ClassFlowCNNGeneral.cpp 40 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. #include "esp_log.h"
  9. #include "../../include/defines.h"
  10. static const char* TAG = "CNN";
  11. //#ifdef CONFIG_HEAP_TRACING_STANDALONE
  12. #ifdef HEAP_TRACING_CLASS_FLOW_CNN_GENERAL_DO_ALING_AND_CUT
  13. #include <esp_heap_trace.h>
  14. #define NUM_RECORDS 300
  15. static heap_trace_record_t trace_record[NUM_RECORDS]; // This buffer must be in internal RAM
  16. #endif
  17. ClassFlowCNNGeneral::ClassFlowCNNGeneral(ClassFlowAlignment *_flowalign, t_CNNType _cnntype) : ClassFlowImage(NULL, TAG)
  18. {
  19. string cnnmodelfile = "";
  20. modelxsize = 1;
  21. modelysize = 1;
  22. CNNGoodThreshold = 0.0;
  23. ListFlowControll = NULL;
  24. previousElement = NULL;
  25. SaveAllFiles = false;
  26. disabled = false;
  27. isLogImageSelect = false;
  28. CNNType = AutoDetect;
  29. CNNType = _cnntype;
  30. flowpostalignment = _flowalign;
  31. imagesRetention = 5;
  32. }
  33. string ClassFlowCNNGeneral::getReadout(int _analog = 0, bool _extendedResolution, int prev, float _before_narrow_Analog, float analogDigitalTransitionStart)
  34. {
  35. string result = "";
  36. if (GENERAL[_analog]->ROI.size() == 0)
  37. return result;
  38. LogFile.WriteToFile(ESP_LOG_DEBUG, TAG, "getReadout _analog=" + std::to_string(_analog) + ", _extendedResolution=" + std::to_string(_extendedResolution) + ", prev=" + std::to_string(prev));
  39. if (CNNType == Analogue || CNNType == Analogue100)
  40. {
  41. float number = GENERAL[_analog]->ROI[GENERAL[_analog]->ROI.size() - 1]->result_float;
  42. int result_after_decimal_point = ((int) floor(number * 10) + 10) % 10;
  43. prev = PointerEvalAnalogNew(GENERAL[_analog]->ROI[GENERAL[_analog]->ROI.size() - 1]->result_float, prev);
  44. // LogFile.WriteToFile(ESP_LOG_DEBUG, TAG, "getReadout(analog) number=" + std::to_string(number) + ", result_after_decimal_point=" + std::to_string(result_after_decimal_point) + ", prev=" + std::to_string(prev));
  45. result = std::to_string(prev);
  46. if (_extendedResolution && (CNNType != Digital))
  47. result = result + std::to_string(result_after_decimal_point);
  48. for (int i = GENERAL[_analog]->ROI.size() - 2; i >= 0; --i)
  49. {
  50. prev = PointerEvalAnalogNew(GENERAL[_analog]->ROI[i]->result_float, prev);
  51. result = std::to_string(prev) + result;
  52. }
  53. return result;
  54. }
  55. if (CNNType == Digital)
  56. {
  57. for (int i = 0; i < GENERAL[_analog]->ROI.size(); ++i)
  58. {
  59. if (GENERAL[_analog]->ROI[i]->result_klasse >= 10)
  60. result = result + "N";
  61. else
  62. result = result + std::to_string(GENERAL[_analog]->ROI[i]->result_klasse);
  63. }
  64. return result;
  65. }
  66. if ((CNNType == DoubleHyprid10) || (CNNType == Digital100))
  67. {
  68. float number = GENERAL[_analog]->ROI[GENERAL[_analog]->ROI.size() - 1]->result_float;
  69. if (number >= 0) // NaN?
  70. {
  71. if (_extendedResolution) // is only set if it is the first digit (no analogue before!)
  72. {
  73. int result_after_decimal_point = ((int) floor(number * 10)) % 10;
  74. int result_before_decimal_point = ((int) floor(number)) % 10;
  75. result = std::to_string(result_before_decimal_point) + std::to_string(result_after_decimal_point);
  76. prev = result_before_decimal_point;
  77. LogFile.WriteToFile(ESP_LOG_DEBUG, TAG, "getReadout(dig100-ext) result_before_decimal_point=" + std::to_string(result_before_decimal_point) + ", result_after_decimal_point=" + std::to_string(result_after_decimal_point) + ", prev=" + std::to_string(prev));
  78. }
  79. else
  80. {
  81. if (_before_narrow_Analog >= 0)
  82. prev = PointerEvalHybridNew(GENERAL[_analog]->ROI[GENERAL[_analog]->ROI.size() - 1]->result_float, _before_narrow_Analog, prev, true, analogDigitalTransitionStart);
  83. else
  84. prev = PointerEvalHybridNew(GENERAL[_analog]->ROI[GENERAL[_analog]->ROI.size() - 1]->result_float, prev, prev);
  85. result = std::to_string(prev);
  86. LogFile.WriteToFile(ESP_LOG_DEBUG, TAG, "getReadout(dig100) prev=" + std::to_string(prev));
  87. }
  88. }
  89. else
  90. {
  91. result = "N";
  92. if (_extendedResolution && (CNNType != Digital))
  93. result = "NN";
  94. }
  95. for (int i = GENERAL[_analog]->ROI.size() - 2; i >= 0; --i)
  96. {
  97. if (GENERAL[_analog]->ROI[i]->result_float >= 0)
  98. {
  99. prev = PointerEvalHybridNew(GENERAL[_analog]->ROI[i]->result_float, GENERAL[_analog]->ROI[i+1]->result_float, prev);
  100. LogFile.WriteToFile(ESP_LOG_DEBUG, TAG, "getReadout#PointerEvalHybridNew()= " + std::to_string(prev));
  101. result = std::to_string(prev) + result;
  102. LogFile.WriteToFile(ESP_LOG_DEBUG, TAG, "getReadout#result= " + result);
