commit
fbbec85ac8
|
@ -0,0 +1,32 @@
|
|||
#!/bin/bash
|
||||
set -e
|
||||
|
||||
OCR_MODEL_URL="https://paddleocr.bj.bcebos.com/deploy/lite/ocr_v1_for_cpu.tar.gz"
|
||||
PADDLE_LITE_LIB_URL="https://paddlelite-demo.bj.bcebos.com/libs/ios/paddle_lite_libs_v2_6_0.tar.gz"
|
||||
OPENCV3_FRAMEWORK_URL="https://paddlelite-demo.bj.bcebos.com/libs/ios/opencv3.framework.tar.gz"
|
||||
|
||||
download_and_extract() {
|
||||
local url="$1"
|
||||
local dst_dir="$2"
|
||||
local tempdir=$(mktemp -d)
|
||||
|
||||
echo "Downloading ${url} ..."
|
||||
curl -L ${url} > ${tempdir}/temp.tar.gz
|
||||
echo "Download ${url} done "
|
||||
|
||||
if [ ! -d ${dst_dir} ];then
|
||||
mkdir -p ${dst_dir}
|
||||
fi
|
||||
|
||||
echo "Extracting ..."
|
||||
tar -zxvf ${tempdir}/temp.tar.gz -C ${dst_dir}
|
||||
echo "Extract done "
|
||||
|
||||
rm -rf ${tempdir}
|
||||
}
|
||||
|
||||
echo -e "[Download ios ocr demo denpendancy]\n"
|
||||
download_and_extract "${OCR_MODEL_URL}" "./ios-demo/ocr_demo/models"
|
||||
download_and_extract "${PADDLE_LITE_LIB_URL}" "./ios-demo/ocr_demo"
|
||||
download_and_extract "${OPENCV3_FRAMEWORK_URL}" "./ios-demo/ocr_demo"
|
||||
echo -e "[done]\n"
|
|
@ -0,0 +1,462 @@
|
|||
// !$*UTF8*$!
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{
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//
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// AppDelegate.h
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// seg_demo
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//
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// Created by Li,Xiaoyang(SYS) on 2018/11/13.
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// Copyright © 2018年 Li,Xiaoyang(SYS). All rights reserved.
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//
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@interface AppDelegate : UIResponder <UIApplicationDelegate>
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@end
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//
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// AppDelegate.m
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// seg_demo
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//
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// Created by Li,Xiaoyang(SYS) on 2018/11/13.
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||||
// Copyright © 2018年 Li,Xiaoyang(SYS). All rights reserved.
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//
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||||
<objects>
|
||||
<viewController id="BYZ-38-t0r" customClass="ViewController" sceneMemberID="viewController">
|
||||
<view key="view" contentMode="scaleToFill" id="8bC-Xf-vdC">
|
||||
<rect key="frame" x="0.0" y="0.0" width="375" height="667"/>
|
||||
<autoresizingMask key="autoresizingMask" widthSizable="YES" heightSizable="YES"/>
|
||||
<subviews>
|
||||
<switch opaque="NO" contentMode="scaleToFill" horizontalHuggingPriority="750" verticalHuggingPriority="750" contentHorizontalAlignment="center" contentVerticalAlignment="center" translatesAutoresizingMaskIntoConstraints="NO" id="yZw-YR-x44">
|
||||
<rect key="frame" x="114.5" y="624" width="51" height="31"/>
|
||||
</switch>
|
||||
<switch opaque="NO" contentMode="scaleToFill" horizontalHuggingPriority="750" verticalHuggingPriority="750" contentHorizontalAlignment="center" contentVerticalAlignment="center" translatesAutoresizingMaskIntoConstraints="NO" id="wN7-2M-FdP">
|
||||
<rect key="frame" x="16" y="624" width="56" height="31"/>
|
||||
</switch>
|
||||
<label opaque="NO" userInteractionEnabled="NO" contentMode="left" horizontalHuggingPriority="251" verticalHuggingPriority="251" text="前/后摄像头" textAlignment="natural" lineBreakMode="tailTruncation" baselineAdjustment="alignBaselines" adjustsFontSizeToFit="NO" translatesAutoresizingMaskIntoConstraints="NO" id="lu6-Fq-OIg">
|
||||
<rect key="frame" x="93" y="594" width="92" height="21"/>
|
||||
<fontDescription key="fontDescription" type="system" pointSize="17"/>
|
||||
<nil key="textColor"/>
|
||||
<nil key="highlightedColor"/>
|
||||
</label>
|
||||
<label opaque="NO" userInteractionEnabled="NO" contentMode="left" horizontalHuggingPriority="251" verticalHuggingPriority="251" horizontalCompressionResistancePriority="751" text="开启相机" textAlignment="natural" lineBreakMode="tailTruncation" baselineAdjustment="alignBaselines" adjustsFontSizeToFit="NO" translatesAutoresizingMaskIntoConstraints="NO" id="VfD-z1-Okj">
|
||||
<rect key="frame" x="8" y="594" width="70" height="21"/>
|
||||
<fontDescription key="fontDescription" type="system" pointSize="17"/>
|
||||
<nil key="textColor"/>
|
||||
<nil key="highlightedColor"/>
|
||||
</label>
|
||||
<imageView userInteractionEnabled="NO" contentMode="scaleToFill" horizontalHuggingPriority="251" verticalHuggingPriority="251" translatesAutoresizingMaskIntoConstraints="NO" id="ptx-ND-Ywq">
|
||||
<rect key="frame" x="0.0" y="0.0" width="375" height="564"/>
|
||||
</imageView>
|
||||
<label opaque="NO" userInteractionEnabled="NO" contentMode="left" horizontalHuggingPriority="251" verticalHuggingPriority="251" text="" textAlignment="natural" lineBreakMode="tailTruncation" baselineAdjustment="alignBaselines" adjustsFontSizeToFit="NO" translatesAutoresizingMaskIntoConstraints="NO" id="T9y-OT-OQS">
|
||||
<rect key="frame" x="33" y="574" width="309" height="10"/>
|
||||
<constraints>
|
||||
<constraint firstAttribute="height" constant="10" id="pMg-XK-d3N"/>
|
||||
</constraints>
|
||||
<fontDescription key="fontDescription" type="system" pointSize="17"/>
|
||||
<nil key="textColor"/>
|
||||
<nil key="highlightedColor"/>
|
||||
</label>
|
||||
<button opaque="NO" contentMode="scaleToFill" contentHorizontalAlignment="center" contentVerticalAlignment="center" buttonType="roundedRect" lineBreakMode="middleTruncation" translatesAutoresizingMaskIntoConstraints="NO" id="HJ5-UE-PrR">
|
||||
<rect key="frame" x="302" y="620.5" width="43" height="38"/>
|
||||
<fontDescription key="fontDescription" type="system" pointSize="21"/>
|
||||
<state key="normal" title="拍照"/>
|
||||
<connections>
|
||||
<action selector="cap_photo:" destination="BYZ-38-t0r" eventType="touchUpInside" id="PbV-pB-BRY"/>
|
||||
</connections>
|
||||
</button>
|
||||
<switch opaque="NO" contentMode="scaleToFill" horizontalHuggingPriority="750" verticalHuggingPriority="750" contentHorizontalAlignment="center" contentVerticalAlignment="center" translatesAutoresizingMaskIntoConstraints="NO" id="rc6-ZX-igF">
|
||||
<rect key="frame" x="208" y="624" width="51" height="31"/>
|
||||
<connections>
|
||||
<action selector="swith_video_photo:" destination="BYZ-38-t0r" eventType="valueChanged" id="I05-92-4FW"/>
|
||||
</connections>
|
||||
</switch>
|
||||
<label opaque="NO" userInteractionEnabled="NO" contentMode="left" horizontalHuggingPriority="251" verticalHuggingPriority="251" text="视频/拍照" textAlignment="natural" lineBreakMode="tailTruncation" baselineAdjustment="alignBaselines" adjustsFontSizeToFit="NO" translatesAutoresizingMaskIntoConstraints="NO" id="0tm-fo-hjF">
|
||||
<rect key="frame" x="195" y="595" width="75" height="21"/>
|
||||
<fontDescription key="fontDescription" type="system" pointSize="17"/>
|
||||
<nil key="textColor"/>
|
||||
<nil key="highlightedColor"/>
|
||||
</label>
|
||||
</subviews>
|
||||
<color key="backgroundColor" red="1" green="1" blue="1" alpha="1" colorSpace="custom" customColorSpace="sRGB"/>
|
||||
<constraints>
|
||||
<constraint firstItem="VfD-z1-Okj" firstAttribute="top" secondItem="T9y-OT-OQS" secondAttribute="bottom" constant="10" id="BZ1-F0-re1"/>
|
||||
<constraint firstItem="wN7-2M-FdP" firstAttribute="top" secondItem="rc6-ZX-igF" secondAttribute="top" id="Gzf-hC-X6O"/>
|
||||
<constraint firstItem="wN7-2M-FdP" firstAttribute="leading" secondItem="8bC-Xf-vdC" secondAttribute="leadingMargin" id="JB8-MT-bdB"/>
|
||||
<constraint firstItem="lu6-Fq-OIg" firstAttribute="leading" secondItem="VfD-z1-Okj" secondAttribute="trailing" constant="15" id="JbA-wd-hE8"/>
|
||||
<constraint firstItem="wN7-2M-FdP" firstAttribute="centerX" secondItem="VfD-z1-Okj" secondAttribute="centerX" id="LW4-R4-nh2"/>
|
||||
<constraint firstItem="0tm-fo-hjF" firstAttribute="leading" secondItem="lu6-Fq-OIg" secondAttribute="trailing" constant="10" id="NDI-W8-717"/>
|
||||
<constraint firstItem="6Tk-OE-BBY" firstAttribute="trailing" secondItem="ptx-ND-Ywq" secondAttribute="trailing" id="V5z-FH-SFs"/>
|
||||
<constraint firstItem="ptx-ND-Ywq" firstAttribute="leading" secondItem="6Tk-OE-BBY" secondAttribute="leading" id="dET-yr-Mon"/>
|
||||
<constraint firstItem="ptx-ND-Ywq" firstAttribute="top" secondItem="6Tk-OE-BBY" secondAttribute="top" id="fn8-6Z-tv4"/>
|
||||
<constraint firstItem="T9y-OT-OQS" firstAttribute="leading" secondItem="6Tk-OE-BBY" secondAttribute="leading" constant="33" id="iMB-Zg-Hsa"/>
|
||||
<constraint firstItem="VfD-z1-Okj" firstAttribute="leading" secondItem="6Tk-OE-BBY" secondAttribute="leading" constant="8" id="izE-la-Fhu"/>
|
||||
<constraint firstItem="wN7-2M-FdP" firstAttribute="top" secondItem="VfD-z1-Okj" secondAttribute="bottom" constant="9" id="jcU-7c-FNS"/>
|
||||
<constraint firstItem="HJ5-UE-PrR" firstAttribute="centerY" secondItem="rc6-ZX-igF" secondAttribute="centerY" id="lpA-wq-cXI"/>
|
||||
<constraint firstItem="6Tk-OE-BBY" firstAttribute="trailing" secondItem="T9y-OT-OQS" secondAttribute="trailing" constant="33" id="mD1-P0-mgB"/>
|
||||
<constraint firstItem="rc6-ZX-igF" firstAttribute="centerX" secondItem="0tm-fo-hjF" secondAttribute="centerX" id="p5w-6o-OqW"/>
|
||||
<constraint firstItem="rc6-ZX-igF" firstAttribute="top" secondItem="0tm-fo-hjF" secondAttribute="bottom" constant="8" id="rzr-oM-f7f"/>
|
||||
<constraint firstItem="6Tk-OE-BBY" firstAttribute="trailing" secondItem="HJ5-UE-PrR" secondAttribute="trailing" constant="30" id="tYA-x1-MRj"/>
|
||||
<constraint firstItem="T9y-OT-OQS" firstAttribute="top" secondItem="ptx-ND-Ywq" secondAttribute="bottom" constant="10" id="vNp-h8-QF9"/>
|
||||
<constraint firstItem="VfD-z1-Okj" firstAttribute="baseline" secondItem="lu6-Fq-OIg" secondAttribute="baseline" id="wcZ-9g-OTX"/>
|
||||
<constraint firstItem="6Tk-OE-BBY" firstAttribute="bottom" secondItem="wN7-2M-FdP" secondAttribute="bottom" constant="12" id="xm2-Eb-dxp"/>
|
||||
<constraint firstItem="wN7-2M-FdP" firstAttribute="top" secondItem="yZw-YR-x44" secondAttribute="top" id="yHi-Fb-V4o"/>
|
||||
<constraint firstItem="yZw-YR-x44" firstAttribute="centerX" secondItem="lu6-Fq-OIg" secondAttribute="centerX" id="yXW-Ap-sa7"/>
|
||||
<constraint firstItem="VfD-z1-Okj" firstAttribute="centerY" secondItem="lu6-Fq-OIg" secondAttribute="centerY" id="zQ1-gg-Rnh"/>
|
||||
</constraints>
|
||||
<viewLayoutGuide key="safeArea" id="6Tk-OE-BBY"/>
|
||||
</view>
|
||||
<connections>
|
||||
<outlet property="flag_back_cam" destination="yZw-YR-x44" id="z5O-BW-sm7"/>
|
||||
<outlet property="flag_process" destination="wN7-2M-FdP" id="i8h-CM-ida"/>
|
||||
<outlet property="flag_video" destination="rc6-ZX-igF" id="Uch-KB-gwF"/>
|
||||
<outlet property="imageView" destination="ptx-ND-Ywq" id="XjA-C2-hvm"/>
|
||||
<outlet property="result" destination="T9y-OT-OQS" id="6kB-Ha-dfo"/>
|
||||
</connections>
|
||||
</viewController>
|
||||
<placeholder placeholderIdentifier="IBFirstResponder" id="dkx-z0-nzr" sceneMemberID="firstResponder"/>
|
||||
</objects>
|
||||
<point key="canvasLocation" x="53.600000000000001" y="62.518740629685162"/>
|
||||
</scene>
|
||||
</scenes>
|
||||
</document>
|
|
@ -0,0 +1,20 @@
|
|||
//
|
||||
// Created by chenxiaoyu on 2018/5/5.
