where did you get that BUS cable?

thanks a bunch! i expected if i bought a camera module it would "just work" with my raspberry pi 5

I’m trying to do something similar but with deterrent mechanisms when the pi5 YOLO senses a bird or cat

bro thank you so much, ive been searching all over the internet to get the camera module 3 working with the pi5 but couldn't get it to work. tried your method and BOOM! its working. only problem is the frame rates are super low but as long as its working for my project, Im happy. thanks again

thank u so much. u are genius

im getting this error while trying to download tensorflow note: This error originates from a subprocess, and is likely not a problem with pip. ERROR: Failed building wheel for h5py Failed to build h5py ERROR: ERROR: Failed to build installable wheels for some pyproject.toml based projects (h5py)

Wonderful information. So, 8 months later, I wonder if there is a turn-key RPi5 python-OpenCV installation? Thank you.

I believe this video is very helpful for the PI5 UPS project and also beneficial for Waveshare users. It's impressive to see a creator like you put so much effort into making this video. Waveshare would be delighted to sponsor you with free products. If you have any ideas about incorporating other new Waveshare products in your future videos, I will definitely find ways to support you!

I can’t believe they’re selling the cameras since so many month and it natively not even fully working with their os. So many problems with camera module 3 and rpi 5. Not even the functions in the docs work. Very disappointing

Thank you very much for your explanation, how to add multi-color LEDs that light up for each animal detected.

The image quality is not as good as I expected and in your video it behaves like it is 15fps. Anyone else disappointed in raspi cam 3?

very nice. which camera are you using?

have you tried yolo-nas?

Hi , I want to use a Pi camera . i want to do computer vision to detect finger movement on a virtual keyboard. It should work even in Night . The size of the virtual keyboard would be 18 cm * 13 cm . I will attach the video for the working of keyboard :kzbin.info/www/bejne/oKu7i4l8pqp4aKs Can you check and let me know which is the best , cheap and readily available Pi camera that can be done ? is V3 camera necesary for this working ?

How to record videos in 1080p at 60 fps or 50 fps

You helped me to use conda !

Hi! @Jung I have got a lot of help from your video. But I am getting Low FPS on my yolo model running on raspberry pi 5. Can you Please upload your custom 320 tflite model so that we can get better FPS. We are doing our project and we require faster model. If you can upload it It will be very helpful. Thanks

Do the batteries work without connecting the SCL, SDA and GND pins? I want to do a bigger project and I want to use this UPS to power an arduino with two motors attached

Do I buy 4 gb or 8 gb for object detection only?

Hi Jung. Great video. By following it and the docs in your github repo I was able to get the PyCoral classification example working with the Coral USB Accelerator that I'm using with my Pi 5. I was wondering if you got the PyCoral detection example to run? When I try it I get a segmentation fault with no error message. It runs OK on the CPU if I specify a non-edgeTPU model. I don't know if it's because the model is too large (but then why do they include it) or due to changed quantization requirements for TF2. I'm yet to try Yolov8 192 - maybe I'll have more luck with that.

can you try yolov10 and inference time for each v10 model

Maybe you can use Google Coral?

⚠️ 📢 Question. Im using roboflow on my surface pro 9 and steam deck my model is getting 5fps with this be faster? I need at least 30fps

Can i have a look for the script?

Hii May I have your contact number just to ask for your help, I m currently facing an issue about the webcam object detection is low in fps, so does lower resolution provide higher fps in Raspberry Pi5 ?

Hi bro how to i connect with you i need some help in raspberry pi python camera coding 😢

Key moments 1:46 and 5:35 Good video, but could have used some editing :)

is it compatible with raspberry pi 4 ?