  103. }
  104. else
  105. {
  106. prev = -1;
  107. result = "N" + result;
  108. LogFile.WriteToFile(ESP_LOG_DEBUG, TAG, "getReadout(result_float<0 /'N') result_float=" + std::to_string(GENERAL[_analog]->ROI[i]->result_float));
  109. }
  110. }
  111. return result;
  112. }
  113. return result;
  114. }
  115. int ClassFlowCNNGeneral::PointerEvalHybridNew(float number, float number_of_predecessors, int eval_predecessors, bool Analog_Predecessors, float digitalAnalogTransitionStart)
  116. {
  117. int result;
  118. int result_after_decimal_point = ((int) floor(number * 10)) % 10;
  119. int result_before_decimal_point = ((int) floor(number) + 10) % 10;
  120. if (eval_predecessors < 0)
  121. {
  122. if ((result_after_decimal_point <= Digital_Uncertainty * 10) || (result_after_decimal_point >= Digital_Uncertainty * 10)) // Band around the digit --> Rounding, as digit reaches inaccuracy in the frame
  123. result = (int) (round(number) + 10) % 10;
  124. else
  125. result = (int) ((int) trunc(number) + 10) % 10;
  126. LogFile.WriteToFile(ESP_LOG_DEBUG, TAG, "PointerEvalHybridNew - No predecessor - Result = " + std::to_string(result) +
  127. " number: " + std::to_string(number) + " number_of_predecessors = " + std::to_string(number_of_predecessors)+ " eval_predecessors = " + std::to_string(eval_predecessors) + " Digital_Uncertainty = " + std::to_string(Digital_Uncertainty));
  128. return result;
  129. }
  130. if (Analog_Predecessors)
  131. {
  132. result = PointerEvalAnalogToDigitNew(number, number_of_predecessors, eval_predecessors, digitalAnalogTransitionStart);
  133. LogFile.WriteToFile(ESP_LOG_DEBUG, TAG, "PointerEvalHybridNew - Analog predecessor, evaluation over PointerEvalAnalogNew = " + std::to_string(result) +
  134. " number: " + std::to_string(number) + " number_of_predecessors = " + std::to_string(number_of_predecessors)+ " eval_predecessors = " + std::to_string(eval_predecessors) + " Digital_Uncertainty = " + std::to_string(Digital_Uncertainty));
  135. return result;
  136. }
  137. if ((number_of_predecessors >= Digital_Transition_Area_Predecessor ) && (number_of_predecessors <= (10.0 - Digital_Transition_Area_Predecessor)))
  138. {
  139. // no digit change, because predecessor is far enough away (0+/-DigitalTransitionRangePredecessor) --> number is rounded
  140. if ((result_after_decimal_point <= DigitalBand) || (result_after_decimal_point >= (10-DigitalBand))) // Band around the digit --> Round off, as digit reaches inaccuracy in the frame
  141. result = ((int) round(number) + 10) % 10;
  142. else
  143. result = ((int) trunc(number) + 10) % 10;
  144. LogFile.WriteToFile(ESP_LOG_DEBUG, TAG, "PointerEvalHybridNew - NO analogue predecessor, no change of digits, as pre-decimal point far enough away = " + std::to_string(result) +
  145. " number: " + std::to_string(number) + " number_of_predecessors = " + std::to_string(number_of_predecessors)+ " eval_predecessors = " + std::to_string(eval_predecessors) + " Digital_Uncertainty = " + std::to_string(Digital_Uncertainty));
  146. return result;
  147. }
  148. if (eval_predecessors <= 1) // Zero crossing at the predecessor has taken place (! evaluation via Prev_value and not number!) --> round up here (2.8 --> 3, but also 3.1 --> 3)
  149. {
  150. // We simply assume that the current digit after the zero crossing of the predecessor
  151. // has passed through at least half (x.5)
  152. if (result_after_decimal_point > 5)
  153. // The current digit does not yet have a zero crossing, but the predecessor does..
  154. result = (result_before_decimal_point + 1) % 10;
  155. else
  156. // Act. digit and predecessor have zero crossing
  157. result = result_before_decimal_point % 10;
  158. LogFile.WriteToFile(ESP_LOG_DEBUG, TAG, "PointerEvalHybridNew - NO analogue predecessor, zero crossing has taken placen = " + std::to_string(result) +
  159. " number: " + std::to_string(number) + " number_of_predecessors = " + std::to_string(number_of_predecessors)+ " eval_predecessors = " + std::to_string(eval_predecessors) + " Digital_Uncertainty = " + std::to_string(Digital_Uncertainty));
  160. return result;
  161. }
  162. // remains only >= 9.x --> no zero crossing yet --> 2.8 --> 2,
  163. // and from 9.7(DigitalTransitionRangeLead) 3.1 --> 2
  164. // everything >=x.4 can be considered as current number in transition. With 9.x predecessor the current
  165. // number can still be x.6 - x.7.
  166. // Preceding (else - branch) does not already happen from 9.
  167. if (Digital_Transition_Area_Forward>=number_of_predecessors || result_after_decimal_point >= 4)
  168. // The current digit, like the previous digit, does not yet have a zero crossing.
