mirror of
https://github.com/jomjol/AI-on-the-edge-device.git
synced 2026-02-01 15:20:58 +03:00
removed redundant log entries (some now are DEBUG isntread of INFO or ERROR)
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@@ -548,8 +548,7 @@ bool ClassFlowCNNGeneral::getNetworkParameter()
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zwcnn = FormatFileName(zwcnn);
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ESP_LOGD(TAG, "%s", zwcnn.c_str());
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if (!tflite->LoadModel(zwcnn)) {
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ESP_LOGD(TAG, "Can't read model file /sdcard%s", cnnmodelfile.c_str());
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LogFile.WriteToFile("Cannot load model");
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LogFile.WriteToFile("Can't read model file /sdcard%s", cnnmodelfile.c_str());
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delete tflite;
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return false;
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}
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@@ -617,8 +616,7 @@ bool ClassFlowCNNGeneral::doNeuralNetwork(string time)
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zwcnn = FormatFileName(zwcnn);
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ESP_LOGD(TAG, "%s", zwcnn.c_str());
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if (!tflite->LoadModel(zwcnn)) {
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ESP_LOGD(TAG, "Can't read model file /sdcard%s", cnnmodelfile.c_str());
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LogFile.WriteToFile("Cannot load model");
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LogFile.WriteToFile("Can't read model file /sdcard%s", cnnmodelfile.c_str());
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delete tflite;
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return false;
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@@ -804,8 +802,7 @@ bool ClassFlowCNNGeneral::doNeuralNetwork(string time)
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GENERAL[_ana]->ROI[i]->isReject = true;
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result = -1;
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_result_save_file+= 100; // Für den Fall, dass fit nicht ausreichend, soll trotzdem das Ergebnis mit "-10x.y" abgespeichert werden.
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string zw = "Value Rejected due to Threshold (Fit: " + to_string(_fit) + "Threshold: " + to_string(CNNGoodThreshold);
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ESP_LOGD(TAG, "Value Rejected due to Threshold (Fit: %f, Threshold: %f", _fit, CNNGoodThreshold);
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string zw = "Value Rejected due to Threshold (Fit: " + to_string(_fit) + "Threshold: " + to_string(CNNGoodThreshold) + ")";
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LogFile.WriteToFile(zw);
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}
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else
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@@ -493,9 +493,8 @@ bool ClassFlowControll::ReadParameter(FILE* pfile, string& aktparamgraph)
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{
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// reboot notwendig damit die neue wlan.ini auch benutzt wird !!!
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fclose(pfile);
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ESP_LOGD(TAG, "do reboot");
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LogFile.SwitchOnOff(true);
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LogFile.WriteToFile("Reboot to activate new HOSTNAME.");
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LogFile.WriteToFile("Rebooting to activate new HOSTNAME...");
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esp_restart();
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hard_restart();
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doReboot();
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@@ -47,7 +47,6 @@ string ClassFlowImage::CreateLogFolder(string time) {
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string logPath = LogImageLocation + "/" + time.LOGFILE_TIME_FORMAT_DATE_EXTR + "/" + time.LOGFILE_TIME_FORMAT_HOUR_EXTR;
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isLogImage = mkdir_r(logPath.c_str(), S_IRWXU) == 0;
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if (!isLogImage) {
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ESP_LOGW(logTag, "Can't create log folder for analog images. Path %s", logPath.c_str());
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LogFile.WriteToFile("Can't create log folder for analog images. Path " + logPath);
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}
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@@ -129,7 +128,6 @@ void ClassFlowImage::RemoveOldLogs()
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}
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}
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}
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ESP_LOGI(logTag, "%d image folder deleted. %d image folder not deleted.", deleted, notDeleted);
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LogFile.WriteToFile("Image folder deleted: " + std::to_string(deleted) + ". Image folder not deleted: " + std::to_string(notDeleted));
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closedir(dir);
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}
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