Download of Library.sensor.image.lcd.KPU

[awchen9]

Using thorny for esp32 cam development, missing sensor. image. lcd KPU, how to install and download.Here is my code

import os
import machine
import time
import uos
import sensor
import image
import lcd
import KPU as kpu


sensor.reset()
sensor.set_pixformat(sensor.RGB565)
sensor.set_framesize(sensor.QVGA)
sensor.run(1)


lcd.init()


model_path = "/sd/module/best.tflite"
task = kpu.load(model_path)


labels = ["happy", "neutral", "angry", "yawn", "close"]


while True:
    img = sensor.snapshot()
    img = img.resize(224, 224)
    img_array = img.to_bytes()


    fmap = kpu.forward(task, img_array)


    output = fmap[:]


    for idx, value in enumerate(output):
        label = labels[idx]
        print("{}: {:.2f}%".format(label, value * 100))


    gc.collect()


    time.sleep(1)

kpu.deinit(task)

[andrewleech]

Where did this example code come from? I don't know of kpu or image modules for esp32, they're not a standard part of micropython that I'm aware of.

[awchen9]

`import gc
import os
import machine
import time
import uos
import sensor
import image
import lcd
import tensorflow as tf

sensor.reset()
sensor.set_pixformat(sensor.RGB565)
sensor.set_framesize(sensor.QVGA)
sensor.run(1)

lcd.init()

model_path = "/sd/module/best.tflite"
interpreter = tf.lite.Interpreter(model_path=model_path)
interpreter.allocate_tensors()

input_details = interpreter.get_input_details()
output_details = interpreter.get_output_details()

labels = ["happy", "neutral", "angry", "yawn", "close"]

while True:
img = sensor.snapshot()
img = img.resize(224, 224)

img_array = img.to_bytes()

interpreter.set_tensor(input_details[0]['index'], img_array)

interpreter.invoke()

output = interpreter.get_tensor(output_details[0]['index'])

for idx, value in enumerate(output[0]):
    label = labels[idx]
    print("{}: {:.2f}%".format(label, value * 100))

time.sleep(1)

`
This is the latest code