  169. result = result_before_decimal_point % 10;
  170. else
  171. // current digit precedes the smaller digit (9.x). So already >=x.0 while the previous digit has not yet
  172. // has no zero crossing. Therefore, it is reduced by 1.
  173. result = (result_before_decimal_point - 1 + 10) % 10;
  174. LogFile.WriteToFile(ESP_LOG_DEBUG, TAG, "PointerEvalHybridNew - O analogue predecessor, >= 9.5 --> no zero crossing yet = " + std::to_string(result) +
  175. " number: " + std::to_string(number) + " number_of_predecessors = " + std::to_string(number_of_predecessors)+ " eval_predecessors = " + std::to_string(eval_predecessors) + " Digital_Uncertainty = " + std::to_string(Digital_Uncertainty) + " result_after_decimal_point = " + std::to_string(result_after_decimal_point));
  176. return result;
  177. }
  178. int ClassFlowCNNGeneral::PointerEvalAnalogToDigitNew(float number, float numeral_preceder, int eval_predecessors, float analogDigitalTransitionStart)
  179. {
  180. int result;
  181. int result_after_decimal_point = ((int) floor(number * 10)) % 10;
  182. int result_before_decimal_point = ((int) floor(number) + 10) % 10;
  183. bool roundedUp = false;
  184. // Within the digital inequalities
  185. if ((result_after_decimal_point >= (10-Digital_Uncertainty * 10)) // Band around the digit --> Round off, as digit reaches inaccuracy in the frame
  186. || (eval_predecessors <= 4 && result_after_decimal_point>=6)) { // or digit runs after (analogue =0..4, digit >=6)
  187. result = (int) (round(number) + 10) % 10;
  188. roundedUp = true;
  189. // before/ after decimal point, because we adjust the number based on the uncertainty.
  190. result_after_decimal_point = ((int) floor(result * 10)) % 10;
  191. result_before_decimal_point = ((int) floor(result) + 10) % 10;
  192. LogFile.WriteToFile(ESP_LOG_DEBUG, TAG, "PointerEvalAnalogToDigitNew - Digital Uncertainty - Result = " + std::to_string(result) +
  193. " number: " + std::to_string(number) + " numeral_preceder: " + std::to_string(numeral_preceder) +
  194. " erg before comma: " + std::to_string(result_before_decimal_point) +
  195. " erg after comma: " + std::to_string(result_after_decimal_point));
  196. } else {
  197. result = (int) ((int) trunc(number) + 10) % 10;
  198. LogFile.WriteToFile(ESP_LOG_DEBUG, TAG, "PointerEvalAnalogToDigitNew - NO digital Uncertainty - Result = " + std::to_string(result) +
  199. " number: " + std::to_string(number) + " numeral_preceder = " + std::to_string(numeral_preceder));
  200. }
  201. // No zero crossing has taken place.
  202. // Only eval_predecessors used because numeral_preceder could be wrong here.
  203. // numeral_preceder<=0.1 & eval_predecessors=9 corresponds to analogue was reset because of previous analogue that are not yet at 0.
  204. if ((eval_predecessors>=6 && (numeral_preceder>analogDigitalTransitionStart || numeral_preceder<=0.2) && roundedUp))
  205. {
  206. result = ((result_before_decimal_point+10) - 1) % 10;
  207. LogFile.WriteToFile(ESP_LOG_DEBUG, TAG, "PointerEvalAnalogToDigitNew - Nulldurchgang noch nicht stattgefunden = " + std::to_string(result) +
  208. " number: " + std::to_string(number) +
  209. " numeral_preceder = " + std::to_string(numeral_preceder) +
  210. " eerg after comma = " + std::to_string(result_after_decimal_point));
  211. }
  212. return result;
  213. }
  214. int ClassFlowCNNGeneral::PointerEvalAnalogNew(float number, int numeral_preceder)
  215. {
  216. float number_min, number_max;
  217. int result;
  218. if (numeral_preceder == -1)
  219. {
  220. result = (int) floor(number);
  221. LogFile.WriteToFile(ESP_LOG_DEBUG, TAG, "PointerEvalAnalogNew - No predecessor - Result = " + std::to_string(result) +
  222. " number: " + std::to_string(number) + " numeral_preceder = " + std::to_string(numeral_preceder) + " Analog_error = " + std::to_string(Analog_error));
  223. return result;
  224. }
  225. number_min = number - Analog_error / 10.0;
  226. number_max = number + Analog_error / 10.0;
  227. if ((int) floor(number_max) - (int) floor(number_min) != 0)
  228. {
  229. if (numeral_preceder <= Analog_error)
  230. {
  231. result = ((int) floor(number_max) + 10) % 10;
  232. LogFile.WriteToFile(ESP_LOG_DEBUG, TAG, "PointerEvalAnalogNew - number ambiguous, correction upwards - result = " + std::to_string(result) +
