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Hi,I'm having trouble installing the metis-dkms driver. Can you help me?The device is a NanoPC-T6 from Friendly Elec, and the operating system is Ubuntu 22.04, also provided by Friendly Elec.I'm leaving the error message and OS information below. If there is any more information I should provide, please let me know. Thank you. The Error:$ sudo dpkg -i metis-dkms_0.07.16_all.deb(Reading database ... 155441 files and directories currently installed.)Preparing to unpack metis-dkms_0.07.16_all.deb ...Deleting module metis-0.07.16 completely from the DKMS tree.Unpacking metis-dkms (0.07.16) over (0.07.16) ...Setting up metis-dkms (0.07.16) ...Loading new metis-0.07.16 DKMS files...Building for 6.1.99Building for architecture aarch64Building initial module for 6.1.99ERROR (dkms apport): kernel package linux-headers-6.1.99 is not supportedError! Bad return status for module build on kernel: 6.1.99 (aarch64)Consult /var/lib/dkms/metis/0.07.16/build/make.log for more information.dpkg: error pro

1427

2 hours ago

mcunhaCadet

Project Challenge: Recognize & React

Summer Sidekick: Your essential summer companion for plants and pets (Pioneer10 project)

Hi everyone,I am Marcos, a software engineer who has worked primarily in embedded systems across South America and Europe. I am currently based in Toulouse, France.What am I building?I am building a smart summer assistant called "Summer Sidekick" that uses Vision AI to help summer travelers manage the feeding of their pets and plants while they are away. This system ensures that pets and plants are fed properly and on time, allowing users to enjoy their vacation without worry. The entire system will be composed of actuators to trigger the food and water dispensers. For pets, AI algorithms will detect the pet's presence and food and water levels. For plants, their health will be monitored, as well as ensuring their water needs are met.Why does this project matter to me?Some summer travels can turn into a nightmare when organizing care for your companions (plants and pets) while you are away. Especially this summer, I will need to travel for almost 40 days far from home, and currently, t

653

2 days ago

moorebrett0Cadet

Project Challenge: Recognize & React

Elderly Guardian (My Pioneer 10 Project Challenge)

Hi everyone!My name is Brett, I am a full-time single dad, assistant soccer and softball coach, and software engineer based out of Portland, Oregon.For the Project Challenge, I’m building an AI-powered safety and wellness monitoring system for seniors living independently. The Elderly Safety Guardian will use computer vision with the Metis AI Accelerator to detect falls or unusual inactivity, and then check in with the resident through Alexa, turn on lights, and alert caregivers if needed. My goal is to give families peace of mind while helping elderly loved ones stay safe at home.This project matters to me because I’ve seen how difficult it can be for families to balance a loved one’s independence with their safety, especially as they get older. I want to create a solution that bridges that gap, empowering seniors to live confidently while still having support when it’s needed most.To start, I’ll be setting up the camera hardware and building out local fall and inactivity detection wi

1754

2 days ago

llrdsCadet

Project Challenge: Recognize & React

When can we expect hardware ship?

it will help with planning tasks and meeting the project deadline

141

2 days ago

llrdsCadet

Project Challenge: Recognize & React

Porting from OpenCV (Pioneer 10 - Brobot)

Hi All,I’ve got a PoC running using OpenCV+M1 Mac while I wait for my Metis hardware. In preparation for the kit arrival, I want to plan the porting process and get ahead on refracturing so I can compare the performance. I plan to use inferenceStream with Python to keep it really simple.Any experience here going from OpenCV to Voyager? Is it a drop in replacement or are they used in parallel?If there is a better development environment than OpenCV i’d be glad to hear it - my application is taking shape so I want to make sure I do not stray to far down the wrong path!

152

3 days ago

SpannerAxelera Team

Project Challenge: Recognize & React

🎉 The Pioneer 10 Have Been Selected! 🚀

We’re thrilled to finally unveil the 10 incredible projects selected to receive an Axelera AI Project Kit and bring their AI innovation to life. It took a bit of time to finalise the list (all the ideas we received were genuinely that good 😅), but the wait is over…Here are the projects we’re proud to support through the building phase of the challenge:🦾@llrds - BroBot: Real-time pose feedback and training assistant using vision AI. 🌿@mcunha - Summer Sidekick: AI-powered pet and plant sitter with real-time care automation. 👵@moorebrett0 - Elderly Safety Guardian: Detects falls and alerts caregivers with Alexa and lights. 🎙️@skroedel - See and Hear: Visually guided microphone that focuses on the active speaker. 🚪@hmsbAXL - Intelligent Low-Cost Door Surveillance System: Ring-style face recognition doorbell with local inference. 💧@farouqfahm - DrainSentinel: Detects drain blockages and alerts Lagos sanitation authorities. 🚤@saadtiwana - Sauron – The Intelligent Gimbal: Track

