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face-detection-raspberry-pi-32-64-bits's Introduction

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YoloCam

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A Raspberry Pi 4, 3 or Zero 2, with stand-alone AI object recognition, browser-based live streaming, email, cloud storage, GPIO and URL event triggers.

YoloIP

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A Raspberry Pi 4 or 5, with stand-alone AI, supports multiple IP surveillance cameras.

Table of Contents

output image Raspberry Pi 4 Bullseye 64-bit OS with several frameworks and deep-learning examples

output image Raspberry Pi 4 Buster 64-bit OS with several frameworks and deep-learning examples

output image Raspberry Pi Zero 2 W 64-bit OS image with OpenCV, TensorFlow Lite and ncnn

output image Banana Pi M2 Zero image with OV5640 camera and OpenCV

output image Rock 5 with OpenCV, TNN, ncnn and NPU

output image Rock 5 with Ubuntu 22.04, OpenCV, ncnn and NPU

output image Radxa Zero 3 with Ubuntu 22.04, OpenCV, ncnn and NPU

output image A Jetson Nano image with OpenCV, TensorFlow and PyTorch

output image A Jetson Nano - Ubuntu 20.04 image with OpenCV, TensorFlow and PyTorch

  • Applications

output image RPi z2, 3 or 4 motion surveillance camera with email notification and gdrive storage

output image YoloCam, the cheapest AI-powered camera with email notification, gdrive storage and GPIO output

output image YoloIP, the cheapest AI-powered machine, supports multiple IP surveillance cameras

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face-detection-raspberry-pi-32-64-bits's Issues

Syntax error: EOF in backquote substitution in projects from Qengineering

Hello. I'm new at the raspberry 4 and trying to start with some projects from Qengineering. I tried the deeplearning examples on https://qengineering.eu/opencv-c-examples-on-raspberry-pi.html
https://qengineering.eu/deep-learning-examples-on-raspberry-32-64-os.html#HandsOn

In both i get the same error:
/bin/sh: 1: Syntax error: EOF in backquote substitution

It would make my raspberry start much easier if someone could help me fixing this error.
Thank you!

Performance

Hii Does MNN run faster than NCNN on small network?

ncnn install on RPi4 Bullseye 32bit

Hi Qengineering,
I need your help understanding this issue when running make -j4 under ncnn/build:

/usr/bin/ld: ../src/libncnn.a(cpu.cpp.o): undefined reference to symbol 'dlopen@@GLIBC_2.4'

Thank you!!

Error at /source/backend/cpu/arm/arm64/MNNVectorTop1Float.S.o

Hi, greetings. I'm trying to compile MNN into Ubuntu 20.04 LTS running on Raspberry PI 4B and getting the following error:

[ 22%] Building ASM object CMakeFiles/MNNARM64.dir/source/backend/cpu/arm/arm64/MNNVectorTop1Float.S.o
/opt/mnn/MNN/source/backend/cpu/arm/arm64/MNNVectorTop1Float.S: Assembler messages:
/opt/mnn/MNN/source/backend/cpu/arm/arm64/MNNVectorTop1Float.S:35: Error: operand mismatch -- `mov v28.4s,v29.4s'
/opt/mnn/MNN/source/backend/cpu/arm/arm64/MNNVectorTop1Float.S:35: Info: did you mean this?
/opt/mnn/MNN/source/backend/cpu/arm/arm64/MNNVectorTop1Float.S:35: Info: mov v28.8b, v29.8b
/opt/mnn/MNN/source/backend/cpu/arm/arm64/MNNVectorTop1Float.S:35: Info: other valid variant(s):
/opt/mnn/MNN/source/backend/cpu/arm/arm64/MNNVectorTop1Float.S:35: Info: mov v28.16b, v29.16b
make[2]: *** [CMakeFiles/MNNARM64.dir/build.make:383: CMakeFiles/MNNARM64.dir/source/backend/cpu/arm/arm64/MNNVectorTop1Float.S.o] Error 1
make[1]: *** [CMakeFiles/Makefile2:597: CMakeFiles/MNNARM64.dir/all] Error 2
make[1]: *** Waiting for unfinished jobs....

Anyone know what could be happening?

RPi 3 performance

I have not tested this yet, but I was wondering if you managed to compile and run this on a Pi 3/3B/3B+?

Unrelated question: do you know whether the model would perform the same in low light conditions or when using night vision cameras? In these cases sometimes the hue will be shifted.

Thank you.

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