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  4. Object Detection YOLOv5 3.1 won't start

Object Detection YOLOv5 3.1 won't start

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  • M Offline
    M Offline
    Member_16294019
    wrote on last edited by
    #1

    Hello, I am trying to run Blue Iris with CP AI Object detection on Windows Server 2022 Datacenter. I am using a Quadro 4000. I have Cuda 10.1 installed and CUDNN files copied into the folders. YOLO5 6.2 installed and is running fine though. I'm only trying to run YOLO5 because I'm reading that it's the only one that works for CUDA 10.1, and that CUDA 10.1 is the only CUDA that works for a Quadro 4000? I'm really not sure about any of this as I'm new to it all. What should I be using, what am I doing wrong? Here's some log info:

    Server version: 2.6.5
    System: Windows
    Operating System: Windows (Microsoft Windows 10.0.20348)
    CPUs: Intel(R) Xeon(R) CPU E5-2609 0 @ 2.40GHz (Intel)
    2 CPUs x 4 cores. 4 logical processors (x64)
    GPU (Primary): (NVIDIA), CUDA: 10.1.105 (up to: ), Compute: , cuDNN: 8.5
    System RAM: 64 GiB
    Platform: Windows
    BuildConfig: Release
    Execution Env: Native
    Runtime Env: Production
    Runtimes installed:
    .NET runtime: 7.0.20
    .NET SDK: 7.0.410
    Default Python: Not found
    Go: Not found
    NodeJS: Not found
    Rust: Not found
    Video adapter info:
    NVIDIA Quadro 4000:
    Driver Version 21.21.13.7783
    Video Processor Quadro 4000
    System GPU info:
    GPU 3D Usage 0%
    GPU RAM Usage 0
    Global Environment variables:
    CPAI_APPROOTPATH = CPAI_PORT = 32168

    -----------------------------------------------------------

    12:22:48:Started Object Detection (YOLOv5 3.1) module
    12:22:50:detect_adapter.py: Traceback (most recent call last):
    12:22:50:detect_adapter.py: File "C:\Program Files\CodeProject\AI\modules\ObjectDetectionYOLOv5-3.1\detect_adapter.py", line 19, in
    12:22:50:detect_adapter.py: from process import YOLODetector, init_detect
    12:22:50:detect_adapter.py: File "C:\Program Files\CodeProject\AI\modules\ObjectDetectionYOLOv5-3.1\process.py", line 14, in
    12:22:50:detect_adapter.py: from models.experimental import attempt_load
    12:22:50:detect_adapter.py: File "C:\Program Files\CodeProject\AI\modules\ObjectDetectionYOLOv5-3.1\models\experimental.py", line 6, in
    12:22:50:detect_adapter.py: from models.common import Conv, DWConv
    12:22:50:detect_adapter.py: File "C:\Program Files\CodeProject\AI\modules\ObjectDetectionYOLOv5-3.1\models\common.py", line 6, in
    12:22:50:detect_adapter.py: from utils.general import non_max_suppression
    12:22:50:detect_adapter.py: File "C:\P

    R S 2 Replies Last reply
    0
    • M Member_16294019

      Hello, I am trying to run Blue Iris with CP AI Object detection on Windows Server 2022 Datacenter. I am using a Quadro 4000. I have Cuda 10.1 installed and CUDNN files copied into the folders. YOLO5 6.2 installed and is running fine though. I'm only trying to run YOLO5 because I'm reading that it's the only one that works for CUDA 10.1, and that CUDA 10.1 is the only CUDA that works for a Quadro 4000? I'm really not sure about any of this as I'm new to it all. What should I be using, what am I doing wrong? Here's some log info:

      Server version: 2.6.5
      System: Windows
      Operating System: Windows (Microsoft Windows 10.0.20348)
      CPUs: Intel(R) Xeon(R) CPU E5-2609 0 @ 2.40GHz (Intel)
      2 CPUs x 4 cores. 4 logical processors (x64)
      GPU (Primary): (NVIDIA), CUDA: 10.1.105 (up to: ), Compute: , cuDNN: 8.5
      System RAM: 64 GiB
      Platform: Windows
      BuildConfig: Release
      Execution Env: Native
      Runtime Env: Production
      Runtimes installed:
      .NET runtime: 7.0.20
      .NET SDK: 7.0.410
      Default Python: Not found
      Go: Not found
      NodeJS: Not found
      Rust: Not found
      Video adapter info:
      NVIDIA Quadro 4000:
      Driver Version 21.21.13.7783
      Video Processor Quadro 4000
      System GPU info:
      GPU 3D Usage 0%
      GPU RAM Usage 0
      Global Environment variables:
      CPAI_APPROOTPATH = CPAI_PORT = 32168

