="0.8"
android:strokeColor="#33FFFFFF" />
<path
android:fillColor="#00000000"
android:pathData="M19,49L89,49"
android:strokeWidth="0.8"
android:strokeColor="#33FFFFFF" />
<path
android:fillColor="#00000000"
android:pathData="M19,59L89,59"
android:strokeWidth="0.8"
android:strokeColor="#33FFFFFF" />
<path
android:fillColor="#00000000"
android:pathData="M19,69L89,69"
android:strokeWidth="0.8"
android:strokeColor="#33FFFFFF" />
<path
android:fillColor="#00000000"
android:pathData="M19,79L89,79"
android:strokeWidth="0.8"
android:strokeColor="#33FFFFFF" />
<path
android:fillColor="#00000000"
android:pathData="M29,19L29,89"
android:strokeWidth="0.8"
android:strokeColor="#33FFFFFF" />
<path
android:fillColor="#00000000"
android:pathData="M39,19L39,89"
android:strokeWidth="0.8"
android:strokeColor="#33FFFFFF" />
<path
android:fillColor="#00000000"
android:pathData="M49,19L49,89"
android:strokeWidth="0.8"
android:strokeColor="#33FFFFFF" />
<path
android:fillColor="#00000000"
android:pathData="M59,19L59,89"
android:strokeWidth="0.8"
android:strokeColor="#33FFFFFF" />
<path
android:fillColor="#00000000"
android:pathData="M69,19L69,89"
android:strokeWidth="0.8"
android:strokeColor="#33FFFFFF" />
<path
android:fillColor="#00000000"
android:pathData="M79,19L79,89"
android:strokeWidth="0.8"
android:strokeColor="#33FFFFFF" />
</vector>
deploy/android_demo/app/src/main/res/layout/activity_main.xml 0 → 100644
View file @ 17edc892
<?xml version="1.0" encoding="utf-8"?>
<android.support.constraint.ConstraintLayout xmlns:android="http://schemas.android.com/apk/res/android"
xmlns:app="http://schemas.android.com/apk/res-auto"
xmlns:tools="http://schemas.android.com/tools"
android:layout_width="match_parent"
android:layout_height="match_parent"
tools:context=".MainActivity">
<RelativeLayout
android:layout_width="match_parent"
android:layout_height="match_parent">
<LinearLayout
android:id="@+id/v_input_info"
android:layout_width="fill_parent"
android:layout_height="wrap_content"
android:layout_alignParentTop="true"
android:orientation="vertical">
<TextView
android:id="@+id/tv_input_setting"
android:layout_width="wrap_content"
android:layout_height="wrap_content"
android:scrollbars="vertical"
android:layout_marginLeft="12dp"
android:layout_marginRight="12dp"
android:layout_marginTop="10dp"
android:layout_marginBottom="5dp"
android:lineSpacingExtra="4dp"
android:singleLine="false"
android:maxLines="6"
android:text=""/>
</LinearLayout>
<RelativeLayout
android:layout_width="match_parent"
android:layout_height="match_parent"
android:layout_above="@+id/v_output_info"
android:layout_below="@+id/v_input_info">
<ImageView
android:id="@+id/iv_input_image"
android:layout_width="400dp"
android:layout_height="400dp"
android:layout_centerHorizontal="true"
android:layout_centerVertical="true"
android:layout_marginLeft="12dp"
android:layout_marginRight="12dp"
android:layout_marginTop="5dp"
android:layout_marginBottom="5dp"
android:adjustViewBounds="true"
android:scaleType="fitCenter"/>
</RelativeLayout>
<RelativeLayout
android:id="@+id/v_output_info"
android:layout_width="wrap_content"
android:layout_height="wrap_content"
android:layout_alignParentBottom="true"
android:layout_centerHorizontal="true">
<TextView
android:id="@+id/tv_output_result"
android:layout_width="wrap_content"
android:layout_height="wrap_content"
android:layout_alignParentTop="true"
android:layout_centerHorizontal="true"
android:layout_centerVertical="true"
android:scrollbars="vertical"
android:layout_marginLeft="12dp"
android:layout_marginRight="12dp"
android:layout_marginTop="5dp"
android:layout_marginBottom="5dp"
android:textAlignment="center"
android:lineSpacingExtra="5dp"
android:singleLine="false"
android:maxLines="5"
android:text=""/>
<TextView
android:id="@+id/tv_inference_time"
android:layout_width="wrap_content"
android:layout_height="wrap_content"
android:layout_below="@+id/tv_output_result"
android:layout_centerHorizontal="true"
android:layout_centerVertical="true"
android:textAlignment="center"
android:layout_marginLeft="12dp"
android:layout_marginRight="12dp"
android:layout_marginTop="5dp"
android:layout_marginBottom="10dp"
android:text=""/>
</RelativeLayout>
</RelativeLayout>
</android.support.constraint.ConstraintLayout>
\ No newline at end of file
deploy/android_demo/app/src/main/res/menu/menu_action_options.xml 0 → 100644
View file @ 17edc892
<menu xmlns:android="http://schemas.android.com/apk/res/android"
xmlns:app="http://schemas.android.com/apk/res-auto">
<group android:id="@+id/pick_image">
<item
android:id="@+id/open_gallery"
android:title="Open Gallery"
app:showAsAction="withText"/>
<item
android:id="@+id/take_photo"
android:title="Take Photo"
app:showAsAction="withText"/>
</group>
<group>
<item
android:id="@+id/settings"
android:title="Settings..."
app:showAsAction="withText"/>
</group>
</menu>
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