11085 2017-02-20 11:11:42 +0000 Computer vision demo/testing setup 2017-05-04 08:02:49 +0000 1 1 6 Yocto Project Subprojects IoT Reference OS Kit intel-iot-refkit-profile-computer-vision unspecified x86 x86_64 RESOLVED FIXED Low enhancement 2.3 M4 1 ismo.puustinen ismo.puustinen brian.avery christian.da.costa matti-pekka.sivosuo mikko.ylinen randy.macleod --- --- Yes (doc changes required) oldest_to_newest 70827 0 ismo.puustinen 2017-02-20 11:11:42 +0000 Integrate various computer vision technologies into one demo / test case. Initial thinking is to use OpenCV for recognizing content in the picture. Then librealsense can be used for distance measurement to the recognized content. 71959 1 ismo.puustinen 2017-03-31 10:48:53 +0000 A demo setup is created here: https://github.com/intel/intel-iot-refkit/pull/57 It allows, among other things, the use of RealSense cameras using Python 3 (for scripting) and brings example models for image recognition. The PR can't be merged though, because the final location to demo layers isn't defined yet. One example demo which can be built using the PR with Python3 OpenCV and RealSense bindings is measuring the distance to cats using a RealSense camera: #!/usr/bin/python3 import sys import numpy as np import cv2 import pyrealsense as pyrs n_devices = pyrs.start() if n_devices == 0: print("No RealSense devices found!") sys.exit(1) cam = pyrs.Device() cat_cascade = cv2.CascadeClassifier("/usr/share/OpenCV/haarcascades/haarcascade_frontalcatface.xml") for x in range(30): # stabilize exposure cam.wait_for_frame() while True: # get image from web cam cam.wait_for_frame() img = cam.colour cats = cat_cascade.detectMultiScale(img) for (x,y,w,h) in cats: # find center cx = x+(w/2) cy = y+(h/2) depth = cam.depth[cy][cx] print("Cat found, distance " + str(depth/10.0) + " cm") 72788 2 ismo.puustinen 2017-04-24 12:05:58 +0000 Before merging we need to finalize the layer discussion (where to put demos, testing coverage, ...). 72851 3 mikko.ylinen 2017-04-26 06:14:50 +0000 (In reply to comment #2) > Before merging we need to finalize the layer discussion (where to put demos, > testing coverage, ...). The 'where' part is what we've already agreed. We can proceed with that as the first step. Please create a PR that adds meta-refkit-extra and all the recipes in it. We can start with that layer disabled and I'd propose that satisfies 2.3M4. 72852 4 ismo.puustinen 2017-04-26 06:49:59 +0000 Ok, I'll add the layer. Should we in fact add several layers for different distro configurations? For example, we could have meta-refkit-extra-graphical for demos which require X11 DISTRO_FEATURE, and so on? If we have the layers disabled we can then just select which ones we need. 72886 5 ismo.puustinen 2017-04-27 04:58:15 +0000 The meta-refkit-extra layer PR is now there with computer vision demo content and documentation. Changing status of this issue to "review". 73005 6 randy.macleod 2017-05-03 15:51:09 +0000 Brian is going to create a new BZ as a follow-up to this one. Could you like or mention the bug id here now that I've added you too the CC list? :)