Merge branch 'dygraph' of https://github.com/PaddlePaddle/PaddleOCR into dygraph_rc
WenmuZhou
4 years ago
commit
7b53596ce6
File diff suppressed because it is too large
Load Diff
@ -1,130 +0,0 @@
|
||||
Global:
|
||||
use_gpu: true
|
||||
epoch_num: 1200
|
||||
log_smooth_window: 20
|
||||
print_batch_step: 2
|
||||
save_model_dir: ./output/det_r50_vd/
|
||||
save_epoch_step: 1200
|
||||
# evaluation is run every 5000 iterations after the 4000th iteration
|
||||
eval_batch_step: 8
|
||||
# if pretrained_model is saved in static mode, load_static_weights must set to True
|
||||
load_static_weights: True
|
||||
cal_metric_during_train: False
|
||||
pretrained_model: ./pretrain_models/ResNet50_vd_ssld_pretrained/
|
||||
checkpoints:
|
||||
save_inference_dir:
|
||||
use_visualdl: True
|
||||
infer_img: doc/imgs_en/img_10.jpg
|
||||
save_res_path: ./output/det_db/predicts_db.txt
|
||||
|
||||
Optimizer:
|
||||
name: Adam
|
||||
beta1: 0.9
|
||||
beta2: 0.999
|
||||
learning_rate:
|
||||
lr: 0.001
|
||||
regularizer:
|
||||
name: 'L2'
|
||||
factor: 0
|
||||
|
||||
Architecture:
|
||||
type: det
|
||||
algorithm: DB
|
||||
Transform:
|
||||
Backbone:
|
||||
name: ResNet
|
||||
layers: 50
|
||||
Neck:
|
||||
name: FPN
|
||||
out_channels: 256
|
||||
Head:
|
||||
name: DBHead
|
||||
k: 50
|
||||
|
||||
Loss:
|
||||
name: DBLoss
|
||||
balance_loss: true
|
||||
main_loss_type: DiceLoss
|
||||
alpha: 5
|
||||
beta: 10
|
||||
ohem_ratio: 3
|
||||
|
||||
PostProcess:
|
||||
name: DBPostProcess
|
||||
thresh: 0.3
|
||||
box_thresh: 0.6
|
||||
max_candidates: 1000
|
||||
unclip_ratio: 1.5
|
||||
|
||||
Metric:
|
||||
name: DetMetric
|
||||
main_indicator: hmean
|
||||
|
||||
TRAIN:
|
||||
dataset:
|
||||
name: SimpleDataSet
|
||||
data_dir: ./detection/
|
||||
file_list:
|
||||
- ./detection/train_icdar2015_label.txt # dataset1
|
||||
ratio_list: [1.0]
|
||||
transforms:
|
||||
- DecodeImage: # load image
|
||||
img_mode: BGR
|
||||
channel_first: False
|
||||
- DetLabelEncode: # Class handling label
|
||||
- IaaAugment:
|
||||
augmenter_args:
|
||||
- { 'type': Fliplr, 'args': { 'p': 0.5 } }
|
||||
- { 'type': Affine, 'args': { 'rotate': [ -10,10 ] } }
|
||||
- { 'type': Resize,'args': { 'size': [ 0.5,3 ] } }
|
||||
- EastRandomCropData:
|
||||
size: [ 640,640 ]
|
||||
max_tries: 50
|
||||
keep_ratio: true
|
||||
- MakeBorderMap:
|
||||
shrink_ratio: 0.4
|
||||
thresh_min: 0.3
|
||||
thresh_max: 0.7
|
||||
- MakeShrinkMap:
|
||||
shrink_ratio: 0.4
|
||||
min_text_size: 8
|
||||
- NormalizeImage:
|
||||
scale: 1./255.