      -----------------------------------------------------------

      12:22:48:Started Object Detection (YOLOv5 3.1) module
      12:22:50:detect_adapter.py: Traceback (most recent call last):
      12:22:50:detect_adapter.py: File "C:\Program Files\CodeProject\AI\modules\ObjectDetectionYOLOv5-3.1\detect_adapter.py", line 19, in
      12:22:50:detect_adapter.py: from process import YOLODetector, init_detect
      12:22:50:detect_adapter.py: File "C:\Program Files\CodeProject\AI\modules\ObjectDetectionYOLOv5-3.1\process.py", line 14, in
      12:22:50:detect_adapter.py: from models.experimental import attempt_load
      12:22:50:detect_adapter.py: File "C:\Program Files\CodeProject\AI\modules\ObjectDetectionYOLOv5-3.1\models\experimental.py", line 6, in
      12:22:50:detect_adapter.py: from models.common import Conv, DWConv
      12:22:50:detect_adapter.py: File "C:\Program Files\CodeProject\AI\modules\ObjectDetectionYOLOv5-3.1\models\common.py", line 6, in
      12:22:50:detect_adapter.py: from utils.general import non_max_suppression
      12:22:50:detect_adapter.py: File "C:\P

      R Offline
      R Offline
      RedDk
      wrote on last edited by
      #2

      CodeProject.AI Discussions[^] Go here for support. Search @ "CUDA" returns nineteen webpages of CP crust and there's gotta be twenty items per page but on that note I'm just guessing.

      1 Reply Last reply
      0
      • M Member_16294019

        Hello, I am trying to run Blue Iris with CP AI Object detection on Windows Server 2022 Datacenter. I am using a Quadro 4000. I have Cuda 10.1 installed and CUDNN files copied into the folders. YOLO5 6.2 installed and is running fine though. I'm only trying to run YOLO5 because I'm reading that it's the only one that works for CUDA 10.1, and that CUDA 10.1 is the only CUDA that works for a Quadro 4000? I'm really not sure about any of this as I'm new to it all. What should I be using, what am I doing wrong? Here's some log info:

        Server version: 2.6.5
        System: Windows
        Operating System: Windows (Microsoft Windows 10.0.20348)
        CPUs: Intel(R) Xeon(R) CPU E5-2609 0 @ 2.40GHz (Intel)
        2 CPUs x 4 cores. 4 logical processors (x64)
        GPU (Primary): (NVIDIA), CUDA: 10.1.105 (up to: ), Compute: , cuDNN: 8.5
        System RAM: 64 GiB
        Platform: Windows
        BuildConfig: Release
        Execution Env: Native
        Runtime Env: Production
        Runtimes installed:
        .NET runtime: 7.0.20
        .NET SDK: 7.0.410
        Default Python: Not found
        Go: Not found
        NodeJS: Not found
        Rust: Not found
        Video adapter info:
        NVIDIA Quadro 4000:
        Driver Version 21.21.13.7783
        Video Processor Quadro 4000
        System GPU info:
        GPU 3D Usage 0%
        GPU RAM Usage 0
        Global Environment variables:
        CPAI_APPROOTPATH = CPAI_PORT = 32168

        -----------------------------------------------------------

        12:22:48:Started Object Detection (YOLOv5 3.1) module
        12:22:50:detect_adapter.py: Traceback (most recent call last):
        12:22:50:detect_adapter.py: File "C:\Program Files\CodeProject\AI\modules\ObjectDetectionYOLOv5-3.1\detect_adapter.py", line 19, in
        12:22:50:detect_adapter.py: from process import YOLODetector, init_detect
        12:22:50:detect_adapter.py: File "C:\Program Files\CodeProject\AI\modules\ObjectDetectionYOLOv5-3.1\process.py", line 14, in
        12:22:50:detect_adapter.py: from models.experimental import attempt_load
        12:22:50:detect_adapter.py: File "C:\Program Files\CodeProject\AI\modules\ObjectDetectionYOLOv5-3.1\models\experimental.py", line 6, in
        12:22:50:detect_adapter.py: from models.common import Conv, DWConv
        12:22:50:detect_adapter.py: File "C:\Program Files\CodeProject\AI\modules\ObjectDetectionYOLOv5-3.1\models\common.py", line 6, in
        12:22:50:detect_adapter.py: from utils.general import non_max_suppression
        12:22:50:detect_adapter.py: File "C:\P

        S Offline
        S Offline
        Sean Ewington
        wrote on last edited by
        #3

        Thanks very much for your report. I don't think I've seen someone test with a Quadro 4000 before. Please try disabling half-precision, see if that helps.

        Thanks, Sean Ewington CodeProject

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