mirror of
https://github.com/jomjol/AI-on-the-edge-device.git
synced 2025-12-08 12:36:52 +03:00
v8.3.0
This commit is contained in:
@@ -6,7 +6,9 @@
|
||||
|
||||
##### 7.1.2 MQTT-Update - (2021-06-17)
|
||||
|
||||
* NEW: 7.1.2: bug fix setting hostname, Flash-LED not off during rebootNEW: 7.1.1: bug fix wlan password with "=" (again)
|
||||
* NEW: 7.1.2: bug fix setting hostname, Flash-LED not off during reboot
|
||||
|
||||
* NEW: 7.1.1: bug fix wlan password with "=" (again)
|
||||
|
||||
* MQTT error message: changes "no error", send retain flag
|
||||
|
||||
|
||||
16
README.md
16
README.md
@@ -47,20 +47,12 @@ In other cases you can contact the developer via email: <img src="https://raw.gi
|
||||
|
||||
|
||||
|
||||
##### Rolling (2021-09-10)
|
||||
##### 8.3.0 - Multi Meter Support (2021-09-12)
|
||||
|
||||
* Upgrade digital CNN to v12.1.0 (added new images)
|
||||
* Internal refactoring (CNN-Handling)
|
||||
* html: confirmation after config update, spelling corrections
|
||||
|
||||
Rolling (2021-08-31)
|
||||
|
||||
* Bug fix
|
||||
|
||||
Rolling (2021-08-30)
|
||||
|
||||
* Dedicated NaN-test case
|
||||
* Based on v8.2.0
|
||||
* Dedicated NaN handling, internal refactoring (CNN-Handling)
|
||||
* HTML: confirmation after config.ini update
|
||||
* Bug fixing
|
||||
|
||||
##### 8.2.0 - Multi Meter Support (2021-08-24)
|
||||
|
||||
|
||||
@@ -76,17 +76,24 @@ string ClassFlowCNNGeneral::getReadout(int _analog = 0)
|
||||
|
||||
if (CNNType == DigitalHyprid)
|
||||
{
|
||||
int ergebnis_nachkomma = -1;
|
||||
int prev = -1;
|
||||
// int ergebnis_nachkomma = -1;
|
||||
int zif_akt = -1;
|
||||
|
||||
float zahl = GENERAL[_analog]->ROI[GENERAL[_analog]->ROI.size() - 1]->result;
|
||||
if (zahl >= 0) // NaN?
|
||||
{
|
||||
ergebnis_nachkomma = ((int) floor(zahl * 10)) % 10;
|
||||
prev = ZeigerEval(GENERAL[_analog]->ROI[GENERAL[_analog]->ROI.size() - 1]->result, prev);
|
||||
result = std::to_string(prev);
|
||||
if (extendedResolution && (CNNType != Digital))
|
||||
result = result + std::to_string(ergebnis_nachkomma);
|
||||
if (extendedResolution)
|
||||
{
|
||||
int ergebnis_nachkomma = ((int) floor(zahl * 10)) % 10;
|
||||
int ergebnis_vorkomma = ((int) floor(zahl)) % 10;
|
||||
|
||||
result = std::to_string(ergebnis_vorkomma) + std::to_string(ergebnis_nachkomma);
|
||||
}
|
||||
else
|
||||
{
|
||||
zif_akt = ZeigerEvalHybrid(GENERAL[_analog]->ROI[GENERAL[_analog]->ROI.size() - 1]->result, -1, -1);
|
||||
result = std::to_string(zif_akt);
|
||||
}
|
||||
}
|
||||
else
|
||||
{
|
||||
@@ -99,12 +106,12 @@ string ClassFlowCNNGeneral::getReadout(int _analog = 0)
|
||||
{
|
||||
if (GENERAL[_analog]->ROI[i]->result >= 0)
|
||||
{
|
||||
prev = ZeigerEval(GENERAL[_analog]->ROI[i]->result, prev);
|
||||
result = std::to_string(prev) + result;
|
||||
zif_akt = ZeigerEvalHybrid(GENERAL[_analog]->ROI[i]->result, GENERAL[_analog]->ROI[i+1]->result, zif_akt);
|
||||
result = std::to_string(zif_akt) + result;
|
||||
}
|
||||
else
|
||||
{
|
||||
prev = -1;
|
||||
zif_akt = -1;
|
||||
result = "N" + result;
|
||||
}
|
||||
}
|
||||
@@ -114,6 +121,47 @@ string ClassFlowCNNGeneral::getReadout(int _analog = 0)
|
||||
return result;
|
||||
}
|
||||
|
||||
int ClassFlowCNNGeneral::ZeigerEvalHybrid(float zahl, float zahl_vorgaenger, int eval_vorgaenger)
|
||||
{
|
||||
int ergebnis_nachkomma = ((int) floor(zahl * 10)) % 10;
|
||||
// int ergebnis_vorkomma = ((int) floor(zahl)) % 10;
|
||||
|
||||
if (zahl_vorgaenger < 0) // keine Vorzahl vorhanden !!! --> Runde die Zahl
|
||||
{
|
||||
