Support Central

I try to use Metis M.2 on Jetson Nano, I followed all the steps to install the board but when I try to run the first example from Voyager-SDK I get the following error:(venv) adrianza@ubuntu:~/voyager-sdk$ ./inference.py yolov5s-v7-coco media/traffic1_1080p.mp42026-02-05 09:54:10.578538286 [W:onnxruntime:Default, device_discovery.cc:164 DiscoverDevicesForPlatform] GPU device discovery failed: device_discovery.cc:89 ReadFileContents Failed to open file: "/sys/class/drm/card1/device/vendor"WARNING : Failed to get OpenCL platforms : clGetPlatformIDs failed: PLATFORM_NOT_FOUND_KHRWARNING : Please check the documentation for installation instructionsINFO : Deploying model yolov5s-v7-coco for 4 cores. This may take a while...|████████████████████████████████████████| 7:53.1 Opening in BLOCKING MODE NvMMLiteOpen : Block : BlockType = 261 NvMMLiteBlockCreate : Block : BlockType = 261 WARNING : capsfilter0: BUS: not nego

Hi,I have 3 axelera metis m2 device. I could not enable update for all of them. I have Voyager SDK 1.5.2 version that installed successfully. When i enter the command “./enable_bootloader_update.sh" it gives an error such as “Device communication timed out” and “Failed to load firmware”. I disabled the IOMMU option in BIOS and disabled the secure boot. My device is seen as “03:00.0 Processing accelerators: Axelera AI Metis AIPU (rev 02)" in the lspci output. Also when i enter the “axdevice” command it says : "[libtriton_linux.c:1313] Device communication timed out: device did not respond within 1 seconds. (0)WARNING: Failed to get valid board type for device metis-0:3:0 got 8Device 0: metis-0:3:0 board_type=unknown (not responding)"How can i solve this problem ? Can you help me ? The full terminal output of the command is that : (venv) ysf@ysf:~/Desktop/voyager-sdk$ ./enable_bootloader_update.shFirmware Flasher - Extracting files...

On an AMD CPU with ubuntu 24.04, I see these warnings. Inference does open, but it seems to render poorly.(venv) my@machine:~/voyager-sdk$ ./inference.py yolov8l-coco-onnx media/traffic1_1080p.mp4 media/traffic1_1080p.mp4 media/traffic1_1080p.mp4 media/traffic1_1080p.mp4INFO    : Could not exec vainfo: Command '['vainfo']' returned non-zero exit status 3.WARNING : Failed to get OpenCL platforms : clGetPlatformIDs failed: PLATFORM_NOT_FOUND_KHRWARNING : Please check the documentation for installation instructionsOpenCL doesn't find any platforms(venv) my@machine:~/voyager-sdk$ clinfoNumber of platforms                               0ICD loader properties  ICD loader Name                                 OpenCL ICD Loader  ICD loader Vendor                               OCL Icd free software  ICD loader Version                              2.3.2  ICD loader Profile

Hi all!I’m currently trying to setup a simple pipeline with yolo pose + tracker.The attached YAML works fine, but how to link the tracker results back to the tracked object?It seems the trackers meta data does not contain any reference to the tracked object from stage 1.I feel like I’ missing something obvious here..axelera-model-format: 1.0.0name: yolo11lpose-coco-trackerdescription: yolo11l pose estimation with ByteTrack trackingpipeline: - keypoint_detections: model_name: yolo11lpose-coco-onnx input: type: image preprocess: - letterbox: height: ${{input_height}} scaleup: true width: ${{input_width}} - torch-totensor: inference: handle_all: false postprocess: - decodeyolopose: box_format: xywh

Hello everyone, I’m trying to install some packages using APT with my Axelera Metis Compute Board with Voyager Linux 1. However the /etc/apt/sources.list is empty. What kind of repositories should I use?Are there any tutorials?Thanks.Best regards

Hello,I created a request from support.axelera.ai and I’m part of a team, how can i gave access to my request to my team?I saw that there is a tab in request “Request I’m CC’d on” so i think there is some implementation for this but i can’t find it anywhere.

Hi,Bit of a weird issue with the M.2 Evaluation System (SBC model AIB-MR1B-A1), and I’m worried it could be a hardware fault. I somehow got to a state where I would see AXR_ERROR_CONNECTION_ERROR: No target device found in lspci output".lspci didn’t show the accelerator card, but instead listed “Non-VGA unclassified device”:00:00.0 PCI bridge: Rockchip Electronics Co., Ltd RK3588 (rev 01)01:00.0 Non-VGA unclassified device: Synopsys, Inc. DWC_usb3 / PCIe bridgedmesg showed:Tue Sep 2 19:51:14 2025] rk-pcie fe170000.pcie: PCIe Linking... LTSSM is 0x3 [Tue Sep 2 19:51:16 2025] rk-pcie fe170000.pcie: PCIe Link Fail [Tue Sep 2 19:51:16 2025] rk-pcie fe170000.pcie: failed to initialize hostAfter trying a few things, I resorted to re-imaging the SBC. Then, on the first log-in from adb shell,

Thank you for your continued support.Could you please tell me the performance (fps) under the following conditions?1. METIS COMPUTE BOARD2. YOLOv8n model3. USB WEB CAMERA (1080P@60FPS)Thank you in advance.

Hello,I'm using the Metis M.2 accelerator with Aetina board, and I'm using Voyager SDK 1.4.0. I've been able to use the Metis M.2 card by issuing a reboot after resets, and that's good enough to work with for now. My code and model has been coming along, but I've got to the stage where I now wish to combine the models, to have a 2-stage pipeline.The aim is to have:(a) vehicle detection, followed by(b) license plate detection.  For (a), I'm using an existing detector (supplied with the SDK), which is yolov5m-v7-coco-tracker and I can successfully extract bounding box co-ords and images just as a test.For (b), I'm using a model I had to compile from ONNX format (using compile -i) The above is fine so far, but now I'm trying to chain them into a single vehicles-then-plates.yaml file, and that's unsuccessful. When I type ./deploy vehicle

Hello,I am having a hard time finding the source code of the metis-dkms.The one git repo I found as vcs.url does not exist publicly (https://github.com/axelera-ai/software-platform) I would love to have the sources because I need a rpm instead of deb-package. Cheers Tim

Are you planning on launching an iOS/Android app for this community? So far I’ve been on desktop but coming in from mobile would be a good option to have too.