Corrections for Linux non-GPU install

Author: ChrisMaunder

modulesettings.json

@@ -3,7 +3,7 @@
 
     "ObjectDetectionYOLOv8": {
       "Name": "Object Detection (YOLOv8)",
-      "Version": "1.6.1",
+      "Version": "1.6.2",
 
       "PublishingInfo" : {
         "Description" : "Provides Object Detection in Python>=3.8 using YOLOv8. Great for newer NVIDIA GPUs",
@@ -64,7 +64,8 @@
           { "ModuleVersion": "1.4.3", "ServerVersionRange": [ "2.6.0", "2.6.0" ], "ReleaseDate": "2024-04-07", "ReleaseNotes": "Added thread lock to address multi-threaded issue" },
           { "ModuleVersion": "1.5.0", "ServerVersionRange": [ "2.6.5", "2.7.0" ], "ReleaseDate": "2024-04-25", "ReleaseNotes": "Corrected NumPy 2.0 issue" },
           { "ModuleVersion": "1.6.0", "ServerVersionRange": [ "2.8.0", "2.9.3" ], "ReleaseDate": "2024-08-02", "ReleaseNotes": "Updated for server 2.8" },
-          { "ModuleVersion": "1.6.1", "ServerVersionRange": [ "2.9.4",     ""  ], "ReleaseDate": "2024-11-26", "ReleaseNotes": "Support for dual Ubuntu/Debian install" }
+          { "ModuleVersion": "1.6.1", "ServerVersionRange": [ "2.9.4",     ""  ], "ReleaseDate": "2024-11-26", "ReleaseNotes": "Support for dual Ubuntu/Debian install" },
+          { "ModuleVersion": "1.6.2", "ServerVersionRange": [ "2.9.4",     ""  ], "ReleaseDate": "2024-12-03", "ReleaseNotes": "Corrections for Linux, non-GPU install" }
         ],
         "DownloadableModels":[
           { "Name": "YOLOv8 Object Detection all sizes",    "Filename": "objectdetection-coco-yolov8-pt-nsmlx.zip",    "Folder": "assets", "Description": "YOLOv8 object detection using the COCO dataset. Sizes N(ano), S, M, L, XL", "FileSizeKb": 275800, "PreInstall": true },

requirements.linux.txt

@@ -1,29 +1,33 @@
 #! Python3.8
 
-numpy<2.0                       # Installing NumPy, a package for scientific computing
-
-# Pandas                        # Installing Pandas, a data analysis / data manipulation tool
-# CoreMLTools                   # Installing CoreMLTools, for working with .mlmodel format models
-# OpenCV-Python                 # Installing OpenCV, the Open source Computer Vision library
-# Pillow<10.0.0                 # Installing Pillow, a Python Image Library
-# SciPy                         # Installing SciPy, a library for mathematics, science, and engineering
-# PyYAML                        # Installing PyYAML, a library for reading configuration files
-
-# Torch                         # Installing Torch, for Tensor computation and Deep neural networks
-# TorchVision                   # Installing TorchVision, for Computer Vision based AI
-
-# We'll lock down to Torch 1.X, CPU-only to play it safe
---extra-index-url https://download.pytorch.org/whl/cpu
-torch==1.13.1+cpu               # Installing Torch, for Tensor computation and Deep neural networks
---extra-index-url https://download.pytorch.org/whl/cpu
-torchvision==0.14.1+cpu         # Installing TorchVision, for Computer Vision based AI
-
-# Specific version because we have a patch
-ultralytics==8.1.2              # Installing Ultralytics package for object detection in images
-
-# We need this, but we don't need this.
-# Seaborn                       # Installing Seaborn, a data visualization library based on matplotlib
-
-CodeProject-AI-SDK              # Installing the CodeProject.AI SDK
+# Based on the answer for pleas to Ultralyitcs to not include the full bloated NVIDA libraries
+# when no GPU present: https://github.com/ultralytics/ultralytics/issues/749#issuecomment-1806360075
+
+opencv-python-headless==4.8.1.78    # Installing OpenCV (headless), the Open source Computer Vision library
+numpy==1.26.0                       # Installing NumPy, a package for scientific computing
+matplotlib>=3.3.0                   # Installing Matplotlib, the Python plotting package
+opencv-python>=4.6.0                # Installing OpenCV, the Open source Computer Vision library
+pillow>=7.1.2                       # Installing Pillow, a Python Image Library
+pyyaml>=5.3.1                       # Installing PyYAML, a library for reading configuration files
+requests>=2.23.0                    # Installing Requests, the HTTP library
+scipy>=1.4.1                        # Installing SciPy, a library for mathematics, science, and engineering
+tqdm>=4.64.0                        # Installing TDQM, the Fast, Extensible Progress Meter
+pandas>=1.1.4                       # Installing Pandas, a data analysis / data manipulation tool
+psutil                              # Installing psutil, a tool to check system utilization
+dill                                # Installing dill, for serializing and de-serializing Python objects
+py-cpuinfo                          # Installing py-cpuinfo to allow us to query CPU info
+
+#Install torch and torchvision CPU only versions
+-f https://download.pytorch.org/whl/cpu/torch_stable.html
+torch==1.8.0+cpu                    # Installing PyTorch, for Tensor computation and Deep neural networks
+-f https://download.pytorch.org/whl/cpu/torch_stable.html
+torchvision==0.9.0+cpu              # Installing TorchVision, for Computer Vision based AI
+
+# Explicitly install ultralytics without optional dependencies (like CUDA).
+--no-deps
+ultralytics==8.1.2                  # Installing Ultralytics package for object detection in images
+
+
+CodeProject-AI-SDK                  # Installing the CodeProject.AI SDK
 
 # last line empty.

requirements.txt

@@ -2,7 +2,7 @@
 
 numpy<2.0                       # Installing NumPy, a package for scientific computing
 
-# urllib3<1.27,>=1.25.4   # Installing urllib3, the HTTP client for Python
+# urllib3<1.27,>=1.25.4         # Installing urllib3, the HTTP client for Python
 
 # Pandas                        # Installing Pandas, a data analysis / data manipulation tool
 # CoreMLTools                   # Installing CoreMLTools, for working with .mlmodel format models