|
||||
// Copyright (c) 2018 baidu. All rights reserved.
|
||||
//
|
||||
|
||||
#import <Foundation/Foundation.h>
|
||||
#import <UIKit/UIKit.h>
|
||||
#import "OcrData.h"
|
||||
|
||||
|
||||
@interface BoxLayer : CAShapeLayer
|
||||
|
||||
/**
|
||||
* 绘制OCR的结果
|
||||
*/
|
||||
-(void) renderOcrPolygon: (OcrData *)data withHeight:(CGFloat)originHeight withWidth:(CGFloat)originWidth withLabel:(bool) withLabel;
|
||||
|
||||
|
||||
|
||||
@end
|
|
@ -0,0 +1,80 @@
|
|||
//
|
||||
// Created by chenxiaoyu on 2018/5/5.
|
||||
// Copyright (c) 2018 baidu. All rights reserved.
|
||||
//
|
||||
|
||||
#include "BoxLayer.h"
|
||||
#import "Helpers.h"
|
||||
|
||||
@implementation BoxLayer {
|
||||
|
||||
}
|
||||
|
||||
#define MAIN_COLOR UIColorFromRGB(0x3B85F5)
|
||||
- (void)renderOcrPolygon:(OcrData *)d withHeight:(CGFloat)originHeight withWidth:(CGFloat)originWidth withLabel:(bool)withLabel {
|
||||
|
||||
if ([d.polygonPoints count] != 4) {
|
||||
NSLog(@"poloygonPoints size is not 4");
|
||||
return;
|
||||
}
|
||||
|
||||
CGPoint startPoint = [d.polygonPoints[0] CGPointValue];
|
||||
NSString *text = d.label;
|
||||
|
||||
CGFloat x = startPoint.x * originWidth;
|
||||
CGFloat y = startPoint.y * originHeight;
|
||||
CGFloat width = originWidth - x;
|
||||
CGFloat height = originHeight - y;
|
||||
|
||||
|
||||
UIFont *font = [UIFont systemFontOfSize:16];
|
||||
NSDictionary *attrs = @{
|
||||
// NSStrokeColorAttributeName: [UIColor blackColor],
|
||||
NSForegroundColorAttributeName: [UIColor whiteColor],
|
||||
// NSStrokeWidthAttributeName : @((float) -6.0),
|
||||
NSFontAttributeName: font
|
||||
};
|
||||
|
||||
|
||||
if (withLabel) {
|
||||
NSAttributedString *displayStr = [[NSAttributedString alloc] initWithString:text attributes:attrs];
|
||||
CATextLayer *textLayer = [[CATextLayer alloc] init];
|
||||
textLayer.wrapped = YES;
|
||||
textLayer.string = displayStr;
|
||||
textLayer.frame = CGRectMake(x + 2, y + 2, width, height);
|
||||
textLayer.contentsScale = [[UIScreen mainScreen] scale];
|
||||
|
||||
// 加阴影显得有点乱
|
||||
// textLayer.shadowColor = [MAIN_COLOR CGColor];
|
||||
// textLayer.shadowOffset = CGSizeMake(2.0, 2.0);
|
||||
// textLayer.shadowOpacity = 0.8;
|
||||
// textLayer.shadowRadius = 0.0;
|
||||
|
||||
[self addSublayer:textLayer];
|
||||
}
|
||||
|
||||
|
||||
UIBezierPath *path = [UIBezierPath new];
|
||||
|
||||
|
||||
[path moveToPoint:CGPointMake(startPoint.x * originWidth, startPoint.y * originHeight)];
|
||||
for (NSValue *val in d.polygonPoints) {
|
||||
CGPoint p = [val CGPointValue];
|
||||
[path addLineToPoint:CGPointMake(p.x * originWidth, p.y * originHeight)];
|
||||
}
|
||||
[path closePath];
|
||||
|
||||
self.path = path.CGPath;
|
||||
self.strokeColor = MAIN_COLOR.CGColor;
|
||||
self.lineWidth = 2.0;
|
||||
self.fillColor = [MAIN_COLOR colorWithAlphaComponent:0.2].CGColor;
|
||||
self.lineJoin = kCALineJoinBevel;
|
||||
|
||||
}
|
||||
|
||||
- (void)renderSingleBox:(OcrData *)data withHeight:(CGFloat)originHeight withWidth:(CGFloat)originWidth {
|
||||
[self renderOcrPolygon:data withHeight:originHeight withWidth:originWidth withLabel:YES];
|
||||
}
|
||||
|
||||
|
||||
@end
|
|
@ -0,0 +1,31 @@
|
|||
//
|
||||
// Helpers.h
|
||||
// EasyDLDemo
|
||||
//
|
||||
// Created by chenxiaoyu on 2018/5/14.
|
||||
// Copyright © 2018年 baidu. All rights reserved.
|
||||
//
|
||||
|
||||
#import <Foundation/Foundation.h>
|
||||
#import <UIKit/UIImage.h>
|
||||
|
||||
#define UIColorFromRGB(rgbValue) \
|
||||
[UIColor colorWithRed:((float)((rgbValue & 0xFF0000) >> 16))/255.0 \
|
||||
green:((float)((rgbValue & 0x00FF00) >> 8))/255.0 \
|
||||
blue:((float)((rgbValue & 0x0000FF) >> 0))/255.0 \
|
||||
alpha:1.0]
|
||||
|
||||
#define SCREEN_HEIGHT [UIScreen mainScreen].bounds.size.height
|
||||
#define SCREEN_WIDTH [UIScreen mainScreen].bounds.size.width
|
||||
|
||||
#define HIGHLIGHT_COLOR UIColorFromRGB(0xF5A623)
|
||||
|
||||
//#define BTN_HIGHTLIGH_TEXT_COLOR UIColorFromRGB(0xF5A623)
|
||||
|
||||
|
||||
@interface Helpers : NSObject {
|
||||
|
||||
|
||||
}
|
||||
|
||||
@end
|
|
@ -0,0 +1,17 @@
|
|||
//
|
||||
// Helpers.m
|
||||
// EasyDLDemo
|
||||
//
|
||||
// Created by chenxiaoyu on 2018/5/14.
|
||||
// Copyright © 2018年 baidu. All rights reserved.
|
||||
//
|
||||
|
||||
#import "Helpers.h"
|
||||
|
||||
|
||||
|
||||
@implementation Helpers
|
||||
|
||||
|
||||
|
||||
@end
|
|
@ -0,0 +1,49 @@
|
|||
<?xml version="1.0" encoding="UTF-8"?>
|
||||
<!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
|
||||
<plist version="1.0">
|
||||
<dict>
|
||||
<key>CFBundleDevelopmentRegion</key>
|
||||
<string>$(DEVELOPMENT_LANGUAGE)</string>
|
||||
<key>CFBundleDisplayName</key>
|
||||
<string>$(PRODUCT_NAME)</string>
|
||||
<key>CFBundleExecutable</key>
|
||||
<string>$(EXECUTABLE_NAME)</string>
|
||||
<key>CFBundleIdentifier</key>
|
||||
<string>$(PRODUCT_BUNDLE_IDENTIFIER)</string>
|
||||
<key>CFBundleInfoDictionaryVersion</key>
|
||||
<string>6.0</string>
|
||||
<key>CFBundleName</key>
|
||||
<string>$(PRODUCT_NAME)</string>
|
||||
<key>CFBundlePackageType</key>
|
||||
<string>APPL</string>
|
||||
<key>CFBundleShortVersionString</key>
|
||||
<string>0.1</string>
|
||||
<key>CFBundleVersion</key>
|
||||
<string>1</string>
|
||||
<key>LSRequiresIPhoneOS</key>
|
||||
<true/>
|
||||
<key>NSCameraUsageDescription</key>
|
||||
<string>for test</string>
|
||||
<key>UILaunchStoryboardName</key>
|
||||
<string>LaunchScreen</string>
|
||||
<key>UIMainStoryboardFile</key>
|
||||
<string>Main</string>
|
||||
<key>UIRequiredDeviceCapabilities</key>
|
||||
<array>
|
||||
<string>armv7</string>
|
||||
</array>
|
||||
<key>UISupportedInterfaceOrientations</key>
|
||||
<array>
|
||||
<string>UIInterfaceOrientationPortrait</string>
|
||||
<string>UIInterfaceOrientationLandscapeLeft</string>
|
||||
<string>UIInterfaceOrientationLandscapeRight</string>
|
||||
</array>
|
||||
<key>UISupportedInterfaceOrientations~ipad</key>
|
||||
<array>
|
||||
<string>UIInterfaceOrientationPortrait</string>
|
||||
<string>UIInterfaceOrientationPortraitUpsideDown</string>
|
||||
<string>UIInterfaceOrientationLandscapeLeft</string>
|
||||
<string>UIInterfaceOrientationLandscapeRight</string>
|
||||
</array>
|
||||
</dict>
|
||||
</plist>
|
|
@ -0,0 +1,15 @@
|
|||
//
|
||||
// Created by Lv,Xiangxiang on 2020/7/11.
|
||||
// Copyright (c) 2020 Li,Xiaoyang(SYS). All rights reserved.
|
||||
//
|
||||
|
||||
#import <Foundation/Foundation.h>
|
||||
|
||||
|
||||
@interface OcrData : NSObject
|
||||
@property(nonatomic, copy) NSString *label;
|
||||
@property(nonatomic) int category;
|
||||
@property(nonatomic) float accuracy;
|
||||
@property(nonatomic) NSArray *polygonPoints;
|
||||
|
||||
@end
|
|
@ -0,0 +1,12 @@
|
|||
//
|
||||
// Created by Lv,Xiangxiang on 2020/7/11.
|
||||
// Copyright (c) 2020 Li,Xiaoyang(SYS). All rights reserved.
|
||||
//
|
||||
|
||||
#import "OcrData.h"
|
||||
|
||||
|
||||
@implementation OcrData {
|
||||
|
||||
}
|
||||
@end
|
|
@ -0,0 +1,16 @@
|
|||
//
|
||||
// ViewController.h
|
||||
// seg_demo
|
||||
//
|
||||
// Created by Li,Xiaoyang(SYS) on 2018/11/13.
|
||||
// Copyright © 2018年 Li,Xiaoyang(SYS). All rights reserved.
|
||||
//
|
||||
|
||||
#import <UIKit/UIKit.h>
|
||||
|
||||
|
||||
@interface ViewController : UIViewController
|
||||
|
||||
|
||||
@end
|
||||
|
|
@ -0,0 +1,536 @@
|
|||
//
|
||||
// Created by lvxiangxiang on 2020/7/10.
|
||||
// Copyright (c) 2020 baidu. All rights reserved.
