ClassFlowCNNGeneral.cpp 36 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 = 0.0;
  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 (debugdetailgeneral) LogFile.WriteToFile("ClassFlowCNNGeneral::getReadout _analog=" + std::to_string(_analog) + ", _extendedResolution=" + std::to_string(_extendedResolution) + ", prev=" + std::to_string(prev));
  31. if (CNNType == Analogue || CNNType == Analogue100)
  32. {
  33. float zahl = GENERAL[_analog]->ROI[GENERAL[_analog]->ROI.size() - 1]->result_float;
  34. int ergebnis_nachkomma = ((int) floor(zahl * 10) + 10) % 10;
  35. prev = ZeigerEval(GENERAL[_analog]->ROI[GENERAL[_analog]->ROI.size() - 1]->result_float, prev);
  36. if (debugdetailgeneral) LogFile.WriteToFile("ClassFlowCNNGeneral::getReadout(analog) zahl=" + std::to_string(zahl) + ", ergebnis_nachkomma=" + std::to_string(ergebnis_nachkomma) + ", prev=" + std::to_string(prev));
  37. result = std::to_string(prev);
  38. if (_extendedResolution && (CNNType != Digital))
  39. result = result + std::to_string(ergebnis_nachkomma);
  40. for (int i = GENERAL[_analog]->ROI.size() - 2; i >= 0; --i)
  41. {
  42. prev = ZeigerEval(GENERAL[_analog]->ROI[i]->result_float, prev);
  43. result = std::to_string(prev) + result;
  44. }
  45. return result;
  46. }
  47. if (CNNType == Digital)
  48. {
  49. for (int i = 0; i < GENERAL[_analog]->ROI.size(); ++i)
  50. {
  51. if (GENERAL[_analog]->ROI[i]->result_klasse >= 10)
  52. result = result + "N";
  53. else
  54. result = result + std::to_string(GENERAL[_analog]->ROI[i]->result_klasse);
  55. }
  56. return result;
  57. }
  58. if ((CNNType == DoubleHyprid10) || (CNNType == Digital100))
  59. {
  60. float zahl = GENERAL[_analog]->ROI[GENERAL[_analog]->ROI.size() - 1]->result_float;
  61. if (zahl >= 0) // NaN?
  62. {
  63. if (_extendedResolution) // ist nur gesetzt, falls es die erste Ziffer ist (kein Analog vorher!)
  64. {
  65. int ergebnis_nachkomma = ((int) floor(zahl * 10)) % 10;
  66. int ergebnis_vorkomma = ((int) floor(zahl)) % 10;
  67. result = std::to_string(ergebnis_vorkomma) + std::to_string(ergebnis_nachkomma);
  68. prev = ergebnis_vorkomma;
  69. if (debugdetailgeneral) LogFile.WriteToFile("ClassFlowCNNGeneral::getReadout(dig100-ext) ergebnis_vorkomma=" + std::to_string(ergebnis_vorkomma) + ", ergebnis_nachkomma=" + std::to_string(ergebnis_nachkomma) + ", prev=" + std::to_string(prev));
  70. }
  71. else
  72. {
  73. // prev = ZeigerEval(GENERAL[_analog]->ROI[GENERAL[_analog]->ROI.size() - 1]->result_float, prev);
  74. prev = ZeigerEvalHybrid(GENERAL[_analog]->ROI[GENERAL[_analog]->ROI.size() - 1]->result_float, prev, prev);
  75. result = std::to_string(prev);
  76. if (debugdetailgeneral) LogFile.WriteToFile("ClassFlowCNNGeneral::getReadout(dig100) prev=" + std::to_string(prev));
  77. }
  78. }
  79. else
  80. {
  81. result = "N";
  82. if (_extendedResolution && (CNNType != Digital))
  83. result = "NN";
  84. }
  85. for (int i = GENERAL[_analog]->ROI.size() - 2; i >= 0; --i)
  86. {
  87. if (GENERAL[_analog]->ROI[i]->result_float >= 0)
  88. {
  89. prev = ZeigerEvalHybrid(GENERAL[_analog]->ROI[i]->result_float, GENERAL[_analog]->ROI[i+1]->result_float, prev);
  90. if (debugdetailgeneral) LogFile.WriteToFile("ClassFlowCNNGeneral::getReadout#ZeigerEvalHybrid()= " + std::to_string(prev));
  91. result = std::to_string(prev) + result;
  92. if (debugdetailgeneral) LogFile.WriteToFile("ClassFlowCNNGeneral::getReadout#result= " + result);
  93. }
  94. else
  95. {
  96. prev = -1;
  97. result = "N" + result;
  98. if (debugdetailgeneral) LogFile.WriteToFile("ClassFlowCNNGeneral::getReadout(result_float<0 /'N') result_float=" + std::to_string(GENERAL[_analog]->ROI[i]->result_float));
  99. }
  100. }
  101. return result;
  102. }
  103. /*
  104. if (CNNType == Digital100)
  105. {
  106. int zif_akt = -1;
  107. float zahl = GENERAL[_analog]->ROI[GENERAL[_analog]->ROI.size() - 1]->result_float;
  108. if (zahl >= 0) // NaN?
