ClassFlowCNNGeneral.cpp 30 KB

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  1. #include "ClassFlowCNNGeneral.h"
  2. #include <math.h>
  3. #include <iomanip>
  4. #include <sys/types.h>
  5. #include <sstream> // std::stringstream
  6. #include "CTfLiteClass.h"
  7. #include "ClassLogFile.h"
  8. static const char* TAG = "flow_analog";
  9. bool debugdetailgeneral = false;
  10. ClassFlowCNNGeneral::ClassFlowCNNGeneral(ClassFlowAlignment *_flowalign, t_CNNType _cnntype) : ClassFlowImage(NULL, TAG)
  11. {
  12. string cnnmodelfile = "";
  13. modelxsize = 1;
  14. modelysize = 1;
  15. CNNGoodThreshold = 0.9;
  16. ListFlowControll = NULL;
  17. previousElement = NULL;
  18. SaveAllFiles = false;
  19. disabled = false;
  20. isLogImageSelect = false;
  21. CNNType = AutoDetect;
  22. CNNType = _cnntype;
  23. flowpostalignment = _flowalign;
  24. }
  25. string ClassFlowCNNGeneral::getReadout(int _analog = 0, bool _extendedResolution, int prev)
  26. {
  27. string result = "";
  28. if (GENERAL[_analog]->ROI.size() == 0)
  29. return result;
  30. if (CNNType == Analogue)
  31. {
  32. float zahl = GENERAL[_analog]->ROI[GENERAL[_analog]->ROI.size() - 1]->result_float;
  33. int ergebnis_nachkomma = ((int) floor(zahl * 10) + 10) % 10;
  34. prev = ZeigerEval(GENERAL[_analog]->ROI[GENERAL[_analog]->ROI.size() - 1]->result_float, prev);
  35. result = std::to_string(prev);
  36. if (_extendedResolution && (CNNType != Digital))
  37. result = result + std::to_string(ergebnis_nachkomma);
  38. for (int i = GENERAL[_analog]->ROI.size() - 2; i >= 0; --i)
  39. {
  40. prev = ZeigerEval(GENERAL[_analog]->ROI[i]->result_float, prev);
  41. result = std::to_string(prev) + result;
  42. }
  43. return result;
  44. }
  45. if (CNNType == Digital)
  46. {
  47. for (int i = 0; i < GENERAL[_analog]->ROI.size(); ++i)
  48. {
  49. if (GENERAL[_analog]->ROI[i]->result_klasse >= 10)
  50. result = result + "N";
  51. else
  52. result = result + std::to_string(GENERAL[_analog]->ROI[i]->result_klasse);
  53. }
  54. return result;
  55. }
  56. if ((CNNType == DoubleHyprid10))
  57. {
  58. float zahl = GENERAL[_analog]->ROI[GENERAL[_analog]->ROI.size() - 1]->result_float;
  59. if (zahl >= 0) // NaN?
  60. {
  61. if (_extendedResolution)
  62. {
  63. int ergebnis_nachkomma = ((int) floor(zahl * 10)) % 10;
  64. int ergebnis_vorkomma = ((int) floor(zahl)) % 10;
  65. result = std::to_string(ergebnis_vorkomma) + std::to_string(ergebnis_nachkomma);
  66. prev = ergebnis_vorkomma;
  67. }
  68. else
  69. {
  70. prev = ZeigerEval(GENERAL[_analog]->ROI[GENERAL[_analog]->ROI.size() - 1]->result_float, prev);
  71. // prev = ZeigerEvalHybrid(GENERAL[_analog]->ROI[GENERAL[_analog]->ROI.size() - 1]->result_float, prev, prev);
  72. result = std::to_string(prev);
  73. }
  74. }
  75. else
  76. {
  77. result = "N";
  78. if (_extendedResolution && (CNNType != Digital))
  79. result = "NN";
  80. }
  81. for (int i = GENERAL[_analog]->ROI.size() - 2; i >= 0; --i)
  82. {
  83. if (GENERAL[_analog]->ROI[i]->result_float >= 0)
  84. {
  85. prev = ZeigerEvalHybrid(GENERAL[_analog]->ROI[i]->result_float, GENERAL[_analog]->ROI[i+1]->result_float, prev);
  86. result = std::to_string(prev) + result;
  87. }
  88. else
  89. {
  90. prev = -1;
  91. result = "N" + result;
  92. }
  93. }
  94. return result;
  95. }
  96. if ((CNNType == DigitalHyprid))
  97. {
  98. int zif_akt = -1;
  99. float zahl = GENERAL[_analog]->ROI[GENERAL[_analog]->ROI.size() - 1]->result_float;
  100. if (zahl >= 0) // NaN?