|
||||
mean: [ 0.485, 0.456, 0.406 ]
|
||||
std: [ 0.229, 0.224, 0.225 ]
|
||||
order: 'hwc'
|
||||
- ToCHWImage:
|
||||
- keepKeys:
|
||||
keep_keys: ['image','threshold_map','threshold_mask','shrink_map','shrink_mask'] # dataloader will return list in this order
|
||||
loader:
|
||||
shuffle: True
|
||||
drop_last: False
|
||||
batch_size: 16
|
||||
num_workers: 8
|
||||
|
||||
EVAL:
|
||||
dataset:
|
||||
name: SimpleDataSet
|
||||
data_dir: ./detection/
|
||||
file_list:
|
||||
- ./detection/test_icdar2015_label.txt
|
||||
transforms:
|
||||
- DecodeImage: # load image
|
||||
img_mode: BGR
|
||||
channel_first: False
|
||||
- DetLabelEncode: # Class handling label
|
||||
- DetResizeForTest:
|
||||
image_shape: [736,1280]
|
||||
- NormalizeImage:
|
||||
scale: 1./255.
|
||||
mean: [ 0.485, 0.456, 0.406 ]
|
||||
std: [ 0.229, 0.224, 0.225 ]
|
||||
order: 'hwc'
|
||||
- ToCHWImage:
|
||||
- keepKeys:
|
||||
keep_keys: ['image','shape','polys','ignore_tags']
|
||||
loader:
|
||||
shuffle: False
|
||||
drop_last: False
|
||||
batch_size: 1 # must be 1
|
||||
num_workers: 8
|
||||
@ -1,106 +0,0 @@
|
||||
Global:
|
||||
use_gpu: false
|
||||
epoch_num: 500
|
||||
log_smooth_window: 20
|
||||
print_batch_step: 10
|
||||
save_model_dir: ./output/rec/mv3_none_bilstm_ctc/
|
||||
save_epoch_step: 500
|
||||
# evaluation is run every 5000 iterations after the 4000th iteration
|
||||
eval_batch_step: 127
|
||||
# if pretrained_model is saved in static mode, load_static_weights must set to True
|
||||
load_static_weights: True
|
||||
cal_metric_during_train: True
|
||||
pretrained_model:
|
||||
checkpoints:
|
||||
save_inference_dir:
|
||||
use_visualdl: False
|
||||
infer_img: doc/imgs_words/ch/word_1.jpg
|
||||
# for data or label process
|
||||
max_text_length: 80
|
||||
character_dict_path: ppocr/utils/ppocr_keys_v1.txt
|
||||
character_type: 'ch'
|
||||
use_space_char: False
|
||||
infer_mode: False
|
||||
use_tps: False
|
||||
|
||||
|
||||
Optimizer:
|
||||
name: Adam
|
||||
beta1: 0.9
|
||||
beta2: 0.999
|
||||
learning_rate:
|
||||
lr: 0.001
|
||||
regularizer:
|
||||
name: 'L2'
|
||||
factor: 0.00001
|
||||
|
||||
Architecture:
|
||||
type: rec
|
||||
algorithm: CRNN
|
||||
Transform:
|
||||
Backbone:
|
||||
name: MobileNetV3
|
||||
scale: 0.5
|
||||
model_name: small
|
||||
small_stride: [ 1, 2, 2, 2 ]
|
||||
Neck:
|
||||
name: SequenceEncoder
|
||||
encoder_type: fc
|
||||
hidden_size: 96
|
||||
Head:
|
||||
name: CTC
|
||||
fc_decay: 0.00001
|
||||
|
||||
Loss:
|
||||
name: CTCLoss
|
||||
|
||||
PostProcess:
|
||||
name: CTCLabelDecode
|
||||
|
||||
Metric:
|
||||
name: RecMetric
|
||||
main_indicator: acc
|
||||
|
||||
TRAIN:
|
||||
dataset:
|
||||
name: SimpleDataSet
|
||||
data_dir: ./rec
|
||||
file_list:
|
||||
- ./rec/train.txt # dataset1
|
||||
ratio_list: [ 0.4,0.6 ]
|
||||
transforms:
|
||||
- DecodeImage: # load image
|
||||
img_mode: BGR
|
||||
channel_first: False
|
||||
- CTCLabelEncode: # Class handling label
|
||||
- RecAug:
|
||||
- RecResizeImg:
|
||||
image_shape: [ 3,32,320 ]
|
||||
- keepKeys:
|
||||
keep_keys: [ 'image','label','length' ] # dataloader will return list in this order
|
||||
loader:
|
||||
batch_size: 256
|
||||
shuffle: True
|
||||
drop_last: True
|
||||
num_workers: 8
|
||||
|
||||
EVAL:
|
||||