  109. {
  110. if (_extendedResolution)
  111. {
  112. int ergebnis_nachkomma = ((int) floor(zahl * 10)) % 10;
  113. int ergebnis_vorkomma = ((int) floor(zahl)) % 10;
  114. result = std::to_string(ergebnis_vorkomma) + std::to_string(ergebnis_nachkomma);
  115. zif_akt = ergebnis_vorkomma;
  116. }
  117. else
  118. {
  119. zif_akt = ZeigerEvalHybrid(GENERAL[_analog]->ROI[GENERAL[_analog]->ROI.size() - 1]->result_float, -1, -1);
  120. result = std::to_string(zif_akt);
  121. }
  122. }
  123. else
  124. {
  125. result = "N";
  126. if (_extendedResolution && (CNNType != Digital))
  127. result = "NN";
  128. }
  129. for (int i = GENERAL[_analog]->ROI.size() - 2; i >= 0; --i)
  130. {
  131. if (GENERAL[_analog]->ROI[i]->result_float >= 0)
  132. {
  133. zif_akt = ZeigerEvalHybrid(GENERAL[_analog]->ROI[i]->result_float, GENERAL[_analog]->ROI[i+1]->result_float, zif_akt);
  134. result = std::to_string(zif_akt) + result;
  135. }
  136. else
  137. {
  138. zif_akt = -1;
  139. result = "N" + result;
  140. }
  141. }
  142. return result;
  143. }
  144. */
  145. return result;
  146. }
  147. int ClassFlowCNNGeneral::ZeigerEvalHybrid(float zahl, float zahl_vorgaenger, int eval_vorgaenger)
  148. {
  149. if (debugdetailgeneral) LogFile.WriteToFile("ClassFlowCNNGeneral::ZeigerEvalHybrid( " + std::to_string(zahl) + ", " + std::to_string(zahl_vorgaenger) + ", " + std::to_string(eval_vorgaenger) + ")");
  150. int ergebnis_nachkomma = ((int) floor(zahl * 10)) % 10;
  151. int ergebnis_vorkomma = ((int) floor(zahl) + 10) % 10;
  152. if (eval_vorgaenger < 0) // keine Vorzahl vorhanden !!! --> Runde die Zahl
  153. {
  154. if ((ergebnis_nachkomma <= 2) || (ergebnis_nachkomma >= 8)) // Band um die Ziffer --> Runden, da Ziffer im Rahmen Ungenauigkeit erreicht
  155. return ((int) round(zahl) + 10) % 10;
  156. else
  157. return ((int) trunc(zahl) + 10) % 10;
  158. }
  159. // 9.0, da bei getReadout() prev als int übergeben wird (9 statt 9.5)
  160. // tritt bei der ersten ziffer von digit auf, wenn analog davor (2. Aufruf von getReadout)
  161. if ((zahl_vorgaenger >= 0.5 ) && (zahl_vorgaenger < 9.0))
  162. {
  163. // kein Ziffernwechsel, da Vorkomma weit genug weg ist (0+/-0.5) --> zahl wird gerundet
  164. return ((int) round(zahl) + 10) % 10;
  165. }
  166. else
  167. {
  168. if (eval_vorgaenger <= 1) // Nulldurchgang hat stattgefunden (!Bewertung über Prev_value und nicht Zahl!) --> hier aufrunden (2.8 --> 3, aber auch 3.1 --> 3)
  169. {
  170. if (ergebnis_nachkomma > 5)
  171. return (ergebnis_vorkomma + 1) % 10;
  172. else
  173. return ergebnis_vorkomma;
  174. }
  175. else // bleibt nur >= 9.5 --> noch kein Nulldurchgang --> 2.8 --> 2, und 3.1 --> 2
  176. {
  177. // hier auf 4 reduziert, da erst ab Vorgänder 9 anfängt umzustellen. Bei 9.5 Vorgänger kann die aktuelle
  178. // Zahl noch x.4 - x.5 sein.
