benjaminwan / ocrlitencnn Goto Github PK

for (int i = 0; i < textBoxes.size(); ++i) {
Logger("TextBox%d[score(%f),[x: %d, y: %d], [x: %d, y: %d], [x: %d, y: %d], [x: %d, y: %d]]\n", i,
textBoxes[i].score,
textBoxes[i].boxPoint[0].x, textBoxes[i].boxPoint[0].y,
textBoxes[i].boxPoint[1].x, textBoxes[i].boxPoint[1].y,
textBoxes[i].boxPoint[2].x, textBoxes[i].boxPoint[2].y,
textBoxes[i].boxPoint[3].x, textBoxes[i].boxPoint[3].y);
}

wode@xxx-NBLK-WAX9X:~/src/OcrLiteNcnn$ bash run-test.sh
Setting the Number of Threads=8 Using an OpenMP Environment Variable
Gpu版本测试前请先安装Vulkan SDK v1.2.162.0，https://vulkan.lunarg.com/sdk/home
请输入测试选项并回车: 1)CPU, 2)GPU
2
1.8.1
[0 AMD RADV RAVEN] queueC=1[4] queueG=0[1] queueT=0[1]
[0 AMD RADV RAVEN] bugsbn1=0 bugbilz=0 bugcopc=0 bugihfa=0
[0 AMD RADV RAVEN] fp16-p/s/a=1/1/1 int8-p/s/a=1/1/1
[0 AMD RADV RAVEN] subgroup=64 basic=1 vote=1 ballot=1 shuffle=1
[1 llvmpipe (LLVM 13.0.1, 256 bits)] queueC=0[1] queueG=0[1] queueT=0[1]
[1 llvmpipe (LLVM 13.0.1, 256 bits)] bugsbn1=0 bugbilz=0 bugcopc=0 bugihfa=0
[1 llvmpipe (LLVM 13.0.1, 256 bits)] fp16-p/s/a=1/1/1 int8-p/s/a=1/1/1
[1 llvmpipe (LLVM 13.0.1, 256 bits)] subgroup=8 basic=1 vote=1 ballot=1 shuffle=0
This device has 2 GPUs
modelsPath=models
model dbnet path=models/dbnet_op
model angle path=models/angle_op
model crnn path=models/crnn_lite_op
keys path=models/keys.txt
imgDir=images/, imgName=1.jpg
resultTxtPath(images/1.jpg-result.txt)
[0 AMD RADV RAVEN] queueC=1[4] queueG=0[1] queueT=0[1]
[0 AMD RADV RAVEN] bugsbn1=0 bugbilz=0 bugcopc=0 bugihfa=0
[0 AMD RADV RAVEN] fp16-p/s/a=1/1/1 int8-p/s/a=1/1/1
[0 AMD RADV RAVEN] subgroup=64 basic=1 vote=1 ballot=1 shuffle=1
[1 llvmpipe (LLVM 13.0.1, 256 bits)] queueC=0[1] queueG=0[1] queueT=0[1]
[1 llvmpipe (LLVM 13.0.1, 256 bits)] bugsbn1=0 bugbilz=0 bugcopc=0 bugihfa=0
[1 llvmpipe (LLVM 13.0.1, 256 bits)] fp16-p/s/a=1/1/1 int8-p/s/a=1/1/1
[1 llvmpipe (LLVM 13.0.1, 256 bits)] subgroup=8 basic=1 vote=1 ballot=1 shuffle=0
dbNet try to use Gpu0
AngleNet use Cpu
CrnnNet use Cpu
=====Input Params=====
numThread(8),padding(50),maxSideLen(0),boxScoreThresh(0.600000),boxThresh(0.300000),unClipRatio(2.000000),doAngle(1),mostAngle(1),GPU(0)
=====Init Models=====
--- Init DbNet ---
--- Init AngleNet ---
param is too old, please regenerate!
layer load_param 106 611 failed
run-test.sh：行 57: 25190 段错误 （核心已转储） ./${EXE_PATH}/OcrLiteNcnn --models models --det dbnet_op --cls angle_op --rec crnn_lite_op --keys keys.txt --image $TARGET_IMG --numThread $NUM_THREADS --padding 50 --maxSideLen 0 --boxScoreThresh 0.6 --boxThresh 0.3 --unClipRatio 2.0 --doAngle 1 --mostAngle 1 --GPU $GPU_INDEX

我想要识别更多的中文和英文字符应该怎么弄，这边是否有训练和模型转换的参考。

我安装了VS2019和Cmake但是generate-vs-project.bat运行 选项选择完 只生成文件夹 ，文件夹里没东西。build.bat也是只生成文件夹但没有东西！
这是我电脑路径 E:\VSwork_Project\Project_OcrLiteNcnn-1.8.0
没有中文和特殊符号！

C:\Users\admin\Desktop\Project_OcrLiteNcnn-1.7.0\ncnnocr\Release>ncnnocr.exe --models models --det det --cls cls --rec rec --keys keys.txt --image 1.jpg --GPU 0

modelsPath=models
model dbnet path=models/det
model angle path=models/cls
model crnn path=models/rec
keys path=models/keys.txt
imgDir=, imgName=1.jpg
Model dbnet file not found: models/det.param