  233. " number: " + std::to_string(number) + " numeral_preceder = " + std::to_string(numeral_preceder) + " Analog_error = " + std::to_string(Analog_error));
  234. return result;
  235. }
  236. if (numeral_preceder >= 10 - Analog_error)
  237. {
  238. result = ((int) floor(number_min) + 10) % 10;
  239. LogFile.WriteToFile(ESP_LOG_DEBUG, TAG, "PointerEvalAnalogNew - number ambiguous, downward correction - result = " + std::to_string(result) +
  240. " number: " + std::to_string(number) + " numeral_preceder = " + std::to_string(numeral_preceder) + " Analog_error = " + std::to_string(Analog_error));
  241. return result;
  242. }
  243. }
  244. result = ((int) floor(number) + 10) % 10;
  245. LogFile.WriteToFile(ESP_LOG_DEBUG, TAG, "PointerEvalAnalogNew - number unambiguous, no correction necessary - result = " + std::to_string(result) +
  246. " number: " + std::to_string(number) + " numeral_preceder = " + std::to_string(numeral_preceder) + " Analog_error = " + std::to_string(Analog_error));
  247. return result;
  248. }
  249. bool ClassFlowCNNGeneral::ReadParameter(FILE* pfile, string& aktparamgraph)
  250. {
  251. std::vector<string> splitted;
  252. aktparamgraph = trim(aktparamgraph);
  253. if (aktparamgraph.size() == 0)
  254. if (!this->GetNextParagraph(pfile, aktparamgraph))
  255. return false;
  256. if ((toUpper(aktparamgraph) != "[ANALOG]") && (toUpper(aktparamgraph) != ";[ANALOG]")
  257. && (toUpper(aktparamgraph) != "[DIGIT]") && (toUpper(aktparamgraph) != ";[DIGIT]")
  258. && (toUpper(aktparamgraph) != "[DIGITS]") && (toUpper(aktparamgraph) != ";[DIGITS]")
  259. ) // Paragraph passt nicht
  260. return false;
  261. if (aktparamgraph[0] == ';')
  262. {
  263. disabled = true;
  264. while (getNextLine(pfile, &aktparamgraph) && !isNewParagraph(aktparamgraph));
  265. ESP_LOGD(TAG, "[Analog/Digit] is disabled!");
  266. return true;
  267. }
  268. while (this->getNextLine(pfile, &aktparamgraph) && !this->isNewParagraph(aktparamgraph))
  269. {
  270. splitted = ZerlegeZeile(aktparamgraph);
  271. if ((toUpper(splitted[0]) == "ROIIMAGESLOCATION") && (splitted.size() > 1))
  272. {
  273. this->imagesLocation = "/sdcard" + splitted[1];
  274. this->isLogImage = true;
  275. }
  276. if ((toUpper(splitted[0]) == "LOGIMAGESELECT") && (splitted.size() > 1))
  277. {
  278. LogImageSelect = splitted[1];
  279. isLogImageSelect = true;
  280. }
  281. if ((toUpper(splitted[0]) == "ROIIMAGESRETENTION") && (splitted.size() > 1))
  282. {
  283. this->imagesRetention = std::stoi(splitted[1]);
  284. }
  285. if ((toUpper(splitted[0]) == "MODEL") && (splitted.size() > 1))
  286. {
  287. this->cnnmodelfile = splitted[1];
  288. }
  289. if ((toUpper(splitted[0]) == "CNNGOODTHRESHOLD") && (splitted.size() > 1))
  290. {
  291. CNNGoodThreshold = std::stof(splitted[1]);
  292. }
  293. if (splitted.size() >= 5)
  294. {
  295. general* _analog = GetGENERAL(splitted[0], true);
  296. roi* neuroi = _analog->ROI[_analog->ROI.size()-1];
  297. neuroi->posx = std::stoi(splitted[1]);
  298. neuroi->posy = std::stoi(splitted[2]);
  299. neuroi->deltax = std::stoi(splitted[3]);
  300. neuroi->deltay = std::stoi(splitted[4]);
  301. neuroi->CCW = false;
  302. if (splitted.size() >= 6)
  303. {
  304. neuroi->CCW = toUpper(splitted[5]) == "TRUE";
  305. }
  306. neuroi->result_float = -1;
  307. neuroi->image = NULL;
  308. neuroi->image_org = NULL;
  309. }
  310. if ((toUpper(splitted[0]) == "SAVEALLFILES") && (splitted.size() > 1))
  311. {
  312. if (toUpper(splitted[1]) == "TRUE")
  313. SaveAllFiles = true;
  314. }
  315. }
  316. if (!getNetworkParameter())
  317. return false;
  318. for (int _ana = 0; _ana < GENERAL.size(); ++_ana)
  319. for (int i = 0; i < GENERAL[_ana]->ROI.size(); ++i)
  320. {
  321. GENERAL[_ana]->ROI[i]->image = new CImageBasis(modelxsize, modelysize, modelchannel);
  322. GENERAL[_ana]->ROI[i]->image_org = new CImageBasis(GENERAL[_ana]->ROI[i]->deltax, GENERAL[_ana]->ROI[i]->deltay, 3);
  323. }
  324. return true;
  325. }
  326. general* ClassFlowCNNGeneral::FindGENERAL(string _name_number)
  327. {
  328. for (int i = 0; i < GENERAL.size(); ++i)
  329. if (GENERAL[i]->name == _name_number)
  330. return GENERAL[i];
  331. return NULL;
  332. }
  333. general* ClassFlowCNNGeneral::GetGENERAL(string _name, bool _create = true)