  179. if (ergebnis_nachkomma >= 4)
  180. return ergebnis_vorkomma;
  181. else
  182. return (ergebnis_vorkomma - 1 + 10) % 10;
  183. }
  184. }
  185. if (debugdetailgeneral) LogFile.WriteToFile("ClassFlowCNNGeneral::ZeigerEvalHybrid(return -1) zahl=" + std::to_string(zahl)
  186. + ", zahl_vorgaenger=" + std::to_string(zahl_vorgaenger) + ", eval_vorgaenger=" + std::to_string(eval_vorgaenger));
  187. return -1;
  188. /*
  189. if (zahl_vorgaenger > 9.2) // Ziffernwechsel beginnt
  190. {
  191. if (eval_vorgaenger == 0) // Wechsel hat schon stattgefunden
  192. {
  193. return ((int) round(zahl) + 10) % 10; // Annahme, dass die neue Zahl schon in der Nähe des Ziels ist
  194. }
  195. else
  196. {
  197. if (zahl_vorgaenger <= 9.5) // Wechsel startet gerade, aber beginnt erst
  198. {
  199. if ((ergebnis_nachkomma <= 2) || (ergebnis_nachkomma >= 8)) // Band um die Ziffer --> Runden, da Ziffer im Rahmen Ungenauigkeit erreicht
  200. return ((int) round(zahl) + 10) % 10;
  201. else
  202. return ((int) trunc(zahl) + 10) % 10;
  203. }
  204. else
  205. {
  206. return ((int) trunc(zahl) + 10) % 10; // Wechsel schon weiter fortgeschritten, d.h. über 2 als Nachkomma
  207. }
  208. }
  209. }
  210. if ((ergebnis_nachkomma <= 2) || (ergebnis_nachkomma >= 8)) // Band um die Ziffer --> Runden, da Ziffer im Rahmen Ungenauigkeit erreicht
  211. return ((int) round(zahl) + 10) % 10;
  212. return ((int) trunc(zahl) + 10) % 10;
  213. */
  214. }
  215. int ClassFlowCNNGeneral::ZeigerEval(float zahl, int ziffer_vorgaenger)
  216. {
  217. int ergebnis_nachkomma = ((int) floor(zahl * 10) + 10) % 10;
  218. int ergebnis_vorkomma = ((int) floor(zahl) + 10) % 10;
  219. int ergebnis;
  220. float ergebnis_rating;
  221. if (debugdetailgeneral) LogFile.WriteToFile("ClassFlowCNNGeneral::ZeigerEval erg_v=" + std::to_string(ergebnis_vorkomma) + ", erg_n=" + std::to_string(ergebnis_nachkomma) + ", ziff_v=" + std::to_string(ziffer_vorgaenger));
  222. if (ziffer_vorgaenger == -1)
  223. return ergebnis_vorkomma % 10;
  224. // Ist die aktuelle Stelle schon umgesprungen und die Vorstelle noch nicht?
  225. // Akt.: 2.1, Vorstelle = 0.9 => 1.9
  226. // Problem sind mehrere Rundungen
  227. // Bsp. zahl=4.5, Vorgänger= 9.6 (ziffer_vorgaenger=0)
  228. // Tritt nur auf bei Übergang von analog auf digit
  229. ergebnis_rating = ergebnis_nachkomma - ziffer_vorgaenger;
  230. if (ergebnis_nachkomma >= 5)
  231. ergebnis_rating-=5.1;
  232. else
  233. ergebnis_rating+=5;
  234. ergebnis = (int) round(zahl);
  235. if (ergebnis_rating < 0)
  236. ergebnis-=1;
  237. if (ergebnis == -1)
  238. ergebnis+=10;
  239. ergebnis = (ergebnis + 10) % 10;
  240. return ergebnis;
  241. }
  242. bool ClassFlowCNNGeneral::ReadParameter(FILE* pfile, string& aktparamgraph)
  243. {
  244. std::vector<string> zerlegt;
  245. aktparamgraph = trim(aktparamgraph);
  246. if (aktparamgraph.size() == 0)
  247. if (!this->GetNextParagraph(pfile, aktparamgraph))
  248. return false;
  249. if ((toUpper(aktparamgraph) != "[ANALOG]") && (toUpper(aktparamgraph) != ";[ANALOG]")
  250. && (toUpper(aktparamgraph) != "[DIGIT]") && (toUpper(aktparamgraph) != ";[DIGIT]")
  251. && (toUpper(aktparamgraph) != "[DIGITS]") && (toUpper(aktparamgraph) != ";[DIGITS]")
  252. ) // Paragraph passt nicht
  253. return false;
  254. if (aktparamgraph[0] == ';')
  255. {
  256. disabled = true;
  257. while (getNextLine(pfile, &aktparamgraph) && !isNewParagraph(aktparamgraph));
  258. printf("[Analog/Digit] is disabled !!!\n");
  259. return true;
  260. }
  261. while (this->getNextLine(pfile, &aktparamgraph) && !this->isNewParagraph(aktparamgraph))
  262. {
  263. zerlegt = this->ZerlegeZeile(aktparamgraph);
  264. if ((toUpper(zerlegt[0]) == "LOGIMAGELOCATION") && (zerlegt.size() > 1))
  265. {
