add files and code

Openmv Code/boot.py

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+import sensor
+import time
+import ml
+import display
+
+sensor.reset()  # Reset and initialize the sensor.
+sensor.set_pixformat(sensor.RGB565)  # Set pixel format to RGB565 (or GRAYSCALE)
+sensor.set_framesize(sensor.QQVGA2)  # Special 128x160 framesize for LCD Shield.
+
+sensor.skip_frames(time=2000)  # Let the camera adjust.
+
+
+
+model = ml.Model("model_quant.tflite", load_to_fb=True)
+
+labels = [line.rstrip("\n") for line in open("labels.txt")]
+
+clock = time.clock()
+lcd = display.SPIDisplay()
+
+
+while True:
+    clock.tick()
+
+    img = sensor.snapshot()
+
+
+    # This combines the labels and confidence values into a list of tuples
+    # and then sorts that list by the confidence values.
+    sorted_list = sorted(
+        zip(labels, model.predict([img])[0].flatten().tolist()), key=lambda x: x[1], reverse=True
+    )
+
+    x = []
+    for i in range(len(sorted_list)):
+        x.append(sorted_list[i][1])
+
+    x_max = max(x)
+    x_min = min(x)
+
+    for i in range(len(x)):
+        x[i] = (x[i]-x_min)/(x_max-x_min)
+
+
+    x_max = max(x)
+    print(x_max)
+
+    for i in range(len(x)):
+        if x[i] == x_max:
+            img.draw_rectangle(0,0,128,10,(0,0,0),fill=True)
+            img.draw_string(2,0,"%s = %s" % (sorted_list[i][0], str(round(sorted_list[i][1],2))), (255,255,255))
+            print("%s = %s" % (sorted_list[i][0], str(round(sorted_list[i][1],2))))
+
+
+    lcd.write(img)
+    print(clock.fps(), "fps")

Openmv Code/labels.txt

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+ace
+card random
+jack
+king
+queen