  334. {
  335. string _analog, _roi;
  336. int _pospunkt = _name.find_first_of(".");
  337. if (_pospunkt > -1)
  338. {
  339. _analog = _name.substr(0, _pospunkt);
  340. _roi = _name.substr(_pospunkt+1, _name.length() - _pospunkt - 1);
  341. }
  342. else
  343. {
  344. _analog = "default";
  345. _roi = _name;
  346. }
  347. general *_ret = NULL;
  348. for (int i = 0; i < GENERAL.size(); ++i)
  349. if (GENERAL[i]->name == _analog)
  350. _ret = GENERAL[i];
  351. if (!_create) // not found and should not be created
  352. return _ret;
  353. if (_ret == NULL)
  354. {
  355. _ret = new general;
  356. _ret->name = _analog;
  357. GENERAL.push_back(_ret);
  358. }
  359. roi* neuroi = new roi;
  360. neuroi->name = _roi;
  361. _ret->ROI.push_back(neuroi);
  362. ESP_LOGD(TAG, "GetGENERAL - GENERAL %s - roi %s - CCW: %d", _analog.c_str(), _roi.c_str(), neuroi->CCW);
  363. return _ret;
  364. }
  365. string ClassFlowCNNGeneral::getHTMLSingleStep(string host)
  366. {
  367. string result, zw;
  368. std::vector<HTMLInfo*> htmlinfo;
  369. result = "<p>Found ROIs: </p> <p><img src=\"" + host + "/img_tmp/alg_roi.jpg\"></p>\n";
  370. result = result + "Analog Pointers: <p> ";
  371. htmlinfo = GetHTMLInfo();
  372. for (int i = 0; i < htmlinfo.size(); ++i)
  373. {
  374. std::stringstream stream;
  375. stream << std::fixed << std::setprecision(1) << htmlinfo[i]->val;
  376. zw = stream.str();
  377. result = result + "<img src=\"" + host + "/img_tmp/" + htmlinfo[i]->filename + "\"> " + zw;
  378. delete htmlinfo[i];
  379. }
  380. htmlinfo.clear();
  381. return result;
  382. }
  383. bool ClassFlowCNNGeneral::doFlow(string time)
  384. {
  385. #ifdef HEAP_TRACING_CLASS_FLOW_CNN_GENERAL_DO_ALING_AND_CUT
  386. //register a buffer to record the memory trace
  387. ESP_ERROR_CHECK( heap_trace_init_standalone(trace_record, NUM_RECORDS) );
  388. // start tracing
  389. ESP_ERROR_CHECK( heap_trace_start(HEAP_TRACE_LEAKS) );
  390. #endif
  391. if (disabled)
  392. return true;
  393. if (!doAlignAndCut(time)){
  394. return false;
  395. };
  396. LogFile.WriteToFile(ESP_LOG_DEBUG, TAG, "doFlow after alignment");
  397. doNeuralNetwork(time);
  398. RemoveOldLogs();
  399. #ifdef HEAP_TRACING_CLASS_FLOW_CNN_GENERAL_DO_ALING_AND_CUT
  400. ESP_ERROR_CHECK( heap_trace_stop() );
  401. heap_trace_dump();
  402. #endif
  403. return true;
  404. }
  405. bool ClassFlowCNNGeneral::doAlignAndCut(string time)
  406. {
  407. if (disabled)
  408. return true;
  409. CAlignAndCutImage *caic = flowpostalignment->GetAlignAndCutImage();
  410. for (int _ana = 0; _ana < GENERAL.size(); ++_ana)
  411. for (int i = 0; i < GENERAL[_ana]->ROI.size(); ++i)
  412. {
  413. ESP_LOGD(TAG, "General %d - Align&Cut", i);
  414. 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);
  415. if (SaveAllFiles)
  416. {
  417. if (GENERAL[_ana]->name == "default")
  418. GENERAL[_ana]->ROI[i]->image_org->SaveToFile(FormatFileName("/sdcard/img_tmp/" + GENERAL[_ana]->ROI[i]->name + ".jpg"));
  419. else
  420. GENERAL[_ana]->ROI[i]->image_org->SaveToFile(FormatFileName("/sdcard/img_tmp/" + GENERAL[_ana]->name + "_" + GENERAL[_ana]->ROI[i]->name + ".jpg"));
  421. }
  422. GENERAL[_ana]->ROI[i]->image_org->Resize(modelxsize, modelysize, GENERAL[_ana]->ROI[i]->image);
  423. if (SaveAllFiles)
  424. {
  425. if (GENERAL[_ana]->name == "default")
  426. GENERAL[_ana]->ROI[i]->image->SaveToFile(FormatFileName("/sdcard/img_tmp/" + GENERAL[_ana]->ROI[i]->name + ".jpg"));
  427. else
  428. GENERAL[_ana]->ROI[i]->image->SaveToFile(FormatFileName("/sdcard/img_tmp/" + GENERAL[_ana]->name + "_" + GENERAL[_ana]->ROI[i]->name + ".jpg"));
  429. }
  430. }
  431. return true;
  432. }
  433. void ClassFlowCNNGeneral::DrawROI(CImageBasis *_zw)
  434. {
  435. if (_zw->ImageOkay())
  436. {
  437. if (CNNType == Analogue || CNNType == Analogue100)
  438. {
  439. int r = 0;
  440. int g = 255;
  441. int b = 0;
  442. for (int _ana = 0; _ana < GENERAL.size(); ++_ana)
  443. for (int i = 0; i < GENERAL[_ana]->ROI.size(); ++i)
  444. {
  445. _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);
  446. _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);
  447. _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);
  448. _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);