|
||||
//
|
||||
|
||||
#import <opencv2/opencv.hpp>
|
||||
#import <opencv2/imgcodecs/ios.h>
|
||||
#import <opencv2/videoio/cap_ios.h>
|
||||
//#import <opencv2/highgui/ios.h>
|
||||
#import "ViewController.h"
|
||||
#import "BoxLayer.h"
|
||||
|
||||
#include "include/paddle_api.h"
|
||||
#include "timer.h"
|
||||
#import "pdocr/ocr_db_post_process.h"
|
||||
#import "pdocr/ocr_crnn_process.h"
|
||||
|
||||
using namespace paddle::lite_api;
|
||||
using namespace cv;
|
||||
|
||||
struct Object {
|
||||
int batch_id;
|
||||
cv::Rect rec;
|
||||
int class_id;
|
||||
float prob;
|
||||
};
|
||||
|
||||
std::mutex mtx;
|
||||
std::shared_ptr<PaddlePredictor> net_ocr1;
|
||||
std::shared_ptr<PaddlePredictor> net_ocr2;
|
||||
Timer tic;
|
||||
long long count = 0;
|
||||
|
||||
double tensor_mean(const Tensor &tin) {
|
||||
auto shape = tin.shape();
|
||||
int64_t size = 1;
|
||||
for (int i = 0; i < shape.size(); i++) {
|
||||
size *= shape[i];
|
||||
}
|
||||
double mean = 0.;
|
||||
auto ptr = tin.data<float>();
|
||||
for (int i = 0; i < size; i++) {
|
||||
mean += ptr[i];
|
||||
}
|
||||
return mean / size;
|
||||
}
|
||||
|
||||
cv::Mat resize_img_type0(const cv::Mat &img, int max_size_len, float *ratio_h, float *ratio_w) {
|
||||
int w = img.cols;
|
||||
int h = img.rows;
|
||||
|
||||
float ratio = 1.f;
|
||||
int max_wh = w >= h ? w : h;
|
||||
if (max_wh > max_size_len) {
|
||||
if (h > w) {
|
||||
ratio = float(max_size_len) / float(h);
|
||||
} else {
|
||||
ratio = float(max_size_len) / float(w);
|
||||
}
|
||||
}
|
||||
|
||||
int resize_h = int(float(h) * ratio);
|
||||
int resize_w = int(float(w) * ratio);
|
||||
if (resize_h % 32 == 0)
|
||||
resize_h = resize_h;
|
||||
else if (resize_h / 32 < 1)
|
||||
resize_h = 32;
|
||||
else
|
||||
resize_h = (resize_h / 32 - 1) * 32;
|
||||
|
||||
if (resize_w % 32 == 0)
|
||||
resize_w = resize_w;
|
||||
else if (resize_w / 32 < 1)
|
||||
resize_w = 32;
|
||||
else
|
||||
resize_w = (resize_w / 32 - 1) * 32;
|
||||
|
||||
cv::Mat resize_img;
|
||||
cv::resize(img, resize_img, cv::Size(resize_w, resize_h));
|
||||
|
||||
*ratio_h = float(resize_h) / float(h);
|
||||
*ratio_w = float(resize_w) / float(w);
|
||||
return resize_img;
|
||||
}
|
||||
|
||||
void neon_mean_scale(const float *din, float *dout, int size, std::vector<float> mean, std::vector<float> scale) {
|
||||
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(1.f / scale[0]);
|
||||
float32x4_t vscale1 = vdupq_n_f32(1.f / scale[1]);
|
||||
float32x4_t vscale2 = vdupq_n_f32(1.f / 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];
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
// fill tensor with mean and scale, neon speed up
|
||||
void fill_tensor_with_cvmat(const Mat &img_in, Tensor &tout, int width, int height,
|
||||
std::vector<float> mean, std::vector<float> scale, bool is_scale) {
|
||||
if (img_in.channels() == 4) {
|
||||
cv::cvtColor(img_in, img_in, CV_RGBA2RGB);
|
||||
}
|
||||
cv::Mat im;
|
||||
cv::resize(img_in, im, cv::Size(width, height), 0.f, 0.f);
|
||||
cv::Mat imgf;
|
||||
float scale_factor = is_scale ? 1 / 255.f : 1.f;
|
||||
im.convertTo(imgf, CV_32FC3, scale_factor);
|
||||
const float *dimg = reinterpret_cast<const float *>(imgf.data);
|
||||
float *dout = tout.mutable_data<float>();
|
||||
neon_mean_scale(dimg, dout, width * height, mean, scale);
|
||||
}
|
||||
|
||||
std::vector<Object> detect_object(const float *data,
|
||||
int count,
|
||||
const std::vector<std::vector<uint64_t>> &lod,
|
||||
const float thresh,
|
||||
Mat &image) {
|
||||
std::vector<Object> rect_out;
|
||||
const float *dout = data;
|
||||
for (int iw = 0; iw < count; iw++) {
|
||||
int oriw = image.cols;
|
||||
int orih = image.rows;
|
||||
if (dout[1] > thresh && static_cast<int>(dout[0]) > 0) {
|
||||
Object obj;
|
||||
int x = static_cast<int>(dout[2] * oriw);
|
||||
int y = static_cast<int>(dout[3] * orih);
|
||||
int w = static_cast<int>(dout[4] * oriw) - x;
|
||||
int h = static_cast<int>(dout[5] * orih) - y;
|
||||
cv::Rect rec_clip = cv::Rect(x, y, w, h) & cv::Rect(0, 0, image.cols, image.rows);
|
||||
obj.batch_id = 0;
|
||||
obj.class_id = static_cast<int>(dout[0]);
|
||||
obj.prob = dout[1];
|
||||
obj.rec = rec_clip;
|
||||
if (w > 0 && h > 0 && obj.prob <= 1) {
|
||||
rect_out.push_back(obj);
|
||||
cv::rectangle(image, rec_clip, cv::Scalar(255, 0, 0));
|
||||
}
|
||||
}
|
||||
dout += 6;
|
||||
}
|
||||
return rect_out;
|
||||
}
|
||||
|
||||
@interface ViewController () <CvVideoCameraDelegate>
|
||||
@property(weak, nonatomic) IBOutlet UIImageView *imageView;
|
||||
@property(weak, nonatomic) IBOutlet UISwitch *flag_process;
|
||||
@property(weak, nonatomic) IBOutlet UISwitch *flag_video;
|
||||
@property(weak, nonatomic) IBOutlet UIImageView *preView;
|
||||
@property(weak, nonatomic) IBOutlet UISwitch *flag_back_cam;
|
||||
@property(weak, nonatomic) IBOutlet UILabel *result;
|
||||
@property(nonatomic, strong) CvVideoCamera *videoCamera;
|
||||
@property(nonatomic, strong) UIImage *image;
|
||||
@property(nonatomic) bool flag_init;
|
||||
@property(nonatomic) bool flag_cap_photo;
|
||||
@property(nonatomic) std::vector<float> scale;
|
||||
@property(nonatomic) std::vector<float> mean;
|
||||
@property(nonatomic) NSArray *labels;
|
||||
@property(nonatomic) cv::Mat cvimg;
|
||||
@property(nonatomic, strong) UIImage *ui_img_test;
|
||||
@property(strong, nonatomic) CALayer *boxLayer;
|
||||
|
||||
@end
|
||||
|
||||
@implementation ViewController
|
||||
@synthesize imageView;
|
||||
|
||||
- (OcrData *)paddleOcrRec:(cv::Mat)image {
|
||||
|
||||
OcrData *result = [OcrData new];
|
||||
|
||||
std::vector<float> mean = {0.5f, 0.5f, 0.5f};
|
||||
std::vector<float> scale = {1 / 0.5f, 1 / 0.5f, 1 / 0.5f};
|
||||
|
||||
cv::Mat crop_img;
|
||||
image.copyTo(crop_img);
|
||||
cv::Mat resize_img;
|
||||
|
||||
|
||||
float wh_ratio = float(crop_img.cols) / float(crop_img.rows);
|
||||
|
||||
resize_img = crnn_resize_img(crop_img, wh_ratio);
|
||||
resize_img.convertTo(resize_img, CV_32FC3, 1 / 255.f);
|
||||
|
||||
const float *dimg = reinterpret_cast<const float *>(resize_img.data);
|
||||
|
||||
std::unique_ptr<Tensor> input_tensor0(std::move(net_ocr2->GetInput(0)));
|
||||
input_tensor0->Resize({1, 3, resize_img.rows, resize_img.cols});
|
||||
auto *data0 = input_tensor0->mutable_data<float>();
|
||||
|
||||
neon_mean_scale(dimg, data0, resize_img.rows * resize_img.cols, mean, scale);
|
||||
|
||||
//// Run CRNN predictor
|
||||
net_ocr2->Run();
|
||||
|
||||
// Get output and run postprocess
|
||||
std::unique_ptr<const Tensor> output_tensor0(std::move(net_ocr2->GetOutput(0)));
|
||||
auto *rec_idx = output_tensor0->data<int>();
|
||||
|
||||
auto rec_idx_lod = output_tensor0->lod();
|
||||
auto shape_out = output_tensor0->shape();
|
||||
NSMutableString *text = [[NSMutableString alloc] init];
|
||||
for (int n = int(rec_idx_lod[0][0]); n < int(rec_idx_lod[0][1] * 2); n += 2) {
|
||||
if (rec_idx[n] >= self.labels.count) {
|
||||
std::cout << "Index " << rec_idx[n] << " out of text dict range!" << std::endl;
|
||||
continue;
|
||||
}
|
||||
[text appendString:self.labels[rec_idx[n]]];
|
||||
}
|
||||
|
||||
result.label = text;
|
||||
// get score
|
||||
std::unique_ptr<const Tensor> output_tensor1(std::move(net_ocr2->GetOutput(1)));
|
||||
auto *predict_batch = output_tensor1->data<float>();
|
||||
auto predict_shape = output_tensor1->shape();
|
||||
|
||||
auto predict_lod = output_tensor1->lod();
|
||||
|
||||
int argmax_idx;
|
||||
int blank = predict_shape[1];
|
||||
float score = 0.f;
|
||||
int count = 0;
|
||||
float max_value = 0.0f;
|
||||
|
||||
for (int n = predict_lod[0][0]; n < predict_lod[0][1] - 1; n++) {
|
||||
argmax_idx = int(argmax(&predict_batch[n * predict_shape[1]], &predict_batch[(n + 1) * predict_shape[1]]));
|
||||
max_value = float(*std::max_element(&predict_batch[n * predict_shape[1]], &predict_batch[(n + 1) * predict_shape[1]]));
|
||||
|
||||
if (blank - 1 - argmax_idx > 1e-5) {
|
||||
score += max_value;
|
||||
count += 1;
|
||||
}
|
||||
|
||||
}
|
||||
score /= count;
|
||||
result.accuracy = score;
|
||||
return result;
|
||||
}
|
||||
- (NSArray *) ocr_infer:(cv::Mat) originImage{
|
||||
int max_side_len = 960;
|
||||
float ratio_h{};
|
||||
float ratio_w{};
|
||||
cv::Mat image;
|
||||
cv::cvtColor(originImage, image, cv::COLOR_RGB2BGR);
|
||||
|
||||
cv::Mat img;
|
||||
image.copyTo(img);
|
||||
|
||||
img = resize_img_type0(img, max_side_len, &ratio_h, &ratio_w);
|
||||
cv::Mat img_fp;
|
||||
img.convertTo(img_fp, CV_32FC3, 1.0 / 255.f);
|
||||
|
||||
std::unique_ptr<Tensor> input_tensor(net_ocr1->GetInput(0));
|
||||
input_tensor->Resize({1, 3, img_fp.rows, img_fp.cols});
|
||||
auto *data0 = input_tensor->mutable_data<float>();
|
||||
const float *dimg = reinterpret_cast<const float *>(img_fp.data);
|
||||
neon_mean_scale(dimg, data0, img_fp.rows * img_fp.cols, self.mean, self.scale);
|
||||
tic.clear();
|
||||
tic.start();
|
||||
net_ocr1->Run();
|
||||
std::unique_ptr<const Tensor> output_tensor(std::move(net_ocr1->GetOutput(0)));
|
||||
auto *outptr = output_tensor->data<float>();
|
||||
auto shape_out = output_tensor->shape();
|
||||
|
||||
int64_t out_numl = 1;
|
||||
double sum = 0;
|
||||
for (auto i : shape_out) {
|
||||
out_numl *= i;
|
||||
}
|
||||
|
||||
int s2 = int(shape_out[2]);
|
||||
int s3 = int(shape_out[3]);
|
||||
|
||||
cv::Mat pred_map = cv::Mat::zeros(s2, s3, CV_32F);
|
||||
memcpy(pred_map.data, outptr, s2 * s3 * sizeof(float));
|
||||
cv::Mat cbuf_map;
|
||||
pred_map.convertTo(cbuf_map, CV_8UC1, 255.0f);
|
||||
|
||||
const double threshold = 0.1 * 255;
|
||||
const double maxvalue = 255;
