Linux runs on huskylens2

I like to work on things together with people in a community so please msg me on discord reza2336 and we can make a group i also made a telegram group which would be cool because the robot could post to it its log.

try telegram 

http://t.me/Huskylens2

let me know if it works or not

ok so my robot now drives around i use a 13 pounds cheap plastic arduino bot

it looks for a person then looks for a face

in the future i want to ask who am i looking at and it will put the text in of the name and store the image to detect later which is machine learning

then i want to ask what are you doing then you say what you are doing.

when it docks it calls a friend on dfrobot community with huskylens and tells it my owner [reza] [is working on the computer]

it can keep a log aswell and read it to you if you go out and come back

example

at 12:00 i went to the kichen

at 12:05 i found a fly

at 12:06 i went to the lounge

at 12:08 my battery status showed it low

at 12:08 i went to the induction charging point to charge my battery i called a friend and talked to its owner here is the recording i asked what robot do you have, do you have a message for my owner, my owner implemented these new methods in my code etc.

at 12:30 my owner [reza] came home and asked can i see an image from your robot and it takes an image from the friends robot and sends it

if you use fall detection your robot could call all its friends for help and send the image and address

TUTORIAL HOW TO DO COMPUTER VISION AND MACHINE LEARNING THE BEST WITHOUT WAITING EACH TIME

PART2

ok this is how its done

while True:
   ret, frame = cam.read()
   frame2 = frame
   frame3 = frame
   
   if ret:
       if takephoto == 1:
           takephoto=0
           #take()
           t1 = threading.Thread(target=edgedetection(), args=(4,))
           t2 = threading.Thread(target=persondetection(), args=(4,))
           t3 = threading.Thread(target=facedetection(), args=(4,))
           #t4 = threading.Thread(target=doordetection(), args=(4,))
           t1.start()
           t1.join()
           t2.start()
           t2.join()
           t3.start()
           t3.join()

OK I MESSED UP THAT POST

TUTORIAL HOW TO DO COMPUTER VISION AND MACHINE LEARNING THE BEST WITHOUT WAITING EACH TIME

in here you have a stream of frames it is in a while loop

while True: 
   # Capture frame-by-frame 
   ret, frame = cap.read()

   #add this

   frame1 = frame

   frame2 = frame

   frame3 = frame

TUTORIAL HOW TO DO COMPUTER VISION AND MACHINE LEARNING THE BEST WITHOUT WAITING EACH TIME

in here you have a stream of frames it is in a while loop

while True: 
   # Capture frame-by-frame 
   ret, frame = cap.read()

i still want to get the bits out using something like this or /dev /bin/k230_iomux.py

so i can see other parts of the light spectrum not just visible anyone know electronics and dacs

ok i wrote a python file and found opencv2 is installed i used this i commented the imshow and waitkey as its not implemented im not sure how to display the image im a noob at python but not opencv i dont know if you can write the image to the frame buffer or something to display it so you dont need to compile or add intergrations i can try it tomorrow

import numpy as np 
import cv2 as cv 
 
cap = cv.VideoCapture(3) 
if not cap.isOpened(): 
   print("Cannot open camera") 
   exit() 
while True: 
   # Capture frame-by-frame 
   ret, frame = cap.read() 
 
   # if frame is read correctly ret is True 
   if not ret: 
       print("Can't receive frame (stream end?). Exiting ...") 
       break 
   # Our operations on the frame come here 
   gray = cv.cvtColor(frame, cv.COLOR_BGR2GRAY) 
   # Display the resulting frame 
   #cv.imshow('frame', gray) 
   #if cv.waitKey(1) == ord('q') 
# When everything done, release the capture 
cap.release() 
#cv.destroyAllWindows()

 

to use the cam you must after telnetting in

killall /opt/menu
 

then run this to capture one frame

ffmpeg -f v4l2 -video_size 1280x720 -i /dev/video3 -frames:v 1 photo.jpg
 

or write a python file .py

with this to capture 3 frames from the camera

import ffmpeg

( 
       ffmpeg.input("/dev/video3") 
       .output('frame_%d.png', vframes=3) 
       .run() 
)

now i have a frame i can make a stream and copy the frame to make multiple streams to process then used separate threads to process each stream keeping the live feed on main thread unprocessed

 

Huskylens2 Runs Linux

Get IP: [System settings] [WiFi] shows the ip its connected to

login: root
telnet [husky ip]

[top] shows processes running
kill pid
of /opt/menu
and the other pid

then run /opt/menu
shows what starts up
i found /dev/video3

the device also runs pyhton on it

cat /dev
shows there is a gpio chip

gpiodetect
gpioset
gpioget

dmesg

cat /etc/*release
from buildroot.org

pip install opencv-python
pip install numpy

ls /dev/i2c*

cat /opt/detect_sensor.py