  449. }
  450. }
  451. else
  452. {
  453. for (int _dig = 0; _dig < GENERAL.size(); ++_dig)
  454. for (int i = 0; i < GENERAL[_dig]->ROI.size(); ++i)
  455. _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);
  456. }
  457. }
  458. }
  459. bool ClassFlowCNNGeneral::getNetworkParameter()
  460. {
  461. if (disabled)
  462. return true;
  463. CTfLiteClass *tflite = new CTfLiteClass;
  464. string zwcnn = "/sdcard" + cnnmodelfile;
  465. zwcnn = FormatFileName(zwcnn);
  466. ESP_LOGD(TAG, "%s", zwcnn.c_str());
  467. if (!tflite->LoadModel(zwcnn)) {
  468. LogFile.WriteToFile(ESP_LOG_ERROR, TAG, "Can't load tflite model " + cnnmodelfile + " -> Init aborted!");
  469. LogFile.WriteHeapInfo("getNetworkParameter-LoadModel");
  470. delete tflite;
  471. return false;
  472. }
  473. if (!tflite->MakeAllocate()) {
  474. LogFile.WriteToFile(ESP_LOG_ERROR, TAG, "Can't allocate tflite model -> Init aborted!");
  475. LogFile.WriteHeapInfo("getNetworkParameter-MakeAllocate");
  476. delete tflite;
  477. return false;
  478. }
  479. if (CNNType == AutoDetect)
  480. {
  481. tflite->GetInputDimension(false);
  482. modelxsize = tflite->ReadInputDimenstion(0);
  483. modelysize = tflite->ReadInputDimenstion(1);
  484. modelchannel = tflite->ReadInputDimenstion(2);
  485. int _anzoutputdimensions = tflite->GetAnzOutPut();
  486. switch (_anzoutputdimensions)
  487. {
  488. case 2:
  489. CNNType = Analogue;
  490. ESP_LOGD(TAG, "TFlite-Type set to Analogue");
  491. break;
  492. case 10:
  493. CNNType = DoubleHyprid10;
  494. ESP_LOGD(TAG, "TFlite-Type set to DoubleHyprid10");
  495. break;
  496. case 11:
  497. CNNType = Digital;
  498. ESP_LOGD(TAG, "TFlite-Type set to Digital");
  499. break;
  500. /* case 20:
  501. CNNType = DigitalHyprid10;
  502. ESP_LOGD(TAG, "TFlite-Type set to DigitalHyprid10");
  503. break;
  504. */
  505. // case 22:
  506. // CNNType = DigitalHyprid;
  507. // ESP_LOGD(TAG, "TFlite-Type set to DigitalHyprid");
  508. // break;
  509. case 100:
  510. if (modelxsize==32 && modelysize == 32) {
  511. CNNType = Analogue100;
  512. ESP_LOGD(TAG, "TFlite-Type set to Analogue100");
  513. } else {
  514. CNNType = Digital100;
  515. ESP_LOGD(TAG, "TFlite-Type set to Digital");
  516. }
  517. break;
  518. default:
  519. LogFile.WriteToFile(ESP_LOG_ERROR, TAG, "tflite does not fit the firmware (outout_dimension=" + std::to_string(_anzoutputdimensions) + ")");
  520. }
  521. }
  522. delete tflite;
  523. return true;
  524. }
  525. bool ClassFlowCNNGeneral::doNeuralNetwork(string time)
  526. {
  527. if (disabled)
  528. return true;
  529. string logPath = CreateLogFolder(time);
  530. CTfLiteClass *tflite = new CTfLiteClass;
  531. string zwcnn = "/sdcard" + cnnmodelfile;
  532. zwcnn = FormatFileName(zwcnn);
  533. ESP_LOGD(TAG, "%s", zwcnn.c_str());
  534. if (!tflite->LoadModel(zwcnn)) {
  535. LogFile.WriteToFile(ESP_LOG_ERROR, TAG, "Can't load tflite model " + cnnmodelfile + " -> Exec aborted this round!");
  536. LogFile.WriteHeapInfo("doNeuralNetwork-LoadModel");
  537. delete tflite;
  538. return false;
  539. }
  540. if (!tflite->MakeAllocate()) {
  541. LogFile.WriteToFile(ESP_LOG_ERROR, TAG, "Can't allocate tfilte model -> Exec aborted this round!");
  542. LogFile.WriteHeapInfo("doNeuralNetwork-MakeAllocate");
  543. delete tflite;
  544. return false;
  545. }
  546. for (int n = 0; n < GENERAL.size(); ++n) // For each NUMBER
  547. {
  548. LogFile.WriteToFile(ESP_LOG_DEBUG, TAG, "Processing Number '" + GENERAL[n]->name + "'");
  549. for (int roi = 0; roi < GENERAL[n]->ROI.size(); ++roi) // For each ROI
  550. {
  551. LogFile.WriteToFile(ESP_LOG_DEBUG, TAG, "ROI #" + std::to_string(roi) + " - TfLite");
  552. //ESP_LOGD(TAG, "General %d - TfLite", i);
  553. switch (CNNType) {
  554. case Analogue:
  555. LogFile.WriteToFile(ESP_LOG_DEBUG, TAG, "CNN Type: Analogue");
  556. {
  557. float f1, f2;
  558. f1 = 0; f2 = 0;
  559. tflite->LoadInputImageBasis(GENERAL[n]->ROI[roi]->image);
  560. tflite->Invoke();
  561. LogFile.WriteToFile(ESP_LOG_DEBUG, TAG, "After Invoke");
  562. f1 = tflite->GetOutputValue(0);
  563. f2 = tflite->GetOutputValue(1);
  564. float result = fmod(atan2(f1, f2) / (M_PI * 2) + 2, 1);
  565. if(GENERAL[n]->ROI[roi]->CCW)
  566. GENERAL[n]->ROI[roi]->result_float = 10 - (result * 10);