|
||||
cv::Mat bit_map;
|
||||
cv::threshold(cbuf_map, bit_map, threshold, maxvalue, cv::THRESH_BINARY);
|
||||
|
||||
auto boxes = boxes_from_bitmap(pred_map, bit_map);
|
||||
|
||||
std::vector<std::vector<std::vector<int>>> filter_boxes = filter_tag_det_res(boxes, ratio_h, ratio_w, image);
|
||||
|
||||
|
||||
cv::Point rook_points[filter_boxes.size()][4];
|
||||
|
||||
for (int n = 0; n < filter_boxes.size(); n++) {
|
||||
for (int m = 0; m < filter_boxes[0].size(); m++) {
|
||||
rook_points[n][m] = cv::Point(int(filter_boxes[n][m][0]), int(filter_boxes[n][m][1]));
|
||||
}
|
||||
}
|
||||
|
||||
NSMutableArray *result = [[NSMutableArray alloc] init];
|
||||
|
||||
for (int i = 0; i < filter_boxes.size(); i++) {
|
||||
cv::Mat crop_img;
|
||||
crop_img = get_rotate_crop_image(image, filter_boxes[i]);
|
||||
OcrData *r = [self paddleOcrRec:crop_img ];
|
||||
NSMutableArray *points = [NSMutableArray new];
|
||||
for (int jj = 0; jj < 4; ++jj) {
|
||||
NSValue *v = [NSValue valueWithCGPoint:CGPointMake(
|
||||
rook_points[i][jj].x / CGFloat(originImage.cols),
|
||||
rook_points[i][jj].y / CGFloat(originImage.rows))];
|
||||
[points addObject:v];
|
||||
}
|
||||
r.polygonPoints = points;
|
||||
[result addObject:r];
|
||||
}
|
||||
NSArray* rec_out =[[result reverseObjectEnumerator] allObjects];
|
||||
tic.end();
|
||||
std::cout<<"infer time: "<<tic.get_sum_ms()<<"ms"<<std::endl;
|
||||
return rec_out;
|
||||
}
|
||||
- (NSArray *)readLabelsFromFile:(NSString *)labelFilePath {
|
||||
|
||||
NSString *content = [NSString stringWithContentsOfFile:labelFilePath encoding:NSUTF8StringEncoding error:nil];
|
||||
NSArray *lines = [content componentsSeparatedByCharactersInSet:[NSCharacterSet newlineCharacterSet]];
|
||||
NSMutableArray *ret = [[NSMutableArray alloc] init];
|
||||
for (int i = 0; i < lines.count; ++i) {
|
||||
[ret addObject:@""];
|
||||
}
|
||||
NSUInteger cnt = 0;
|
||||
for (id line in lines) {
|
||||
NSString *l = [(NSString *) line stringByTrimmingCharactersInSet:[NSCharacterSet whitespaceAndNewlineCharacterSet]];
|
||||
if ([l length] == 0)
|
||||
continue;
|
||||
NSArray *segs = [l componentsSeparatedByString:@":"];
|
||||
NSUInteger key;
|
||||
NSString *value;
|
||||
if ([segs count] != 2) {
|
||||
key = cnt;
|
||||
value = [segs[0] stringByTrimmingCharactersInSet:[NSCharacterSet whitespaceAndNewlineCharacterSet]];
|
||||
} else {
|
||||
key = [[segs[0] stringByTrimmingCharactersInSet:[NSCharacterSet whitespaceAndNewlineCharacterSet]] integerValue];
|
||||
value = [segs[1] stringByTrimmingCharactersInSet:[NSCharacterSet whitespaceAndNewlineCharacterSet]];
|
||||
}
|
||||
|
||||
ret[key] = value;
|
||||
cnt += 1;
|
||||
}
|
||||
return [NSArray arrayWithArray:ret];
|
||||
}
|
||||
|
||||
- (void)viewDidAppear:(BOOL)animated {
|
||||
[super viewDidAppear:animated];
|
||||
self.boxLayer = [[CALayer alloc] init];
|
||||
|
||||
CGRect r = AVMakeRectWithAspectRatioInsideRect(self.imageView.frame.size, self.imageView.bounds);
|
||||
std::cout<<self.imageView.frame.size.width<<","<<self.imageView.frame.size.height<<std::endl;
|
||||
self.boxLayer.frame = r;
|
||||
|
||||
[self.imageView.layer addSublayer:self.boxLayer];
|
||||
|
||||
NSString *label_file_path = [[NSBundle mainBundle] pathForResource:[NSString stringWithFormat:@"%@", @"label_list"] ofType:@"txt"];
|
||||
|
||||
self.labels = [self readLabelsFromFile:label_file_path];
|
||||
self.mean = {0.485f, 0.456f, 0.406f};
|
||||
self.scale = {1 / 0.229f, 1 / 0.224f, 1 / 0.225f};
|
||||
|
||||
NSString *model1_path = [[NSBundle mainBundle] pathForResource:[NSString stringWithFormat:@"%@", @"ch_det_mv3_db_opt"] ofType:@"nb"];
|
||||
NSString *model2_path = [[NSBundle mainBundle] pathForResource:[NSString stringWithFormat:@"%@", @"ch_rec_mv3_crnn_opt"] ofType:@"nb"];
|
||||
std::string model1_path_str = std::string([model1_path UTF8String]);
|
||||
std::string model2_path_str = std::string([model2_path UTF8String]);
|
||||
MobileConfig config;
|
||||
config.set_model_from_file(model1_path_str);
|
||||
net_ocr1 = CreatePaddlePredictor<MobileConfig>(config);
|
||||
MobileConfig config2;
|
||||
config2.set_model_from_file(model2_path_str);
|
||||
net_ocr2 = CreatePaddlePredictor<MobileConfig>(config2);
|
||||
|
||||
|
||||
cv::Mat originImage;
|
||||
UIImageToMat(self.image, originImage);
|
||||
NSArray *rec_out = [self ocr_infer:originImage];
|
||||
[_boxLayer.sublayers makeObjectsPerformSelector:@selector(removeFromSuperlayer)];
|
||||
std::cout<<self.imageView.image.size.width<<","<<self.imageView.image.size.height<<std::endl;
|
||||
|
||||
CGFloat h = _boxLayer.frame.size.height;
|
||||
CGFloat w = _boxLayer.frame.size.width;
|
||||
std::ostringstream result2;
|
||||
NSInteger cnt = 0;
|
||||
for (id obj in rec_out) {
|
||||
OcrData *data = obj;
|
||||
BoxLayer *singleBox = [[BoxLayer alloc] init];
|
||||
[singleBox renderOcrPolygon:data withHeight:h withWidth:w withLabel:YES];
|
||||
[_boxLayer addSublayer:singleBox];
|
||||
result2<<[data.label UTF8String] <<","<<data.accuracy<<"\n";
|
||||
cnt += 1;
|
||||
}
|
||||
self.flag_init = true;
|
||||
}
|
||||
|
||||
- (void)viewDidLoad {
|
||||
[super viewDidLoad];
|
||||
// Do any additional setup after loading the view, typically from a nib.
|
||||
_flag_process.on = NO;
|
||||
_flag_back_cam.on = NO;
|
||||
_flag_video.on = NO;
|
||||
_flag_cap_photo = false;
|
||||
_image = [UIImage imageNamed:@"ocr.png"];
|
||||
if (_image != nil) {
|
||||
printf("load image successed\n");
|
||||
imageView.image = _image;
|
||||
} else {
|
||||
printf("load image failed\n");
|
||||
}
|
||||
|
||||
[_flag_process addTarget:self action:@selector(PSwitchValueChanged:) forControlEvents:UIControlEventValueChanged];
|
||||
[_flag_back_cam addTarget:self action:@selector(CSwitchValueChanged:) forControlEvents:UIControlEventValueChanged];
|
||||
|
||||
self.videoCamera = [[CvVideoCamera alloc] initWithParentView:self.preView];
|
||||
self.videoCamera.delegate = self;
|
||||
self.videoCamera.defaultAVCaptureDevicePosition = AVCaptureDevicePositionFront;
|
||||
self.videoCamera.defaultAVCaptureSessionPreset = AVCaptureSessionPreset1920x1080;
|
||||
self.videoCamera.defaultAVCaptureVideoOrientation = AVCaptureVideoOrientationPortrait;
|
||||
self.videoCamera.rotateVideo = 90;
|
||||
self.videoCamera.defaultFPS = 30;
|
||||
[self.view insertSubview:self.imageView atIndex:0];
|
||||
}
|
||||
|
||||
- (IBAction)swith_video_photo:(UISwitch *)sender {
|
||||
NSLog(@"%@", sender.isOn ? @"video ON" : @"video OFF");
|
||||
if (sender.isOn) {
|
||||
self.flag_video.on = YES;
|
||||
} else {
|
||||
self.flag_video.on = NO;
|
||||
}
|
||||
}
|
||||
|
||||
- (IBAction)cap_photo:(id)sender {
|
||||
if (!self.flag_process.isOn) {
|
||||
self.result.text = @"please turn on the camera firstly";
|
||||
} else {
|
||||
self.flag_cap_photo = true;
|
||||
}
|
||||
}
|
||||
|
||||
- (void)PSwitchValueChanged:(UISwitch *)sender {
|
||||
NSLog(@"%@", sender.isOn ? @"process ON" : @"process OFF");
|
||||
if (sender.isOn) {
|
||||
[self.videoCamera start];
|
||||
} else {
|
||||
[self.videoCamera stop];
|
||||
}
|
||||
}
|
||||
|
||||
- (void)CSwitchValueChanged:(UISwitch *)sender {
|
||||
NSLog(@"%@", sender.isOn ? @"back ON" : @"back OFF");
|
||||
if (sender.isOn) {
|
||||
if (self.flag_process.isOn) {
|
||||
[self.videoCamera stop];
|
||||
}
|
||||
self.videoCamera.defaultAVCaptureDevicePosition = AVCaptureDevicePositionBack ;
|
||||
if (self.flag_process.isOn) {
|
||||
[self.videoCamera start];
|
||||
}
|
||||
} else {
|
||||
if (self.flag_process.isOn) {
|
||||
[self.videoCamera stop];
|
||||
}
|
||||
self.videoCamera.defaultAVCaptureDevicePosition = AVCaptureDevicePositionFront;
|
||||
if (self.flag_process.isOn) {
|
||||
[self.videoCamera start];
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
- (void)processImage:(cv::Mat &)image {
|
||||
|
||||
dispatch_async(dispatch_get_main_queue(), ^{
|
||||
if (self.flag_process.isOn) {
|
||||
if (self.flag_init) {
|
||||
if (self.flag_video.isOn || self.flag_cap_photo) {
|
||||
self.flag_cap_photo = false;
|
||||
if (image.channels() == 4) {
|
||||
cvtColor(image, self->_cvimg, CV_RGBA2RGB);
|
||||
}
|
||||
auto rec_out =[self ocr_infer:self->_cvimg];
|
||||
std::ostringstream result;
|
||||
NSInteger cnt = 0;
|
||||
[_boxLayer.sublayers makeObjectsPerformSelector:@selector(removeFromSuperlayer)];
|
||||
|
||||
CGFloat h = _boxLayer.frame.size.height;
|
||||
CGFloat w = _boxLayer.frame.size.width;
|
||||
for (id obj in rec_out) {
|
||||
OcrData *data = obj;
|
||||
BoxLayer *singleBox = [[BoxLayer alloc] init];
|
||||
[singleBox renderOcrPolygon:data withHeight:h withWidth:w withLabel:YES];
|
||||
[_boxLayer addSublayer:singleBox];
|
||||
result<<[data.label UTF8String] <<","<<data.accuracy<<"\n";
|
||||
cnt += 1;
|
||||
}
|
||||
cvtColor(self->_cvimg, self->_cvimg, CV_RGB2BGR);
|
||||
self.imageView.image = MatToUIImage(self->_cvimg);
|
||||
}
|
||||
}
|
||||
}
|
||||
});
|
||||
}
|
||||
|
||||
- (void)didReceiveMemoryWarning {
|
||||
[super didReceiveMemoryWarning];
|
||||
// Dispose of any resources that can be recreated.
|
||||
}
|
||||
|
||||
@end
|
File diff suppressed because it is too large
Load Diff
|
@ -0,0 +1,16 @@
|
|||
//
|
||||
// main.m
|
||||
// seg_demo
|
||||
//
|
||||
// Created by Li,Xiaoyang(SYS) on 2018/11/13.
|
||||
// Copyright © 2018年 Li,Xiaoyang(SYS). All rights reserved.
|
||||
//
|
||||
|
||||
#import <UIKit/UIKit.h>
|
||||
#import "AppDelegate.h"
|
||||
|
||||
int main(int argc, char * argv[]) {
|
||||
@autoreleasepool {
|
||||
return UIApplicationMain(argc, argv, nil, NSStringFromClass([AppDelegate class]));
|
||||
}
|
||||
}
|
Binary file not shown.
