Tensorflow Lite with Object Detection on Raspberry Pi!

Поділитися
Вставка
  • Опубліковано 6 жов 2023
  • 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.freecodecamp.org/news/how...
    Tflite quickstart guide: www.tensorflow.org/lite/guide...
    Object detection repo: github.com/tensorflow/example...
    GLIBCXX fix: stackoverflow.com/questions/7...
  • Наука та технологія

КОМЕНТАРІ • 77

  • @pocketgamer8446
    @pocketgamer8446 8 місяців тому +3

    Thanks A LOT, I've been struggling to setup this for days and your simple tutorial helped me ! :D

  • @elvenkim
    @elvenkim 4 місяці тому +1

    Like your enthusiasm! Keep it up!

  • @tanmayhannikeri4130
    @tanmayhannikeri4130 7 місяців тому

    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 ;)

  • @VinhTran-mq6iz
    @VinhTran-mq6iz 7 місяців тому

    Thanks a lot

  • @valixg7557
    @valixg7557 8 місяців тому +1

    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.😊

  • @BrooksImperial
    @BrooksImperial Місяць тому

    Wow - extremely cool!

  • @vampireheart2596
    @vampireheart2596 26 днів тому

    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)

    • @fifossucrilhos
      @fifossucrilhos 24 дні тому

      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?

    • @vampireheart2596
      @vampireheart2596 24 дні тому

      @@fifossucrilhos search Paul McWhorter on youtube. His tutorial about raspberry pi tensor Flow lesson 63 worked for me

    • @vampireheart2596
      @vampireheart2596 24 дні тому +1

      ​@@fifossucrilhossearch Paul McWhorter on youtube. His tutorial about object detection with tensorflow worked really well for me. It's lesson 63 on his channel

    • @fifossucrilhos
      @fifossucrilhos 24 дні тому +1

      @@vampireheart2596 thank you :)

  • @vasylcf
    @vasylcf 8 місяців тому

    It was interesting, thanks

  • @ahmedakyol8830
    @ahmedakyol8830 2 місяці тому +2

    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

  • @GoyavoCity
    @GoyavoCity 7 місяців тому

    Cool stuff

  • @Jerseylance1
    @Jerseylance1 4 місяці тому +1

    Nice work, but what if you want to use pan&tilt servos to have them follow you?

  • @maysalsayed2343
    @maysalsayed2343 3 місяці тому +1

    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

  • @armenkalaidjian4494
    @armenkalaidjian4494 7 місяців тому +2

    Doesn't work on Debian version: 12 (bookworm). Unable to install tflite_support

  • @benjaminplaczek4763
    @benjaminplaczek4763 9 місяців тому

    Wake up babe new Lazy Tech video dropped

  • @nanaasanteful
    @nanaasanteful Місяць тому

    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?

  • @fajarrevo5200
    @fajarrevo5200 3 місяці тому +1

    how to change image or upload image for detect?

  • @nitinmohariya1002
    @nitinmohariya1002 4 місяці тому

    Hey mate I just want the code to detect person can you suggest me how to modify code for that?

  • @supriobarua53
    @supriobarua53 4 місяці тому +1

    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

  • @nikitagromov9717
    @nikitagromov9717 6 місяців тому

    Sorry, but which RPi do you use? Is this a Raspberry Pi 4 ?

  • @user-ub1gn6zh9z
    @user-ub1gn6zh9z 7 місяців тому

    "RuntimeError: Unable to open file at tree.tflite" ("tree.tflite" is my own custom model") Can you help me?

  • @mohamaddabdoub9527
    @mohamaddabdoub9527 9 місяців тому

    Hi, Could you please do a face recognition tutorial that can detect general faces not just like mine? Thank you very much

  • @maysalsayed2343
    @maysalsayed2343 3 місяці тому

    how can i let it work for pi camera?

  • @dgeorgakopoulos
    @dgeorgakopoulos 5 місяців тому

    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?

    • @k.pradeepkumar968
      @k.pradeepkumar968 5 місяців тому

      @dgeorgakopoulos ,me too facing the same issue ,

    • @maysalsayed2343
      @maysalsayed2343 3 місяці тому

      did you solve it?can you please tell me how😊

  • @GoWithAndy-cp8tz
    @GoWithAndy-cp8tz Місяць тому

    Meaning Raspberry Pi as first release = Rpi 1? Cheers!

  • @yoshithaab7290
    @yoshithaab7290 6 місяців тому

    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!

    • @ManojReddy-xv1sy
      @ManojReddy-xv1sy 5 місяців тому

      I am also having same problem have you completed . If completed please help

    • @yoshithaab7290
      @yoshithaab7290 5 місяців тому

      @@ManojReddy-xv1sy I'm still facing the same issue

    • @aymeneboucha6057
      @aymeneboucha6057 5 місяців тому +2

      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.

