e-manuele / cropandweeddetection

Using YOLOv7 for crop and weed detection

Using YOLOv7 for crop and weed detection

Used dataset: The Crop and Weed dataset

Used YOLOv7 version: https://github.com/Chris-hughes10/Yolov7-training/issues

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Installation

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Choose a python version and set a location for the environment

python3.9 -m venv $TMP/tempenv
source $TMP/tempenv/bin/activate

Assure there is a pip in the environment

python3.9 -m pip install -U pip --no-cache-dir --force-reinstall  

This is not so well maintained and might downgraded to a PyTorch version < 2

pip install pytorch-accelerated==0.1.40 --no-dependencies  

Installing these can make problems under Windows -> clone them

git clone https://github.com/Chris-hughes10/Yolov7-training.git
git clone https://github.com/cropandweed/cropandweed-dataset.git

Alternatively my fork:

https://github.com/Daraan/cropandweed-dataset

Note: Note the currently liknked yolov7 variant is not compatible with half precision training. A fork will be added or contact me.

For the notebook

pip install -r requirements.txt 

Optional not needed for this notebook but optionally for supplementary code. There might be CUDA path problems therefore not putting it into requirements

pip install deepspeed 

Light version

For the .py files a lighter version

pip install -r pipreqs_requirements.txt 

Todos:

• Update readme
• Create fork for half precision support of Yolov7
• ...