Tensorflow Lite with Object Detection on Raspberry Pi!
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- čas přidán 20. 08. 2024
- Hey welcome back, Ben again! Today we are looking at how to install and use Tensorflow Lite (tflite) on a raspberry pi and do some simple object detection! This setup is surprisingly straightforward and pretty quick to do!
Make sure to use the links below, especially if you run into the GLIBCXX_3.4.29 issue!
Links and resources:
Virtual environments: www.freecodeca...
Tflite quickstart guide: www.tensorflow...
Object detection repo: github.com/ten...
GLIBCXX fix: stackoverflow....
Thanks A LOT, I've been struggling to setup this for days and your simple tutorial helped me ! :D
Thank you man ! If anyone had the error with GLIBCXX_3.4.29 while testing the code, all you have to do is run the command : python -m pip install --upgrade tflite-support==0.4.2 (downgrade from 0.4.4)
I'm getting the error: ImportError: libwebp.so.6: No such file in directory on line 19 of "detect.py". This is when I try to run the model. Did you come across it?
@@fifossucrilhos search Paul McWhorter on youtube. His tutorial about raspberry pi tensor Flow lesson 63 worked for me
@@fifossucrilhossearch Paul McWhorter on youtube. His tutorial about object detection with tensorflow worked really well for me. It's lesson 63 on his channel
@@vampireheart2596 thank you :)
Like your enthusiasm! Keep it up!
Thank you very much. I tried to Install Tensorflow Lite myself, but failed. Well I had luck that I found your Video. If you have time, can you make a Video were you use a speech AI to regognice the person and when you give him a command, that he do it. Like write "Blabla" or " move", shutdown, etc. Well it would help me in my Projects.😅😅
Thank you very much that you invest so much time doing this things.😊
just a suggestion, while making the video, please fit your interface wherever you are working with the screen, or maybe zoom a bit. Its really difficult to see what you are typing and all for the people who have eye problems like me :D
Hello thanks for information but i have an eror after "sh setup.sh" my setup is raspberry pi 5 and picamera3 how can i fix it
Any results?
Doesn't work on Debian version: 12 (bookworm). Unable to install tflite_support
Wow - extremely cool!
i got problem:
note: This error originates from a subprocess, and is likely not a problem with pip.
ERROR: Failed building wheel for numpy
Failed to build numpy
ERROR: Could not build wheels for numpy, which is required to install pyproject.toml-based projects
may i asking for some help here?
i downgraded the python version for the virtual environment to python 3.7.3, and it worked
@@maysalsayed2343how did you do that, sir? Please some advice
@@vampireheart2596 i followed the section of downgrading in this video: czcams.com/video/vekblEk6UPc/video.htmlsi=QLmtAOIkg9hzbUVU
Sir can you tell me how to do that? @@maysalsayed2343
thanks a lot bro this vidio helped me a lot and I'm really grateful for it. keep doing what your doing.and all the very best in your youtube career ;)
Wake up babe new Lazy Tech video dropped
Hello darling
I keep getting an error when trying to run the sh setup.sh command. Saying that there is an error from a subprocess. Could you help me. Thank You.
did you fix it ?
Downgrading my python version to 3.7.3 fixed it for me. Hope this helps!
ok , what if i want to run ssd mobilenet v2 on raspberry pi? i've watched your video of it but i need to apply it on my raspberry pi
Nice work, but what if you want to use pan&tilt servos to have them follow you?
Thanks a lot
hello sir all the step I did correct at the last step's before is i got the error ''import error: numpy.core.multiarray failed to import'
The same error occurred in my code, were you able to resolve it?
be able to correct it as follows.
pip install numpy==1.25.
python3 detect.py --model efficientdet_lite0.tflite
Thank you
My students have been trying on a number of videos to use a custom model and it seems there's an error with the tflite generated from colab. "RuntimeError: Input tensor has type kTfLiteFloat32: it requires specifying NormalizationOpt ions metadata to preprocess input images." is there a specific version of tflite to generate or what could it be?
It was interesting, thanks
Cool stuff
how to change image or upload image for detect?
Whoop whoop
Hi! I enjoyed your video. Could you please explain if I can transfer the object detection AI implemented by YOLOv8 from colab to tensorflow lite and run it on Arduino?
"RuntimeError: Unable to open file at tree.tflite" ("tree.tflite" is my own custom model") Can you help me?
Hey I've been following the tutorial and when I run "sh setup.sh" like at 5:30 in the video I receive an error:
ERROR: Failed to build wheel for numpy
Failed to build numpy
If I then try to run "python3 detect.py --model efficientdet_lite0.tflite", I receive:
ModuleNotFoundError: No module named 'cv2'
Any help would be appreciated.
im getting the same error the cv2 error gets resolve₫ when i download opencv seperatly but theirs another error and like no tflite-support task found
got the solution man just downgrade the python to 3.7 and it works
@@s.rmishra7176 which version exactly ? 3.7.2, 3.7.5.. ?
