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Made debouncing more robust

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This commit is contained in:
Andrea Martelloni 2025-04-29 17:47:32 +01:00
parent fb3b1d7e61
commit dd362158b7
2 changed files with 19 additions and 11 deletions
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2
src/memllib

@ -1 +1 @@
Subproject commit e0d2a5ce112f76e337f697ad1a52df981cab88f9
Subproject commit c9e870062b6125b40ee1a295dd196880f30cd218

28
subtractivesynthIML.ino
View file

@ -100,19 +100,23 @@ public:
void SaveInput(saving_mode_t mode)
{
if (STORE_VALUE_MODE == mode) {
if (training_mode_ == TRAINING_MODE) {
if (STORE_VALUE_MODE == mode) {
Serial.println("Move input to position...");
perform_inference_ = false;
Serial.println("Move input to position...");
perform_inference_ = false;
} else { // STORE_POSITION_MODE
} else { // STORE_POSITION_MODE
Serial.println("Creating example in this position.");
// Save pair in the dataset
dataset_->Add(input_state_, output_state_);
perform_inference_ = true;
MLInference_(input_state_);
Serial.println("Creating example in this position.");
// Save pair in the dataset
dataset_->Add(input_state_, output_state_);
perform_inference_ = true;
MLInference_(input_state_);
}
} else {
Serial.println("Switch to training mode first.");
}
}
@ -121,6 +125,8 @@ public:
if (training_mode_ == TRAINING_MODE) {
Serial.println("Clearing dataset...");
dataset_->Clear();
} else {
Serial.println("Switch to training mode first.");
}
}
@ -130,6 +136,8 @@ public:
Serial.println("Randomising weights...");
MLRandomise_();
MLInference_(input_state_);
} else {
Serial.println("Switch to training mode first.");
}
}
@ -418,7 +426,7 @@ void bind_interface(std::shared_ptr<IMLInterface> interface)
void setup()
{
Serial.begin(115200);
while (!Serial) {}
//while (!Serial) {}
Serial.println("Serial initialised.");
WRITE_VOLATILE(serial_ready, true);