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https://github.com/jomjol/AI-on-the-edge-device.git
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rolling 2021-03-06
This commit is contained in:
@@ -39,7 +39,13 @@ If you would like to support the developer with a cup of coffee you can do that
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**General remark:** Beside the `firmware.bin`, typically also the content of `/html` needs to be updated!
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##### Rolling (2021-02-03)
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##### Rolling (2021-02-06)
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* added checked value information to MQTT error message
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2021-02-03
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* Pinned espressif32 to version 2.1.0
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With the update to v3.0.0 code can be compiled, but is not functional - major checks (and chances?) needed
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@@ -361,14 +361,14 @@ bool ClassFlowPostProcessing::doFlow(string zwtime)
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if ((!AllowNegativeRates) && (Value < PreValue))
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{
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ErrorMessageText = ErrorMessageText + "Negative Rate - Returned old value - read value: " + zwvalue + " - raw value: " + ReturnRawValue;
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ErrorMessageText = ErrorMessageText + "Negative Rate - Returned old value - read value: " + zwvalue + " - raw value: " + ReturnRawValue + " - checked value: " + std::to_string(Value) + " ";
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Value = PreValue;
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zwvalue = RundeOutput(Value, AnzahlAnalog - DecimalShift);
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}
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if (useMaxRateValue && (abs(Value - PreValue) > MaxRateValue))
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{
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ErrorMessageText = ErrorMessageText + "Rate too high - Returned old value - read value: " + zwvalue + " ";
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ErrorMessageText = ErrorMessageText + "Rate too high - Returned old value - read value: " + zwvalue + " - checked value: " + std::to_string(Value) + " ";
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Value = PreValue;
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zwvalue = RundeOutput(Value, AnzahlAnalog - DecimalShift);
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}
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@@ -140,7 +140,10 @@ bool CTfLiteClass::LoadInputImageBasis(CImageBasis *rs)
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void CTfLiteClass::MakeAllocate()
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{
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static tflite::AllOpsResolver resolver;
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// printf(LogFile.getESPHeapInfo().c_str()); printf("\n");
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this->interpreter = new tflite::MicroInterpreter(this->model, resolver, this->tensor_arena, this->kTensorArenaSize, this->error_reporter);
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// printf(LogFile.getESPHeapInfo().c_str()); printf("\n");
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TfLiteStatus allocate_status = this->interpreter->AllocateTensors();
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if (allocate_status != kTfLiteOk) {
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@@ -229,7 +232,7 @@ CTfLiteClass::CTfLiteClass()
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this->interpreter = nullptr;
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this->input = nullptr;
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this->output = nullptr;
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this->kTensorArenaSize = 150 * 1024; /// laut testfile: 108000 - bisher 600
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this->kTensorArenaSize = 200 * 1024; /// laut testfile: 108000 - bisher 600
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this->tensor_arena = new uint8_t[kTensorArenaSize];
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}
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@@ -1,4 +1,4 @@
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const char* GIT_REV="7dbd77d";
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const char* GIT_REV="01f8a51";
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const char* GIT_TAG="";
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const char* GIT_BRANCH="rolling";
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const char* BUILD_TIME="2021-03-01 07:17";
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const char* BUILD_TIME="2021-03-06 19:58";
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@@ -15,6 +15,7 @@ src_dir = main
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[env:esp32cam]
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platform = espressif32@2.1.0
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;platform = espressif32
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board = esp32cam
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framework = espidf
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@@ -1,4 +1,4 @@
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const char* GIT_REV="7dbd77d";
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const char* GIT_REV="01f8a51";
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const char* GIT_TAG="";
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const char* GIT_BRANCH="rolling";
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const char* BUILD_TIME="2021-03-01 07:17";
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const char* BUILD_TIME="2021-03-06 19:58";
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