rolling 2021-03-06

This commit is contained in:
jomjol
2021-03-06 20:10:31 +01:00
parent 01f8a514a1
commit 871d3b537d
8 changed files with 18 additions and 8 deletions

View File

@@ -39,7 +39,13 @@ If you would like to support the developer with a cup of coffee you can do that
**General remark:** Beside the `firmware.bin`, typically also the content of `/html` needs to be updated!
##### Rolling (2021-02-03)
##### Rolling (2021-02-06)
* added checked value information to MQTT error message
2021-02-03
* Pinned espressif32 to version 2.1.0
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)
if ((!AllowNegativeRates) && (Value < PreValue))
{
ErrorMessageText = ErrorMessageText + "Negative Rate - Returned old value - read value: " + zwvalue + " - raw value: " + ReturnRawValue;
ErrorMessageText = ErrorMessageText + "Negative Rate - Returned old value - read value: " + zwvalue + " - raw value: " + ReturnRawValue + " - checked value: " + std::to_string(Value) + " ";
Value = PreValue;
zwvalue = RundeOutput(Value, AnzahlAnalog - DecimalShift);
}
if (useMaxRateValue && (abs(Value - PreValue) > MaxRateValue))
{
ErrorMessageText = ErrorMessageText + "Rate too high - Returned old value - read value: " + zwvalue + " ";
ErrorMessageText = ErrorMessageText + "Rate too high - Returned old value - read value: " + zwvalue + " - checked value: " + std::to_string(Value) + " ";
Value = PreValue;
zwvalue = RundeOutput(Value, AnzahlAnalog - DecimalShift);
}

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@@ -140,7 +140,10 @@ bool CTfLiteClass::LoadInputImageBasis(CImageBasis *rs)
void CTfLiteClass::MakeAllocate()
{
static tflite::AllOpsResolver resolver;
// printf(LogFile.getESPHeapInfo().c_str()); printf("\n");
this->interpreter = new tflite::MicroInterpreter(this->model, resolver, this->tensor_arena, this->kTensorArenaSize, this->error_reporter);
// printf(LogFile.getESPHeapInfo().c_str()); printf("\n");
TfLiteStatus allocate_status = this->interpreter->AllocateTensors();
if (allocate_status != kTfLiteOk) {
@@ -229,7 +232,7 @@ CTfLiteClass::CTfLiteClass()
this->interpreter = nullptr;
this->input = nullptr;
this->output = nullptr;
this->kTensorArenaSize = 150 * 1024; /// laut testfile: 108000 - bisher 600
this->kTensorArenaSize = 200 * 1024; /// laut testfile: 108000 - bisher 600
this->tensor_arena = new uint8_t[kTensorArenaSize];
}

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@@ -1,4 +1,4 @@
const char* GIT_REV="7dbd77d";
const char* GIT_REV="01f8a51";
const char* GIT_TAG="";
const char* GIT_BRANCH="rolling";
const char* BUILD_TIME="2021-03-01 07:17";
const char* BUILD_TIME="2021-03-06 19:58";

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@@ -15,6 +15,7 @@ src_dir = main
[env:esp32cam]
platform = espressif32@2.1.0
;platform = espressif32
board = esp32cam
framework = espidf

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@@ -1,4 +1,4 @@
const char* GIT_REV="7dbd77d";
const char* GIT_REV="01f8a51";
const char* GIT_TAG="";
const char* GIT_BRANCH="rolling";
const char* BUILD_TIME="2021-03-01 07:17";
const char* BUILD_TIME="2021-03-06 19:58";

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