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您好,我似乎无法通过 AI 对象检测项目来启用我新安装的 Tesla T4。 知道我做错了什么吗? YOLOv5没有启用GPU的选项,只有CPU显示。
17:57:27:System: Windows 17:57:27:Operating System: Windows (Microsoft Windows 10.0.19045) 17:57:27:CPUs: Intel(R) Core(TM) i5-3570 CPU @ 3.40GHz (Intel) 17:57:27: 1 CPU x 4 cores. 4 logical processors (x64) 17:57:27:GPU (Primary): Tesla P4 (8 GiB) (NVIDIA) 17:57:27: Driver: 551.61, CUDA: 12.4 (up to: 12.4), Compute: 6.1, cuDNN: 8.9 17:57:27:System RAM: 16 GiB 17:57:27:Platform: Windows 17:57:27:BuildConfig: Release 17:57:27:Execution Env: Native 17:57:27:Runtime Env: Production 17:57:27:Runtimes installed: 17:57:27: .NET runtime: 7.0.10 17:57:27: .NET SDK: Not found 17:57:27: Default Python: Not found 17:57:27: Go: Not found 17:57:27: NodeJS: Not found 17:57:27:App DataDir: C:\ProgramData\CodeProject\AI 17:57:27:Video adapter info: 17:57:27: Intel(R) HD Graphics: 17:57:27: Driver Version 10.18.10.4425 17:57:27: Video Processor Intel(R) HD Graphics Family 17:57:27: NVIDIA Tesla P4: 17:57:27: Driver Version 31.0.15.5161 17:57:27: Video Processor 17:57:27:STARTING CODEPROJECT.AI SERVER 17:57:27:RUNTIMES_PATH = C:\Program Files\CodeProject\AI\runtimes 17:57:27:PREINSTALLED_MODULES_PATH = C:\Program Files\CodeProject\AI\preinstalled-modules 17:57:27:MODULES_PATH = C:\Program Files\CodeProject\AI\modules 17:57:27:PYTHON_PATH = \bin\windows\%PYTHON_NAME%\venv\Scripts\python 17:57:27:Data Dir = C:\ProgramData\CodeProject\AI 17:57:27:Server version: 2.5.6 17:57:33:Server: This is the latest version 18:10:11:Preparing to install module 'ObjectDetectionYOLOv5-3.1' 18:10:11:Downloading module 'ObjectDetectionYOLOv5-3.1' 18:10:11:Installing module 'ObjectDetectionYOLOv5-3.1' 18:10:11:ObjectDetectionYOLOv5-3.1: Installing CodeProject.AI Analysis Module 18:10:11:ObjectDetectionYOLOv5-3.1: ====================================================================== 18:10:11:ObjectDetectionYOLOv5-3.1: CodeProject.AI Installer 18:10:11:ObjectDetectionYOLOv5-3.1: ====================================================================== 18:10:12:ObjectDetectionYOLOv5-3.1: 140.9Gb of 227Gb available on OS 18:10:12:ObjectDetectionYOLOv5-3.1: General CodeProject.AI setup 18:10:12:ObjectDetectionYOLOv5-3.1: Creating Directories...Done 18:10:12:ObjectDetectionYOLOv5-3.1: GPU support 18:10:12:ObjectDetectionYOLOv5-3.1: CUDA Present...Yes (CUDA 11.8, cuDNN 8.9) 18:10:12:ObjectDetectionYOLOv5-3.1: ROCm Present...No 18:10:16:ObjectDetectionYOLOv5-3.1: Reading ObjectDetectionYOLOv5-3.1 settings.......Done 18:10:16:ObjectDetectionYOLOv5-3.1: Installing module Object Detection (YOLOv5 3.1) 1.9.1 18:10:16:ObjectDetectionYOLOv5-3.1: Installing Python 3.7 18:10:16:ObjectDetectionYOLOv5-3.1: Python 3.7 is already installed 18:10:26:ObjectDetectionYOLOv5-3.1: Creating Virtual Environment (Local)...Done 18:10:26:ObjectDetectionYOLOv5-3.1: Confirming we have Python 3.7 in our