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Code translation (#1626)

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* comment translation

* translation part #2

* code translation from DE to ENG #part3

* translation #4

* dismantled =>splitted

* bereich => range

* Update defines.h

Co-authored-by: jomjol <30766535+jomjol@users.noreply.github.com>
This commit is contained in:
Nicolas Liaudat
2022-12-19 22:05:45 +01:00
committed by GitHub
parent 67ff06f64e
commit f6369ff237
31 changed files with 686 additions and 750 deletions
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10
code/components/jomjol_tfliteclass/CTfLiteClass.cpp
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@@ -56,7 +56,7 @@ int CTfLiteClass::GetOutClassification(int _von, int _bis)
if (_bis >= numeroutput)
{
ESP_LOGD(TAG, "ANZAHL OUTPUT NEURONS passt nicht zu geforderter Classifizierung!");
ESP_LOGD(TAG, "NUMBER OF OUTPUT NEURONS does not match required classification!");
return -1;
}
@@ -168,7 +168,7 @@ bool CTfLiteClass::LoadInputImageBasis(CImageBasis *rs)
}
#ifdef DEBUG_DETAIL_ON
LogFile.WriteToFile(ESP_LOG_DEBUG, TAG, "Nach dem Laden in input");
LogFile.WriteToFile(ESP_LOG_DEBUG, TAG, "After loading in input");
#endif
return true;
@@ -226,7 +226,7 @@ unsigned char* CTfLiteClass::ReadFileToCharArray(std::string _fn)
unsigned char *result = (unsigned char*) malloc(size);
int anz = 1;
while (!result && (anz < 6)) // maximal 5x versuchen (= 5s)
while (!result && (anz < 6)) // Try a maximum of 5x (= 5s)
{
#ifdef DEBUG_DETAIL_ON
ESP_LOGD(TAG, "Speicher ist voll - Versuche es erneut: %d", anz);
@@ -237,7 +237,7 @@ unsigned char* CTfLiteClass::ReadFileToCharArray(std::string _fn)
if(result != NULL) {
FILE* f = OpenFileAndWait(_fn.c_str(), "rb"); // vorher nur "r"
FILE* f = OpenFileAndWait(_fn.c_str(), "rb"); // previously only "r
fread(result, 1, size, f);
fclose(f);
}else {
@@ -276,7 +276,7 @@ CTfLiteClass::CTfLiteClass()
this->interpreter = nullptr;
this->input = nullptr;
this->output = nullptr;
this->kTensorArenaSize = 800 * 1024; /// laut testfile: 108000 - bisher 600;; 2021-09-11: 200 * 1024
this->kTensorArenaSize = 800 * 1024; /// according to testfile: 108000 - so far 600;; 2021-09-11: 200 * 1024
this->tensor_arena = new uint8_t[kTensorArenaSize];
}