After Width: | Height: | Size: 62 KiB |
File diff suppressed because it is too large
Load Diff
|
@ -0,0 +1,547 @@
|
|||
/*******************************************************************************
|
||||
* *
|
||||
* Author : Angus Johnson *
|
||||
* Version : 6.4.2 *
|
||||
* Date : 27 February 2017 *
|
||||
* Website : http://www.angusj.com *
|
||||
* Copyright : Angus Johnson 2010-2017 *
|
||||
* *
|
||||
* License: *
|
||||
* Use, modification & distribution is subject to Boost Software License Ver 1. *
|
||||
* http://www.boost.org/LICENSE_1_0.txt *
|
||||
* *
|
||||
* Attributions: *
|
||||
* The code in this library is an extension of Bala Vatti's clipping algorithm: *
|
||||
* "A generic solution to polygon clipping" *
|
||||
* Communications of the ACM, Vol 35, Issue 7 (July 1992) pp 56-63. *
|
||||
* http://portal.acm.org/citation.cfm?id=129906 *
|
||||
* *
|
||||
* Computer graphics and geometric modeling: implementation and algorithms *
|
||||
* By Max K. Agoston *
|
||||
* Springer; 1 edition (January 4, 2005) *
|
||||
* http://books.google.com/books?q=vatti+clipping+agoston *
|
||||
* *
|
||||
* See also: *
|
||||
* "Polygon Offsetting by Computing Winding Numbers" *
|
||||
* Paper no. DETC2005-85513 pp. 565-575 *
|
||||
* ASME 2005 International Design Engineering Technical Conferences *
|
||||
* and Computers and Information in Engineering Conference (IDETC/CIE2005) *
|
||||
* September 24-28, 2005 , Long Beach, California, USA *
|
||||
* http://www.me.berkeley.edu/~mcmains/pubs/DAC05OffsetPolygon.pdf *
|
||||
* *
|
||||
*******************************************************************************/
|
||||
|
||||
#ifndef clipper_hpp
|
||||
#define clipper_hpp
|
||||
|
||||
#define CLIPPER_VERSION "6.4.2"
|
||||
|
||||
//use_int32: When enabled 32bit ints are used instead of 64bit ints. This
|
||||
//improve performance but coordinate values are limited to the range +/- 46340
|
||||
//#define use_int32
|
||||
|
||||
//use_xyz: adds a Z member to IntPoint. Adds a minor cost to perfomance.
|
||||
//#define use_xyz
|
||||
|
||||
//use_lines: Enables line clipping. Adds a very minor cost to performance.
|
||||
#define use_lines
|
||||
|
||||
//use_deprecated: Enables temporary support for the obsolete functions
|
||||
//#define use_deprecated
|
||||
|
||||
#include <vector>
|
||||
#include <list>
|
||||
#include <set>
|
||||
#include <stdexcept>
|
||||
#include <cstring>
|
||||
#include <cstdlib>
|
||||
#include <ostream>
|
||||
#include <functional>
|
||||
#include <queue>
|
||||
|
||||
namespace ClipperLib {
|
||||
|
||||
enum ClipType {
|
||||
ctIntersection, ctUnion, ctDifference, ctXor
|
||||
};
|
||||
enum PolyType {
|
||||
ptSubject, ptClip
|
||||
};
|
||||
//By far the most widely used winding rules for polygon filling are
|
||||
//EvenOdd & NonZero (GDI, GDI+, XLib, OpenGL, Cairo, AGG, Quartz, SVG, Gr32)
|
||||
//Others rules include Positive, Negative and ABS_GTR_EQ_TWO (only in OpenGL)
|
||||
//see http://glprogramming.com/red/chapter11.html
|
||||
enum PolyFillType {
|
||||
pftEvenOdd, pftNonZero, pftPositive, pftNegative
|
||||
};
|
||||
|
||||
#ifdef use_int32
|
||||
typedef int cInt;
|
||||
static cInt const loRange = 0x7FFF;
|
||||
static cInt const hiRange = 0x7FFF;
|
||||
#else
|
||||
typedef signed long long cInt;
|
||||
static cInt const loRange = 0x3FFFFFFF;
|
||||
static cInt const hiRange = 0x3FFFFFFFFFFFFFFFLL;
|
||||
typedef signed long long long64; //used by Int128 class
|
||||
typedef unsigned long long ulong64;
|
||||
|
||||
#endif
|
||||
|
||||
struct IntPoint {
|
||||
cInt X;
|
||||
cInt Y;
|
||||
#ifdef use_xyz
|
||||
cInt Z;
|
||||
IntPoint(cInt x = 0, cInt y = 0, cInt z = 0): X(x), Y(y), Z(z) {};
|
||||
#else
|
||||
|
||||
IntPoint(cInt x = 0, cInt y = 0) : X(x), Y(y) {};
|
||||
#endif
|
||||
|
||||
friend inline bool operator==(const IntPoint &a, const IntPoint &b) {
|
||||
return a.X == b.X && a.Y == b.Y;
|
||||
}
|
||||
|
||||
friend inline bool operator!=(const IntPoint &a, const IntPoint &b) {
|
||||
return a.X != b.X || a.Y != b.Y;
|
||||
}
|
||||
};
|
||||
//------------------------------------------------------------------------------
|
||||
|
||||
typedef std::vector <IntPoint> Path;
|
||||
typedef std::vector <Path> Paths;
|
||||
|
||||
inline Path &operator<<(Path &poly, const IntPoint &p) {
|
||||
poly.push_back(p);
|
||||
return poly;
|
||||
}
|
||||
|
||||
inline Paths &operator<<(Paths &polys, const Path &p) {
|
||||
polys.push_back(p);
|
||||
return polys;
|
||||
}
|
||||
|
||||
std::ostream &operator<<(std::ostream &s, const IntPoint &p);
|
||||
|
||||
std::ostream &operator<<(std::ostream &s, const Path &p);
|
||||
|
||||
std::ostream &operator<<(std::ostream &s, const Paths &p);
|
||||
|
||||
struct DoublePoint {
|
||||
double X;
|
||||
double Y;
|
||||
|
||||
DoublePoint(double x = 0, double y = 0) : X(x), Y(y) {}
|
||||
|
||||
DoublePoint(IntPoint ip) : X((double) ip.X), Y((double) ip.Y) {}
|
||||
};
|
||||
//------------------------------------------------------------------------------
|
||||
|
||||
#ifdef use_xyz
|
||||
typedef void (*ZFillCallback)(IntPoint& e1bot, IntPoint& e1top, IntPoint& e2bot, IntPoint& e2top, IntPoint& pt);
|
||||
#endif
|
||||
|
||||
enum InitOptions {
|
||||
ioReverseSolution = 1, ioStrictlySimple = 2, ioPreserveCollinear = 4
|
||||
};
|
||||
enum JoinType {
|
||||
jtSquare, jtRound, jtMiter
|
||||
};
|
||||
enum EndType {
|
||||
etClosedPolygon, etClosedLine, etOpenButt, etOpenSquare, etOpenRound
|
||||
};
|
||||
|
||||
class PolyNode;
|
||||
|
||||
typedef std::vector<PolyNode *> PolyNodes;
|
||||
|
||||
class PolyNode {
|
||||
public:
|
||||
PolyNode();
|
||||
|
||||
virtual ~PolyNode() {};
|
||||
Path Contour;
|
||||
PolyNodes Childs;
|
||||
PolyNode *Parent;
|
||||
|
||||
PolyNode *GetNext() const;
|
||||
|
||||
bool IsHole() const;
|
||||
|
||||
bool IsOpen() const;
|
||||
|
||||
int ChildCount() const;
|
||||
|
||||
private:
|
||||
//PolyNode& operator =(PolyNode& other);
|
||||
unsigned Index; //node index in Parent.Childs
|
||||
bool m_IsOpen;
|
||||
JoinType m_jointype;
|
||||
EndType m_endtype;
|
||||
|
||||
PolyNode *GetNextSiblingUp() const;
|
||||
|
||||
void AddChild(PolyNode &child);
|
||||
|
||||
friend class Clipper; //to access Index
|
||||
friend class ClipperOffset;
|
||||
};
|
||||
|
||||
class PolyTree : public PolyNode {
|
||||
public:
|
||||
~PolyTree() { Clear(); };
|
||||
|
||||
PolyNode *GetFirst() const;
|
||||
|
||||
void Clear();
|
||||
|
||||
int Total() const;
|
||||
|
||||
private:
|
||||
//PolyTree& operator =(PolyTree& other);
|
||||
PolyNodes AllNodes;
|
||||
|
||||
friend class Clipper; //to access AllNodes
|
||||
};
|
||||
|
||||
bool Orientation(const Path &poly);
|
||||
|
||||
double Area(const Path &poly);
|
||||
|
||||
int PointInPolygon(const IntPoint &pt, const Path &path);
|
||||
|
||||
void SimplifyPolygon(const Path &in_poly, Paths &out_polys, PolyFillType fillType = pftEvenOdd);
|
||||
|
||||
void SimplifyPolygons(const Paths &in_polys, Paths &out_polys, PolyFillType fillType = pftEvenOdd);
|
||||
|
||||
void SimplifyPolygons(Paths &polys, PolyFillType fillType = pftEvenOdd);
|
||||
|
||||
void CleanPolygon(const Path &in_poly, Path &out_poly, double distance = 1.415);
|
||||
|
||||
void CleanPolygon(Path &poly, double distance = 1.415);
|
||||
|
||||
void CleanPolygons(const Paths &in_polys, Paths &out_polys, double distance = 1.415);
|
||||
|
||||
void CleanPolygons(Paths &polys, double distance = 1.415);
|
||||
|
||||
void MinkowskiSum(const Path &pattern, const Path &path, Paths &solution, bool pathIsClosed);
|
||||
|
||||
void MinkowskiSum(const Path &pattern, const Paths &paths, Paths &solution, bool pathIsClosed);
|
||||
|
||||
void MinkowskiDiff(const Path &poly1, const Path &poly2, Paths &solution);
|
||||
|
||||
void PolyTreeToPaths(const PolyTree &polytree, Paths &paths);
|
||||
|
||||
void ClosedPathsFromPolyTree(const PolyTree &polytree, Paths &paths);
|
||||
|
||||
void OpenPathsFromPolyTree(PolyTree &polytree, Paths &paths);
|
||||
|
||||
void ReversePath(Path &p);
|
||||
|
||||
void ReversePaths(Paths &p);
|
||||
|
||||
struct IntRect {
|
||||
cInt left;
|
||||
cInt top;
|
||||
cInt right;
|
||||
cInt bottom;
|
||||
};
|
||||
|
||||
//enums that are used internally ...
|
||||
enum EdgeSide {
|
||||
esLeft = 1, esRight = 2
|
||||
};
|
||||
|
||||
//forward declarations (for stuff used internally) ...
|
||||
struct TEdge;
|
||||
struct IntersectNode;
|
||||
struct LocalMinimum;
|
||||
struct OutPt;
|
||||
struct OutRec;
|
||||
struct Join;
|
||||
|
||||
typedef std::vector<OutRec *> PolyOutList;
|
||||
typedef std::vector<TEdge *> EdgeList;
|
||||
typedef std::vector<Join *> JoinList;
|
||||
typedef std::vector<IntersectNode *> IntersectList;
|
||||
|
||||
//------------------------------------------------------------------------------
|
||||
|
||||
//ClipperBase is the ancestor to the Clipper class. It should not be
|
||||
//instantiated directly. This class simply abstracts the conversion of sets of
|
||||
//polygon coordinates into edge objects that are stored in a LocalMinima list.