  101. {
  102. if (_extendedResolution)
  103. {
  104. int ergebnis_nachkomma = ((int) floor(zahl * 10)) % 10;
  105. int ergebnis_vorkomma = ((int) floor(zahl)) % 10;
  106. result = std::to_string(ergebnis_vorkomma) + std::to_string(ergebnis_nachkomma);
  107. zif_akt = ergebnis_vorkomma;
  108. }
  109. else
  110. {
  111. zif_akt = ZeigerEvalHybrid(GENERAL[_analog]->ROI[GENERAL[_analog]->ROI.size() - 1]->result_float, -1, -1);
  112. result = std::to_string(zif_akt);
  113. }
  114. }
  115. else
  116. {
  117. result = "N";
  118. if (_extendedResolution && (CNNType != Digital))
  119. result = "NN";
  120. }
  121. for (int i = GENERAL[_analog]->ROI.size() - 2; i >= 0; --i)
  122. {
  123. if (GENERAL[_analog]->ROI[i]->result_float >= 0)
  124. {
  125. zif_akt = ZeigerEvalHybrid(GENERAL[_analog]->ROI[i]->result_float, GENERAL[_analog]->ROI[i+1]->result_float, zif_akt);
  126. result = std::to_string(zif_akt) + result;
  127. }
  128. else
  129. {
  130. zif_akt = -1;
  131. result = "N" + result;
  132. }
  133. }
  134. return result;
  135. }
  136. return result;
  137. }
  138. int ClassFlowCNNGeneral::ZeigerEvalHybrid(float zahl, float zahl_vorgaenger, int eval_vorgaenger)
  139. {
  140. int ergebnis_nachkomma = ((int) floor(zahl * 10)) % 10;
  141. if (zahl_vorgaenger < 0) // keine Vorzahl vorhanden !!! --> Runde die Zahl
  142. {
  143. if ((ergebnis_nachkomma <= 2) || (ergebnis_nachkomma >= 8)) // Band um die Ziffer --> Runden, da Ziffer im Rahmen Ungenauigkeit erreicht
  144. return ((int) round(zahl) + 10) % 10;
  145. else
  146. return ((int) trunc(zahl) + 10) % 10;
  147. }
  148. if (zahl_vorgaenger > 9.2) // Ziffernwechsel beginnt
  149. {
  150. if (eval_vorgaenger == 0) // Wechsel hat schon stattgefunden
  151. {
  152. return ((int) round(zahl) + 10) % 10; // Annahme, dass die neue Zahl schon in der Nähe des Ziels ist
  153. }
  154. else
  155. {
  156. if (zahl_vorgaenger <= 9.5) // Wechsel startet gerade, aber beginnt erst
  157. {
  158. if ((ergebnis_nachkomma <= 2) || (ergebnis_nachkomma >= 8)) // Band um die Ziffer --> Runden, da Ziffer im Rahmen Ungenauigkeit erreicht
  159. return ((int) round(zahl) + 10) % 10;
  160. else
  161. return ((int) trunc(zahl) + 10) % 10;
  162. }
  163. else
  164. {
  165. return ((int) trunc(zahl) + 10) % 10; // Wechsel schon weiter fortgeschritten, d.h. über 2 als Nachkomma
  166. }
  167. }
  168. }
  169. if ((ergebnis_nachkomma <= 2) || (ergebnis_nachkomma >= 8)) // Band um die Ziffer --> Runden, da Ziffer im Rahmen Ungenauigkeit erreicht
  170. return ((int) round(zahl) + 10) % 10;
  171. return ((int) trunc(zahl) + 10) % 10;
  172. }
  173. int ClassFlowCNNGeneral::ZeigerEval(float zahl, int ziffer_vorgaenger)
  174. {
  175. int ergebnis_nachkomma = ((int) floor(zahl * 10) + 10) % 10;
  176. int ergebnis_vorkomma = ((int) floor(zahl) + 10) % 10;
  177. int ergebnis, ergebnis_rating;
  178. if (ziffer_vorgaenger == -1)
  179. return ergebnis_vorkomma % 10;
  180. ergebnis_rating = ergebnis_nachkomma - ziffer_vorgaenger;
  181. if (ergebnis_nachkomma >= 5)
  182. ergebnis_rating-=5;
  183. else
  184. ergebnis_rating+=5;
  185. ergebnis = (int) round(zahl);
  186. if (ergebnis_rating < 0)
  187. ergebnis-=1;
  188. if (ergebnis == -1)
  189. ergebnis+=10;
  190. ergebnis = (ergebnis + 10) % 10;
  191. return ergebnis;