virtual environment...present 18:10:27:ObjectDetectionYOLOv5-3.1: Downloading Standard YOLOv5 models...already exists...Expanding...Done. 18:10:27:ObjectDetectionYOLOv5-3.1: Copying contents of models-yolo5-31-pt.zip to assets...done 18:10:28:ObjectDetectionYOLOv5-3.1: Downloading Custom YOLOv5 models...already exists...Expanding...Done. 18:10:28:ObjectDetectionYOLOv5-3.1: Copying contents of custom-models-yolo5-31-pt.zip to custom-models...done 18:10:28:ObjectDetectionYOLOv5-3.1: Installing Python packages for Object Detection (YOLOv5 3.1) 18:10:28:ObjectDetectionYOLOv5-3.1: [0;Installing GPU-enabled libraries: If available 18:10:29:ObjectDetectionYOLOv5-3.1: Ensuring Python package manager (pip) is installed...Done 18:10:41:Response timeout. Try increasing the timeout value 18:10:45:ObjectDetectionYOLOv5-3.1: Ensuring Python package manager (pip) is up to date...Done 18:10:45:ObjectDetectionYOLOv5-3.1: Python packages specified by requirements.windows.cuda11.txt 18:10:56:ObjectDetectionYOLOv5-3.1: - Installing OpenCV, the Open source Computer Vision library...(checked) Done 18:11:02:ObjectDetectionYOLOv5-3.1: - Installing the Cython compiler for C extensions for the Python language....(checked) Done 18:11:06:ObjectDetectionYOLOv5-3.1: - Installing Pillow, a Python Image Library...(checked) Done 18:11:26:ObjectDetectionYOLOv5-3.1: - Installing SciPy, a library for mathematics, science, and engineering...(checked) Done 18:11:29:ObjectDetectionYOLOv5-3.1: - Installing PyYAML, a library for reading configuration files...(checked) Done 18:11:32:ObjectDetectionYOLOv5-3.1: - Installing TDQM, the Fast, Extensible Progress Meter...(checked) Done 18:11:53:ObjectDetectionYOLOv5-3.1: - Installing Matplotlib, the Python plotting package...(checked) Done 18:13:57:ObjectDetectionYOLOv5-3.1: - Installing PyTorch, an open source machine learning framework...(checked) Done 18:16:28:ObjectDetectionYOLOv5-3.1: - Installing TorchVision, for working with computer vision models...(checked) Done 18:16:28:ObjectDetectionYOLOv5-3.1: Installing Python packages for the CodeProject.AI Server SDK 18:16:29:ObjectDetectionYOLOv5-3.1: Ensuring Python package manager (pip) is installed...Done 18:16:32:ObjectDetectionYOLOv5-3.1: Ensuring Python package manager (pip) is up to date...Done 18:16:32:ObjectDetectionYOLOv5-3.1: Python packages specified by requirements.txt 18:16:33:ObjectDetectionYOLOv5-3.1: - Installing Pillow, a Python Image Library...Already installed 18:16:34:ObjectDetectionYOLOv5-3.1: - Installing Charset normalizer...Already installed 18:16:41:ObjectDetectionYOLOv5-3.1: - Installing aiohttp, the Async IO HTTP library...(checked) Done 18:16:45:ObjectDetectionYOLOv5-3.1: - Installing aiofiles, the Async IO Files library...(checked) Done 18:16:48:ObjectDetectionYOLOv5-3.1: - Installing py-cpuinfo to allow us to query CPU info...