CodeProject.AI-TrainingObjectDetectionYOLOv5/requirements.macos.arm64.txt at main · codeproject/CodeProject.AI-TrainingObjectDetectionYOLOv5 · GitHub

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# YOLOv5 requirements
# Usage: pip install -r requirements.txt

numpy<2.0                   # Installing NumPy, a package for scientific computing
urllib3<1.27,>=1.25.4       # Installing urllib3, the HTTP client for Python

# Base ----------------------------------------
matplotlib>=3.2.2           # Installing matplotlib, the python plotting package
opencv-python>=4.1.1,<=4.9  # Installing OpenCV, the Open source Computer Vision library
Pillow<10.0.0               # Installing Pillow, a Python Image Library
PyYAML>=5.3.1               # Installing PyYAML, a library for reading configuration files
requests>=2.23.0            # Installing request, the HTTP library
scipy>=1.4.1                # Installing SciPy, a library for mathematics, science, and engineering

torch                       # Installing Torch, for Tensor computation and Deep neural networks
torchvision                 # Installing TorchVision, for Computer Vision based AI

#--index-url https://download.pytorch.org/whl/torch_stable.html
#torch>=1.7.0,<2.0          # Installing Torch, for Tensor computation and Deep neural networks
#torchvision>=0.8.1         # Installing TorchVision, for Computer Vision based AI
tqdm>=4.64.0                # Installing tdqm, the Fast, Extensible Progress Meter

# This is to fix an issue at https://github.com/ultralytics/yolov5/issues/8012
protobuf<=3.20.1            # Installing protobuf, extensible mechanisms for serializing structured data

# Logging -------------------------------------
tensorboard>=2.4.1          # Installing tensorboard, a tool to let you watch Tensors Flow
# wandb
# clearml

# Plotting ------------------------------------
pandas>=1.1.4               # Installing Pandas, a data analysis / data manipulation tool
seaborn>=0.11.0             # Installing Seaborn, a data visualization library based on matplotlib

# Export --------------------------------------
# coremltools>=5.2          # CoreML export
# onnx>=1.9.0               # ONNX export
# onnx-simplifier>=0.4.1    # ONNX simplifier
# nvidia-pyindex            # TensorRT export
# nvidia-tensorrt           # TensorRT export
# scikit-learn==0.19.2      # CoreML quantization
# tensorflow>=2.4.1         # TFLite export (or tensorflow-cpu, tensorflow-aarch64)
# tensorflowjs>=3.9.0       # TF.js export
# openvino-dev              # OpenVINO export

# Extras --------------------------------------
ipython                     # Installing ipython, for interactive notebooks
psutil                      # Installing psutil, a tool to check system utilization
thop>=0.1.1                 # Installing thop, a tool to count the FLOPs of PyTorch model.
# albumentations>=1.0.3
# pycocotools>=2.0          # COCO mAP
# roboflow

yolov5==6.2.3               # Installing Ultralytics YoloV5 package for object detection in images
fiftyone                    # Installing fiftyone, for building datasets and computer vision models

CodeProject-AI-SDK          # Installing the CodeProject.AI SDK

# last line empty

# This works:
# numpy-1.26.4
# urllib3-1.26.19
#
# matplotlib-3.9.1.post1
# opencv-python-4.8.1.78
# Pillow-9.5.0
# PyYAML-6.0.2
# requests-2.32.3
# scipy-1.14.0
#
# torch-2.2.2
# torchvision-0.17.2
#
# tqdm-4.66.5
# protobuf-3.20.1
# tensorboard-data-server-0.7.2
#
# seaborn-0.13.2
# pandas-2.2.2
#
# thop-0.1.1.post2209072238
# psutil-6.0.0
# ipython-8.26.0
#
# yolov5-6.2.3
# fiftyone-0.24.1
#
# CodeProject-AI-SDK-0.0.13