  192. }
  193. bool ClassFlowCNNGeneral::ReadParameter(FILE* pfile, string& aktparamgraph)
  194. {
  195. std::vector<string> zerlegt;
  196. aktparamgraph = trim(aktparamgraph);
  197. if (aktparamgraph.size() == 0)
  198. if (!this->GetNextParagraph(pfile, aktparamgraph))
  199. return false;
  200. if ((toUpper(aktparamgraph) != "[ANALOG]") && (toUpper(aktparamgraph) != ";[ANALOG]")
  201. && (toUpper(aktparamgraph) != "[DIGIT]") && (toUpper(aktparamgraph) != ";[DIGIT]")
  202. && (toUpper(aktparamgraph) != "[DIGITS]") && (toUpper(aktparamgraph) != ";[DIGITS]")
  203. ) // Paragraph passt nicht
  204. return false;
  205. if (aktparamgraph[0] == ';')
  206. {
  207. disabled = true;
  208. while (getNextLine(pfile, &aktparamgraph) && !isNewParagraph(aktparamgraph));
  209. printf("[Analog/Digit] is disabled !!!\n");
  210. return true;
  211. }
  212. while (this->getNextLine(pfile, &aktparamgraph) && !this->isNewParagraph(aktparamgraph))
  213. {
  214. zerlegt = this->ZerlegeZeile(aktparamgraph);
  215. if ((toUpper(zerlegt[0]) == "LOGIMAGELOCATION") && (zerlegt.size() > 1))
  216. {
  217. this->LogImageLocation = "/sdcard" + zerlegt[1];
  218. this->isLogImage = true;
  219. }
  220. if ((toUpper(zerlegt[0]) == "LOGIMAGESELECT") && (zerlegt.size() > 1))
  221. {
  222. LogImageSelect = zerlegt[1];
  223. isLogImageSelect = true;
  224. }
  225. if ((toUpper(zerlegt[0]) == "LOGFILERETENTIONINDAYS") && (zerlegt.size() > 1))
  226. {
  227. this->logfileRetentionInDays = std::stoi(zerlegt[1]);
  228. }
  229. if ((toUpper(zerlegt[0]) == "MODELTYPE") && (zerlegt.size() > 1))
  230. {
  231. if (toUpper(zerlegt[1]) == "DIGITHYPRID")
  232. CNNType = DigitalHyprid;
  233. }
  234. if ((toUpper(zerlegt[0]) == "MODEL") && (zerlegt.size() > 1))
  235. {
  236. this->cnnmodelfile = zerlegt[1];
  237. }
  238. if ((toUpper(zerlegt[0]) == "CNNGOODTHRESHOLD") && (zerlegt.size() > 1))
  239. {
  240. CNNGoodThreshold = std::stof(zerlegt[1]);
  241. }
  242. /* if ((toUpper(zerlegt[0]) == "MODELINPUTSIZE") && (zerlegt.size() > 2))
  243. {
  244. this->modelxsize = std::stoi(zerlegt[1]);
  245. this->modelysize = std::stoi(zerlegt[2]);
  246. }
  247. */
  248. if (zerlegt.size() >= 5)
  249. {
  250. general* _analog = GetGENERAL(zerlegt[0], true);
  251. roi* neuroi = _analog->ROI[_analog->ROI.size()-1];
  252. neuroi->posx = std::stoi(zerlegt[1]);
  253. neuroi->posy = std::stoi(zerlegt[2]);
  254. neuroi->deltax = std::stoi(zerlegt[3]);
  255. neuroi->deltay = std::stoi(zerlegt[4]);
  256. neuroi->result_float = -1;
  257. neuroi->image = NULL;
  258. neuroi->image_org = NULL;
  259. }
  260. if ((toUpper(zerlegt[0]) == "SAVEALLFILES") && (zerlegt.size() > 1))
  261. {
  262. if (toUpper(zerlegt[1]) == "TRUE")
  263. SaveAllFiles = true;
  264. }
  265. }
  266. if (!getNetworkParameter())
  267. return false;
  268. for (int _ana = 0; _ana < GENERAL.size(); ++_ana)
  269. for (int i = 0; i < GENERAL[_ana]->ROI.size(); ++i)
  270. {
  271. GENERAL[_ana]->ROI[i]->image = new CImageBasis(modelxsize, modelysize, modelchannel);
  272. GENERAL[_ana]->ROI[i]->image_org = new CImageBasis(GENERAL[_ana]->ROI[i]->deltax, GENERAL[_ana]->ROI[i]->deltay, 3);
  273. }
  274. return true;
  275. }
  276. general* ClassFlowCNNGeneral::FindGENERAL(string _name_number)
  277. {