dataset:
|
||||
name: SimpleDataSet
|
||||
data_dir: ./rec
|
||||
file_list:
|
||||
- ./rec/val.txt
|
||||
transforms:
|
||||
- DecodeImage: # load image
|
||||
img_mode: BGR
|
||||
channel_first: False
|
||||
- CTCLabelEncode: # Class handling label
|
||||
- RecResizeImg:
|
||||
image_shape: [ 3,32,320 ]
|
||||
- keepKeys:
|
||||
keep_keys: [ 'image','label','length' ] # dataloader will return list in this order
|
||||
loader:
|
||||
shuffle: False
|
||||
drop_last: False
|
||||
batch_size: 256
|
||||
num_workers: 8
|
||||
@ -1,104 +0,0 @@
|
||||
Global:
|
||||
use_gpu: false
|
||||
epoch_num: 500
|
||||
log_smooth_window: 20
|
||||
print_batch_step: 10
|
||||
save_model_dir: ./output/rec/res34_none_bilstm_ctc/
|
||||
save_epoch_step: 500
|
||||
# evaluation is run every 5000 iterations after the 4000th iteration
|
||||
eval_batch_step: 127
|
||||
# if pretrained_model is saved in static mode, load_static_weights must set to True
|
||||
load_static_weights: True
|
||||
cal_metric_during_train: True
|
||||
pretrained_model:
|
||||
checkpoints:
|
||||
save_inference_dir:
|
||||
use_visualdl: False
|
||||
infer_img: doc/imgs_words/ch/word_1.jpg
|
||||
# for data or label process
|
||||
max_text_length: 80
|
||||
character_dict_path: ppocr/utils/ppocr_keys_v1.txt
|
||||
character_type: 'ch'
|
||||
use_space_char: False
|
||||
infer_mode: False
|
||||
use_tps: False
|
||||
|
||||
|
||||
Optimizer:
|
||||
name: Adam
|
||||
beta1: 0.9
|
||||
beta2: 0.999
|
||||
learning_rate:
|
||||
lr: 0.001
|
||||
regularizer:
|
||||
name: 'L2'
|
||||
factor: 0.00001
|
||||
|
||||
Architecture:
|
||||
type: rec
|
||||
algorithm: CRNN
|
||||
Transform:
|
||||
Backbone:
|
||||
name: ResNet
|
||||
layers: 34
|
||||
Neck:
|
||||
name: SequenceEncoder
|
||||
encoder_type: fc
|
||||
hidden_size: 96
|
||||
Head:
|
||||
name: CTC
|
||||
fc_decay: 0.00001
|
||||
|
||||
Loss:
|
||||
name: CTCLoss
|
||||
|
||||
PostProcess:
|
||||
name: CTCLabelDecode
|
||||
|
||||
Metric:
|
||||
name: RecMetric
|
||||
main_indicator: acc
|
||||
|
||||
TRAIN:
|
||||
dataset:
|
||||
name: SimpleDataSet
|
||||
data_dir: ./rec
|
||||
file_list:
|
||||
- ./rec/train.txt # dataset1
|
||||
ratio_list: [ 0.4,0.6 ]
|
||||
transforms:
|
||||
- DecodeImage: # load image
|
||||
img_mode: BGR
|
||||
channel_first: False
|
||||
- CTCLabelEncode: # Class handling label
|
||||
- RecAug:
|
||||
- RecResizeImg:
|
||||
image_shape: [ 3,32,320 ]
|
||||
- keepKeys:
|
||||
keep_keys: [ 'image','label','length' ] # dataloader will return list in this order
|
||||
loader:
|
||||
batch_size: 256
|
||||
shuffle: True
|
||||
drop_last: True
|
||||
num_workers: 8
|
||||
|
||||
EVAL:
|
||||
dataset:
|
||||
name: SimpleDataSet
|
||||
data_dir: ./rec
|
||||
file_list:
|
||||
- ./rec/val.txt
|
||||
transforms:
|
||||
- DecodeImage: # load image
|
||||
img_mode: BGR
|
||||
channel_first: False
|
||||
- CTCLabelEncode: # Class handling label
|
||||
- RecResizeImg:
|
||||
image_shape: [ 3,32,320 ]
|
||||
- keepKeys:
|
||||
keep_keys: [ 'image','label','length' ] # dataloader will return list in this order
|
||||
loader:
|
||||
shuffle: False
|
||||
drop_last: False
|
||||
batch_size: 256
|
||||
num_workers: 8
|
||||
@ -1,9 +0,0 @@
|
||||
*.iml
|
||||
.gradle
|
||||
/local.properties
|
||||
/.idea/*
|
||||
.DS_Store
|
||||