1872

3 days ago

llrdsCadet

Project Challenge: Recognize & React

Brobot - AI Gym Buddy (Pioneer 10 Project)

Hi Everyone! Great reading all of the other excellent ideas for the pioneer 10 project. A big thank you to Axelera for creating this challenge.My project is for an AI powered gym buddy, which i’ve decided Brobot is a sensible name…When doing gym workouts, its common to aim for 10 repetitions of a movement. If you want to progress the last reps should be a struggle. If it’s not you should push some more reps, or next time add more resistance/weight. That is how you get better over time. It’s called progressive overload.Just last week, I pushed to much and pulled something in my neck while doing overhead press (pressing two dumbells above my head). It would have been clear in a mirror by body was twisting and straining to push the reps - this is bad form and is a too common cause of injury.A trainer would have told me to stop pushing because the form was bad.I think it’s totally feasible to have a camera watching the movements, checking form with pose models, then giving the user some fe

735

3 days ago

jjprCadet

Metis PCIe

Enabling Metis PCIe on RISC-V host, some low level memory problems

Hi all,I am trying to enable the the usage of the Metis PCIE rev02 on RISC-V Hosts, in particular the Sifive P550. Currently I could successfully (at least I think so), install the drivers and the device gets correctly identified and mapped in the system. I attach the loggings just to be sure: dmesg (after rescan):[ 858.500785] pci 0000:01:00.0: [1f9d:1100] type 00 class 0x120000[ 858.500843] pci 0000:01:00.0: reg 0x10: [mem 0x04380000-0x04380fff 64bit][ 858.500865] pci 0000:01:00.0: reg 0x18: [mem 0x08000000-0x09ffffff][ 858.500922] pci 0000:01:00.0: reg 0x30: [mem 0x00000000-0x0000ffff pref][ 858.500943] pci 0000:01:00.0: Max Payload Size set to 512 (was 128, max 512)[ 858.501115] pci 0000:01:00.0: supports D1[ 858.501121] pci 0000:01:00.0: PME# supported from D0 D1 D3hot[ 858.516166] pci_bus 0000:01: busn_res: [bus 01] end is updated to 01[ 858.516197] pcieport 0000:00:00.0: BAR 14: assigned [mem 0x42000000-0x44ffffff][ 858.516209] pci 0000:01:00.0: BAR 2: assigned [mem 0x

262

3 days ago

lorenzo.lambertiCadet

Voyager SDK

Voyager-sdk on singularity

Dear all, I am trying to set up the metis PCIe accelerator on a intel workstation. Later we will move to a full risc-v embedded setup.In out lab workstation we are forced to use singularity instead of docker, so i am trying to translate the docker container into a singularity one.I think i am very close to make everything work. However, i am now stuck with a problem i can’t figure how to solve. in particular, i get a weird error when i try to run a simple ./inference.py with one of the pre-trained models. Below the full description on how i create, run the container, and how i run the example from the voyager sdk my `voyager-sdk-1.2.5.def` fileBootstrap: dockerFrom: ubuntu:22.04%labels Author You Version voyager-sdk-1.2.5%environment export DISPLAY=$DISPLAY%post apt-get update && apt-get install -y \ sudo \ git \ pciutils \ lsb-release \ x11-utils curl \ wget \ gnupg2 \ lsb-release \ software-prop

524

3 days ago

maximiliankirCadet

Voyager SDK

Yolo Performance Issues

Hello, I try to use a YOLO model on 8 camera streams in parallel on the Metis PCIe card. 20-30 fps per camera stream is all I need. With the 548 fps end-to-end stated for YOLOv8s in https://axelera.ai/metis-aipu-benchmarks, it should be possible to reach ~68 fps per camera. As a small test I wrote a python script, which creates a inference stream with 8 videos as input:from axelera.app import config, display, inf_tracersfrom axelera.app.stream import create_inference_streamdef run(window, stream): for frame_result in stream: window.show(frame_result.image, frame_result.meta, frame_result.stream_id) fps = stream.get_all_metrics()['end_to_end_fps'] print(fps.value)def main(): tracers = inf_tracers.create_tracers('core_temp', 'end_to_end_fps', 'cpu_usage') stream = create_inference_stream( network="yolov5s-v7-coco", sources=[ str(config.env.framework / "media/traffic1_1080p.mp4"), str(config.env.framework / "media/traffic1_

1207

3 days ago

ku15921Cadet

Metis M.2

Error installing metis-dkms

1427

2 hours ago

llrdsCadet

Project Challenge: Recognize & React

When can we expect hardware ship?

it will help with planning tasks and meeting the project deadline

141

2 days ago

jjprCadet

Metis PCIe

Enabling Metis PCIe on RISC-V host, some low level memory problems

262

3 days ago

lorenzo.lambertiCadet

Voyager SDK

Voyager-sdk on singularity

524

3 days ago

maximiliankirCadet

Voyager SDK

Yolo Performance Issues

1207

3 days ago

SpannerAxelera Team

LLMs, NLP, Neural Networks

Which models are you using with Metis? Or want to use.