|
||||
class ClipperBase {
|
||||
public:
|
||||
ClipperBase();
|
||||
|
||||
virtual ~ClipperBase();
|
||||
|
||||
virtual bool AddPath(const Path &pg, PolyType PolyTyp, bool Closed);
|
||||
|
||||
bool AddPaths(const Paths &ppg, PolyType PolyTyp, bool Closed);
|
||||
|
||||
virtual void Clear();
|
||||
|
||||
IntRect GetBounds();
|
||||
|
||||
bool PreserveCollinear() { return m_PreserveCollinear; };
|
||||
|
||||
void PreserveCollinear(bool value) { m_PreserveCollinear = value; };
|
||||
protected:
|
||||
void DisposeLocalMinimaList();
|
||||
|
||||
TEdge *AddBoundsToLML(TEdge *e, bool IsClosed);
|
||||
|
||||
virtual void Reset();
|
||||
|
||||
TEdge *ProcessBound(TEdge *E, bool IsClockwise);
|
||||
|
||||
void InsertScanbeam(const cInt Y);
|
||||
|
||||
bool PopScanbeam(cInt &Y);
|
||||
|
||||
bool LocalMinimaPending();
|
||||
|
||||
bool PopLocalMinima(cInt Y, const LocalMinimum *&locMin);
|
||||
|
||||
OutRec *CreateOutRec();
|
||||
|
||||
void DisposeAllOutRecs();
|
||||
|
||||
void DisposeOutRec(PolyOutList::size_type index);
|
||||
|
||||
void SwapPositionsInAEL(TEdge *edge1, TEdge *edge2);
|
||||
|
||||
void DeleteFromAEL(TEdge *e);
|
||||
|
||||
void UpdateEdgeIntoAEL(TEdge *&e);
|
||||
|
||||
typedef std::vector <LocalMinimum> MinimaList;
|
||||
MinimaList::iterator m_CurrentLM;
|
||||
MinimaList m_MinimaList;
|
||||
|
||||
bool m_UseFullRange;
|
||||
EdgeList m_edges;
|
||||
bool m_PreserveCollinear;
|
||||
bool m_HasOpenPaths;
|
||||
PolyOutList m_PolyOuts;
|
||||
TEdge *m_ActiveEdges;
|
||||
|
||||
typedef std::priority_queue <cInt> ScanbeamList;
|
||||
ScanbeamList m_Scanbeam;
|
||||
};
|
||||
//------------------------------------------------------------------------------
|
||||
|
||||
class Clipper : public virtual ClipperBase {
|
||||
public:
|
||||
Clipper(int initOptions = 0);
|
||||
|
||||
bool Execute(ClipType clipType,
|
||||
Paths &solution,
|
||||
PolyFillType fillType = pftEvenOdd);
|
||||
|
||||
bool Execute(ClipType clipType,
|
||||
Paths &solution,
|
||||
PolyFillType subjFillType,
|
||||
PolyFillType clipFillType);
|
||||
|
||||
bool Execute(ClipType clipType,
|
||||
PolyTree &polytree,
|
||||
PolyFillType fillType = pftEvenOdd);
|
||||
|
||||
bool Execute(ClipType clipType,
|
||||
PolyTree &polytree,
|
||||
PolyFillType subjFillType,
|
||||
PolyFillType clipFillType);
|
||||
|
||||
bool ReverseSolution() { return m_ReverseOutput; };
|
||||
|
||||
void ReverseSolution(bool value) { m_ReverseOutput = value; };
|
||||
|
||||
bool StrictlySimple() { return m_StrictSimple; };
|
||||
|
||||
void StrictlySimple(bool value) { m_StrictSimple = value; };
|
||||
//set the callback function for z value filling on intersections (otherwise Z is 0)
|
||||
#ifdef use_xyz
|
||||
void ZFillFunction(ZFillCallback zFillFunc);
|
||||
#endif
|
||||
protected:
|
||||
virtual bool ExecuteInternal();
|
||||
|
||||
private:
|
||||
JoinList m_Joins;
|
||||
JoinList m_GhostJoins;
|
||||
IntersectList m_IntersectList;
|
||||
ClipType m_ClipType;
|
||||
typedef std::list <cInt> MaximaList;
|
||||
MaximaList m_Maxima;
|
||||
TEdge *m_SortedEdges;
|
||||
bool m_ExecuteLocked;
|
||||
PolyFillType m_ClipFillType;
|
||||
PolyFillType m_SubjFillType;
|
||||
bool m_ReverseOutput;
|
||||
bool m_UsingPolyTree;
|
||||
bool m_StrictSimple;
|
||||
#ifdef use_xyz
|
||||
ZFillCallback m_ZFill; //custom callback
|
||||
#endif
|
||||
|
||||
void SetWindingCount(TEdge &edge);
|
||||
|
||||
bool IsEvenOddFillType(const TEdge &edge) const;
|
||||
|
||||
bool IsEvenOddAltFillType(const TEdge &edge) const;
|
||||
|
||||
void InsertLocalMinimaIntoAEL(const cInt botY);
|
||||
|
||||
void InsertEdgeIntoAEL(TEdge *edge, TEdge *startEdge);
|
||||
|
||||
void AddEdgeToSEL(TEdge *edge);
|
||||
|
||||
bool PopEdgeFromSEL(TEdge *&edge);
|
||||
|
||||
void CopyAELToSEL();
|
||||
|
||||
void DeleteFromSEL(TEdge *e);
|
||||
|
||||
void SwapPositionsInSEL(TEdge *edge1, TEdge *edge2);
|
||||
|
||||
bool IsContributing(const TEdge &edge) const;
|
||||
|
||||
bool IsTopHorz(const cInt XPos);
|
||||
|
||||
void DoMaxima(TEdge *e);
|
||||
|
||||
void ProcessHorizontals();
|
||||
|
||||
void ProcessHorizontal(TEdge *horzEdge);
|
||||
|
||||
void AddLocalMaxPoly(TEdge *e1, TEdge *e2, const IntPoint &pt);
|
||||
|
||||
OutPt *AddLocalMinPoly(TEdge *e1, TEdge *e2, const IntPoint &pt);
|
||||
|
||||
OutRec *GetOutRec(int idx);
|
||||
|
||||
void AppendPolygon(TEdge *e1, TEdge *e2);
|
||||
|
||||
void IntersectEdges(TEdge *e1, TEdge *e2, IntPoint &pt);
|
||||
|
||||
OutPt *AddOutPt(TEdge *e, const IntPoint &pt);
|
||||
|
||||
OutPt *GetLastOutPt(TEdge *e);
|
||||
|
||||
bool ProcessIntersections(const cInt topY);
|
||||
|
||||
void BuildIntersectList(const cInt topY);
|
||||
|
||||
void ProcessIntersectList();
|
||||
|
||||
void ProcessEdgesAtTopOfScanbeam(const cInt topY);
|
||||
|
||||
void BuildResult(Paths &polys);
|
||||
|
||||
void BuildResult2(PolyTree &polytree);
|
||||
|
||||
void SetHoleState(TEdge *e, OutRec *outrec);
|
||||
|
||||
void DisposeIntersectNodes();
|
||||
|
||||
bool FixupIntersectionOrder();
|
||||
|
||||
void FixupOutPolygon(OutRec &outrec);
|
||||
|
||||
void FixupOutPolyline(OutRec &outrec);
|
||||
|
||||
bool IsHole(TEdge *e);
|
||||
|
||||
bool FindOwnerFromSplitRecs(OutRec &outRec, OutRec *&currOrfl);
|
||||
|
||||
void FixHoleLinkage(OutRec &outrec);
|
||||
|
||||
void AddJoin(OutPt *op1, OutPt *op2, const IntPoint offPt);
|
||||
|
||||
void ClearJoins();
|
||||
|
||||
void ClearGhostJoins();
|
||||
|
||||
void AddGhostJoin(OutPt *op, const IntPoint offPt);
|
||||
|
||||
bool JoinPoints(Join *j, OutRec *outRec1, OutRec *outRec2);
|
||||
|
||||
void JoinCommonEdges();
|
||||
|
||||
void DoSimplePolygons();
|
||||
|
||||
void FixupFirstLefts1(OutRec *OldOutRec, OutRec *NewOutRec);
|
||||
|
||||
void FixupFirstLefts2(OutRec *InnerOutRec, OutRec *OuterOutRec);
|
||||
|
||||
void FixupFirstLefts3(OutRec *OldOutRec, OutRec *NewOutRec);
|
||||
|
||||
#ifdef use_xyz
|
||||
void SetZ(IntPoint& pt, TEdge& e1, TEdge& e2);
|
||||
#endif
|
||||
};
|
||||
//------------------------------------------------------------------------------
|
||||
|
||||
class ClipperOffset {
|
||||
public:
|
||||
ClipperOffset(double miterLimit = 2.0, double roundPrecision = 0.25);
|
||||
|
||||
~ClipperOffset();
|
||||
|
||||
void AddPath(const Path &path, JoinType joinType, EndType endType);
|
||||
|
||||
void AddPaths(const Paths &paths, JoinType joinType, EndType endType);
|
||||
|
||||
void Execute(Paths &solution, double delta);
|
||||
|
||||
void Execute(PolyTree &solution, double delta);
|
||||
|
||||
void Clear();
|
||||
|
||||
double MiterLimit;
|
||||
double ArcTolerance;
|
||||
private:
|
||||
Paths m_destPolys;
|
||||
Path m_srcPoly;
|
||||
Path m_destPoly;
|
||||
std::vector <DoublePoint> m_normals;
|
||||
double m_delta, m_sinA, m_sin, m_cos;
|
||||
double m_miterLim, m_StepsPerRad;
|
||||
IntPoint m_lowest;
|
||||
PolyNode m_polyNodes;
|
||||
|
||||
void FixOrientations();
|
||||
|
||||
void DoOffset(double delta);
|
||||
|
||||
void OffsetPoint(int j, int &k, JoinType jointype);
|
||||
|
||||
void DoSquare(int j, int k);
|
||||
|
||||
void DoMiter(int j, int k, double r);
|
||||
|
||||
void DoRound(int j, int k);
|
||||
};
|
||||
//------------------------------------------------------------------------------
|
||||
|
||||
class clipperException : public std::exception {
|
||||
public:
|
||||
clipperException(const char *description) : m_descr(description) {}
|
||||
|
||||
virtual ~clipperException() throw() {}
|
||||
|
||||
virtual const char *what() const throw() { return m_descr.c_str(); }
|
||||
|
||||
private:
|
||||
std::string m_descr;
|
||||
};
|
||||
//------------------------------------------------------------------------------
|
||||
|
||||
} //ClipperLib namespace
|
||||
|
||||
#endif //clipper_hpp
|
||||
|
||||
|
|
@ -0,0 +1,141 @@
|
|||
// Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
|
||||
//
|
||||
// Licensed under the Apache License, Version 2.0 (the "License");
|
||||
// you may not use this file except in compliance with the License.
|
||||
// You may obtain a copy of the License at
|
||||
//
|
||||
// http://www.apache.org/licenses/LICENSE-2.0
|
||||
//
|
||||
// Unless required by applicable law or agreed to in writing, software
|
||||
// distributed under the License is distributed on an "AS IS" BASIS,
|
||||
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
// See the License for the specific language governing permissions and
|
||||
// limitations under the License.
