This sdk is currently out of maintenance.
- You can use this on obnizOS 1.X.X or 2.X.X, but cannot use 3.X.X.
- You can use only with obniz board / obniz Board 1Y. Other devices is not supported.
obniz sdk for python. You can use obnizBoard or obnizOS.
Control obniz from python.
This sdk works with obniz api.
Compatible with Python 3.6+.
import asyncio
from obniz import Obniz
async def onconnect(obniz):
obniz.io0.drive("5v")
obniz.io0.output(True)
obniz.io1.pull("3v")
obniz.io1.drive("open-drain")
obniz.io1.output(False)
obniz.io2.drive("3v")
obniz.io2.output(True)
def callback(voltage):
print("change to {} v".format(voltage))
obniz.ad3.start(callback)
pwm = obniz.get_free_pwm()
pwm.start({"io": 4})
pwm.freq(1000)
pwm.duty(50)
uart = obniz.getFreeUart()
uart.start({"tx": 5, "rx": 6, "baud": 9600})
def onreceive(data, text):
print(data)
uart.onreceive = onreceive
uart.send("Hello")
obniz = Obniz('0000-0000')
obniz.onconnect = onconnect
asyncio.get_event_loop().run_forever()Install obniz via pip
pip install obnizand import it on python file.
from obniz import ObnizDetails on doc/connection
To use obniz, instantiate obniz with obniz id. and set onconnect callback function. It will be called when connected to obniz successfully.
import asyncio
async def onconnect(obniz):
pass
obniz = Obniz('0000-0000')
obniz.onconnect = onconnect
asyncio.get_event_loop().run_forever()You are able to use everything on obniz after connect.
async def onconnect(obniz):
obniz.io0.drive("5v")
obniz.io0.output(True)
obniz.io1.pull("3v")
obniz.io1.drive("open-drain")
obniz.io1.output(False)
obniz.io2.drive("3v")
obniz.io2.output(True)
def callback(voltage):
print("change to {} v".format(voltage))
obniz.ad3.start(callback)
pwm = obniz.get_free_pwm()
pwm.start({"io": 4})
pwm.freq(1000)
pwm.duty(50)
uart = obniz.getFreeUart()
uart.start({"tx": 5, "rx": 6, "baud": 9600})
def onreceive(data, text):
print(data)
uart.onreceive = onreceive
uart.send("Hello")Easy to integrate python libraries like TensorFlow.
(need to install tensorflow and opencv-python)
import asyncio
from obniz import Obniz
import cv2
import numpy as np
import tensorflow as tf
from tensorflow import keras
class_names = ['T-shirt/top', 'Trouser', 'Pullover', 'Dress', 'Coat',
'Sandal', 'Shirt', 'Sneaker', 'Bag', 'Ankle boot']
fashion_mnist = keras.datasets.fashion_mnist
(train_images, train_labels), (test_images, test_labels) = fashion_mnist.load_data()
train_images = train_images / 255.0
test_images = test_images / 255.0
model = keras.Sequential([
keras.layers.Flatten(input_shape=(28, 28)),
keras.layers.Dense(128, activation=tf.nn.relu),
keras.layers.Dense(10, activation=tf.nn.softmax)
])
model.compile(optimizer=tf.train.AdamOptimizer(),
loss='sparse_categorical_crossentropy',
metrics=['accuracy'])
model.fit(train_images, train_labels, epochs=5)
test_loss, test_acc = model.evaluate(test_images, test_labels)
print('Test accuracy:', test_acc)
def set_angle(pwm, angle):
max = 2.4
min = 0.5
val = ((max - min) * angle) / 180.0 + min
pwm.pulse(val)
async def onconnect(obniz):
obniz.io0.output(False)
obniz.io1.output(True)
pwm = obniz.get_free_pwm()
pwm.start({"io": 2})
pwm.freq(50)
cap = cv2.VideoCapture(0)
prev = None
while True:
ret, frame = cap.read()
frame = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
ret, frame = cv2.threshold(frame, 127, 255, cv2.THRESH_BINARY_INV)
height, width = frame.shape
x = height if height < width else width
y = height if height < width else width
square= np.zeros((x, y), np.uint8)
x1 = int((width-x)/2)
x2 = int(width-(width-x)/2)
y1 = int((height-y)/2)
y2 = int(height-(height-y)/2)
square = frame[y1:y2, x1:x2]
cv2.imshow("frame", square)
img = cv2.resize(square, (28, 28), interpolation = cv2.INTER_AREA)
img = (np.expand_dims(img / 255.0, 0))
predictions_single = model.predict(img)
answer = np.argmax(predictions_single[0])
if prev != answer:
print("answer: {}".format(class_names[answer]))
set_angle(pwm, answer / 9 * 180)
prev = answer
if cv2.waitKey(1) & 0xFF == ord('q'):
asyncio.get_event_loop().stop()
break
await asyncio.sleep(0.1)
cap.release()
cv2.destroyAllWindows()
obniz = Obniz('0000-0000')
obniz.debugprint = True
obniz.onconnect = onconnect
asyncio.get_event_loop().run_forever()You can find the documentation on the website.
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent