Read the statement by Michael Teeuw here.
Facial Recognition - customize your mirror for every user!
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Hi everyone,
I have the same issue.
What do you want to do?
[1] Capture training images from webcam
[2] Convert ‘*.jpg’ pictures from other cameras to training images
–> 1Enter the name of the person you want to capture or convert images for.
–> olifier
Images will be placed in ./training_data/olifier
Starting process…
Capturing positive training images.
Type c (and press enter) to capture an image.
Press Ctrl-C to quit.c
Capturing image…
Could not detect single face! Check the image in capture.pgm to see what was captured and try again with only one face visible.Thanks a lot
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@plumcraft Are you using the Pi camera module or a usb webcam ?
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I’m using the pi camera module. It’s correctly enable from the raspi config tool.
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I’ve tried to capture an image from my pi camera with :
pi@pi:~ $ raspistill -o output.jpg
the raspistill tool hang…
The pi camera might be broken ? someone got the same issue ?
Do you have any good usb webcam compatible with raspberry pi 3 and opencv ? I would like to use the MMM Face recognition module…
Thanks
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After retrying couple of times to make it work, it looks like the issue was coming the raspbian distribution or python package issue.
After reflashing my sd card with a fresh raspbian image, my camera works…
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It checks every second or so but you can configure the interval.You can buy longer cables for the Pi cam :)
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i am having a problem that the screen remains blank after i am logged in
(
image url)Thanks
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Very nice module.
However I keep ruinning into the same error when I try capture.py to convert them to pgm files:
Could not detect single face!I’ve taken ‘selfies’ with different camera’s in different lighting conditions, but not even one is good enough to convert into a pgm file…
Can you please give me some clues on what conditions my pictures have to meet?
Am I doing something wrong?
All help and advice appreciated!