/build
|
||||
/captures
|
||||
.externalNativeBuild
|
||||
|
||||
@ -1 +0,0 @@
|
||||
/build
|
||||
@ -1,94 +0,0 @@
|
||||
import java.security.MessageDigest
|
||||
|
||||
apply plugin: 'com.android.application'
|
||||
|
||||
android {
|
||||
compileSdkVersion 29
|
||||
defaultConfig {
|
||||
applicationId "com.baidu.paddle.lite.demo.ocr"
|
||||
minSdkVersion 23
|
||||
targetSdkVersion 29
|
||||
versionCode 1
|
||||
versionName "1.0"
|
||||
testInstrumentationRunner "android.support.test.runner.AndroidJUnitRunner"
|
||||
externalNativeBuild {
|
||||
cmake {
|
||||
cppFlags "-std=c++11 -frtti -fexceptions -Wno-format"
|
||||
arguments '-DANDROID_PLATFORM=android-23', '-DANDROID_STL=c++_shared' ,"-DANDROID_ARM_NEON=TRUE"
|
||||
}
|
||||
}
|
||||
ndk {
|
||||
// abiFilters "arm64-v8a", "armeabi-v7a"
|
||||
abiFilters "arm64-v8a", "armeabi-v7a"
|
||||
ldLibs "jnigraphics"
|
||||
}
|
||||
}
|
||||
buildTypes {
|
||||
release {
|
||||
minifyEnabled false
|
||||
proguardFiles getDefaultProguardFile('proguard-android-optimize.txt'), 'proguard-rules.pro'
|
||||
}
|
||||
}
|
||||
externalNativeBuild {
|
||||
cmake {
|
||||
path "src/main/cpp/CMakeLists.txt"
|
||||
version "3.10.2"
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
dependencies {
|
||||
implementation fileTree(include: ['*.jar'], dir: 'libs')
|
||||
implementation 'androidx.appcompat:appcompat:1.1.0'
|
||||
implementation 'androidx.constraintlayout:constraintlayout:1.1.3'
|
||||
testImplementation 'junit:junit:4.12'
|
||||
androidTestImplementation 'com.android.support.test:runner:1.0.2'
|
||||
androidTestImplementation 'com.android.support.test.espresso:espresso-core:3.0.2'
|
||||
}
|
||||
|
||||
def archives = [
|
||||
[
|
||||
'src' : 'https://paddlelite-demo.bj.bcebos.com/libs/android/paddle_lite_libs_v2_6_1.tar.gz',
|
||||
'dest': 'PaddleLite'
|
||||
],
|
||||
[
|
||||
'src' : 'https://paddlelite-demo.bj.bcebos.com/libs/android/opencv-4.2.0-android-sdk.tar.gz',
|
||||
'dest': 'OpenCV'
|
||||
],
|
||||
[
|
||||
'src' : 'https://paddleocr.bj.bcebos.com/deploy/lite/ocr_v1_for_cpu.tar.gz',
|
||||
'dest' : 'src/main/assets/models/ocr_v1_for_cpu'
|
||||
]
|
||||
]
|
||||
|
||||
task downloadAndExtractArchives(type: DefaultTask) {
|
||||
doFirst {
|
||||
println "Downloading and extracting archives including libs and models"
|
||||
}
|
||||
doLast {
|
||||
// Prepare cache folder for archives
|
||||
String cachePath = "cache"
|
||||
if (!file("${cachePath}").exists()) {
|
||||
mkdir "${cachePath}"
|
||||
}
|
||||
archives.eachWithIndex { archive, index ->
|
||||
MessageDigest messageDigest = MessageDigest.getInstance('MD5')
|
||||
messageDigest.update(archive.src.bytes)
|
||||
String cacheName = new BigInteger(1, messageDigest.digest()).toString(32)
|
||||
// Download the target archive if not exists
|
||||
boolean copyFiles = !file("${archive.dest}").exists()
|
||||
if (!file("${cachePath}/${cacheName}.tar.gz").exists()) {
|
||||
ant.get(src: archive.src, dest: file("${cachePath}/${cacheName}.tar.gz"))
|
||||
copyFiles = true; // force to copy files from the latest archive files
|
||||
}
|
||||
// Extract the target archive if its dest path does not exists
|
||||
if (copyFiles) {
|
||||
copy {
|
||||
from tarTree("${cachePath}/${cacheName}.tar.gz")
|
||||
into "${archive.dest}"