C:\Users\admin\Desktop\Project_OcrLiteNcnn-1.7.0\ncnnocr\Release>ncnnocr.exe --models models --keys keys.txt --image 1.jpg --GPU 0
modelsPath=models
keys path=models/keys.txt
imgDir=, imgName=1.jpg
resultTxtPath(1.jpg-result.txt)
=====Input Params=====
numThread(4),padding(50),maxSideLen(1024),boxScoreThresh(0.600000),boxThresh(0.300000),unClipRatio(2.000000),doAngle(1),mostAngle(1),GPU(0)
=====Init Models=====
--- Init DbNet ---
--- Init AngleNet ---
--- Init CrnnNet ---
=====Start detect=====
ScaleParam(sw:740,sh:740,dw:736,dh:736,0.994595,0.994595)
---------- step: dbNet getTextBoxes ----------
dbNetTime(496.365100ms)
TextBox0[score(0.735103),[x: 314, y: 58], [x: 668, y: 433], [x: 622, y: 476], [x: 268, y: 102]]
TextBox1[score(0.770903),[x: 435, y: 53], [x: 691, y: 305], [x: 635, y: 362], [x: 379, y: 110]]
TextBox2[score(0.791785),[x: 263, y: 122], [x: 564, y: 460], [x: 500, y: 515], [x: 201, y: 178]]
TextBox3[score(0.794584),[x: 182, y: 176], [x: 483, y: 530], [x: 415, y: 589], [x: 114, y: 234]]
TextBox4[score(0.699193),[x: 109, y: 230], [x: 320, y: 501], [x: 255, y: 552], [x: 44, y: 281]]
---------- step: drawTextBoxes ----------
---------- step: angleNet getAngles ----------
angle[0][index(1), score(0.999997), time(7.265200ms)]
angle[1][index(1), score(0.999786), time(2.394500ms)]
angle[2][index(1), score(0.999846), time(2.373200ms)]
angle[3][index(1), score(0.791865), time(2.258000ms)]
angle[4][index(1), score(1.000000), time(2.451200ms)]
---------- step: crnnNet getTextLine ----------
textLine0
textScores[0]{0.996313 ,0.999845 ,0.999914 ,0.999713 ,0.999677 ,0.998594 ,0.999956 ,0.999995 ,0.995888 ,0.998597}
crnnTime0
textLine1
textScores[1]{0.999805 ,0.576728 ,0.993639 ,0.999157 ,0.999847}
crnnTime1
textLine2
textScores[2]{0.999981 ,0.999988 ,0.999614 ,0.999997 ,0.999606 ,0.999977 ,0.999962}
crnnTime2
textLine3
textScores[3]{0.985631 ,0.999934 ,0.993689 ,0.982854 ,0.958149 ,0.996716 ,0.999792}
crnnTime3
textLine4
textScores[4]{0.987057 ,0.984709 ,0.969712 ,0.880784 ,0.790944 ,0.988959}
crnnTime4
=====End detect=====
FullDetectTime(628.647800ms)
棣欐腐娣卞湷鎶借锛屽彲閭瘎
涓撲笟鏌ユ€у埆
涓撲笟閴村畾B瓒呭崟
b瓒呬华鍣ㄦ煡鎬у埆
鍔犲井淇ee

1>OcrTest.obj : error LNK2001: 无法解析的外部符号 optarg
1>OcrTest.obj : error LNK2001: 无法解析的外部符号 "void __cdecl printGpuInfo(void)" (?printGpuInfo@@yaxxz)
1>OcrTest.obj : error LNK2001: 无法解析的外部符号 "public: struct OcrResult __cdecl OcrLite::detect(char const *,char const *,int,int,float,float,float,bool,bool)" (?detect@OcrLite@@qeaa?AUOcrResult@@PEBD0HHMMM_N1@Z)
1>OcrTest.obj : error LNK2001: 无法解析的外部符号 "public: void __cdecl OcrLite::Logger(char const *,...)" (?Logger@OcrLite@@QEAAXPEBDZZ)
1>OcrTest.obj : error LNK2001: 无法解析的外部符号 "public: bool __cdecl OcrLite::initModels(class std::basic_string<char,struct std::char_traits,class std::allocator > const &,class std::basic_string<char,struct std::char_traits,class std::allocator > const &,class std::basic_string<char,struct std::char_traits,class std::allocator > const &,class std::basic_string<char,struct std::char_traits,class std::allocator > const &)" (?initModels@OcrLite@@QEAA_NAEBV?$basic_string@DU?$char_traits@D@std@@v?$allocator@D@2@@std@@000@Z)
1>OcrTest.obj : error LNK2001: 无法解析的外部符号 "public: void __cdecl OcrLite::setGpuIndex(int)" (?setGpuIndex@OcrLite@@QEAAXH@Z)
1>OcrTest.obj : error LNK2001: 无法解析的外部符号 "public: void __cdecl OcrLite::enableResultTxt(char const *,char const *)" (?enableResultTxt@OcrLite@@QEAAXPEBD0@Z)
1>OcrTest.obj : error LNK2001: 无法解析的外部符号 "public: void __cdecl OcrLite::initLogger(bool,bool,bool)" (?initLogger@OcrLite@@QEAAX_N00@Z)
1>OcrTest.obj : error LNK2001: 无法解析的外部符号 "public: void __cdecl OcrLite::setNumThread(int)" (?setNumThread@OcrLite@@QEAAXH@Z)
1>OcrTest.obj : error LNK2001: 无法解析的外部符号 "public: __cdecl OcrLite::~OcrLite(void)" (??1OcrLite@@qeaa@XZ)
1>OcrTest.obj : error LNK2001: 无法解析的外部符号 "public: __cdecl OcrLite::OcrLite(void)" (??0OcrLite@@qeaa@XZ)
1>OcrTest.obj : error LNK2001: 无法解析的外部符号 getopt_long

这个应该是库的版本不符合的问题，都是release64的，用的是复制main.cpp文件，请问下这个问题怎么解决