  266. this->LogImageLocation = "/sdcard" + zerlegt[1];
  267. this->isLogImage = true;
  268. }
  269. if ((toUpper(zerlegt[0]) == "LOGIMAGESELECT") && (zerlegt.size() > 1))
  270. {
  271. LogImageSelect = zerlegt[1];
  272. isLogImageSelect = true;
  273. }
  274. if ((toUpper(zerlegt[0]) == "LOGFILERETENTIONINDAYS") && (zerlegt.size() > 1))
  275. {
  276. this->logfileRetentionInDays = std::stoi(zerlegt[1]);
  277. }
  278. // if ((toUpper(zerlegt[0]) == "MODELTYPE") && (zerlegt.size() > 1))
  279. // {
  280. // if (toUpper(zerlegt[1]) == "DIGITHYPRID")
  281. // CNNType = DigitalHyprid;
  282. // }
  283. if ((toUpper(zerlegt[0]) == "MODEL") && (zerlegt.size() > 1))
  284. {
  285. this->cnnmodelfile = zerlegt[1];
  286. }
  287. if ((toUpper(zerlegt[0]) == "CNNGOODTHRESHOLD") && (zerlegt.size() > 1))
  288. {
  289. CNNGoodThreshold = std::stof(zerlegt[1]);
  290. }
  291. if (zerlegt.size() >= 5)
  292. {
  293. general* _analog = GetGENERAL(zerlegt[0], true);
  294. roi* neuroi = _analog->ROI[_analog->ROI.size()-1];
  295. neuroi->posx = std::stoi(zerlegt[1]);
  296. neuroi->posy = std::stoi(zerlegt[2]);
  297. neuroi->deltax = std::stoi(zerlegt[3]);
  298. neuroi->deltay = std::stoi(zerlegt[4]);
  299. neuroi->result_float = -1;
  300. neuroi->image = NULL;
  301. neuroi->image_org = NULL;
  302. }
  303. if ((toUpper(zerlegt[0]) == "SAVEALLFILES") && (zerlegt.size() > 1))
  304. {
  305. if (toUpper(zerlegt[1]) == "TRUE")
  306. SaveAllFiles = true;
  307. }
  308. }
  309. if (!getNetworkParameter())
  310. return false;
  311. for (int _ana = 0; _ana < GENERAL.size(); ++_ana)
  312. for (int i = 0; i < GENERAL[_ana]->ROI.size(); ++i)
  313. {
  314. GENERAL[_ana]->ROI[i]->image = new CImageBasis(modelxsize, modelysize, modelchannel);
  315. GENERAL[_ana]->ROI[i]->image_org = new CImageBasis(GENERAL[_ana]->ROI[i]->deltax, GENERAL[_ana]->ROI[i]->deltay, 3);
  316. }
  317. return true;
  318. }
  319. general* ClassFlowCNNGeneral::FindGENERAL(string _name_number)
  320. {
  321. for (int i = 0; i < GENERAL.size(); ++i)
  322. if (GENERAL[i]->name == _name_number)
  323. return GENERAL[i];
  324. return NULL;
  325. }
  326. general* ClassFlowCNNGeneral::GetGENERAL(string _name, bool _create = true)
  327. {
  328. string _analog, _roi;
  329. int _pospunkt = _name.find_first_of(".");
  330. if (_pospunkt > -1)
  331. {
  332. _analog = _name.substr(0, _pospunkt);
  333. _roi = _name.substr(_pospunkt+1, _name.length() - _pospunkt - 1);
  334. }
  335. else
  336. {
  337. _analog = "default";
  338. _roi = _name;
  339. }
  340. general *_ret = NULL;
  341. for (int i = 0; i < GENERAL.size(); ++i)
  342. if (GENERAL[i]->name == _analog)
  343. _ret = GENERAL[i];
  344. if (!_create) // nicht gefunden und soll auch nicht erzeugt werden
  345. return _ret;
  346. if (_ret == NULL)
  347. {
  348. _ret = new general;
  349. _ret->name = _analog;
  350. GENERAL.push_back(_ret);
  351. }
  352. roi* neuroi = new roi;
  353. neuroi->name = _roi;
  354. _ret->ROI.push_back(neuroi);
  355. printf("GetGENERAL - GENERAL %s - roi %s\n", _analog.c_str(), _roi.c_str());
  356. return _ret;
  357. }
  358. string ClassFlowCNNGeneral::getHTMLSingleStep(string host)
  359. {
  360. string result, zw;
  361. std::vector<HTMLInfo*> htmlinfo;
  362. result = "<p>Found ROIs: </p> <p><img src=\"" + host + "/img_tmp/alg_roi.jpg\"></p>\n";
  363. result = result + "Analog Pointers: <p> ";
  364. htmlinfo = GetHTMLInfo();
  365. for (int i = 0; i < htmlinfo.size(); ++i)
  366. {
  367. std::stringstream stream;
  368. stream << std::fixed << std::setprecision(1) << htmlinfo[i]->val;
  369. zw = stream.str();
  370. result = result + "<img src=\"" + host + "/img_tmp/" + htmlinfo[i]->filename + "\"> " + zw;
  371. delete htmlinfo[i];
  372. }
  373. htmlinfo.clear();
  374. return result;
  375. }