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
preBuild.dependsOn downloadAndExtractArchives
|
||||
@ -1,21 +0,0 @@
|
||||
# Add project specific ProGuard rules here.
|
||||
# You can control the set of applied configuration files using the
|
||||
# proguardFiles setting in build.gradle.
|
||||
#
|
||||
# For more details, see
|
||||
# http://developer.android.com/guide/developing/tools/proguard.html
|
||||
|
||||
# If your project uses WebView with JS, uncomment the following
|
||||
# and specify the fully qualified class name to the JavaScript interface
|
||||
# class:
|
||||
#-keepclassmembers class fqcn.of.javascript.interface.for.webview {
|
||||
# public *;
|
||||
#}
|
||||
|
||||
# Uncomment this to preserve the line number information for
|
||||
# debugging stack traces.
|
||||
#-keepattributes SourceFile,LineNumberTable
|
||||
|
||||
# If you keep the line number information, uncomment this to
|
||||
# hide the original source file name.
|
||||
#-renamesourcefileattribute SourceFile
|
||||
@ -1,26 +0,0 @@
|
||||
package com.baidu.paddle.lite.demo.ocr;
|
||||
|
||||
import android.content.Context;
|
||||
import android.support.test.InstrumentationRegistry;
|
||||
import android.support.test.runner.AndroidJUnit4;
|
||||
|
||||
import org.junit.Test;
|
||||
import org.junit.runner.RunWith;
|
||||
|
||||
import static org.junit.Assert.*;
|
||||
|
||||
/**
|
||||
* Instrumented test, which will execute on an Android device.
|
||||
*
|
||||
* @see <a href="http://d.android.com/tools/testing">Testing documentation</a>
|
||||
*/
|
||||
@RunWith(AndroidJUnit4.class)
|
||||
public class ExampleInstrumentedTest {
|
||||
@Test
|
||||
public void useAppContext() {
|
||||
// Context of the app under test.
|
||||
Context appContext = InstrumentationRegistry.getTargetContext();
|
||||
|
||||
assertEquals("com.baidu.paddle.lite.demo", appContext.getPackageName());
|
||||
}
|
||||
}
|
||||
@ -1,39 +0,0 @@
|
||||
<?xml version="1.0" encoding="utf-8"?>
|
||||
<manifest xmlns:android="http://schemas.android.com/apk/res/android"
|
||||
package="com.baidu.paddle.lite.demo.ocr">
|
||||
|
||||
<uses-permission android:name="android.permission.WRITE_EXTERNAL_STORAGE"/>
|
||||
<uses-permission android:name="android.permission.READ_EXTERNAL_STORAGE"/>
|
||||
<uses-permission android:name="android.permission.CAMERA"/>
|
||||
|
||||
|
||||
<application
|
||||
android:allowBackup="true"
|
||||
android:icon="@mipmap/ic_launcher"
|
||||
android:label="@string/app_name"
|
||||
android:roundIcon="@mipmap/ic_launcher_round"
|
||||
android:supportsRtl="true"
|
||||
android:theme="@style/AppTheme">
|
||||
<!-- to test MiniActivity, change this to com.baidu.paddle.lite.demo.ocr.MiniActivity -->
|
||||
<activity android:name="com.baidu.paddle.lite.demo.ocr.MainActivity">
|
||||
<intent-filter>
|
||||
<action android:name="android.intent.action.MAIN"/>
|
||||
<category android:name="android.intent.category.LAUNCHER"/>
|
||||
</intent-filter>
|
||||
</activity>
|
||||
<activity
|
||||
android:name="com.baidu.paddle.lite.demo.ocr.SettingsActivity"
|
||||
android:label="Settings">
|
||||
</activity>
|
||||
<provider
|
||||
android:name="androidx.core.content.FileProvider"
|
||||
android:authorities="com.baidu.paddle.lite.demo.ocr.fileprovider"
|
||||
android:exported="false"
|
||||
android:grantUriPermissions="true">
|
||||
<meta-data
|
||||
android:name="android.support.FILE_PROVIDER_PATHS"