  567. else
  568. GENERAL[n]->ROI[roi]->result_float = result * 10;
  569. ESP_LOGD(TAG, "General result (Analog)%i - CCW: %d - %f", roi, GENERAL[n]->ROI[roi]->CCW, GENERAL[n]->ROI[roi]->result_float);
  570. if (isLogImage)
  571. LogImage(logPath, GENERAL[n]->ROI[roi]->name, &GENERAL[n]->ROI[roi]->result_float, NULL, time, GENERAL[n]->ROI[roi]->image_org);
  572. } break;
  573. case Digital:
  574. LogFile.WriteToFile(ESP_LOG_DEBUG, TAG, "CNN Type: Digital");
  575. {
  576. GENERAL[n]->ROI[roi]->result_klasse = 0;
  577. GENERAL[n]->ROI[roi]->result_klasse = tflite->GetClassFromImageBasis(GENERAL[n]->ROI[roi]->image);
  578. ESP_LOGD(TAG, "General result (Digit)%i: %d", roi, GENERAL[n]->ROI[roi]->result_klasse);
  579. if (isLogImage)
  580. {
  581. string _imagename = GENERAL[n]->name + "_" + GENERAL[n]->ROI[roi]->name;
  582. if (isLogImageSelect)
  583. {
  584. if (LogImageSelect.find(GENERAL[n]->ROI[roi]->name) != std::string::npos)
  585. LogImage(logPath, _imagename, NULL, &GENERAL[n]->ROI[roi]->result_klasse, time, GENERAL[n]->ROI[roi]->image_org);
  586. }
  587. else
  588. {
  589. LogImage(logPath, _imagename, NULL, &GENERAL[n]->ROI[roi]->result_klasse, time, GENERAL[n]->ROI[roi]->image_org);
  590. }
  591. }
  592. } break;
  593. case DoubleHyprid10:
  594. {
  595. LogFile.WriteToFile(ESP_LOG_DEBUG, TAG, "CNN Type: DoubleHyprid10");
  596. int _num, _numplus, _numminus;
  597. float _val, _valplus, _valminus;
  598. float _fit;
  599. float _result_save_file;
  600. tflite->LoadInputImageBasis(GENERAL[n]->ROI[roi]->image);
  601. tflite->Invoke();
  602. LogFile.WriteToFile(ESP_LOG_DEBUG, TAG, "After Invoke");
  603. _num = tflite->GetOutClassification(0, 9);
  604. _numplus = (_num + 1) % 10;
  605. _numminus = (_num - 1 + 10) % 10;
  606. _val = tflite->GetOutputValue(_num);
  607. _valplus = tflite->GetOutputValue(_numplus);
  608. _valminus = tflite->GetOutputValue(_numminus);
  609. float result = _num;
  610. if (_valplus > _valminus)
  611. {
  612. result = result + _valplus / (_valplus + _val);
  613. _fit = _val + _valplus;
  614. }
  615. else
  616. {
  617. result = result - _valminus / (_val + _valminus);
  618. _fit = _val + _valminus;
  619. }
  620. if (result >= 10)
  621. result = result - 10;
  622. if (result < 0)
  623. result = result + 10;
  624. string zw = "_num (p, m): " + to_string(_num) + " " + to_string(_numplus) + " " + to_string(_numminus);
  625. zw = zw + " _val (p, m): " + to_string(_val) + " " + to_string(_valplus) + " " + to_string(_valminus);
  626. zw = zw + " result: " + to_string(result) + " _fit: " + to_string(_fit);
  627. LogFile.WriteToFile(ESP_LOG_DEBUG, TAG, zw);
  628. _result_save_file = result;
  629. if (_fit < CNNGoodThreshold)
  630. {
  631. GENERAL[n]->ROI[roi]->isReject = true;
  632. result = -1;
  633. _result_save_file+= 100; // In case fit is not sufficient, the result should still be saved with "-10x.y".
  634. string zw = "Value Rejected due to Threshold (Fit: " + to_string(_fit) + ", Threshold: " + to_string(CNNGoodThreshold) + ")";
  635. LogFile.WriteToFile(ESP_LOG_WARN, TAG, zw);
  636. }
  637. else
  638. {
  639. GENERAL[n]->ROI[roi]->isReject = false;
  640. }
  641. GENERAL[n]->ROI[roi]->result_float = result;
  642. ESP_LOGD(TAG, "Result General(Analog)%i: %f", roi, GENERAL[n]->ROI[roi]->result_float);
  643. if (isLogImage)
  644. {
  645. string _imagename = GENERAL[n]->name + "_" + GENERAL[n]->ROI[roi]->name;
  646. if (isLogImageSelect)
  647. {
  648. if (LogImageSelect.find(GENERAL[n]->ROI[roi]->name) != std::string::npos)
  649. LogImage(logPath, _imagename, &_result_save_file, NULL, time, GENERAL[n]->ROI[roi]->image_org);
  650. }
  651. else
  652. {
  653. LogImage(logPath, _imagename, &_result_save_file, NULL, time, GENERAL[n]->ROI[roi]->image_org);
  654. }
  655. }
  656. }
  657. break;
  658. case Digital100:
  659. case Analogue100:
  660. {
  661. LogFile.WriteToFile(ESP_LOG_DEBUG, TAG, "CNN Type: Digital100 or Analogue100");
  662. int _num;
  663. float _result_save_file;
  664. tflite->LoadInputImageBasis(GENERAL[n]->ROI[roi]->image);
  665. tflite->Invoke();
  666. _num = tflite->GetOutClassification();
  667. if(GENERAL[n]->ROI[roi]->CCW)
  668. GENERAL[n]->ROI[roi]->result_float = 10 - ((float)_num / 10.0);