if ((ergebnis_nachkomma <= 2) || (ergebnis_nachkomma >= 8)) // Band um die Ziffer --> Runden, da Ziffer im Rahmen Ungenauigkeit erreicht
|
||||
return (int) round(zahl);
|
||||
else
|
||||
return (int) trunc(zahl);
|
||||
}
|
||||
|
||||
if (zahl_vorgaenger > 9.2) // Ziffernwechsel beginnt
|
||||
{
|
||||
if (eval_vorgaenger == 0) // Wechsel hat schon stattgefunden
|
||||
{
|
||||
return (int) round(zahl); // Annahme, dass die neue Zahl schon in der Nähe des Ziels ist
|
||||
}
|
||||
else
|
||||
{
|
||||
if (zahl_vorgaenger <= 9.5) // Wechsel startet gerade, aber beginnt erst
|
||||
{
|
||||
if ((ergebnis_nachkomma <= 2) || (ergebnis_nachkomma >= 8)) // Band um die Ziffer --> Runden, da Ziffer im Rahmen Ungenauigkeit erreicht
|
||||
return (int) round(zahl);
|
||||
else
|
||||
return (int) trunc(zahl);
|
||||
}
|
||||
else
|
||||
{
|
||||
return (int) trunc(zahl); // Wechsel schon weiter fortgeschritten, d.h. über 2 als Nachkomma
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
if ((ergebnis_nachkomma <= 2) || (ergebnis_nachkomma >= 8)) // Band um die Ziffer --> Runden, da Ziffer im Rahmen Ungenauigkeit erreicht
|
||||
return (int) round(zahl);
|
||||
|
||||
return (int) trunc(zahl);
|
||||
}
|
||||
|
||||
int ClassFlowCNNGeneral::ZeigerEval(float zahl, int ziffer_vorgaenger)
|
||||
{
|
||||
int ergebnis_nachkomma = ((int) floor(zahl * 10)) % 10;
|
||||
@@ -407,6 +455,8 @@ bool ClassFlowCNNGeneral::doNeuralNetwork(string time)
|
||||
printf(zwcnn.c_str());printf("\n");
|
||||
if (!tflite->LoadModel(zwcnn)) {
|
||||
printf("Can't read model file /sdcard%s\n", cnnmodelfile.c_str());
|
||||
LogFile.WriteToFile("Cannot load model");
|
||||
|
||||
delete tflite;
|
||||
return false;
|
||||
}
|
||||
@@ -488,12 +538,19 @@ bool ClassFlowCNNGeneral::doNeuralNetwork(string time)
|
||||
_num = tflite->GetOutClassification(0, 10);
|
||||
_nachkomma = tflite->GetOutClassification(11, 22);
|
||||
|
||||
|
||||
string _zwres = "Nach Invoke - Nummer: " + to_string(_num) + " Nachkomma: " + to_string(_nachkomma);
|
||||
if (debugdetailgeneral) LogFile.WriteToFile(_zwres);
|
||||
|
||||
if ((_num == 10) || (_nachkomma == 10)) // NaN detektiert
|
||||
GENERAL[_ana]->ROI[i]->result = -1;
|
||||
else
|
||||
GENERAL[_ana]->ROI[i]->result = fmod(_num + (_nachkomma-5)/10 + 10, 10);
|
||||
GENERAL[_ana]->ROI[i]->result = fmod((double) _num + (((double)_nachkomma)-5)/10 + (double) 10, 10);
|
||||
|
||||
printf("Result General(DigitalHyprid)%i: %f\n", i, GENERAL[_ana]->ROI[i]->result);
|
||||
_zwres = "Result General(DigitalHyprid)" + to_string(i) + ": " + to_string(GENERAL[_ana]->ROI[i]->result);
|
||||
if (debugdetailgeneral) LogFile.WriteToFile(_zwres);
|
||||
|
||||
if (isLogImage)
|
||||
LogImage(logPath, GENERAL[_ana]->ROI[i]->name, &GENERAL[_ana]->ROI[i]->result, NULL, time, GENERAL[_ana]->ROI[i]->image_org);
|
||||
} break;
|
||||
|
||||
@@ -40,6 +40,8 @@ protected:
|
||||
bool extendedResolution;
|
||||
|
||||
int ZeigerEval(float zahl, int ziffer_vorgaenger);
|
||||
int ZeigerEvalHybrid(float zahl, float zahl_vorgaenger, int eval_vorgaenger);
|
||||
|
||||
|
||||
bool doNeuralNetwork(string time);
|
||||
bool doAlignAndCut(string time);
|
||||
@@ -64,7 +66,7 @@ public:
|
||||
general* FindGENERAL(string _name_number);
|
||||
string getNameGENERAL(int _analog);
|
||||
|
||||
bool isExtendedResolution(int _number);
|
||||
bool isExtendedResolution(int _number = 0);
|
||||
|
||||
void UpdateNameNumbers(std::vector<std::string> *_name_numbers);
|
||||
|
||||
|
||||
@@ -48,9 +48,14 @@ void ClassFlowImage::LogImage(string logPath, string name, float *resultFloat, i