Hello, is there a way to print out the coordinates of the bounding boxes. I'm trying to make a project using this video by trying to create my own model with the same structure as the one you used in the tutorial, but i also want to know the coordinates of the bounding boxes during the live camera. Is there a way to do that?

can i get ur number or email that i cant contact with u

why does this one "bash ~/miniconda3/miniconda.sh -b -u -p ~/miniconda3" not work for me? it just say "bash: /home/hin/miniconda3/miniconda.sh: No such file or directory" i follow u everystep :(

so u dont need to use every code the github provide or how do i know when to use all or just some of it

1:16 Thanks man for highlighting the fact that those camera modules don't work with the RasPi 5, at least a video on that XD but I couldn't find it before on my search XD weird, but ok I already made them ordered the cables of 22 to 15 pins... Btw and FYI: 1:16 yeah that power supply is much better, but I have no warning at all with my power supply charger of my Samsung Galaxy S9+, well it's a new charger I have because the previous one was too old and died (I think from a fall) and this is a simple power supply of 10 W 5V and 15 W 9V, I didn't have any issues at all, it just heats a bit while connected to the RasPi5. Just to let know others in case they cannot get the official power supply. And yeah that is good without the UK connector XD I also made them order (kind of bosses of the project) one and it comes the same just with rounded connectors for the outlets. :)) I'll keep taking a look at your video. Like 274! 2:04 hopefully no man, is a fact it will XD haha they are designed for it ;) 3:54 haha no worries man it happens, but yeah indeed the black thing goes from the side of the supply power, the connectors facing the Ethernet connector. 4:54 they don't blow up, maybe heating up or turning off but not blowing up XD

What do you thing of this example with Rpi5 and coral? It seems that it's enough to detect intrusions (Frigate): kzbin.info/www/bejne/qaCbkJtmerCDjbc

Hi! Thank you for your time and effort making these videos, I have the pi5 and cam module 3, I prepared the environment according to your description on github, and when I try running "python main_picam.py --camera_test" I get the following error "File "/home/berry/Downloads/RPi5_yolov8-main/main_picam.py", line 8, in <module> from picamera2 import Picamera2 ModuleNotFoundError: No module named 'picamera2'" You mentioned about manually copying the picamera2 files to the conda environment, which I did as well. Seems like I am missing the library? I am a beginner using raspberry pi and python.

Sir, how can i contact you? I have some doubts regarding my raspberrypi opencv project.

Hello Mr.. great work Do you have a link to install ultralytics on RPi 4 ?

I am currently trying to do this, yet I have a Raspberry Pi 4. I am assuming you are using Bookworm OS ? In theory it should also work for the RB4 ?

Good job. Make a video to run llm into raspberry pi 5 with coral edge tpu

I wouldn't have figured out how to connect the camera if it wasn't for this video. I thought you had to use some other kind of other connector or electrical tape to get the original cable to work with the adapter 😅

hello, i don't understand about how to use my custom model here

hello awesome tutorial but I am having a problem so I want to ask you if you help me user@raspberrypi:~ $ bash ~/miniconda3/miniconda.sh -b -u -p ~/miniconda3 PREFIX=/home/user/miniconda3 Unpacking payload ... /home/user/miniconda3/miniconda.sh: line 1258: /home/user/miniconda3/_conda: cannot execute: required file not found user@raspberrypi:~ $ I dont know what to do with it

Excellent!

hi jung, I got only 2 fps while using a quantized int8 tflite model with 640x640 in raspberry pi 5. I just follow tflite documentation of TensorFlow. what should i need to do additionally to increase speed?

Greate video... but how can i do the say step with Raspberry Pi 4? I mean the files, i have my wont pretrain model yolov8m , and i want to do object detection using Raspberry pi4

Very helpful video thank you!

I tried running it, but I got always blank output. Do you have something to help? Btw: GREAT!

I'm experiencing the same problem with the cable. Will the camera cable meant for the Raspberry Pi 0 function properly with the Raspberry Pi 5? I've come across a cable identical to the one you're using, but it's labeled as 160FPC instead of 150. What does this number even mean? And more importantly, will it be compatible?

Thanks for sharing this video. Curious why you didn't convert your model to TFLite and quantize it, in order to get faster performance. Please share your thoughts!

Wow. I'm surprised at your results as well. I had high hopes for its output. I just purchased the double TPU and just found out that the hat can only handle one TPU. I hope I find out differently here