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robocup2022-cv-what-is-that-yolov5

Installation

  1. Clone this project
  2. Create conda environment
$ conda create -n wit python=3.9

then

``` bash
$ conda install --yes pytorch==1.11.0 torchvision==0.12.0 torchaudio==0.11.0 cudatoolkit=11.3 -c pytorch
$ pip install -r requirements_localtest.txt

Weight

Download weight from here LINK TO DRIVE You can change weight.pt by put a new weight in project folder and change a parameter in yolov5.py

  • WEIGHTS_PATH = 'custom_object_weight.pt'

.yaml

You can change data.yaml by put a new .yaml in data folder and change a parameter in yolov5.py

  • data=ROOT / 'data/data.yaml'

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  • Python 95.3%
  • Jupyter Notebook 3.1%
  • Cython 0.5%
  • Shell 0.5%
  • Dockerfile 0.4%
  • Cuda 0.1%
  • Other 0.1%