  278. for (int i = 0; i < GENERAL.size(); ++i)
  279. if (GENERAL[i]->name == _name_number)
  280. return GENERAL[i];
  281. return NULL;
  282. }
  283. general* ClassFlowCNNGeneral::GetGENERAL(string _name, bool _create = true)
  284. {
  285. string _analog, _roi;
  286. int _pospunkt = _name.find_first_of(".");
  287. if (_pospunkt > -1)
  288. {
  289. _analog = _name.substr(0, _pospunkt);
  290. _roi = _name.substr(_pospunkt+1, _name.length() - _pospunkt - 1);
  291. }
  292. else
  293. {
  294. _analog = "default";
  295. _roi = _name;
  296. }
  297. general *_ret = NULL;
  298. for (int i = 0; i < GENERAL.size(); ++i)
  299. if (GENERAL[i]->name == _analog)
  300. _ret = GENERAL[i];
  301. if (!_create) // nicht gefunden und soll auch nicht erzeugt werden
  302. return _ret;
  303. if (_ret == NULL)
  304. {
  305. _ret = new general;
  306. _ret->name = _analog;
  307. GENERAL.push_back(_ret);
  308. }
  309. roi* neuroi = new roi;
  310. neuroi->name = _roi;
  311. _ret->ROI.push_back(neuroi);
  312. printf("GetGENERAL - GENERAL %s - roi %s\n", _analog.c_str(), _roi.c_str());
  313. return _ret;
  314. }
  315. string ClassFlowCNNGeneral::getHTMLSingleStep(string host)
  316. {
  317. string result, zw;
  318. std::vector<HTMLInfo*> htmlinfo;
  319. result = "<p>Found ROIs: </p> <p><img src=\"" + host + "/img_tmp/alg_roi.jpg\"></p>\n";
  320. result = result + "Analog Pointers: <p> ";
  321. htmlinfo = GetHTMLInfo();
  322. for (int i = 0; i < htmlinfo.size(); ++i)
  323. {
  324. std::stringstream stream;
  325. stream << std::fixed << std::setprecision(1) << htmlinfo[i]->val;
  326. zw = stream.str();
  327. result = result + "<img src=\"" + host + "/img_tmp/" + htmlinfo[i]->filename + "\"> " + zw;
  328. delete htmlinfo[i];
  329. }
  330. htmlinfo.clear();
  331. return result;
  332. }
  333. bool ClassFlowCNNGeneral::doFlow(string time)
  334. {
  335. if (disabled)
  336. return true;
  337. if (!doAlignAndCut(time)){
  338. return false;
  339. };
  340. if (debugdetailgeneral) LogFile.WriteToFile("ClassFlowCNNGeneral::doFlow nach Alignment");
  341. doNeuralNetwork(time);
  342. RemoveOldLogs();
  343. return true;
  344. }
  345. bool ClassFlowCNNGeneral::doAlignAndCut(string time)
  346. {
  347. if (disabled)
  348. return true;
  349. CAlignAndCutImage *caic = flowpostalignment->GetAlignAndCutImage();
  350. for (int _ana = 0; _ana < GENERAL.size(); ++_ana)
  351. for (int i = 0; i < GENERAL[_ana]->ROI.size(); ++i)
  352. {
  353. printf("General %d - Align&Cut\n", i);
  354. caic->CutAndSave(GENERAL[_ana]->ROI[i]->posx, GENERAL[_ana]->ROI[i]->posy, GENERAL[_ana]->ROI[i]->deltax, GENERAL[_ana]->ROI[i]->deltay, GENERAL[_ana]->ROI[i]->image_org);
  355. if (SaveAllFiles)
  356. {
  357. if (GENERAL[_ana]->name == "default")
  358. GENERAL[_ana]->ROI[i]->image_org->SaveToFile(FormatFileName("/sdcard/img_tmp/" + GENERAL[_ana]->ROI[i]->name + ".jpg"));
  359. else
  360. GENERAL[_ana]->ROI[i]->image_org->SaveToFile(FormatFileName("/sdcard/img_tmp/" + GENERAL[_ana]->name + "_" + GENERAL[_ana]->ROI[i]->name + ".jpg"));
  361. }
  362. GENERAL[_ana]->ROI[i]->image_org->Resize(modelxsize, modelysize, GENERAL[_ana]->ROI[i]->image);
  363. if (SaveAllFiles)
  364. {
  365. if (GENERAL[_ana]->name == "default")
  366. GENERAL[_ana]->ROI[i]->image->SaveToFile(FormatFileName("/sdcard/img_tmp/" + GENERAL[_ana]->ROI[i]->name + ".bmp"));
  367. else
  368. GENERAL[_ana]->ROI[i]->image->SaveToFile(FormatFileName("/sdcard/img_tmp/" + GENERAL[_ana]->name + "_" + GENERAL[_ana]->ROI[i]->name + ".bmp"));
  369. }
  370. }
  371. return true;
  372. }
  373. void ClassFlowCNNGeneral::DrawROI(CImageBasis *_zw)
  374. {
  375. if (CNNType == Analogue)
  376. {
  377. int r = 0;
  378. int g = 255;
  379. int b = 0;
  380. for (int _ana = 0; _ana < GENERAL.size(); ++_ana)
  381. for (int i = 0; i < GENERAL[_ana]->ROI.size(); ++i)
  382. {
  383. _zw->drawRect(GENERAL[_ana]->ROI[i]->posx, GENERAL[_ana]->ROI[i]->posy, GENERAL[_ana]->ROI[i]->deltax, GENERAL[_ana]->ROI[i]->deltay, r, g, b, 1);
  384. _zw->drawEllipse( (int) (GENERAL[_ana]->ROI[i]->posx + GENERAL[_ana]->ROI[i]->deltax/2), (int) (GENERAL[_ana]->ROI[i]->posy + GENERAL[_ana]->ROI[i]->deltay/2), (int) (GENERAL[_ana]->ROI[i]->deltax/2), (int) (GENERAL[_ana]->ROI[i]->deltay/2), r, g, b, 2);
  385. _zw->drawLine((int) (GENERAL[_ana]->ROI[i]->posx + GENERAL[_ana]->ROI[i]->deltax/2), (int) GENERAL[_ana]->ROI[i]->posy, (int) (GENERAL[_ana]->ROI[i]->posx + GENERAL[_ana]->ROI[i]->deltax/2), (int) (GENERAL[_ana]->ROI[i]->posy + GENERAL[_ana]->ROI[i]->deltay), r, g, b, 2);
  386. _zw->drawLine((int) GENERAL[_ana]->ROI[i]->posx, (int) (GENERAL[_ana]->ROI[i]->posy + GENERAL[_ana]->ROI[i]->deltay/2), (int) GENERAL[_ana]->ROI[i]->posx + GENERAL[_ana]->ROI[i]->deltax, (int) (GENERAL[_ana]->ROI[i]->posy + GENERAL[_ana]->ROI[i]->deltay/2), r, g, b, 2);
  387. }
  388. }
  389. else
  390. {
  391. for (int _dig = 0; _dig < GENERAL.size(); ++_dig)
  392. for (int i = 0; i < GENERAL[_dig]->ROI.size(); ++i)
  393. _zw->drawRect(GENERAL[_dig]->ROI[i]->posx, GENERAL[_dig]->ROI[i]->posy, GENERAL[_dig]->ROI[i]->deltax, GENERAL[_dig]->ROI[i]->deltay, 0, 0, (255 - _dig*100), 2);
  394. }
  395. }
  396. bool ClassFlowCNNGeneral::getNetworkParameter()
  397. {
  398. if (disabled)
  399. return true;
  400. CTfLiteClass *tflite = new CTfLiteClass;
  401. string zwcnn = "/sdcard" + cnnmodelfile;
  402. zwcnn = FormatFileName(zwcnn);
  403. printf(zwcnn.c_str());printf("\n");
  404. if (!tflite->LoadModel(zwcnn)) {
  405. printf("Can't read model file /sdcard%s\n", cnnmodelfile.c_str());
  406. LogFile.WriteToFile("Cannot load model");
  407. delete tflite;
  408. return false;
  409. }
  410. tflite->MakeAllocate();
  411. if (CNNType == AutoDetect)
  412. {
  413. tflite->GetInputDimension(false);
  414. modelxsize = tflite->ReadInputDimenstion(0);
  415. modelysize = tflite->ReadInputDimenstion(1);
  416. modelchannel = tflite->ReadInputDimenstion(2);
  417. int _anzoutputdimensions = tflite->GetAnzOutPut();
  418. switch (_anzoutputdimensions)
  419. {
  420. case 2:
  421. CNNType = Analogue;
  422. printf("TFlite-Type set to Analogue\n");
  423. break;
  424. case 10:
  425. CNNType = DoubleHyprid10;
  426. printf("TFlite-Type set to DoubleHyprid10\n");
  427. break;
  428. case 11:
  429. CNNType = Digital;
  430. printf("TFlite-Type set to Digital\n");
  431. break;
  432. case 20:
  433. CNNType = DigitalHyprid10;
  434. printf("TFlite-Type set to DigitalHyprid10\n");
  435. break;
  436. case 22:
  437. CNNType = DigitalHyprid;
  438. printf("TFlite-Type set to DigitalHyprid\n");
  439. break;
  440. default:
  441. printf("ERROR ERROR ERROR - tflite passt nicht zur Firmware - ERROR ERROR ERROR\n");
  442. }
  443. }
  444. delete tflite;
  445. return true;
  446. }
  447. bool ClassFlowCNNGeneral::doNeuralNetwork(string time)
  448. {
  449. if (disabled)
  450. return true;
  451. string logPath = CreateLogFolder(time);
  452. CTfLiteClass *tflite = new CTfLiteClass;
  453. string zwcnn = "/sdcard" + cnnmodelfile;
  454. zwcnn = FormatFileName(zwcnn);
  455. printf(zwcnn.c_str());printf("\n");
  456. if (!tflite->LoadModel(zwcnn)) {
  457. printf("Can't read model file /sdcard%s\n", cnnmodelfile.c_str());
  458. LogFile.WriteToFile("Cannot load model");
  459. delete tflite;
  460. return false;
  461. }
  462. tflite->MakeAllocate();
  463. for (int _ana = 0; _ana < GENERAL.size(); ++_ana)
  464. {
  465. for (int i = 0; i < GENERAL[_ana]->ROI.size(); ++i)
  466. {
  467. printf("General %d - TfLite\n", i);
  468. switch (CNNType) {
  469. case Analogue:
  470. {
  471. float f1, f2;
  472. f1 = 0; f2 = 0;
  473. tflite->LoadInputImageBasis(GENERAL[_ana]->ROI[i]->image);
  474. tflite->Invoke();
  475. if (debugdetailgeneral) LogFile.WriteToFile("Nach Invoke");
  476. f1 = tflite->GetOutputValue(0);
  477. f2 = tflite->GetOutputValue(1);
  478. float result = fmod(atan2(f1, f2) / (M_PI * 2) + 2, 1);
  479. GENERAL[_ana]->ROI[i]->result_float = result * 10;
  480. printf("Result General(Analog)%i: %f\n", i, GENERAL[_ana]->ROI[i]->result_float);
  481. if (isLogImage)
  482. LogImage(logPath, GENERAL[_ana]->ROI[i]->name, &GENERAL[_ana]->ROI[i]->result_float, NULL, time, GENERAL[_ana]->ROI[i]->image_org);
  483. } break;
  484. case Digital:
  485. {
  486. GENERAL[_ana]->ROI[i]->result_klasse = 0;
  487. GENERAL[_ana]->ROI[i]->result_klasse = tflite->GetClassFromImageBasis(GENERAL[_ana]->ROI[i]->image);
  488. printf("Result General(Digit)%i: %d\n", i, GENERAL[_ana]->ROI[i]->result_klasse);
  489. if (isLogImage)
  490. {
  491. string _imagename = GENERAL[_ana]->name + "_" + GENERAL[_ana]->ROI[i]->name;
  492. if (isLogImageSelect)
  493. {
  494. if (LogImageSelect.find(GENERAL[_ana]->ROI[i]->name) != std::string::npos)
  495. LogImage(logPath, _imagename, NULL, &GENERAL[_ana]->ROI[i]->result_klasse, time, GENERAL[_ana]->ROI[i]->image_org);
  496. }
  497. else
  498. {
  499. LogImage(logPath, _imagename, NULL, &GENERAL[_ana]->ROI[i]->result_klasse, time, GENERAL[_ana]->ROI[i]->image_org);
  500. }
  501. }
  502. } break;
  503. case DigitalHyprid:
  504. {
  505. int _num, _nachkomma;
  506. tflite->LoadInputImageBasis(GENERAL[_ana]->ROI[i]->image);
  507. tflite->Invoke();
  508. if (debugdetailgeneral) LogFile.WriteToFile("Nach Invoke");
  509. _num = tflite->GetOutClassification(0, 10);
  510. _nachkomma = tflite->GetOutClassification(11, 21);
  511. string _zwres = "Nach Invoke - Nummer: " + to_string(_num) + " Nachkomma: " + to_string(_nachkomma);
  512. if (debugdetailgeneral) LogFile.WriteToFile(_zwres);
  513. if ((_num == 10) || (_nachkomma == 10)) // NaN detektiert
  514. GENERAL[_ana]->ROI[i]->result_float = -1;
  515. else
  516. GENERAL[_ana]->ROI[i]->result_float = fmod((double) _num + (((double)_nachkomma)-5)/10 + (double) 10, 10);
  517. printf("Result General(DigitalHyprid)%i: %f\n", i, GENERAL[_ana]->ROI[i]->result_float);
  518. _zwres = "Result General(DigitalHyprid)" + to_string(i) + ": " + to_string(GENERAL[_ana]->ROI[i]->result_float);
