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Congratulations on creating such a wonderful and useful video! I hope you can provide more examples in the future. I attempted to run the example found on GitHub in the Hailo-Application-Code-Examples-main repository under runtime -> python -> depth_estimation -> stereo_inference_run.py among other files, but I was unable to get it to work. It would be fantastic if you could publish a video demonstrating how to run this example.

[Help] Hello, I'm trying to convert a custom YOLOv8n ONNX model to HEF format on Windows. I've tried several methods but haven't succeeded: 1. Using hailo_ai_sw_suite_2024-10 docker container, I tried: - Direct command line conversion: ```bash hailo parser onnx --input-files /input/best.onnx --output-har /output/model.har hailo optimize --input /output/model.har --output /output/optimized.har --use-random-calib-set hailo compiler --input /output/optimized.har --output /output/ice_pack_detector.hef 2.Using Model Zoo approach: hailomz parse yolov8n hailomz optimize yolov8n hailomz compile yolov8n --hw-arch hailo8 Using DFC Studio web interface: Ran docker with port mapping: docker run -it --rm -p 3000:3000 -v "C:\hailo_temp:/input" -v "C:\hailo_temp:/output" hailo_ai_sw_suite_2024-10:1 Accessed localhost:3000 Created new project but encountered parsing errors with Start/End node configuration I've reviewed the official documentation (which is quite brief) but still can't successfully convert my ONNX model to HEF. Questions: Is there a simpler way to convert ONNX to HEF on Windows? What's the recommended approach for Windows users? Are there any specific requirements or configurations I'm missing? Environment: Windows 10 Docker Desktop YOLOv8n custom model (ONNX format) Hailo AI Suite 2024-10 docker image

Hope we get home assistant integration fingers crossed I just got one to see if I could try to figure it out as a beginner this video helps to get me in the ball park looking forward to frigate integration as it’s also a home assistant integration very exciting stuff

Thanks 🙏 Just set up my pi 5 today 🎉

Can you make a video detailing Hailo8 installed into a Mini PC or PC/server x86 pure Debian platform for a full home Frigate implementation? This is what I'm currently working on. I am currently using Coral TPUs but want to buy Hailo M.2 modules without the Pi hat. Thank you!

hello what command do i use to see the performance of the Hailo module? Like the one found at 4:56 that shows memory usage

Am getting Bus error, anyone know how to solve it

Why do you use Display cable for camera ?

Excellent video.

Wait what is this

YEA BOY

How about a license plate detection project any hope on that?

Not very helpful , I need pytest es tutorial NOW

Very detailed and easy to understand video and a cool product!. Thank you. 1) Will the model recognize a train model on the go? Are you planning to do a video about custom object detection?

I'd like to see a demo of AI kit recognizing hand gestures

robot ++

great tutorial! I'm excited to experiment with my new Pi 5 + AI Kit. Pls make a video tutorial showing step by step how to use a Jupyter Notebook to fine tune and deploy a YOLO model on the RPi AI Kit. I know you've got written documentation but a video is always a welcome addition : )

👍👍

is it real, can you share your code?

can this be run on a pi5 running ubuntu? is there documentation for this?

Can I use an RTSP camera for video feed instead of a USB or RPI camera?

Which model is running on this hardware? Something lkke yolo?

Your video is the best tutorial Ive ever seen. Focused, uniform flow (no time wasted, like watching someone tighten 4 nuts for 90 seconds). Perfectly clear and understandable speaker, no excessive dwelling on sales/products. Was this a professionally managed video (scripted/rehearsals etc) cause it always moved forward. Great job.

Please hire someone from airtasker ! To improve videos and ! It was distracting to watch with a stupid background music

Can this accelerator run games with ray tracing on ?

got my AI Kit today - need to start working out on identifying the objects and creating some models.. Lovely presentation with clear details and explanation. Love how it is presented.

How to use hailo8l for pytesseract on python?

If Hailo want to sell a tons of these, please make more videos and instructions of use case.

This is amazing, I'll be getting one for my rpi5. I want to build a Lego sorter that uses camera vision to identify and sort my son's Lego. I brought a pixycam2 in hopes of an easy short cut but it can only store 7 pesets. Also didn't get an library update when the r4 dropped, not yet anyway (I'm hopeful) Does this product have shape detection? I'm not a software engineer so having libraries or "pipelines" with features to assist in the build would be great help. Lego do a thing with rpi3 so they would probably cross brand with you on an official Lego sorter set. Thats if your looking for more publicity on this product. Thank you for this tutorial and giving makers and hobbyists a cool pi hat for home builds.

Will the AI kit work on Raspberry PI 4 ?

I want to buy your hailo v10 please. I so badly want a pi 5 llama 8 b server!

Good luck trying to buy anything associated with a Pi. I've been trying to build a cm4-IO-board for over two years. Out of stock. Out of stock. Out of stock. No Hailo. Out of stock. Hailo web site also refuses to take orders from people with gmail or outlook. No stock of hailo chip on Pi Hut. Out of stock. Out of stock. Out of stock.

Wait, does the display cable work with the camera module? Cause it didn’t work for me when I mistakingly tried it.

STUPID BACKGROUND MUSIC Will pull the github repo and read it.

Your Model Zoo is cool - but are there any tutorials - how to design-compile-train-deploy a quantized CNN model that will run on your 8l TPU? Or transfer-learning retrain of a pre-trained CNN model at least? Any links will be appreciated.

Is it possible to use a few (3 or 6) of these at an event space to capture the number of visitors at an event (like a trade fair or open house)?

oh yes frigate integration would be awesome!

will the 8L work on x64 machines?

Script kiddie but coding noob (suck at writing but ok with reading, stealing… I mean copying and modifying code) here 😔 How would I go about or where would I even start if I wanted to input a video feed of an office lounge/café area to track and report on the utilisation of each seating group/area to be able to judge how well certain seating arrangements/layouts work for and are accepted/used by staff? Would be awesome to get stats on: people standing/passing through the area vs the ones who sit down for let’s say longer than 30 seconds. And, because “it’s so easy”, why not also have stats on how long the average stay is, whether it’s a single person or two or more people interacting, whether they’re reading, working on a laptop or maybe taking a call. This might tell us if we… have enough space(s), whether they’re the right type (e.g. for groups vs tuck away/quiet-booths), if window with park view or the more distraction free ones are used more, … 🤓

Have you driver for Ubuntu ? I have o nmy rasberi pi ubuntu and your NPU

Would have been good to see it detecting the all the cars and vehicles outside your window live.

i have rasberry pi 5 with hailo but i boot Ubuntu. Can i get hailo driver on this device? or i must reinstal tu rasbery pi OS ?

i'm stuck while running first example : python basic_pipelines/detection.py --input resources/detection0.mp4 ... i'm getting : detection.py", line 12 ModuleNotFoundError: No module named 'hailo'

I got one of these, and it works perfectly with the provided sample apps. However, it has a steep learning curve to start coding something on a Pi to leverage the Hailo kit. It is not suitable for everyone using a Pi unless you are proficient with C++.

love to see it working with network camera aswell as Frigate integration

love to see it working with network camera and have Frigate integration

Great demo. Where can I order it in Israel?

pls remove the background music and re-post cant get audio properly

I want to buy one for my rasperry pi!