(checked) Done 18:16:49:ObjectDetectionYOLOv5-3.1: - Installing Requests, the HTTP library...Already installed 18:17:04:ObjectDetectionYOLOv5-3.1: Self test: Self-test passed 18:17:04:ObjectDetectionYOLOv5-3.1: Module setup time 00:06:51.89 18:17:04:ObjectDetectionYOLOv5-3.1: Setup complete 18:17:04:ObjectDetectionYOLOv5-3.1: Total setup time 00:06:52.92 18:17:04:Module ObjectDetectionYOLOv5-3.1 installed successfully. 18:17:04:Module ObjectDetectionYOLOv5-3.1 not configured to AutoStart. 18:17:04:Installer exited with code 0 18:20:21:Update ObjectDetectionYOLOv5-3.1. Setting AutoStart=true 18:20:21:Restarting Object Detection (YOLOv5 3.1) to apply settings change 18:20:21: 18:20:21:Module 'Object Detection (YOLOv5 3.1)' 1.9.1 (ID: ObjectDetectionYOLOv5-3.1) 18:20:21:Valid: True 18:20:21:Module Path: <root>\modules\ObjectDetectionYOLOv5-3.1 18:20:21:AutoStart: True 18:20:21:Queue: objectdetection_queue 18:20:21:Runtime: python3.7 18:20:21:Runtime Loc: Local 18:20:21:FilePath: detect_adapter.py 18:20:21:Pre installed: False 18:20:21:Start pause: 1 sec 18:20:21:Parallelism: 0 18:20:21:LogVerbosity: 18:20:21:Platforms: all,!macos-arm64 18:20:21:GPU Libraries: installed if available 18:20:21:GPU Enabled: enabled 18:20:21:Accelerator: 18:20:21:Half Precis.: enable 18:20:21:Environment Variables 18:20:21:APPDIR = <root>\modules\ObjectDetectionYOLOv5-3.1 18:20:21:DATA_DIR = C:\ProgramData\CodeProject\AI 18:20:21:MODE = MEDIUM 18:20:21:MODELS_DIR = <root>\modules\ObjectDetectionYOLOv5-3.1\assets 18:20:21:PROFILE = desktop_gpu 18:20:21:TEMP_PATH = <root>\modules\ObjectDetectionYOLOv5-3.1\tempstore 18:20:21:USE_CUDA = True 18:20:21:YOLOv5_VERBOSE = false 18:20:21: 18:20:21:Started Object Detection (YOLOv5 3.1) module
Module 'Object Detection (YOLOv5 3.1)' 1.9.1 (ID: ObjectDetectionYOLOv5-3.1) Valid: True Module Path: <root>\modules\ObjectDetectionYOLOv5-3.1 AutoStart: True Queue: objectdetection_queue Runtime: python3.7 Runtime Loc: Local FilePath: detect_adapter.py Pre installed: False Start pause: 1 sec Parallelism: 0 LogVerbosity: Platforms: all,!macos-arm64 GPU Libraries: installed if available GPU Enabled: enabled Accelerator: Half Precis.: enable Environment Variables APPDIR = <root>\modules\ObjectDetectionYOLOv5-3.1 DATA_DIR = C:\ProgramData\CodeProject\AI MODE = MEDIUM MODELS_DIR = <root>\modules\ObjectDetectionYOLOv5-3.1\assets PROFILE = desktop_gpu TEMP_PATH = <root>\modules\ObjectDetectionYOLOv5-3.1\tempstore USE_CUDA = True YOLOv5_VERBOSE = false Status Data: { "inferenceDevice": "GPU", "inferenceLibrary": "CUDA", "canUseGPU": "true", "successfulInferences": 0, "failedInferences": 0, "numInferences": 0, "averageInferenceMs": 0 } Started: 11 Mar 2024 6:20:21 PM Pacific Standard Time LastSeen: 11 Mar 2024 6:26:41 PM Pacific Standard Time Status: Started Requests: 0 (includes status calls)
我尝试过的:
我已经重新安装了所有必要的驱动程序和软件。
解决方案1
在专门的问题中提出您的问题 CodeProject.AI 讨论[[^]论坛。
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