I’m interested in hearing from everyone here about which models you’re successfully using with your Metis device and Voyager SDK, and which ones you’d like to see being officially supported.This could be really useful info in terms of prioritisation when it comes to adding more support in the model zoo.

4 days ago

mgrunerCadet

Metis M.2

Low performance of the Metis M2 on the Raspberry Pi5

Hi! I'm testing the Metis M2 on a Rapsberry Pi 5 using the Ubuntu 22.04 container. I can successfully get results using the inference test suggested by the article:./inference.py yolov8s-coco-onnx ./media/traffic1_480p.mp4 Unfortunately, I get around 4FPS. Is this expected? If I profile the device and the host separately (using --show-host-fps and --show-device-fps) I see that the device is running at ~800FPS while the host is the one bottlenecking at ~4FPS.I tried enabling GLES processing using export AXELERA_OPENGL_BACKEND=gles,3,1but, unfortunately, it makes not much of a difference. I also tried setting the PCI to gen3 by setting the following in the /boot/firmware/config.txt, without any luck:dtparam=pciex1_gen=3As a reference: these are the instructions I'm following:- https://support.axelera.ai/hc/en-us/articles/26362016484114-Bring-up-Voyager-SDK-in-Raspberry-Pi-5- https://support.axelera.ai/hc/en-us/articles/25953148201362-Install-Voyager-SDK-in-a-Docker-ContainerIs this perfo

301

6 days ago

saitejajampulaCadet

The Axelera Forum

Anyone Tried Running Axelera with ROS 2? Facing video_infer Output Issue

Hi Axelera Community,Has anyone here successfully run the Axelera Voyager SDK with ROS 2? I’m currently working on integrating the video_infer node with ROS 2 and would really appreciate hearing from anyone who has tried this setup.My Setup: Hardware: Aetina board SDK Version: voyager-sdk v1.2.5 ROS 2: Humble (on Ubuntu 22.04) Python: 3.10 (using a virtual environment) Model Used: yolov5s-v7-coco Inference Server:python3 inference_server.py yolov5s-v7-coco none --port 50051 --no-display ROS 2 Node:ros2 run axelera_infer video_infer What’s Working: The inference server starts successfully and shows: Server started, listening on 50051 INFO : Using device metis-0:1:0 The ROS2 node launches and shows: [INFO] [video_infer_node]: Starting video inference node... [INFO] [video_infer_node]: Sending inference request... [INFO] [video_infer_node]: StreamInfer started successfully No errors are thrown on either side. Problem: The stream only seems to run a few frames: Stream Playing

895

6 days ago

saraEnsign

Voyager SDK

inference on a frame obtained from the memory space

Hi again @Spanner ! 😊I need to infer an image obtained from byte data stored in a memory space (https://docs.python.org/3/library/mmap.html) and after converting the bytes I get an image.I've seen the sources available for create_inference_stream and I know that I can make inferences to images (https://github.com/axelera-ai-hub/voyager-sdk/blob/release/v1.2.5/docs/tutorials/application.md), but I have to specify the/path/to/file. But in this case I won't have that information.In the code I'll have this line where I read the bytes in the memory space: frame_size=image_width*image_height*3 //RGB frame_bytes = mm.read(frame_size)And then I get the new image: frame = np.frombuffer(frame_bytes,dtype=np.uint8).reshape((image_height,image_width, 3))Is there any way to infer “frame”?Thank you!

1669

6 days ago

ma926Cadet

Metis M.2

Metis M.2 1.3.0 firmware upgrade

Hi! I wanted to upgrade my M.2 card with latest firmware 1.3.0 but when trying to invoke command from instruction https://github.com/axelera-ai-hub/voyager-sdk/blob/release/v1.3/docs/tutorials/firmware_flash_update.md#flash-the-board-controller-firmware, I got an error:Do you know how this can be resolved? I’m using Intel i5 processor.

321

6 days ago

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Error installing metis-dkms

When can we expect hardware ship?

Enabling Metis PCIe on RISC-V host, some low level memory problems

Voyager-sdk on singularity

Yolo Performance Issues

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