|
||||
android:resource="@xml/file_paths"></meta-data>
|
||||
</provider>
|
||||
</application>
|
||||
|
||||
</manifest>
|
||||
|
Before Width: | Height: | Size: 62 KiB |
File diff suppressed because it is too large
Load Diff
@ -1,117 +0,0 @@
|
||||
# For more information about using CMake with Android Studio, read the
|
||||
# documentation: https://d.android.com/studio/projects/add-native-code.html
|
||||
|
||||
# Sets the minimum version of CMake required to build the native library.
|
||||
|
||||
cmake_minimum_required(VERSION 3.4.1)
|
||||
|
||||
# Creates and names a library, sets it as either STATIC or SHARED, and provides
|
||||
# the relative paths to its source code. You can define multiple libraries, and
|
||||
# CMake builds them for you. Gradle automatically packages shared libraries with
|
||||
# your APK.
|
||||
|
||||
set(PaddleLite_DIR "${CMAKE_CURRENT_SOURCE_DIR}/../../../PaddleLite")
|
||||
include_directories(${PaddleLite_DIR}/cxx/include)
|
||||
|
||||
set(OpenCV_DIR "${CMAKE_CURRENT_SOURCE_DIR}/../../../OpenCV/sdk/native/jni")
|
||||
message(STATUS "opencv dir: ${OpenCV_DIR}")
|
||||
find_package(OpenCV REQUIRED)
|
||||
message(STATUS "OpenCV libraries: ${OpenCV_LIBS}")
|
||||
include_directories(${OpenCV_INCLUDE_DIRS})
|
||||
aux_source_directory(. SOURCES)
|
||||
set(CMAKE_CXX_FLAGS
|
||||
"${CMAKE_CXX_FLAGS} -ffast-math -Ofast -Os"
|
||||
)
|
||||
set(CMAKE_CXX_FLAGS
|
||||
"${CMAKE_CXX_FLAGS} -fvisibility=hidden -fvisibility-inlines-hidden -fdata-sections -ffunction-sections"
|
||||
)
|
||||
set(CMAKE_SHARED_LINKER_FLAGS
|
||||
"${CMAKE_SHARED_LINKER_FLAGS} -Wl,--gc-sections -Wl,-z,nocopyreloc")
|
||||
|
||||
add_library(
|
||||
# Sets the name of the library.
|
||||
Native
|
||||
# Sets the library as a shared library.
|
||||
SHARED
|
||||
# Provides a relative path to your source file(s).
|
||||
${SOURCES})
|
||||
|
||||
find_library(
|
||||
# Sets the name of the path variable.
|
||||
log-lib
|
||||
# Specifies the name of the NDK library that you want CMake to locate.
|
||||
log)
|
||||
|
||||
add_library(
|
||||
# Sets the name of the library.
|
||||
paddle_light_api_shared
|
||||
# Sets the library as a shared library.
|
||||
SHARED
|
||||
# Provides a relative path to your source file(s).
|
||||
IMPORTED)
|
||||
|
||||
set_target_properties(
|
||||
# Specifies the target library.
|
||||
paddle_light_api_shared
|
||||
# Specifies the parameter you want to define.
|
||||
PROPERTIES
|
||||
IMPORTED_LOCATION
|
||||
${PaddleLite_DIR}/cxx/libs/${ANDROID_ABI}/libpaddle_light_api_shared.so
|
||||
# Provides the path to the library you want to import.
|
||||
)
