3.18. Working with Camera and Networks¶

This notebook explores using a webcamera with a network.

[1]:

from conx.widgets import CameraWidget
import conx as cx

Using TensorFlow backend.
ConX, version 3.7.5

[2]:

camera = CameraWidget()

[3]:

camera

[4]:

image = camera.get_image()
image

[4]:

[5]:

image.save("camera.jpg")

[6]:

data = camera.get_data()

[7]:

data.shape

[7]:

(240, 320, 3)

[8]:

net = cx.Network("Camera Network")
net.add(cx.ImageLayer("camera", (240, 320), 3),
        cx.Conv2DLayer("conv2d", 32, (3,3)),
        cx.MaxPool2DLayer("maxpool", (2,2)),
        cx.FlattenLayer("flatten"),
        cx.Layer("output", 10))
net.connect()
net.compile(error="mse", optimizer="adam")

[9]:

net.dataset.append(data, cx.to_categorical(1, 10))

[10]:

net.dashboard()

[11]:

net.picture(camera.get_data())

[11]:

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