  376. bool ClassFlowCNNGeneral::doFlow(string time)
  377. {
  378. if (disabled)
  379. return true;
  380. if (!doAlignAndCut(time)){
  381. return false;
  382. };
  383. if (debugdetailgeneral) LogFile.WriteToFile("ClassFlowCNNGeneral::doFlow nach Alignment");
  384. doNeuralNetwork(time);
  385. RemoveOldLogs();
  386. return true;
  387. }
  388. bool ClassFlowCNNGeneral::doAlignAndCut(string time)
  389. {
  390. if (disabled)
  391. return true;
  392. CAlignAndCutImage *caic = flowpostalignment->GetAlignAndCutImage();
  393. for (int _ana = 0; _ana < GENERAL.size(); ++_ana)
  394. for (int i = 0; i < GENERAL[_ana]->ROI.size(); ++i)
  395. {
  396. printf("General %d - Align&Cut\n", i);
  397. 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);
  398. if (SaveAllFiles)
  399. {
  400. if (GENERAL[_ana]->name == "default")
  401. GENERAL[_ana]->ROI[i]->image_org->SaveToFile(FormatFileName("/sdcard/img_tmp/" + GENERAL[_ana]->ROI[i]->name + ".jpg"));
  402. else
  403. GENERAL[_ana]->ROI[i]->image_org->SaveToFile(FormatFileName("/sdcard/img_tmp/" + GENERAL[_ana]->name + "_" + GENERAL[_ana]->ROI[i]->name + ".jpg"));
  404. }
  405. GENERAL[_ana]->ROI[i]->image_org->Resize(modelxsize, modelysize, GENERAL[_ana]->ROI[i]->image);
  406. if (SaveAllFiles)
  407. {
  408. if (GENERAL[_ana]->name == "default")
  409. GENERAL[_ana]->ROI[i]->image->SaveToFile(FormatFileName("/sdcard/img_tmp/" + GENERAL[_ana]->ROI[i]->name + ".bmp"));
  410. else
  411. GENERAL[_ana]->ROI[i]->image->SaveToFile(FormatFileName("/sdcard/img_tmp/" + GENERAL[_ana]->name + "_" + GENERAL[_ana]->ROI[i]->name + ".bmp"));
  412. }
  413. }
  414. return true;
  415. }
  416. void ClassFlowCNNGeneral::DrawROI(CImageBasis *_zw)
  417. {
  418. if (CNNType == Analogue || CNNType == Analogue100)
  419. {
  420. int r = 0;
  421. int g = 255;
  422. int b = 0;
  423. for (int _ana = 0; _ana < GENERAL.size(); ++_ana)
  424. for (int i = 0; i < GENERAL[_ana]->ROI.size(); ++i)
  425. {
  426. _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);
  427. _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);
  428. _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);
  429. _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);
  430. }
  431. }
  432. else
  433. {
  434. for (int _dig = 0; _dig < GENERAL.size(); ++_dig)
  435. for (int i = 0; i < GENERAL[_dig]->ROI.size(); ++i)
  436. _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);
  437. }
  438. }
  439. bool ClassFlowCNNGeneral::getNetworkParameter()
  440. {
  441. if (disabled)
  442. return true;
  443. CTfLiteClass *tflite = new CTfLiteClass;
  444. string zwcnn = "/sdcard" + cnnmodelfile;
  445. zwcnn = FormatFileName(zwcnn);
  446. printf(zwcnn.c_str());printf("\n");
  447. if (!tflite->LoadModel(zwcnn)) {
  448. printf("Can't read model file /sdcard%s\n", cnnmodelfile.c_str());
  449. LogFile.WriteToFile("Cannot load model");
  450. delete tflite;
  451. return false;
  452. }
  453. tflite->MakeAllocate();
  454. if (CNNType == AutoDetect)
  455. {
  456. tflite->GetInputDimension(false);
  457. modelxsize = tflite->ReadInputDimenstion(0);
  458. modelysize = tflite->ReadInputDimenstion(1);
  459. modelchannel = tflite->ReadInputDimenstion(2);
  460. int _anzoutputdimensions = tflite->GetAnzOutPut();
  461. switch (_anzoutputdimensions)
  462. {
  463. case 2:
  464. CNNType = Analogue;
  465. printf("TFlite-Type set to Analogue\n");
  466. break;
  467. case 10:
  468. CNNType = DoubleHyprid10;
  469. printf("TFlite-Type set to DoubleHyprid10\n");
  470. break;
  471. case 11:
  472. CNNType = Digital;
  473. printf("TFlite-Type set to Digital\n");
  474. break;
  475. case 20:
  476. CNNType = DigitalHyprid10;
  477. printf("TFlite-Type set to DigitalHyprid10\n");
  478. break;
  479. // case 22:
  480. // CNNType = DigitalHyprid;