  669. else
  670. GENERAL[n]->ROI[roi]->result_float = (float)_num / 10.0;
  671. _result_save_file = GENERAL[n]->ROI[roi]->result_float;
  672. GENERAL[n]->ROI[roi]->isReject = false;
  673. ESP_LOGD(TAG, "Result General(Analog)%i - CCW: %d - %f", roi, GENERAL[n]->ROI[roi]->CCW, GENERAL[n]->ROI[roi]->result_float);
  674. if (isLogImage)
  675. {
  676. string _imagename = GENERAL[n]->name + "_" + GENERAL[n]->ROI[roi]->name;
  677. if (isLogImageSelect)
  678. {
  679. if (LogImageSelect.find(GENERAL[n]->ROI[roi]->name) != std::string::npos)
  680. LogImage(logPath, _imagename, &_result_save_file, NULL, time, GENERAL[n]->ROI[roi]->image_org);
  681. }
  682. else
  683. {
  684. LogImage(logPath, _imagename, &_result_save_file, NULL, time, GENERAL[n]->ROI[roi]->image_org);
  685. }
  686. }
  687. } break;
  688. default:
  689. break;
  690. }
  691. }
  692. }
  693. delete tflite;
  694. return true;
  695. }
  696. bool ClassFlowCNNGeneral::isExtendedResolution(int _number)
  697. {
  698. if (!(CNNType == Digital))
  699. return true;
  700. return false;
  701. }
  702. std::vector<HTMLInfo*> ClassFlowCNNGeneral::GetHTMLInfo()
  703. {
  704. std::vector<HTMLInfo*> result;
  705. for (int _ana = 0; _ana < GENERAL.size(); ++_ana)
  706. for (int i = 0; i < GENERAL[_ana]->ROI.size(); ++i)
  707. {
  708. ESP_LOGD(TAG, "Image: %d", (int) GENERAL[_ana]->ROI[i]->image);
  709. if (GENERAL[_ana]->ROI[i]->image)
  710. {
  711. if (GENERAL[_ana]->name == "default")
  712. GENERAL[_ana]->ROI[i]->image->SaveToFile(FormatFileName("/sdcard/img_tmp/" + GENERAL[_ana]->ROI[i]->name + ".jpg"));
  713. else
  714. GENERAL[_ana]->ROI[i]->image->SaveToFile(FormatFileName("/sdcard/img_tmp/" + GENERAL[_ana]->name + "_" + GENERAL[_ana]->ROI[i]->name + ".jpg"));
  715. }
  716. HTMLInfo *zw = new HTMLInfo;
  717. if (GENERAL[_ana]->name == "default")
  718. {
  719. zw->filename = GENERAL[_ana]->ROI[i]->name + ".jpg";
  720. zw->filename_org = GENERAL[_ana]->ROI[i]->name + ".jpg";
  721. }
  722. else
  723. {
  724. zw->filename = GENERAL[_ana]->name + "_" + GENERAL[_ana]->ROI[i]->name + ".jpg";
  725. zw->filename_org = GENERAL[_ana]->name + "_" + GENERAL[_ana]->ROI[i]->name + ".jpg";
  726. }
  727. if (CNNType == Digital)
  728. zw->val = GENERAL[_ana]->ROI[i]->result_klasse;
  729. else
  730. zw->val = GENERAL[_ana]->ROI[i]->result_float;
  731. zw->image = GENERAL[_ana]->ROI[i]->image;
  732. zw->image_org = GENERAL[_ana]->ROI[i]->image_org;
  733. result.push_back(zw);
  734. }
  735. return result;
  736. }
  737. int ClassFlowCNNGeneral::getNumberGENERAL()
  738. {
  739. return GENERAL.size();
  740. }
  741. string ClassFlowCNNGeneral::getNameGENERAL(int _analog)
  742. {
  743. if (_analog < GENERAL.size())
  744. return GENERAL[_analog]->name;
  745. return "GENERAL DOES NOT EXIST";
  746. }
  747. general* ClassFlowCNNGeneral::GetGENERAL(int _analog)
  748. {
  749. if (_analog < GENERAL.size())
  750. return GENERAL[_analog];
  751. return NULL;
  752. }
  753. void ClassFlowCNNGeneral::UpdateNameNumbers(std::vector<std::string> *_name_numbers)
  754. {
  755. for (int _dig = 0; _dig < GENERAL.size(); _dig++)
  756. {
  757. std::string _name = GENERAL[_dig]->name;
  758. bool found = false;
  759. for (int i = 0; i < (*_name_numbers).size(); ++i)
  760. {
  761. if ((*_name_numbers)[i] == _name)
  762. found = true;
  763. }
  764. if (!found)
  765. (*_name_numbers).push_back(_name);
  766. }
  767. }
  768. string ClassFlowCNNGeneral::getReadoutRawString(int _analog)
  769. {
  770. string rt = "";
  771. if (_analog >= GENERAL.size() || GENERAL[_analog]==NULL || GENERAL[_analog]->ROI.size() == 0)
  772. return rt;
  773. for (int i = 0; i < GENERAL[_analog]->ROI.size(); ++i)
  774. {
  775. if (CNNType == Analogue || CNNType == Analogue100)
  776. {
  777. rt = rt + "," + RundeOutput(GENERAL[_analog]->ROI[i]->result_float, 1);
  778. }
  779. if (CNNType == Digital)
  780. {
  781. if (GENERAL[_analog]->ROI[i]->result_klasse == 10)
  782. rt = rt + ",N";
  783. else
  784. rt = rt + "," + RundeOutput(GENERAL[_analog]->ROI[i]->result_klasse, 0);
  785. }
  786. if ((CNNType == DoubleHyprid10) || (CNNType == Digital100))
  787. {
  788. rt = rt + "," + RundeOutput(GENERAL[_analog]->ROI[i]->result_float, 1);
  789. }
  790. }
  791. return rt;
  792. }