|
||||
|
||||
#include "ocr_crnn_process.h"
|
||||
#include <iostream>
|
||||
#include <vector>
|
||||
#include <iostream>
|
||||
#include <cstring>
|
||||
#include <fstream>
|
||||
#include <cmath>
|
||||
|
||||
const std::string CHARACTER_TYPE = "ch";
|
||||
const int MAX_DICT_LENGTH = 6624;
|
||||
const std::vector<int> REC_IMAGE_SHAPE = {3, 32, 320};
|
||||
|
||||
static cv::Mat crnn_resize_norm_img(cv::Mat img, float wh_ratio) {
|
||||
int imgC, imgH, imgW;
|
||||
imgC = REC_IMAGE_SHAPE[0];
|
||||
imgW = REC_IMAGE_SHAPE[2];
|
||||
imgH = REC_IMAGE_SHAPE[1];
|
||||
|
||||
if (CHARACTER_TYPE == "ch")
|
||||
imgW = int(32 * wh_ratio);
|
||||
|
||||
float ratio = float(img.cols) / float(img.rows);
|
||||
int resize_w, resize_h;
|
||||
if (ceilf(imgH * ratio) > imgW)
|
||||
resize_w = imgW;
|
||||
else
|
||||
resize_w = int(ceilf(imgH * ratio));
|
||||
cv::Mat resize_img;
|
||||
cv::resize(img, resize_img, cv::Size(resize_w, imgH), 0.f, 0.f, cv::INTER_CUBIC);
|
||||
|
||||
resize_img.convertTo(resize_img, CV_32FC3, 1 / 255.f);
|
||||
|
||||
for (int h = 0; h < resize_img.rows; h++) {
|
||||
for (int w = 0; w < resize_img.cols; w++) {
|
||||
resize_img.at<cv::Vec3f>(h, w)[0] = (resize_img.at<cv::Vec3f>(h, w)[0] - 0.5) * 2;
|
||||
resize_img.at<cv::Vec3f>(h, w)[1] = (resize_img.at<cv::Vec3f>(h, w)[1] - 0.5) * 2;
|
||||
resize_img.at<cv::Vec3f>(h, w)[2] = (resize_img.at<cv::Vec3f>(h, w)[2] - 0.5) * 2;
|
||||
}
|
||||
}
|
||||
|
||||
cv::Mat dist;
|
||||
cv::copyMakeBorder(resize_img, dist, 0, 0, 0, int(imgW - resize_w), cv::BORDER_CONSTANT,
|
||||
{0, 0, 0});
|
||||
|
||||
return dist;
|
||||
|
||||
}
|
||||
|
||||
cv::Mat crnn_resize_img(const cv::Mat &img, float wh_ratio) {
|
||||
int imgC = REC_IMAGE_SHAPE[0];
|
||||
int imgW = REC_IMAGE_SHAPE[2];
|
||||
int imgH = REC_IMAGE_SHAPE[1];
|
||||
|
||||
if (CHARACTER_TYPE == "ch") {
|
||||
imgW = int(32 * wh_ratio);
|
||||
}
|
||||
|
||||
float ratio = float(img.cols) / float(img.rows);
|
||||
int resize_w;
|
||||
if (ceilf(imgH * ratio) > imgW)
|
||||
resize_w = imgW;
|
||||
else
|
||||
resize_w = int(ceilf(imgH * ratio));
|
||||
cv::Mat resize_img;
|
||||
cv::resize(img, resize_img, cv::Size(resize_w, imgH));
|
||||
return resize_img;
|
||||
}
|
||||
|
||||
|
||||
cv::Mat get_rotate_crop_image(const cv::Mat &srcimage, const std::vector<std::vector<int>> &box) {
|
||||
|
||||
std::vector<std::vector<int>> points = box;
|
||||
|
||||
int x_collect[4] = {box[0][0], box[1][0], box[2][0], box[3][0]};
|
||||
int y_collect[4] = {box[0][1], box[1][1], box[2][1], box[3][1]};
|
||||
int left = int(*std::min_element(x_collect, x_collect + 4));
|
||||
int right = int(*std::max_element(x_collect, x_collect + 4));
|
||||
int top = int(*std::min_element(y_collect, y_collect + 4));
|
||||
int bottom = int(*std::max_element(y_collect, y_collect + 4));
|
||||
|
||||
cv::Mat img_crop;
|
||||
srcimage(cv::Rect(left, top, right - left, bottom - top)).copyTo(img_crop);
|
||||
|
||||
for (int i = 0; i < points.size(); i++) {
|
||||
points[i][0] -= left;
|
||||
points[i][1] -= top;
|
||||
}
|
||||
|
||||
int img_crop_width = int(sqrt(pow(points[0][0] - points[1][0], 2) +
|
||||
pow(points[0][1] - points[1][1], 2)));
|
||||
int img_crop_height = int(sqrt(pow(points[0][0] - points[3][0], 2) +
|
||||
pow(points[0][1] - points[3][1], 2)));
|
||||
|
||||
cv::Point2f pts_std[4];
|
||||
pts_std[0] = cv::Point2f(0., 0.);
|
||||
pts_std[1] = cv::Point2f(img_crop_width, 0.);
|
||||
pts_std[2] = cv::Point2f(img_crop_width, img_crop_height);
|
||||
pts_std[3] = cv::Point2f(0.f, img_crop_height);
|
||||
|
||||
cv::Point2f pointsf[4];
|
||||
pointsf[0] = cv::Point2f(points[0][0], points[0][1]);
|
||||
pointsf[1] = cv::Point2f(points[1][0], points[1][1]);
|
||||
pointsf[2] = cv::Point2f(points[2][0], points[2][1]);
|
||||
pointsf[3] = cv::Point2f(points[3][0], points[3][1]);
|
||||
|
||||
cv::Mat M = cv::getPerspectiveTransform(pointsf, pts_std);
|
||||
|
||||
cv::Mat dst_img;
|
||||
cv::warpPerspective(img_crop, dst_img, M, cv::Size(img_crop_width, img_crop_height),
|
||||
cv::BORDER_REPLICATE);
|
||||
|
||||
if (float(dst_img.rows) >= float(dst_img.cols) * 1.5) {
|
||||
/*
|
||||
cv::Mat srcCopy = cv::Mat(dst_img.rows, dst_img.cols, dst_img.depth());
|
||||
cv::transpose(dst_img, srcCopy);
|
||||
cv::flip(srcCopy, srcCopy, 0);
|
||||
return srcCopy;
|
||||
*/
|
||||
cv::transpose(dst_img, dst_img);
|
||||
cv::flip(dst_img, dst_img, 0);
|
||||
return dst_img;
|
||||
} else {
|
||||
return dst_img;
|
||||
}
|
||||
|
||||
}
|
||||
|
|
@ -0,0 +1,19 @@
|
|||
//
|
||||
// Created by fujiayi on 2020/7/3.
|
||||
//
|
||||
#pragma once
|
||||
|
||||
#include <vector>
|
||||
#include <opencv2/opencv.hpp>
|
||||
|
||||
|
||||
extern const std::vector<int> REC_IMAGE_SHAPE;
|
||||
|
||||
cv::Mat get_rotate_crop_image(const cv::Mat &srcimage, const std::vector<std::vector<int>>& box);
|
||||
|
||||
cv::Mat crnn_resize_img(const cv::Mat& img, float wh_ratio);
|
||||
|
||||
template<class ForwardIterator>
|
||||
inline size_t argmax(ForwardIterator first, ForwardIterator last) {
|
||||
return std::distance(first, std::max_element(first, last));
|
||||
}
|
|
@ -0,0 +1,372 @@
|
|||
// Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
|
||||
//
|
||||
// Licensed under the Apache License, Version 2.0 (the "License");
|
||||
// you may not use this file except in compliance with the License.
|
||||
// You may obtain a copy of the License at
|
||||
//
|
||||
// http://www.apache.org/licenses/LICENSE-2.0
|
||||
//
|
||||
// Unless required by applicable law or agreed to in writing, software
|
||||
// distributed under the License is distributed on an "AS IS" BASIS,
|
||||
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
// See the License for the specific language governing permissions and
|
||||
// limitations under the License.
|
||||
|
||||
#include <iostream>
|
||||
#include <vector>
|
||||
#include <math.h>
|
||||
#include "opencv2/core.hpp"
|
||||
#include "opencv2/imgcodecs.hpp"
|
||||
#include "opencv2/imgproc.hpp"
|
||||
#include "ocr_clipper.hpp"
|
||||
|
||||
|
||||
static void getcontourarea(float **box, float unclip_ratio, float &distance) {
|
||||
int pts_num = 4;
|
||||
float area = 0.0f;
|
||||
float dist = 0.0f;
|
||||
for (int i = 0; i < pts_num; i++) {
|
||||
area += box[i][0] * box[(i + 1) % pts_num][1] - box[i][1] * box[(i + 1) % pts_num][0];
|
||||
dist += sqrtf(
|
||||
(box[i][0] - box[(i + 1) % pts_num][0]) * (box[i][0] - box[(i + 1) % pts_num][0]) +
|
||||
(box[i][1] - box[(i + 1) % pts_num][1]) * (box[i][1] - box[(i + 1) % pts_num][1]));
|
||||
}
|
||||
area = fabs(float(area / 2.0));
|
||||
|
||||
distance = area * unclip_ratio / dist;
|
||||
|
||||
}
|
||||
|
||||
static cv::RotatedRect unclip(float **box) {
|
||||
float unclip_ratio = 2.0;
|
||||
float distance = 1.0;
|
||||
|
||||
getcontourarea(box, unclip_ratio, distance);
|
||||
|
||||
ClipperLib::ClipperOffset offset;
|
||||
ClipperLib::Path p;
|
||||
p << ClipperLib::IntPoint(int(box[0][0]), int(box[0][1]))
|
||||
<< ClipperLib::IntPoint(int(box[1][0]), int(box[1][1])) <<
|
||||
ClipperLib::IntPoint(int(box[2][0]), int(box[2][1]))
|
||||
<< ClipperLib::IntPoint(int(box[3][0]), int(box[3][1]));
|
||||
offset.AddPath(p, ClipperLib::jtRound, ClipperLib::etClosedPolygon);
|
||||
|
||||
ClipperLib::Paths soln;
|
||||
offset.Execute(soln, distance);
|
||||
std::vector<cv::Point2f> points;
|
||||
|
||||
for (int j = 0; j < soln.size(); j++) {
|
||||
for (int i = 0; i < soln[soln.size() - 1].size(); i++) {
|
||||
points.emplace_back(soln[j][i].X, soln[j][i].Y);
|
||||
}
|
||||
}
|
||||
cv::RotatedRect res = cv::minAreaRect(points);
|
||||
|
||||
return res;
|
||||
}
|
||||
|
||||
static float **Mat2Vec(cv::Mat mat) {
|
||||
auto **array = new float *[mat.rows];
|
||||
for (int i = 0; i < mat.rows; ++i)
|
||||
array[i] = new float[mat.cols];
|
||||
for (int i = 0; i < mat.rows; ++i) {
|
||||
for (int j = 0; j < mat.cols; ++j) {
|
||||
array[i][j] = mat.at<float>(i, j);
|
||||
}
|
||||
}
|
||||
|
||||
return array;
|
||||
}
|
||||
|
||||
static void quickSort(float **s, int l, int r) {
|
||||
if (l < r) {
|
||||
int i = l, j = r;
|
||||
float x = s[l][0];
|
||||
float *xp = s[l];
|
||||
while (i < j) {
|
||||
while (i < j && s[j][0] >= x)
|
||||
j--;
|
||||
if (i < j)
|
||||
std::swap(s[i++], s[j]);
|
||||
while (i < j && s[i][0] < x)
|
||||
i++;
|
||||
if (i < j)
|
||||
std::swap(s[j--], s[i]);
|
||||
}
|
||||
s[i] = xp;
|
||||
quickSort(s, l, i - 1);
|
||||
quickSort(s, i + 1, r);
|
||||
}
|
||||
}
|
||||
|
||||
static void quickSort_vector(std::vector<std::vector<int>> &box, int l, int r, int axis) {
|
||||
if (l < r) {
|
||||
int i = l, j = r;
|
||||
int x = box[l][axis];
|
||||
std::vector<int> xp(box[l]);
|
||||
while (i < j) {
|
||||
while (i < j && box[j][axis] >= x)
|
||||
j--;
|
||||
if (i < j)
|
||||
std::swap(box[i++], box[j]);
|
||||
while (i < j && box[i][axis] < x)
|
||||
i++;
|
||||
if (i < j)
|
||||
std::swap(box[j--], box[i]);
|
||||
}
|
||||
box[i] = xp;
|
||||
quickSort_vector(box, l, i - 1, axis);
|
||||
quickSort_vector(box, i + 1, r, axis);
|
||||
}
|
||||
}
|
||||
|
||||
static std::vector<std::vector<int>> order_points_clockwise(std::vector<std::vector<int>> pts) {
|
||||
std::vector<std::vector<int>> box = pts;
|
||||
quickSort_vector(box, 0, int(box.size() - 1), 0);
|
||||
std::vector<std::vector<int>> leftmost = {box[0], box[1]};
|
||||
std::vector<std::vector<int>> rightmost = {box[2], box[3]};
|
||||
|
||||
if (leftmost[0][1] > leftmost[1][1])
|
||||
std::swap(leftmost[0], leftmost[1]);
|
||||
|
||||
if (rightmost[0][1] > rightmost[1][1])
|
||||
std::swap(rightmost[0], rightmost[1]);
|
||||
|
||||
std::vector<std::vector<int>> rect = {leftmost[0], rightmost[0], rightmost[1], leftmost[1]};
|
||||
return rect;
|
||||
}
|
||||
|
||||
static float **get_mini_boxes(cv::RotatedRect box, float &ssid) {
|
||||
ssid = box.size.width >= box.size.height ? box.size.height : box.size.width;
|