  481. // printf("TFlite-Type set to DigitalHyprid\n");
  482. // break;
  483. case 100:
  484. if (modelxsize==32 && modelysize == 32) {
  485. CNNType = Analogue100;
  486. printf("TFlite-Type set to Analogue100\n");
  487. } else {
  488. CNNType = Digital100;
  489. printf("TFlite-Type set to Digital\n");
  490. }
  491. break;
  492. default:
  493. LogFile.WriteToFile("ERROR ERROR ERROR - tflite passt nicht zur Firmware - ERROR ERROR ERROR (outout_dimension=" + std::to_string(_anzoutputdimensions) + ")");
  494. printf("ERROR ERROR ERROR - tflite passt nicht zur Firmware - ERROR ERROR ERROR\n");
  495. }
  496. }
  497. delete tflite;
  498. return true;
  499. }
  500. bool ClassFlowCNNGeneral::doNeuralNetwork(string time)
  501. {
  502. if (disabled)
  503. return true;
  504. string logPath = CreateLogFolder(time);
  505. CTfLiteClass *tflite = new CTfLiteClass;
  506. string zwcnn = "/sdcard" + cnnmodelfile;
  507. zwcnn = FormatFileName(zwcnn);
  508. printf(zwcnn.c_str());printf("\n");
  509. if (!tflite->LoadModel(zwcnn)) {
  510. printf("Can't read model file /sdcard%s\n", cnnmodelfile.c_str());
  511. LogFile.WriteToFile("Cannot load model");
  512. delete tflite;
  513. return false;
  514. }
  515. tflite->MakeAllocate();
  516. for (int _ana = 0; _ana < GENERAL.size(); ++_ana)
  517. {
  518. for (int i = 0; i < GENERAL[_ana]->ROI.size(); ++i)
  519. {
  520. printf("General %d - TfLite\n", i);
  521. switch (CNNType) {
  522. case Analogue:
  523. {
  524. float f1, f2;
  525. f1 = 0; f2 = 0;
  526. tflite->LoadInputImageBasis(GENERAL[_ana]->ROI[i]->image);
  527. tflite->Invoke();
  528. if (debugdetailgeneral) LogFile.WriteToFile("Nach Invoke");
  529. f1 = tflite->GetOutputValue(0);
  530. f2 = tflite->GetOutputValue(1);
  531. float result = fmod(atan2(f1, f2) / (M_PI * 2) + 2, 1);
  532. GENERAL[_ana]->ROI[i]->result_float = result * 10;
  533. printf("Result General(Analog)%i: %f\n", i, GENERAL[_ana]->ROI[i]->result_float);
  534. if (isLogImage)
  535. LogImage(logPath, GENERAL[_ana]->ROI[i]->name, &GENERAL[_ana]->ROI[i]->result_float, NULL, time, GENERAL[_ana]->ROI[i]->image_org);
  536. } break;
  537. case Digital:
  538. {
  539. GENERAL[_ana]->ROI[i]->result_klasse = 0;
  540. GENERAL[_ana]->ROI[i]->result_klasse = tflite->GetClassFromImageBasis(GENERAL[_ana]->ROI[i]->image);
  541. printf("Result General(Digit)%i: %d\n", i, GENERAL[_ana]->ROI[i]->result_klasse);
  542. if (isLogImage)
  543. {
  544. string _imagename = GENERAL[_ana]->name + "_" + GENERAL[_ana]->ROI[i]->name;
  545. if (isLogImageSelect)
  546. {
  547. if (LogImageSelect.find(GENERAL[_ana]->ROI[i]->name) != std::string::npos)
  548. LogImage(logPath, _imagename, NULL, &GENERAL[_ana]->ROI[i]->result_klasse, time, GENERAL[_ana]->ROI[i]->image_org);
  549. }
  550. else
  551. {
  552. LogImage(logPath, _imagename, NULL, &GENERAL[_ana]->ROI[i]->result_klasse, time, GENERAL[_ana]->ROI[i]->image_org);
  553. }
  554. }
  555. } break;
  556. /*
  557. case DigitalHyprid:
  558. {
  559. int _num, _nachkomma;
  560. tflite->LoadInputImageBasis(GENERAL[_ana]->ROI[i]->image);
  561. tflite->Invoke();
  562. if (debugdetailgeneral) LogFile.WriteToFile("Nach Invoke");
  563. _num = tflite->GetOutClassification(0, 10);
  564. _nachkomma = tflite->GetOutClassification(11, 21);
  565. string _zwres = "Nach Invoke - Nummer: " + to_string(_num) + " Nachkomma: " + to_string(_nachkomma);
  566. if (debugdetailgeneral) LogFile.WriteToFile(_zwres);
  567. if ((_num == 10) || (_nachkomma == 10)) // NaN detektiert
  568. GENERAL[_ana]->ROI[i]->result_float = -1;
  569. else
  570. GENERAL[_ana]->ROI[i]->result_float = fmod((double) _num + (((double)_nachkomma)-5)/10 + (double) 10, 10);
  571. printf("Result General(DigitalHyprid)%i: %f\n", i, GENERAL[_ana]->ROI[i]->result_float);
