qengineering/tensorflow_lite_pose_rpi_64-bits

TensorFlow Lite Posenet on bare Raspberry Pi 4 with 64-bit OS at 9.4 FPS

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TensorFlow_Lite_Pose_RPi_64-bits

TensorFlow Lite Posenet running at 9.4 FPS on bare Raspberry Pi 4 with Ubuntu

A fast C++ implementation of TensorFlow Lite Posenet on a bare Raspberry Pi 4 64-bit OS.
Once overclocked to 1825 MHz, the app runs at 9.4 FPS without any hardware accelerator.
Special made for a Raspberry Pi 4 see Q-engineering deep learning examples

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Papers: https://medium.com/tensorflow/real-time-human-pose-estimation-in-the-browser-with-tensorflow-js-7dd0bc881cd5

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Benchmark.

Frame rate Pose Lite : 9.4 FPS (RPi 4 @ 1825 MHz - 64 bits OS)
Frame rate Pose Lite : 5.0 FPS (RPi 4 @ 2000 MHz - 32 bits OS) see 32-OS

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Dependencies.

To run the application, you have to:

• A raspberry Pi 4 with a 64-bit operating system. It can be the Raspberry 64-bit OS, or Ubuntu 18.04 / 20.04. Install 64-bit OS
  
• TensorFlow Lite framework installed. Install TensorFlow Lite
  
• OpenCV 64 bit installed. Install OpenCV 4.5
  
• Code::Blocks installed. ($ sudo apt-get install codeblocks)

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Installing the app.

To extract and run the network in Code::Blocks
$ mkdir MyDir
$ cd MyDir
$ wget https://github.com/Qengineering/TensorFlow_Lite_Pose_RPi_64-bits/archive/refs/heads/master.zip
$ unzip -j master.zip
Remove master.zip and README.md as they are no longer needed.
$ rm master.zip
$ rm README.md

Your MyDir folder must now look like this:
Dance.mp4
posenet_mobilenet_v1_100_257x257_multi_kpt_stripped.tflite
TestTensorFlow_Lite_Pose.cpb
Pose_single.cpp

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Running the app.

Run TestTensorFlow_Lite.cpb with Code::Blocks. More info or
if you want to connect a camera to the app, follow the instructions at Hands-On.
I fact you can run this example on any aarch64 Linux system.

See the movie at: https://www.youtube.com/watch?v=LxSR5JJRBoI

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tensorflow_lite_pose_rpi_64-bits's Issues

camera not working

It is not working with my camera on raspberry pi 4B, the camera I am using using the official pi camera, do you know how to get it working with raspi camera?

cannot find VerifyField<int8_t>

Hello - I did everything follow the instructions from https://qengineering.eu/install-tensorflow-2-lite-on-raspberry-64-os.html
for installing TensorFlow Lite on RPi4B with Bullseye 64-bits OS

Dependencies was fully installed and the C++ installation was successful, after exchanging the old version of flatbuffers and successful compilation, i got two libraries and two folders with header files.

but when i run TestTensorFlow_Lite.cpb with Code::Blocks, comes out the following errors. That VerifyField<int8_t> is missing.

could you please tell me, how can i solve this problem?

/usr/bin/ld: cannot find -ltensorflow-lite

Hello - I did everything follow your instructions for install TensorFlowLite on RPi4 and when I'm trying to build Pose project with code block I'm obtaining this error:

/usr/bin/ld cannot find -ltensorflow-lite

I was looking for a solution but I wasn't able to fix it. Did you maybe have a similar problem or do you have some ideas?

Shared libraries vs Static libraries...

I tried it under virtual Raspbian using VirtualBox