|
||||
if (!isLogImage)
|
||||
return;
|
||||
|
||||
|
||||
char buf[10];
|
||||
|
||||
if (resultFloat != NULL) {
|
||||
sprintf(buf, "%.1f_", *resultFloat);
|
||||
if (*resultFloat < 0)
|
||||
sprintf(buf, "N.N_");
|
||||
else
|
||||
sprintf(buf, "%.1f_", *resultFloat);
|
||||
} else if (resultInt != NULL) {
|
||||
sprintf(buf, "%d_", *resultInt);
|
||||
} else {
|
||||
|
||||
@@ -559,6 +559,10 @@ bool ClassFlowPostProcessing::doFlow(string zwtime)
|
||||
|
||||
if (flowAnalog) NUMBERS[j]->AnzahlAnalog = flowAnalog->AnzahlROIs(j);
|
||||
if (flowDigit) NUMBERS[j]->AnzahlDigital = flowDigit->AnzahlROIs(j);
|
||||
|
||||
if (flowDigit->isExtendedResolution())
|
||||
NUMBERS[j]->DecimalShift = NUMBERS[j]->DecimalShiftInitial - 1;
|
||||
|
||||
NUMBERS[j]->Nachkomma = NUMBERS[j]->AnzahlAnalog - NUMBERS[j]->DecimalShift;
|
||||
|
||||
|
||||
|
||||
@@ -194,6 +194,8 @@ void CTfLiteClass::MakeAllocate()
|
||||
TfLiteStatus allocate_status = this->interpreter->AllocateTensors();
|
||||
if (allocate_status != kTfLiteOk) {
|
||||
TF_LITE_REPORT_ERROR(error_reporter, "AllocateTensors() failed");
|
||||
LogFile.WriteToFile("AllocateTensors() failed");
|
||||
|
||||
this->GetInputDimension();
|
||||
return;
|
||||
}
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
const char* GIT_REV="af99de3";
|
||||
const char* GIT_REV="dd995ec";
|
||||
const char* GIT_TAG="";
|
||||
const char* GIT_BRANCH="rolling";
|
||||
const char* BUILD_TIME="2021-09-10 07:03";
|
||||
const char* BUILD_TIME="2021-09-12 07:26";
|
||||
@@ -13,7 +13,7 @@ extern "C"
|
||||
#include "Helper.h"
|
||||
#include <fstream>
|
||||
|
||||
const char* GIT_BASE_BRANCH = "master - v8.2.0 - 2021-08-24";
|
||||
const char* GIT_BASE_BRANCH = "master - v8.3.0 - 2021-09-12";
|
||||
|
||||
|
||||
const char* git_base_branch(void)
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
const char* GIT_REV="af99de3";
|
||||
const char* GIT_REV="dd995ec";
|
||||
const char* GIT_TAG="";
|
||||
const char* GIT_BRANCH="rolling";
|
||||
const char* BUILD_TIME="2021-09-10 07:03";
|
||||
const char* BUILD_TIME="2021-09-12 07:26";
|
||||
Binary file not shown.
Binary file not shown.
Binary file not shown.
Binary file not shown.
@@ -468,6 +468,13 @@ function draw() {
|
||||
context.strokeRect(x0, y0, dx, dy);
|
||||
context.lineWidth = 1;
|
||||
context.strokeRect(x0+dx*0.2, y0+dy*0.2, dx*0.6, dy*0.6);
|
||||
|
||||
context.lineWidth = 2;
|
||||
context.beginPath();
|
||||
context.moveTo(x0, y0+dy/2);
|
||||
context.lineTo(x0+dx, y0+dy/2);
|
||||
context.stroke();
|
||||
|
||||
ROIInfo[aktindex]["x"] = rect.startX;
|
||||
ROIInfo[aktindex]["y"] = rect.startY;
|
||||
ROIInfo[aktindex]["dx"] = rect.w;
|
||||
|
||||
@@ -9,7 +9,7 @@ function getbasepath(){
|
||||
{
|
||||
// host = "http://192.168.2.219"; // jomjol interner test
|
||||
// host = "http://192.168.178.46"; // jomjol interner test
|
||||
host = "http://192.168.178.64"; // jomjol interner Real
|
||||
host = "http://192.168.178.22"; // jomjol interner Real
|
||||
// host = "http://192.168.43.191";
|
||||
// host = "."; // jomjol interner localhost
|
||||
|
||||
|
||||
@@ -53,6 +53,7 @@ function ParseConfig() {
|
||||
ParamAddValue(param, catname, "LogImageLocation");
|
||||
ParamAddValue(param, catname, "LogfileRetentionInDays");
|
||||
ParamAddValue(param, catname, "ModelInputSize", 2);
|
||||
ParamAddValue(param, catname, "ExtendedResolution");
|
||||
|
||||
var catname = "Analog";
|
||||
category[catname] = new Object();
|
||||
|
||||
Reference in New Issue
Block a user