  572. _zwres = "Result General(DigitalHyprid)" + to_string(i) + ": " + to_string(GENERAL[_ana]->ROI[i]->result_float);
  573. if (debugdetailgeneral) LogFile.WriteToFile(_zwres);
  574. if (isLogImage)
  575. {
  576. string _imagename = GENERAL[_ana]->name + "_" + GENERAL[_ana]->ROI[i]->name;
  577. if (isLogImageSelect)
  578. {
  579. if (LogImageSelect.find(GENERAL[_ana]->ROI[i]->name) != std::string::npos)
  580. LogImage(logPath, _imagename, NULL, &GENERAL[_ana]->ROI[i]->result_klasse, time, GENERAL[_ana]->ROI[i]->image_org);
  581. }
  582. else
  583. {
  584. LogImage(logPath, _imagename, NULL, &GENERAL[_ana]->ROI[i]->result_klasse, time, GENERAL[_ana]->ROI[i]->image_org);
  585. }
  586. }
  587. } break;
  588. */
  589. case DigitalHyprid10:
  590. {
  591. int _num, _nachkomma;
  592. tflite->LoadInputImageBasis(GENERAL[_ana]->ROI[i]->image);
  593. tflite->Invoke();
  594. if (debugdetailgeneral) LogFile.WriteToFile("Nach Invoke");
  595. _num = tflite->GetOutClassification(0, 9);
  596. _nachkomma = tflite->GetOutClassification(10, 19);
  597. string _zwres = "Nach Invoke - Nummer: " + to_string(_num) + " Nachkomma: " + to_string(_nachkomma);
  598. if (debugdetailgeneral) LogFile.WriteToFile(_zwres);
  599. GENERAL[_ana]->ROI[i]->result_float = fmod((double) _num + (((double)_nachkomma)-5)/10 + (double) 10, 10);
  600. printf("Result General(DigitalHyprid)%i: %f\n", i, GENERAL[_ana]->ROI[i]->result_float);
  601. _zwres = "Result General(DigitalHyprid)" + to_string(i) + ": " + to_string(GENERAL[_ana]->ROI[i]->result_float);
  602. if (debugdetailgeneral) LogFile.WriteToFile(_zwres);
  603. if (isLogImage)
  604. {
  605. string _imagename = GENERAL[_ana]->name + "_" + GENERAL[_ana]->ROI[i]->name;
  606. if (isLogImageSelect)
  607. {
  608. if (LogImageSelect.find(GENERAL[_ana]->ROI[i]->name) != std::string::npos)
  609. LogImage(logPath, _imagename, NULL, &GENERAL[_ana]->ROI[i]->result_klasse, time, GENERAL[_ana]->ROI[i]->image_org);
  610. }
  611. else
  612. {
  613. LogImage(logPath, _imagename, NULL, &GENERAL[_ana]->ROI[i]->result_klasse, time, GENERAL[_ana]->ROI[i]->image_org);
  614. }
  615. }
  616. } break;
  617. case DoubleHyprid10:
  618. {
  619. int _num, _numplus, _numminus;
  620. float _val, _valplus, _valminus;
  621. float _fit;
  622. float _result_save_file;
  623. tflite->LoadInputImageBasis(GENERAL[_ana]->ROI[i]->image);
  624. tflite->Invoke();
  625. if (debugdetailgeneral) LogFile.WriteToFile("Nach Invoke");
  626. _num = tflite->GetOutClassification(0, 9);
  627. _numplus = (_num + 1) % 10;
  628. _numminus = (_num - 1 + 10) % 10;
  629. _val = tflite->GetOutputValue(_num);
  630. _valplus = tflite->GetOutputValue(_numplus);
  631. _valminus = tflite->GetOutputValue(_numminus);
  632. float result = _num;
  633. if (_valplus > _valminus)
  634. {
  635. result = result + _valplus / (_valplus + _val);
  636. _fit = _val + _valplus;
  637. }
  638. else
  639. {
  640. result = result - _valminus / (_val + _valminus);
  641. _fit = _val + _valminus;
  642. }
  643. if (result > 10)
  644. result = result - 10;
  645. if (result < 0)
  646. result = result + 10;
  647. string zw = "_num (p, m): " + to_string(_num) + " " + to_string(_numplus) + " " + to_string(_numminus);
  648. zw = zw + " _val (p, m): " + to_string(_val) + " " + to_string(_valplus) + " " + to_string(_valminus);
  649. zw = zw + " result: " + to_string(result) + " _fit: " + to_string(_fit);
  650. printf("details cnn: %s\n", zw.c_str());
  651. LogFile.WriteToFile(zw);
  652. _result_save_file = result;
  653. if (_fit < CNNGoodThreshold)
  654. {
  655. GENERAL[_ana]->ROI[i]->isReject = true;
  656. result = -1;
  657. _result_save_file+= 100; // Für den Fall, dass fit nicht ausreichend, soll trotzdem das Ergebnis mit "-10x.y" abgespeichert werden.