I am using a Raspi 3 A+ and a camera module 3 NOIR, at the last step I get an error saying unable to read from webcam. Please verify your webcam settings. Can anyone help me here?
@dgeorgakopoulos ,me too facing the same issue ,
did you solve it?can you please tell me how😊
Sorry, but which RPi do you use? Is this a Raspberry Pi 4 ?
Is 'camera'/'legacy camera' option available under 'interfaces' tab, in raspberry pi 4b+, because our camera is working fine, but we are not able to see that option in 'interfaces' tab, could you please help!
I am also having same problem have you completed . If completed please help
@@ManojReddy-xv1sy I'm still facing the same issue
you don't need it in the latest version, the camera is activated by default, there is no need to go activate it from interfaces.
@@aymeneboucha6057 But, for some projects like object detection, they say we'll have go to the interfaces tab, select that specific port related to pi camera and proceed with other steps...so how to do the same in raspberry pi 4 b, as it doesn't have that option...could you please help!
@yoshithaab7290 yes the camera is enabled by default, if you want the option of legacy camera you need to switch to the bullseye OS ( 32 bits legacy ), and by the way apparently OpenCV is not compatible with the new OS only with 32 bits legacy
Hi there, I have a quick question. I followed everything step by step and it worked really well until the last step. I get the following error when I run the file:
INFO: Created TensorFlow Lite XNNPACK delegate for CPU.
[ WARN:0] global /tmp/pip-req-build-hwenbn4e/opencv/modules/videoio/src/cap_v4l.cpp (1001) tryIoctl VIDEOIO(V4L2:/dev/video0): select() timeout.
ERROR: Unable to read from webcam. Please verify your webcam settings.
I am not sure how to fix this, I am using a raspberrypi4 4gb with the deebian bookworm OS. I downgraded my python version in the examples directory as well to 3.7.3 to match your video.
Any help would be greatly appreciated!
Same for me have you solved it
if you solve it , can you tell us how?
Hi, Could you please do a face recognition tutorial that can detect general faces not just like mine? Thank you very much
Meaning Raspberry Pi as first release = Rpi 1? Cheers!
Hey mate I just want the code to detect person can you suggest me how to modify code for that?
how can i let it work for pi camera?
Sir, will it work for bookworm version?
Thank you for the tutorial! Does anyone faced error "No module named cv2 "?
me to
Do you get that when installing, or when running the code?
@@LazyTech825 when i running the code i already installed the opencv and tensorflow
When running the code using the TF virtual environment. If I run a normal OpenCV python code my libraries are ok. Thx!
@@LazyTech825
running the code
@@LazyTech825
Hi, i finally input that code
python3 detect.py --model efficientdet_lite0.tflite
then
INFO: Created TensorFlow Lite XNNPACK delegate for CPU.
ERROR: Unable to read from webcam. Please verify your webcam settings.
i use raspberry pi camera rev 1.2
do i need to modify the code of detect.py ??
did you get any solutions
got the solution
it doesnt work for picamera only works for usb webcams
Which version of RPi OS do you have? Buster 32 or 64 bit?
Raspbian 64 bit
@@LazyTech825 Do you mean Bullseye? Could you link to the image you used?
Hi, will this work on python version 3.11?
I don’t see anything about python 3.11 specifically on the website for tflite, but you can try it!
@lazyTech Hi thank you very much, pls help I have raspberry pi camera 3. I install everything, but how I can use my camera, thank you.
did you solve it? can you please tell me how😊
Awesome tutorial ,wonderful explanation.....
i am using the raspberry pi 1.3 camera (5MP) instead of the usb web camera and getting the following error any one please help me to resolve the issue ,
python3 detect.py --model efficientdet_lite0.tflite
INFO: Created TensorFlow Lite XNNPACK delegate for CPU.
ERROR: Unable to read from webcam. Please verify your webcam settings.
did you solve it? can you please tell me how😊
bro how can install tensorflow on my raspberrypi
That’s what this video is about??
If someone encounter this error :
INFO: Created TensorFlow Lite XNNPACK delegate for CPU.
qt.qpa.xcb: could not connect to display
qt.qpa.plugin: Could not load the Qt platform plugin "xcb" in "/home/raspberry/examples/env/lib/python3.9/site-packages/cv2/qt/plugins" even though it was found.
This application failed to start because no Qt platform plugin could be initialized. Reinstalling the application may fix this problem.
Available platform plugins are: xcb.
Aborted
Just enter this command and it'll be fixed, it worked for me :
export DISPLAY=:0.0