thanks for the video, i still have a question though, how do you clone the facial recognition thing from github in the first place after inputting all the commands you have put in the description? i am a bit lost on that please help me out
I like your videos, keeping it simple, I am curious, Could this facial recognition be integrated to the next video's chatgpt chatbot so it can recognise who it is talking to. It would be cool to have something that when you walk in the room it recognises you and asks how you are going, beginning the possibility of a conversation. If it doesn't recognise you it could ask what your name is. I may be getting way ahead of the basic abilities of connecting the two together. ???
Thanks for the good words! I think it can be hard to get to it, but not impossible. There are so many cool APIs and libraries now so you would be surprised how easy these things can be. I will definitely make a vid on this!
Hi! Would it be possible have the Raspberry Pi adjust the exposure so that the face is always properly exposed? If so, any idea how I can achieve this? Thank you!
hi, but where are those python codes you are using in this video? I installed both repo but nothing are there....and why we have to install 2 GitHub repo, i guess is a a bit confused
when i try to run sudo apt install libjpeg-dev libtiff-dev libjasper-dev libpng-dev libwebp-dev libopenexr-dev it shoes me E: Unable to locate package libjasper-dev how do i fix that? running on latest bullseyes(64 bit), everything updated
which version of operating system are you using, Legacy bullseye or bookworm 64 or 32 bit, I'm trying for more than 1 week , and some of the packages are missing and cannot be installed . Thank you
@@thomasthemaker thanks! I am making diy peephole + door lock system, and so I'd like to have a bit more FPS so I can show cam output also on 7' display on doors. If You used pi4 4gb then I guess with pi5 4 gig/8gig it should be quite fluent! Thanks for the response !
Yes you can, there might be some libraries/dependencies missing but whenever a "missing dependency" error pops up, just Google how to install it, and continue with my tutorial.
@@thomasthemaker hi Thomas thank you for your speedy response, I have followed all the steps you have kindly described yet I have no face recognition repo, like yours is lated out, I'm not very good at this unfortunately
@@franklyproducer1 Hi, can you clarify further what do you mean not having face recog repo? At which step (command) did you encounter the error and can you paste the error in here?
Thanks for this. But the issue now is that the new pi camera module V3 only works with picamera2 library. Which doesn't seem to include the PiRGBarray
Great editing man! ill have to try this out for a vid eventually. Nice Kang Statue
Thank you uploading. Could you please get the Raspberry Pi hardware, OS version, Python version, opencv version ? Does 64-bit OS work for you ?
thanks for the video, i still have a question though, how do you clone the facial recognition thing from github in the first place after inputting all the commands you have put in the description? i am a bit lost on that please help me out
isnt this the same codes with core electronics?
Hi, I've installed opencv, but getting errors during cmake.
Which part gives you the "face-recognition" folder that you show in the video?
Thanks
Which algorithm you have used for face recognization
My code needs to use the values from the pickle file so cd myfolder must be used before it can run. Is there a way to write a script run? Please.
I like your videos, keeping it simple, I am curious, Could this facial recognition be integrated to the next video's chatgpt chatbot so it can recognise who it is talking to.
It would be cool to have something that when you walk in the room it recognises you and asks how you are going, beginning the possibility of a conversation.
If it doesn't recognise you it could ask what your name is.
I may be getting way ahead of the basic abilities of connecting the two together. ???
Thanks for the good words! I think it can be hard to get to it, but not impossible. There are so many cool APIs and libraries now so you would be surprised how easy these things can be. I will definitely make a vid on this!
Hi! Would it be possible have the Raspberry Pi adjust the exposure so that the face is always properly exposed? If so, any idea how I can achieve this? Thank you!
That could be done with another ML algorithm or some light sensor
Can you tell me details about detect plastic or bottles??🙏🙏please
Hey there! You can simply import a shitload of plastic bottles & retrain the model
Bro can I do this for a final year project. I need the repos please
Thanks man, you didn't mentioned to clone the actual face_recognition folder?
That's a good point. Thanks man
Give code for the project
"Please"?
hi, but where are those python codes you are using in this video? I installed both repo but nothing are there....and why we have to install 2 GitHub repo, i guess is a a bit confused
I used bullseye 64 bit. Bullseye 32 would work just less efficiently. Bookworm is a mystery to me.
when i try to run sudo apt install libjpeg-dev libtiff-dev libjasper-dev libpng-dev libwebp-dev libopenexr-dev it shoes me E: Unable to locate package libjasper-dev
how do i fix that?
running on latest bullseyes(64 bit), everything updated
Same u found somethings ?
which version of operating system are you using, Legacy bullseye or bookworm 64 or 32 bit, I'm trying for more than 1 week , and some of the packages are missing and cannot be installed . Thank you
he is using buster. I was using bookworm but switching to buster
Hi! Could You tell me what was Pi You used please ? Was it 5 with 8 gig ?
@@SeVeCiK its a pi4 with 4gb of RAM. I think it can be a bit of an overkill
@@thomasthemaker thanks! I am making diy peephole + door lock system, and so I'd like to have a bit more FPS so I can show cam output also on 7' display on doors. If You used pi4 4gb then I guess with pi5 4 gig/8gig it should be quite fluent! Thanks for the response !
@@SeVeCiK glad to help!
I followed every step but I cant find the facial_recognition file please help
pip install face-recognition --no-cache-dir
is there any way to improve the fps?
Can I use Hp Webcam instead of a raspberry Pi camera? Please reply...
You certainly can, most USB camera should work
@@thomasthemaker how about my laptop camera?
Can we use raspberry Pi camera 5 Mp?
@@lakshmans1293 you can!
I want to make a project on vehicle Anti theft system using raspberry Pi and face recognition
Will you help me
First time i am using raspberry Pi
Try looking into motionEye!
raspberry-valley.azurewebsites.net/MotionEye-OS/
Can I used this method on Ubuntu os in Raspberry 4 ? I'm in lab now please reply..brother
Yes you can, there might be some libraries/dependencies missing but whenever a "missing dependency" error pops up, just Google how to install it, and continue with my tutorial.
What facial recognition system did you clone from github please?
I have the github repo clone and all necessary commands in the description section. Let me know if you have any other questions
@@thomasthemaker hi Thomas thank you for your speedy response, I have followed all the steps you have kindly described yet I have no face recognition repo, like yours is lated out, I'm not very good at this unfortunately
Sorry that is mean to say layed out
@@franklyproducer1 Hi, can you clarify further what do you mean not having face recog repo? At which step (command) did you encounter the error and can you paste the error in here?
@@thomasthemaker Thank you for the video, but you did not provide a link to the facial_recognition repo