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1 | 1 | #! Python3.7 |
2 | 2 |
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3 | | -Pandas # Installing Pandas, a data analysis / data manipulation tool |
4 | | -CoreMLTools # Installing CoreMLTools, for working with .mlmodel format models |
5 | | -OpenCV-Python # Installing OpenCV, the Open source Computer Vision library |
6 | | -Pillow<10.0.0 # Installing Pillow, a Python Image Library |
7 | | -SciPy # Installing SciPy, a library for mathematics, science, and engineering |
8 | | -PyYAML # Installing PyYAML, a library for reading configuration files |
| 3 | +opencv-python-headless==4.8.1.78 # Installing OpenCV (headless), the Open source Computer Vision library |
| 4 | +numpy==1.26.0 # Installing NumPy, a package for scientific computing |
| 5 | +matplotlib>=3.3.0 # Installing Matplotlib, the Python plotting package |
| 6 | +opencv-python>=4.6.0 # Installing OpenCV, the Open source Computer Vision library |
| 7 | +pillow>=7.1.2 # Installing Pillow, a Python Image Library |
| 8 | +pyyaml>=5.3.1 # Installing PyYAML, a library for reading configuration files |
| 9 | +requests>=2.23.0 # Installing Requests, the HTTP library |
| 10 | +scipy>=1.4.1 # Installing SciPy, a library for mathematics, science, and engineering |
| 11 | +tqdm>=4.64.0 # Installing TDQM, the Fast, Extensible Progress Meter |
| 12 | +pandas>=1.1.4 # Installing Pandas, a data analysis / data manipulation tool |
| 13 | +psutil # Installing psutil, a tool to check system utilization |
| 14 | +dill # Installing dill, for serializing and de-serializing Python objects |
| 15 | +py-cpuinfo # Installing py-cpuinfo to allow us to query CPU info |
| 16 | +ipython # Installing ipython, for interactive notebooks |
9 | 17 |
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10 | 18 | # PyTorch-DirectML not working for this module |
11 | 19 | # torch-directml # Installing the PyTorch DirectML plugin |
12 | 20 |
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13 | | ---extra-index-url https://download.pytorch.org/whl/cpu |
14 | | -Torch # Installing Torch, for Tensor computation and Deep neural networks |
15 | | ---extra-index-url https://download.pytorch.org/whl/cpu |
16 | | -TorchVision # Installing TorchVision, for Computer Vision based AI |
| 21 | +# CPU specific Torch 1.8.0. Size ~531Mb |
| 22 | +-f https://download.pytorch.org/whl/cpu/torch_stable.html |
| 23 | +torch==1.8.0+cpu # Installing PyTorch, for Tensor computation and Deep neural networks |
| 24 | +-f https://download.pytorch.org/whl/cpu/torch_stable.html |
| 25 | +torchvision==0.9.0+cpu # Installing TorchVision, for Computer Vision based AI |
17 | 26 |
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18 | | -# We'll lock down to Torch 1.X, CPU-only to play it safe |
19 | | -#--extra-index-url https://download.pytorch.org/whl/cpu |
20 | | -#torch==1.13.1+cpu `# Installing Torch, for Tensor computation and Deep neural networks |
21 | | -#--extra-index-url https://download.pytorch.org/whl/cpu |
22 | | -#torchvision==0.14.1+cpu `# Installing TorchVision, for Computer Vision based AI |
| 27 | +# CPU specific Torch 1.13.0. Size ~830Mb |
| 28 | +# --extra-index-url https://download.pytorch.org/whl/cpu |
| 29 | +# torch==1.13.0+cpu # Installing PyTorch, for Tensor computation and Deep neural networks |
| 30 | +# --extra-index-url https://download.pytorch.org/whl/cpu |
| 31 | +# torchvision==0.14.0+cpu # Installing TorchVision, for Computer Vision based AI |
23 | 32 |
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24 | | -yolov5==6.2.3 # Installing Ultralytics YoloV5 package for object detection in images |
| 33 | +# Explicitly install ultralytics without optional dependencies (like CUDA). |
| 34 | +--no-deps |
| 35 | +yolov5==6.2.3 # Installing Ultralytics YoloV5 package for object detection in images |
25 | 36 |
|
26 | | -# We need this, but we don't need this. |
27 | | -Seaborn # Installing Seaborn, a data visualization library based on matplotlib |
| 37 | +# CoreMLTools # Installing CoreMLTools, for working with .mlmodel format models |
28 | 38 |
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29 | | -CodeProject-AI-SDK # Installing the CodeProject.AI SDK |
| 39 | + |
| 40 | +CodeProject-AI-SDK # Installing the CodeProject.AI SDK |
30 | 41 |
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31 | 42 | # last line empty. |
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