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  • Casting NN Blur
  • Demo
  • Setup
  • Source code
  • Pipeline

Casting NN Blur

This example demonstrates how to apply a blur effect using a neural network and the Cast node. The output of the cast node can be used in second stage neural networks or for further processing.

Demo

Setup

Please run the install script to download all required dependencies. Please note that this script must be ran from git context, so you have to download the depthai-python repository first and then run the script
Command Line
1git clone https://github.com/luxonis/depthai-python.git
2cd depthai-python/examples
3python3 install_requirements.py
For additional information, please follow the installation guide.

Source code

Python
C++

Python

Python
GitHub
1#!/usr/bin/env python3
2
3import depthai as dai
4import cv2
5from pathlib import Path
6
7SHAPE = 300
8
9p = dai.Pipeline()
10
11camRgb = p.create(dai.node.ColorCamera)
12nn = p.create(dai.node.NeuralNetwork)
13rgbOut = p.create(dai.node.XLinkOut)
14cast = p.create(dai.node.Cast)
15castXout = p.create(dai.node.XLinkOut)
16
17camRgb.setPreviewSize(SHAPE, SHAPE)
18camRgb.setInterleaved(False)
19
20nnBlobPath = (Path(__file__).parent / Path('../models/blur_simplified_openvino_2021.4_6shave.blob')).resolve().absolute()
21
22nn.setBlobPath(nnBlobPath)
23
24rgbOut.setStreamName("rgb")
25
26castXout.setStreamName("cast")
27
28cast.setOutputFrameType(dai.RawImgFrame.Type.BGR888p)
29
30# Linking
31camRgb.preview.link(nn.input)
32camRgb.preview.link(rgbOut.input)
33nn.out.link(cast.input)
34cast.output.link(castXout.input)
35
36with dai.Device(p) as device:
37    qCam = device.getOutputQueue(name="rgb", maxSize=4, blocking=False)
38    qCast = device.getOutputQueue(name="cast", maxSize=4, blocking=False)
39
40
41    while True:
42        inCast = qCast.get()
43        assert isinstance(inCast, dai.ImgFrame)
44        inRgb = qCam.get()
45        assert isinstance(inRgb, dai.ImgFrame)
46        cv2.imshow("Blur", inCast.getCvFrame())
47        cv2.imshow("Original", inRgb.getCvFrame())
48
49
50        if cv2.waitKey(1) == ord('q'):
51            break

Pipeline

React Flow

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