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Description
Area of Concern
- Server
- [x ] Behaviour of one or more Modules [provide name(s), e.g. ObjectDetectionYolo]
- Installer
- Runtime [e.g. Python3.7, .NET]
- [ x] Module packages [e.g. PyTorch)
- Something else
Describe the bug
When you click to download any of the Models for YOLOv8 (Object Detection All Sizes, Object Segmentation All Sizes or Custom Models
Expected behavior
I thought they would go out and download the new models, this is how it worked in 2.8 but that is not happening in 2.9.4
Screenshots
when downloading Yolov8 Models...I get the following:
Preparing to download model 'objectdetection-coco-yolov8-pt-nsmlx.zip' for module ObjectDetectionYOLOv8
15:07:47:Downloading model 'objectdetection-coco-yolov8-pt-nsmlx.zip' to '/app/downloads/modules/packages/ObjectDetectionYOLOv8/objectdetection-coco-yolov8-pt-nsmlx.zip'
15:07:53:Preparing to download model 'objectsegmentation-coco-yolov8-pt-nsmlx.zip' for module ObjectDetectionYOLOv8
15:07:53:Downloading model 'objectsegmentation-coco-yolov8-pt-nsmlx.zip' to '/app/downloads/modules/packages/ObjectDetectionYOLOv8/objectsegmentation-coco-yolov8-pt-nsmlx.zip'
15:07:56:Preparing to download model 'objectdetection-custom-yolov8-pt-m.zip' for module ObjectDetectionYOLOv8
15:07:56:Downloading model 'objectdetection-custom-yolov8-pt-m.zip' to '/app/downloads/modules/packages/ObjectDetectionYOLOv8/objectdetection-custom-yolov8-pt-m.zip'
15:08:06:Unable to download and install objectdetection-custom-yolov8-pt-m.zip: Unable to download 'objectdetection-custom-yolov8-pt-m.zip'. Error: Could not find a part of the path '/app/downloads/modules/packages/ObjectDetectionYOLOv8/objectdetection-custom-yolov8-pt-m.zip'.
15:08:17:Unable to download and install objectdetection-coco-yolov8-pt-nsmlx.zip: Response timeout. Try increasing the timeout value
15:08:23:Unable to download and install objectsegmentation-coco-yolov8-pt-nsmlx.zip: Response timeout. Try increasing the timeout value
Your System (please complete the following information):
- CodeProject.AI Server version: {e.g. 2.3.1] DOCKER 2.9.4
- OS: [e.g. Ubuntu 20.04] Windows 11
- System RAM [e.g. 16Gb] 128GB
- GPU (if available) [e.g. GeForce RTX 3060] Geforce RTX 3070
- GPU RAM (if available) [e.g. 4Gb] 8GB
Additional context
Add any other context about the problem here.
Server version: 2.9.4
System: Docker (Ubuntu 22.04.3 LTS)
Operating System: Linux (Ubuntu 22.04 Jammy Jellyfish)
CPUs: AMD Ryzen Threadripper 3960X 24-Core Processor (AMD)
1 CPU x 24 cores. 48 logical processors (x64)
GPU (Primary): NVIDIA GeForce RTX 3070 (8 GiB) (NVIDIA)
Driver: 560.94, CUDA: 12.6.85 (up to: 12.6), Compute: 8.6, cuDNN: 8.9.6
System RAM: 63 GiB
Platform: Linux
BuildConfig: Release
Execution Env: Docker
Runtime Env: Production
Runtimes installed:
.NET runtime: 9.0.0
.NET SDK: Not found
Default Python: 3.10.12
Go: Not found
NodeJS: Not found
Rust: Not found
Video adapter info:
System GPU info:
GPU 3D Usage 21%
GPU RAM Usage 6.7 GiB
Global Environment variables:
CPAI_APPROOTPATH =
CPAI_PORT = 32168