add DigitsExample + fix broken compile

Author: agrimagsrl

.gitignore

@@ -1,2 +1,3 @@
 cmake-build-debug
-.idea
+.idea
+src (copia)

examples/DigitsExample/DigitsExample.ino

@@ -0,0 +1,60 @@
+#include <EloquentTinyML.h>
+#include "digits_model.h"
+
+#define NUMBER_OF_INPUTS 64
+#define NUMBER_OF_OUTPUTS 10
+// in future projects you may need to tweek this value: it's a trial and error process
+#define TENSOR_ARENA_SIZE 8*1024
+
+Eloquent::TinyML::TfLite<NUMBER_OF_INPUTS, NUMBER_OF_OUTPUTS, TENSOR_ARENA_SIZE> ml;
+
+
+void setup() {
+    Serial.begin(115200);
+    ml.begin(digits_model);
+}
+
+void loop() {
+    // pick up a random x and predict its sine
+    float x_test[64] = { 0.    , 0.    , 0.625 , 0.875 , 0.5   , 0.0625, 0.    , 0.    ,
+                         0.    , 0.125 , 1.    , 0.875 , 0.375 , 0.0625, 0.    , 0.    ,
+                         0.    , 0.    , 0.9375, 0.9375, 0.5   , 0.9375, 0.    , 0.    ,
+                         0.    , 0.    , 0.3125, 1.    , 1.    , 0.625 , 0.    , 0.    ,
+                         0.    , 0.    , 0.75  , 0.9375, 0.9375, 0.75  , 0.    , 0.    ,
+                         0.    , 0.25  , 1.    , 0.375 , 0.25  , 1.    , 0.375 , 0.    ,
+                         0.    , 0.5   , 1.    , 0.625 , 0.5   , 1.    , 0.5   , 0.    ,
+                         0.    , 0.0625, 0.5   , 0.75  , 0.875 , 0.75  , 0.0625, 0.    };
+    float y_pred[10] = {0};
+    int y_test = 8;
+
+    uint32_t start = micros();
+    ml.predict(x_test, y_pred);
+    uint32_t timeit = micros() - start;
+    Serial.print("It took ");
+    Serial.print(timeit);
+    Serial.println(" micros to run inference");
+
+    Serial.print("Test output is: ");
+    Serial.println(y_test);
+    Serial.print("Predicted proba are: ");
+
+    for (int i = 0; i < 10; i++) {
+        Serial.print(y_pred[i]);
+        Serial.print(i == 9 ? '\n' : ',');
+    }
+
+    uint8_t pred_class = 0;
+    float max_proba = y_pred[0];
+
+    for (int i = 1; i < 10; i++) {
+        if (y_pred[i] > max_proba) {
+            pred_class = i;
+            max_proba = y_pred[i];
+        }
+    }
+
+    Serial.print("Predicted output is: ");
+    Serial.println(pred_class);
+
+    delay(1000);
+}

examples/DigitsExample/digits_model.h

@@ -6,7 +6,7 @@
     "type": "git",
     "url": "https://github.com/eloquentarduino/EloquentTinyML"
   },
-  "version": "0.0.3",
+  "version": "0.0.4",
   "authors": {
     "name": "Simone Salerno",
     "url": "https://github.com/eloquentarduino"

examples/SineCosineExample/sine_cosine_model.py

@@ -1,5 +1,5 @@
 name=EloquentTinyML
-version=0.0.3
+version=0.0.4
 author=Simone Salerno,[email protected]
 maintainer=Simone Salerno,[email protected]
 sentence=An eloquent interface to Tensorflow Lite for Microcontrollers