  519. if (debugdetailgeneral) LogFile.WriteToFile(_zwres);
  520. if (isLogImage)
  521. {
  522. string _imagename = GENERAL[_ana]->name + "_" + GENERAL[_ana]->ROI[i]->name;
  523. if (isLogImageSelect)
  524. {
  525. if (LogImageSelect.find(GENERAL[_ana]->ROI[i]->name) != std::string::npos)
  526. LogImage(logPath, _imagename, NULL, &GENERAL[_ana]->ROI[i]->result_klasse, time, GENERAL[_ana]->ROI[i]->image_org);
  527. }
  528. else
  529. {
  530. LogImage(logPath, _imagename, NULL, &GENERAL[_ana]->ROI[i]->result_klasse, time, GENERAL[_ana]->ROI[i]->image_org);
  531. }
  532. }
  533. } break;
  534. case DigitalHyprid10:
  535. {
  536. int _num, _nachkomma;
  537. tflite->LoadInputImageBasis(GENERAL[_ana]->ROI[i]->image);
  538. tflite->Invoke();
  539. if (debugdetailgeneral) LogFile.WriteToFile("Nach Invoke");
  540. _num = tflite->GetOutClassification(0, 9);
  541. _nachkomma = tflite->GetOutClassification(10, 19);
  542. string _zwres = "Nach Invoke - Nummer: " + to_string(_num) + " Nachkomma: " + to_string(_nachkomma);
  543. if (debugdetailgeneral) LogFile.WriteToFile(_zwres);
  544. GENERAL[_ana]->ROI[i]->result_float = fmod((double) _num + (((double)_nachkomma)-5)/10 + (double) 10, 10);
  545. printf("Result General(DigitalHyprid)%i: %f\n", i, GENERAL[_ana]->ROI[i]->result_float);
  546. _zwres = "Result General(DigitalHyprid)" + to_string(i) + ": " + to_string(GENERAL[_ana]->ROI[i]->result_float);
  547. if (debugdetailgeneral) LogFile.WriteToFile(_zwres);
  548. if (isLogImage)
  549. {
  550. string _imagename = GENERAL[_ana]->name + "_" + GENERAL[_ana]->ROI[i]->name;
  551. if (isLogImageSelect)
  552. {
  553. if (LogImageSelect.find(GENERAL[_ana]->ROI[i]->name) != std::string::npos)
  554. LogImage(logPath, _imagename, NULL, &GENERAL[_ana]->ROI[i]->result_klasse, time, GENERAL[_ana]->ROI[i]->image_org);
  555. }
  556. else
  557. {
  558. LogImage(logPath, _imagename, NULL, &GENERAL[_ana]->ROI[i]->result_klasse, time, GENERAL[_ana]->ROI[i]->image_org);
  559. }
  560. }
  561. } break;
  562. case DoubleHyprid10:
  563. {
  564. int _num, _numplus, _numminus;
  565. float _val, _valplus, _valminus;
  566. float _fit;
  567. float _result_save_file;
  568. tflite->LoadInputImageBasis(GENERAL[_ana]->ROI[i]->image);
  569. tflite->Invoke();
  570. if (debugdetailgeneral) LogFile.WriteToFile("Nach Invoke");
  571. _num = tflite->GetOutClassification(0, 9);
  572. _numplus = (_num + 1) % 10;
  573. _numminus = (_num - 1) % 10;
  574. _val = tflite->GetOutputValue(_num);
  575. _valplus = tflite->GetOutputValue(_numplus);
  576. _valminus = tflite->GetOutputValue(_numminus);
  577. float result = _num;
  578. if (_valplus > _numminus)
  579. {
  580. result = result + _valplus / (_valplus + _val);
  581. _fit = _val + _valplus;
  582. }
  583. else
  584. {
  585. result = result - _valminus / (_val + _valminus);
  586. _fit = _val + _valminus;
  587. }
  588. if (result > 10)
  589. result = result - 10;
  590. if (result < 0)
  591. result = result + 10;
  592. _result_save_file = result;
  593. if (_fit < CNNGoodThreshold)
  594. {
  595. GENERAL[_ana]->ROI[i]->isReject = true;
  596. result = -1;
  597. _result_save_file+= 100; // Für den Fall, dass fit nicht ausreichend, soll trotzdem das Ergebnis mit "-10x.y" abgespeichert werden.