    • @yoshithaab7290
      @yoshithaab7290 5 місяців тому

      @@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!

    • @aymeneboucha6057
      @aymeneboucha6057 5 місяців тому +1

      @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

  • @ViciOW2
    @ViciOW2 6 місяців тому

    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.

    • @s.rmishra7176
      @s.rmishra7176 5 місяців тому

      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

    • @s.rmishra7176
      @s.rmishra7176 5 місяців тому

      got the solution man just downgrade the python to 3.7 and it works

    • @aymeneboucha6057
      @aymeneboucha6057 5 місяців тому

      @@s.rmishra7176 which version exactly ? 3.7.2, 3.7.5.. ?

  • @Bengemon825
    @Bengemon825 9 місяців тому

    Whoop whoop

  • @arbelcasquejo2336
    @arbelcasquejo2336 8 місяців тому

    Hi, will this work on python version 3.11?

    • @LazyTech825
      @LazyTech825  8 місяців тому

      I don’t see anything about python 3.11 specifically on the website for tflite, but you can try it!

  • @akshespage5172
    @akshespage5172 Місяць тому +1

    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'

    • @adryanparo2816
      @adryanparo2816 Місяць тому +2

      The same error occurred in my code, were you able to resolve it?

    • @adryanparo2816
      @adryanparo2816 Місяць тому +2

      be able to correct it as follows.
      pip install numpy==1.25.
      python3 detect.py --model efficientdet_lite0.tflite

    • @akshespage5172
      @akshespage5172 28 днів тому

      Thank you

  • @Cyonko
    @Cyonko 6 місяців тому

    @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.

    • @maysalsayed2343
      @maysalsayed2343 3 місяці тому

      did you solve it? can you please tell me how😊

  • @michalekczer
    @michalekczer 7 місяців тому

    Which version of RPi OS do you have? Buster 32 or 64 bit?

    • @LazyTech825
      @LazyTech825  7 місяців тому

      Raspbian 64 bit

    • @kurtvdpoel
      @kurtvdpoel 7 місяців тому

      @@LazyTech825 Do you mean Bullseye? Could you link to the image you used?

  • @revolution322
    @revolution322 6 місяців тому +1

    Thank you for the tutorial! Does anyone faced error "No module named cv2 "?

    • @hanikurdi98
      @hanikurdi98 6 місяців тому +1

      me to

    • @LazyTech825
      @LazyTech825  6 місяців тому

      Do you get that when installing, or when running the code?

    • @hanikurdi98
      @hanikurdi98 6 місяців тому

      @@LazyTech825 when i running the code i already installed the opencv and tensorflow

    • @revolution322
      @revolution322 6 місяців тому

      When running the code using the TF virtual environment. If I run a normal OpenCV python code my libraries are ok. Thx!
      @@LazyTech825

    • @s.rmishra7176
      @s.rmishra7176 6 місяців тому

      running the code
      @@LazyTech825

  • @aminmutalib874
    @aminmutalib874 3 місяці тому

    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?

    • @maysalsayed2343
      @maysalsayed2343 3 місяці тому

      i downgraded the python version for the virtual environment to python 3.7.3, and it worked

    • @vampireheart2596
      @vampireheart2596 26 днів тому

      ​@@maysalsayed2343how did you do that, sir? Please some advice

    • @maysalsayed2343
      @maysalsayed2343 26 днів тому

      @@vampireheart2596 i followed the section of downgrading in this video: ua-cam.com/video/vekblEk6UPc/v-deo.htmlsi=QLmtAOIkg9hzbUVU

  • @shayanajmal4752
    @shayanajmal4752 6 місяців тому

    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!

  • @2FastEdits8
    @2FastEdits8 5 місяців тому +3

    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.

  • @k.pradeepkumar968
    @k.pradeepkumar968 5 місяців тому

    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.

    • @maysalsayed2343
      @maysalsayed2343 3 місяці тому

      did you solve it? can you please tell me how😊

  • @sejongjeon4143
    @sejongjeon4143 8 місяців тому

    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 ??

    • @s.rmishra7176
      @s.rmishra7176 5 місяців тому

      did you get any solutions

    • @s.rmishra7176
      @s.rmishra7176 5 місяців тому

      got the solution
      it doesnt work for picamera only works for usb webcams

  • @respectvideos1929
    @respectvideos1929 8 місяців тому

    bro how can install tensorflow on my raspberrypi

    • @LazyTech825
      @LazyTech825  8 місяців тому +1

      That’s what this video is about??

  • @pocketgamer8446
    @pocketgamer8446 8 місяців тому +1

    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