|
||||
|
||||
|
||||
# Specifies libraries CMake should link to your target library. You can link
|
||||
# multiple libraries, such as libraries you define in this build script,
|
||||
# prebuilt third-party libraries, or system libraries.
|
||||
|
||||
target_link_libraries(
|
||||
# Specifies the target library.
|
||||
Native
|
||||
paddle_light_api_shared
|
||||
${OpenCV_LIBS}
|
||||
GLESv2
|
||||
EGL
|
||||
jnigraphics
|
||||
${log-lib}
|
||||
)
|
||||
|
||||
add_custom_command(
|
||||
TARGET Native
|
||||
POST_BUILD
|
||||
COMMAND
|
||||
${CMAKE_COMMAND} -E copy
|
||||
${PaddleLite_DIR}/cxx/libs/${ANDROID_ABI}/libc++_shared.so
|
||||
${CMAKE_LIBRARY_OUTPUT_DIRECTORY}/libc++_shared.so)
|
||||
|
||||
add_custom_command(
|
||||
TARGET Native
|
||||
POST_BUILD
|
||||
COMMAND
|
||||
${CMAKE_COMMAND} -E copy
|
||||
${PaddleLite_DIR}/cxx/libs/${ANDROID_ABI}/libpaddle_light_api_shared.so
|
||||
${CMAKE_LIBRARY_OUTPUT_DIRECTORY}/libpaddle_light_api_shared.so)
|
||||
|
||||
add_custom_command(
|
||||
TARGET Native
|
||||
POST_BUILD
|
||||
COMMAND
|
||||
${CMAKE_COMMAND} -E copy
|
||||
${PaddleLite_DIR}/cxx/libs/${ANDROID_ABI}/libhiai.so
|
||||
${CMAKE_LIBRARY_OUTPUT_DIRECTORY}/libhiai.so)
|
||||
|
||||
add_custom_command(
|
||||
TARGET Native
|
||||
POST_BUILD
|
||||
COMMAND
|
||||
${CMAKE_COMMAND} -E copy
|
||||
${PaddleLite_DIR}/cxx/libs/${ANDROID_ABI}/libhiai_ir.so
|
||||
${CMAKE_LIBRARY_OUTPUT_DIRECTORY}/libhiai_ir.so)
|
||||
|
||||
add_custom_command(
|
||||
TARGET Native
|
||||
POST_BUILD
|
||||
COMMAND
|
||||
${CMAKE_COMMAND} -E copy
|
||||
${PaddleLite_DIR}/cxx/libs/${ANDROID_ABI}/libhiai_ir_build.so
|
||||
${CMAKE_LIBRARY_OUTPUT_DIRECTORY}/libhiai_ir_build.so)
|
||||
@ -1,48 +0,0 @@
|
||||
//
|
||||
// Created by fu on 4/25/18.
|
||||
//
|
||||
|
||||
#pragma once
|
||||
#import <vector>
|
||||
#import <numeric>
|
||||
|
||||
#ifdef __ANDROID__
|
||||
|
||||
#include <android/log.h>
|
||||
|
||||
#define LOG_TAG "OCR_NDK"
|
||||
|
||||
#define LOGI(...) \
|
||||
__android_log_print(ANDROID_LOG_INFO, LOG_TAG, __VA_ARGS__)
|
||||
#define LOGW(...) \
|
||||
__android_log_print(ANDROID_LOG_WARN, LOG_TAG, __VA_ARGS__)
|
||||
#define LOGE(...) \
|
||||
__android_log_print(ANDROID_LOG_ERROR, LOG_TAG, __VA_ARGS__)
|
||||
#else
|
||||
#include <stdio.h>
|
||||
#define LOGI(format, ...) \
|
||||
fprintf(stdout, "[" LOG_TAG "]" format "\n", ##__VA_ARGS__)
|
||||
#define LOGW(format, ...) \
|
||||
fprintf(stdout, "[" LOG_TAG "]" format "\n", ##__VA_ARGS__)
|
||||
#define LOGE(format, ...) \
|
||||
fprintf(stderr, "[" LOG_TAG "]Error: " format "\n", ##__VA_ARGS__)
|
||||
#endif
|
||||
|
||||
enum RETURN_CODE {
|
||||
RETURN_OK = 0
|
||||
};
|
||||
|
||||
enum NET_TYPE{
|
||||
NET_OCR = 900100,
|
||||
NET_OCR_INTERNAL = 991008
|
||||
};
|
||||
|
||||
|
||||
template <typename T>
|
||||
inline T product(const std::vector<T> &vec) {
|
||||
if (vec.empty()){
|
||||
return 0;
|
||||
}
|
||||
return std::accumulate(vec.begin(), vec.end(), 1, std::multiplies<T>());
|
||||
}
|
||||
|
||||
Some files were not shown because too many files have changed in this diff Show More
Loading…
Reference in new issue