||||
|
||||
cv::Mat points;
|
||||
cv::boxPoints(box, points);
|
||||
// sorted box points
|
||||
auto array = Mat2Vec(points);
|
||||
quickSort(array, 0, 3);
|
||||
|
||||
float *idx1 = array[0], *idx2 = array[1], *idx3 = array[2], *idx4 = array[3];
|
||||
if (array[3][1] <= array[2][1]) {
|
||||
idx2 = array[3];
|
||||
idx3 = array[2];
|
||||
} else {
|
||||
idx2 = array[2];
|
||||
idx3 = array[3];
|
||||
}
|
||||
if (array[1][1] <= array[0][1]) {
|
||||
idx1 = array[1];
|
||||
idx4 = array[0];
|
||||
} else {
|
||||
idx1 = array[0];
|
||||
idx4 = array[1];
|
||||
}
|
||||
|
||||
array[0] = idx1;
|
||||
array[1] = idx2;
|
||||
array[2] = idx3;
|
||||
array[3] = idx4;
|
||||
|
||||
return array;
|
||||
}
|
||||
|
||||
template <class T> T clamp(T x, T min, T max) {
|
||||
if (x > max){
|
||||
return max;
|
||||
}
|
||||
if (x < min){
|
||||
return min;
|
||||
}
|
||||
return x;
|
||||
}
|
||||
|
||||
static float clampf(float x, float min, float max) {
|
||||
if (x > max)
|
||||
return max;
|
||||
if (x < min)
|
||||
return min;
|
||||
return x;
|
||||
}
|
||||
|
||||
|
||||
float box_score_fast(float **box_array, cv::Mat pred) {
|
||||
auto array = box_array;
|
||||
int width = pred.cols;
|
||||
int height = pred.rows;
|
||||
|
||||
float box_x[4] = {array[0][0], array[1][0], array[2][0], array[3][0]};
|
||||
float box_y[4] = {array[0][1], array[1][1], array[2][1], array[3][1]};
|
||||
|
||||
int xmin = clamp(int(std::floorf(*(std::min_element(box_x, box_x + 4)))), 0, width - 1);
|
||||
int xmax = clamp(int(std::ceilf(*(std::max_element(box_x, box_x + 4)))), 0, width - 1);
|
||||
int ymin = clamp(int(std::floorf(*(std::min_element(box_y, box_y + 4)))), 0, height - 1);
|
||||
int ymax = clamp(int(std::ceilf(*(std::max_element(box_y, box_y + 4)))), 0, height - 1);
|
||||
|
||||
cv::Mat mask;
|
||||
mask = cv::Mat::zeros(ymax - ymin + 1, xmax - xmin + 1, CV_8UC1);
|
||||
|
||||
cv::Point root_point[4];
|
||||
root_point[0] = cv::Point(int(array[0][0]) - xmin, int(array[0][1]) - ymin);
|
||||
root_point[1] = cv::Point(int(array[1][0]) - xmin, int(array[1][1]) - ymin);
|
||||
root_point[2] = cv::Point(int(array[2][0]) - xmin, int(array[2][1]) - ymin);
|
||||
root_point[3] = cv::Point(int(array[3][0]) - xmin, int(array[3][1]) - ymin);
|
||||
const cv::Point *ppt[1] = {root_point};
|
||||
int npt[] = {4};
|
||||
cv::fillPoly(mask, ppt, npt, 1, cv::Scalar(1));
|
||||
|
||||
cv::Mat croppedImg;
|
||||
pred(cv::Rect(xmin, ymin, xmax - xmin + 1, ymax - ymin + 1)).copyTo(croppedImg);
|
||||
|
||||
auto score = cv::mean(croppedImg, mask)[0];
|
||||
return score;
|
||||
}
|
||||
|
||||
|
||||
std::vector<std::vector<std::vector<int>>>
|
||||
boxes_from_bitmap(const cv::Mat& pred, const cv::Mat& bitmap) {
|
||||
const int min_size = 3;
|
||||
const int max_candidates = 1000;
|
||||
const float box_thresh = 0.5;
|
||||
|
||||
int width = bitmap.cols;
|
||||
int height = bitmap.rows;
|
||||
|
||||
std::vector<std::vector<cv::Point>> contours;
|
||||
std::vector<cv::Vec4i> hierarchy;
|
||||
|
||||
cv::findContours(bitmap, contours, hierarchy, cv::RETR_LIST, cv::CHAIN_APPROX_SIMPLE);
|
||||
|
||||
int num_contours = contours.size() >= max_candidates ? max_candidates : contours.size();
|
||||
|
||||
std::vector<std::vector<std::vector<int>>> boxes;
|
||||
|
||||
for (int _i = 0; _i < num_contours; _i++) {
|
||||
float ssid;
|
||||
cv::RotatedRect box = cv::minAreaRect(contours[_i]);
|
||||
auto array = get_mini_boxes(box, ssid);
|
||||
|
||||
auto box_for_unclip = array;
|
||||
//end get_mini_box
|
||||
|
||||
if (ssid < min_size) {
|
||||
continue;
|
||||
}
|
||||
|
||||
float score;
|
||||
score = box_score_fast(array, pred);
|
||||
//end box_score_fast
|
||||
if (score < box_thresh)
|
||||
continue;
|
||||
|
||||
|
||||
// start for unclip
|
||||
cv::RotatedRect points = unclip(box_for_unclip);
|
||||
// end for unclip
|
||||
|
||||
cv::RotatedRect clipbox = points;
|
||||
auto cliparray = get_mini_boxes(clipbox, ssid);
|
||||
|
||||
if (ssid < min_size + 2) continue;
|
||||
|
||||
int dest_width = pred.cols;
|
||||
int dest_height = pred.rows;
|
||||
std::vector<std::vector<int>> intcliparray;
|
||||
|
||||
for (int num_pt = 0; num_pt < 4; num_pt++) {
|
||||
std::vector<int> a{
|
||||
int(clampf(roundf(cliparray[num_pt][0] / float(width) * float(dest_width)), 0,
|
||||
float(dest_width))),
|
||||
int(clampf(roundf(cliparray[num_pt][1] / float(height) * float(dest_height)), 0,
|
||||
float(dest_height)))};
|
||||
intcliparray.push_back(a);
|
||||
}
|
||||
boxes.push_back(intcliparray);
|
||||
|
||||
}//end for
|
||||
return boxes;
|
||||
}
|
||||
|
||||
int _max(int a, int b) {
|
||||
return a >= b ? a : b;
|
||||
}
|
||||
|
||||
int _min(int a, int b) {
|
||||
return a >= b ? b : a;
|
||||
}
|
||||
|
||||
std::vector<std::vector<std::vector<int>>>
|
||||
filter_tag_det_res(const std::vector<std::vector<std::vector<int>>>& o_boxes,
|
||||
float ratio_h, float ratio_w,const cv::Mat& srcimg) {
|
||||
int oriimg_h = srcimg.rows;
|
||||
int oriimg_w = srcimg.cols;
|
||||
std::vector<std::vector<std::vector<int>>> boxes{o_boxes};
|
||||
std::vector<std::vector<std::vector<int>>> root_points;
|
||||
for (int n = 0; n < boxes.size(); n++) {
|
||||
boxes[n] = order_points_clockwise(boxes[n]);
|
||||
for (int m = 0; m < boxes[0].size(); m++) {
|
||||
boxes[n][m][0] /= ratio_w;
|
||||
boxes[n][m][1] /= ratio_h;
|
||||
|
||||
boxes[n][m][0] = int(_min(_max(boxes[n][m][0], 0), oriimg_w - 1));
|
||||
boxes[n][m][1] = int(_min(_max(boxes[n][m][1], 0), oriimg_h - 1));
|
||||
}
|
||||
}
|
||||
|
||||
for (int n = 0; n < boxes.size(); n++) {
|
||||
int rect_width, rect_height;
|
||||
rect_width = int(sqrt(
|
||||
pow(boxes[n][0][0] - boxes[n][1][0], 2) + pow(boxes[n][0][1] - boxes[n][1][1], 2)));
|
||||
rect_height = int(sqrt(
|
||||
pow(boxes[n][0][0] - boxes[n][3][0], 2) + pow(boxes[n][0][1] - boxes[n][3][1], 2)));
|
||||
if (rect_width <= 10 || rect_height <= 10)
|
||||
continue;
|
||||
root_points.push_back(boxes[n]);
|
||||
}
|
||||
return root_points;
|
||||
}
|
||||
|
||||
/*
|
||||
using namespace std;
|
||||
// read data from txt file
|
||||
cv::Mat readtxt2(std::string path, int imgw, int imgh, int imgc) {
|
||||
std::cout << "read data file from txt file! " << std::endl;
|
||||
ifstream in(path);
|
||||
string line;
|
||||
int count = 0;
|
||||
int i = 0, j = 0;
|
||||
std::vector<float> img_mean = {0.485, 0.456, 0.406};
|
||||
std::vector<float> img_std = {0.229, 0.224, 0.225};
|
||||
|
||||
float trainData[imgh][imgw*imgc];
|
||||
|
||||
while (getline(in, line)) {
|
||||
stringstream ss(line);
|
||||
double x;
|
||||
while (ss >> x) {
|
||||
// trainData[i][j] = float(x) * img_std[j % 3] + img_mean[j % 3];
|
||||
trainData[i][j] = float(x);
|
||||
j++;
|
||||
}
|
||||
i++;
|
||||
j = 0;
|
||||
}
|
||||
|
||||
cv::Mat pred_map(imgh, imgw*imgc, CV_32FC1, (float *) trainData);
|
||||
cv::Mat reshape_img = pred_map.reshape(imgc, imgh);
|
||||
return reshape_img;
|
||||
}
|
||||
*/
|
||||
//using namespace std;
|
||||
//
|
||||
//void writetxt(vector<vector<float>> data, std::string save_path){
|
||||
//
|
||||
// ofstream fout(save_path);
|
||||
//
|
||||
// for (int i = 0; i < data.size(); i++) {
|
||||
// for (int j=0; j< data[0].size(); j++){
|
||||
// fout << data[i][j] << " ";
|
||||
// }
|
||||
// fout << endl;
|
||||
// }
|
||||
// fout << endl;
|
||||
// fout.close();
|
||||
//}
|
|
@ -0,0 +1,10 @@
|
|||
//
|
||||
// Created by fujiayi on 2020/7/2.
|
||||
//
|
||||
#pragma once
|
||||
|
||||
std::vector<std::vector<std::vector<int>>> boxes_from_bitmap(const cv::Mat& pred, const cv::Mat& bitmap);
|
||||
|
||||
std::vector<std::vector<std::vector<int>>>
|
||||
filter_tag_det_res(const std::vector<std::vector<std::vector<int>>>& o_boxes,
|
||||
float ratio_h, float ratio_w, const cv::Mat& srcimg);
|
|
@ -0,0 +1,87 @@
|
|||
//
|
||||
// timer.h
|
||||
// face_demo
|
||||
//
|
||||
// Created by Li,Xiaoyang(SYS) on 2019/8/20.
|
||||
// Copyright © 2019年 Li,Xiaoyang(SYS). All rights reserved.
|
||||
//
|
||||
|
||||
#ifndef timer_h
|
||||
#define timer_h
|
||||
#include <chrono>
|
||||
#include <list>
|
||||
class Timer final {
|
||||
|
||||
public:
|
||||
Timer() {}
|
||||
|
||||
~Timer() {}
|
||||
|
||||
void clear() {
|
||||
ms_time.clear();
|
||||
}
|
||||
|
||||
void start() {
|
||||
tstart = std::chrono::system_clock::now();
|
||||
}
|
||||
|
||||
void end() {
|
||||
tend = std::chrono::system_clock::now();
|
||||
auto ts = std::chrono::duration_cast<std::chrono::microseconds>(tend - tstart);
|
||||
float elapse_ms = 1000.f * float(ts.count()) * std::chrono::microseconds::period::num / \
|
||||
std::chrono::microseconds::period::den;
|
||||
ms_time.push_back(elapse_ms);
|
||||
}
|
||||
|
||||
float get_average_ms() {
|
||||
if (ms_time.size() == 0) {
|
||||
return 0.f;
|
||||
}
|
||||
float sum = 0.f;
|
||||
for (auto i : ms_time){
|
||||
sum += i;
|
||||
}
|
||||
return sum / ms_time.size();
|
||||
}
|
||||
|
||||
float get_sum_ms(){
|
||||
if (ms_time.size() == 0) {
|
||||
return 0.f;
|
||||
}
|
||||
float sum = 0.f;
|
||||
for (auto i : ms_time){
|
||||
sum += i;
|
||||
}
|
||||
return sum;
|
||||
}
|
||||
|
||||
// return tile (0-99) time.
|
||||
float get_tile_time(float tile) {
|
||||
|
||||
if (tile <0 || tile > 100) {
|
||||
return -1.f;
|
||||
}
|
||||
int total_items = (int)ms_time.size();
|
||||
if (total_items <= 0) {
|
||||
return -2.f;
|
||||
}
|
||||
ms_time.sort();
|
||||
int pos = (int)(tile * total_items / 100);
|
||||
auto it = ms_time.begin();
|
||||
for (int i = 0; i < pos; ++i) {
|
||||
++it;
|
||||
}
|
||||
return *it;
|
||||
}
|
||||
|
||||
const std::list<float> get_time_stat() {
|
||||
return ms_time;
|
||||
}
|
||||
|
||||
private:
|
||||
std::chrono::time_point<std::chrono::system_clock> tstart;
|
||||
std::chrono::time_point<std::chrono::system_clock> tend;
|
||||
std::list<float> ms_time;
|
||||
};
|
||||
|
||||
#endif /* timer_h */
|
Loading…
Reference in New Issue