  598. string zw = "Value Rejected due to Threshold (Fit: " + to_string(_fit) + "Threshold: " + to_string(CNNGoodThreshold);
  599. printf("Value Rejected due to Threshold (Fit: %f, Threshold: %f\n", _fit, CNNGoodThreshold);
  600. LogFile.WriteToFile(zw);
  601. }
  602. else
  603. {
  604. GENERAL[_ana]->ROI[i]->isReject = false;
  605. }
  606. GENERAL[_ana]->ROI[i]->result_float = result;
  607. printf("Result General(Analog)%i: %f\n", i, GENERAL[_ana]->ROI[i]->result_float);
  608. if (isLogImage)
  609. {
  610. string _imagename = GENERAL[_ana]->name + "_" + GENERAL[_ana]->ROI[i]->name;
  611. if (isLogImageSelect)
  612. {
  613. if (LogImageSelect.find(GENERAL[_ana]->ROI[i]->name) != std::string::npos)
  614. LogImage(logPath, _imagename, &_result_save_file, NULL, time, GENERAL[_ana]->ROI[i]->image_org);
  615. }
  616. else
  617. {
  618. LogImage(logPath, _imagename, &_result_save_file, NULL, time, GENERAL[_ana]->ROI[i]->image_org);
  619. }
  620. }
  621. }
  622. break;
  623. default:
  624. break;
  625. }
  626. }
  627. }
  628. delete tflite;
  629. return true;
  630. }
  631. bool ClassFlowCNNGeneral::isExtendedResolution(int _number)
  632. {
  633. if (!(CNNType == Digital))
  634. return true;
  635. return false;
  636. }
  637. std::vector<HTMLInfo*> ClassFlowCNNGeneral::GetHTMLInfo()
  638. {
  639. std::vector<HTMLInfo*> result;
  640. for (int _ana = 0; _ana < GENERAL.size(); ++_ana)
  641. for (int i = 0; i < GENERAL[_ana]->ROI.size(); ++i)
  642. {
  643. if (GENERAL[_ana]->name == "default")
  644. GENERAL[_ana]->ROI[i]->image->SaveToFile(FormatFileName("/sdcard/img_tmp/" + GENERAL[_ana]->ROI[i]->name + ".bmp"));
  645. else
  646. GENERAL[_ana]->ROI[i]->image->SaveToFile(FormatFileName("/sdcard/img_tmp/" + GENERAL[_ana]->name + "_" + GENERAL[_ana]->ROI[i]->name + ".bmp"));
  647. HTMLInfo *zw = new HTMLInfo;
  648. if (GENERAL[_ana]->name == "default")
  649. {
  650. zw->filename = GENERAL[_ana]->ROI[i]->name + ".bmp";
  651. zw->filename_org = GENERAL[_ana]->ROI[i]->name + ".jpg";
  652. }
  653. else
  654. {
  655. zw->filename = GENERAL[_ana]->name + "_" + GENERAL[_ana]->ROI[i]->name + ".bmp";
  656. zw->filename_org = GENERAL[_ana]->name + "_" + GENERAL[_ana]->ROI[i]->name + ".jpg";
  657. }
  658. if (CNNType == Digital)
  659. zw->val = GENERAL[_ana]->ROI[i]->result_klasse;
  660. else
  661. zw->val = GENERAL[_ana]->ROI[i]->result_float;
  662. zw->image = GENERAL[_ana]->ROI[i]->image;
  663. zw->image_org = GENERAL[_ana]->ROI[i]->image_org;
  664. result.push_back(zw);
  665. }
  666. return result;
  667. }
  668. int ClassFlowCNNGeneral::getAnzahlGENERAL()
  669. {
  670. return GENERAL.size();
  671. }
  672. string ClassFlowCNNGeneral::getNameGENERAL(int _analog)
  673. {
  674. if (_analog < GENERAL.size())
  675. return GENERAL[_analog]->name;
  676. return "GENERAL DOES NOT EXIST";
  677. }
  678. general* ClassFlowCNNGeneral::GetGENERAL(int _analog)
  679. {
  680. if (_analog < GENERAL.size())
  681. return GENERAL[_analog];
  682. return NULL;
  683. }
  684. void ClassFlowCNNGeneral::UpdateNameNumbers(std::vector<std::string> *_name_numbers)
  685. {
  686. for (int _dig = 0; _dig < GENERAL.size(); _dig++)
  687. {
  688. std::string _name = GENERAL[_dig]->name;
  689. bool found = false;
  690. for (int i = 0; i < (*_name_numbers).size(); ++i)
  691. {
  692. if ((*_name_numbers)[i] == _name)
  693. found = true;
  694. }
  695. if (!found)
  696. (*_name_numbers).push_back(_name);
  697. }
  698. }