  658. string zw = "Value Rejected due to Threshold (Fit: " + to_string(_fit) + "Threshold: " + to_string(CNNGoodThreshold);
  659. printf("Value Rejected due to Threshold (Fit: %f, Threshold: %f\n", _fit, CNNGoodThreshold);
  660. LogFile.WriteToFile(zw);
  661. }
  662. else
  663. {
  664. GENERAL[_ana]->ROI[i]->isReject = false;
  665. }
  666. GENERAL[_ana]->ROI[i]->result_float = result;
  667. printf("Result General(Analog)%i: %f\n", i, GENERAL[_ana]->ROI[i]->result_float);
  668. if (isLogImage)
  669. {
  670. string _imagename = GENERAL[_ana]->name + "_" + GENERAL[_ana]->ROI[i]->name;
  671. if (isLogImageSelect)
  672. {
  673. if (LogImageSelect.find(GENERAL[_ana]->ROI[i]->name) != std::string::npos)
  674. LogImage(logPath, _imagename, &_result_save_file, NULL, time, GENERAL[_ana]->ROI[i]->image_org);
  675. }
  676. else
  677. {
  678. LogImage(logPath, _imagename, &_result_save_file, NULL, time, GENERAL[_ana]->ROI[i]->image_org);
  679. }
  680. }
  681. }
  682. break;
  683. case Digital100:
  684. case Analogue100:
  685. {
  686. int _num;
  687. float _result_save_file;
  688. tflite->LoadInputImageBasis(GENERAL[_ana]->ROI[i]->image);
  689. tflite->Invoke();
  690. _num = tflite->GetOutClassification();
  691. GENERAL[_ana]->ROI[i]->result_float = (float)_num / 10.0;
  692. _result_save_file = GENERAL[_ana]->ROI[i]->result_float;
  693. GENERAL[_ana]->ROI[i]->isReject = false;
  694. printf("Result General(Analog)%i: %f\n", i, GENERAL[_ana]->ROI[i]->result_float);
  695. if (isLogImage)
  696. {
  697. string _imagename = GENERAL[_ana]->name + "_" + GENERAL[_ana]->ROI[i]->name;
  698. if (isLogImageSelect)
  699. {
  700. if (LogImageSelect.find(GENERAL[_ana]->ROI[i]->name) != std::string::npos)
  701. LogImage(logPath, _imagename, &_result_save_file, NULL, time, GENERAL[_ana]->ROI[i]->image_org);
  702. }
  703. else
  704. {
  705. LogImage(logPath, _imagename, &_result_save_file, NULL, time, GENERAL[_ana]->ROI[i]->image_org);
  706. }
  707. }
  708. } break;
  709. default:
  710. break;
  711. }
  712. }
  713. }
  714. delete tflite;
  715. return true;
  716. }
  717. bool ClassFlowCNNGeneral::isExtendedResolution(int _number)
  718. {
  719. if (!(CNNType == Digital))
  720. return true;
  721. return false;
  722. }
  723. std::vector<HTMLInfo*> ClassFlowCNNGeneral::GetHTMLInfo()
  724. {
  725. std::vector<HTMLInfo*> result;
  726. for (int _ana = 0; _ana < GENERAL.size(); ++_ana)
  727. for (int i = 0; i < GENERAL[_ana]->ROI.size(); ++i)
  728. {
  729. printf("Image: %d\n", (int) GENERAL[_ana]->ROI[i]->image);
  730. if (GENERAL[_ana]->ROI[i]->image)
  731. {
  732. if (GENERAL[_ana]->name == "default")
  733. GENERAL[_ana]->ROI[i]->image->SaveToFile(FormatFileName("/sdcard/img_tmp/" + GENERAL[_ana]->ROI[i]->name + ".bmp"));
  734. else
  735. GENERAL[_ana]->ROI[i]->image->SaveToFile(FormatFileName("/sdcard/img_tmp/" + GENERAL[_ana]->name + "_" + GENERAL[_ana]->ROI[i]->name + ".bmp"));
  736. }
  737. HTMLInfo *zw = new HTMLInfo;
  738. if (GENERAL[_ana]->name == "default")
  739. {
  740. zw->filename = GENERAL[_ana]->ROI[i]->name + ".bmp";
  741. zw->filename_org = GENERAL[_ana]->ROI[i]->name + ".jpg";
  742. }
  743. else
  744. {
  745. zw->filename = GENERAL[_ana]->name + "_" + GENERAL[_ana]->ROI[i]->name + ".bmp";
  746. zw->filename_org = GENERAL[_ana]->name + "_" + GENERAL[_ana]->ROI[i]->name + ".jpg";
  747. }
  748. if (CNNType == Digital)
  749. zw->val = GENERAL[_ana]->ROI[i]->result_klasse;
  750. else
  751. zw->val = GENERAL[_ana]->ROI[i]->result_float;
  752. zw->image = GENERAL[_ana]->ROI[i]->image;
  753. zw->image_org = GENERAL[_ana]->ROI[i]->image_org;
  754. result.push_back(zw);
  755. }
  756. return result;
  757. }
  758. int ClassFlowCNNGeneral::getAnzahlGENERAL()
  759. {
  760. return GENERAL.size();
  761. }
  762. string ClassFlowCNNGeneral::getNameGENERAL(int _analog)
  763. {
  764. if (_analog < GENERAL.size())
  765. return GENERAL[_analog]->name;
  766. return "GENERAL DOES NOT EXIST";
  767. }
  768. general* ClassFlowCNNGeneral::GetGENERAL(int _analog)
  769. {
  770. if (_analog < GENERAL.size())
  771. return GENERAL[_analog];
  772. return NULL;
  773. }
  774. void ClassFlowCNNGeneral::UpdateNameNumbers(std::vector<std::string> *_name_numbers)
  775. {
  776. for (int _dig = 0; _dig < GENERAL.size(); _dig++)
  777. {
  778. std::string _name = GENERAL[_dig]->name;
  779. bool found = false;
  780. for (int i = 0; i < (*_name_numbers).size(); ++i)
  781. {
  782. if ((*_name_numbers)[i] == _name)
  783. found = true;
  784. }
  785. if (!found)
  786. (*_name_numbers).push_back(_name);
  787. }
  788. }