Setting up AutoSfM

Setting up Docker

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Upon succesful build, an image named 'sfm' will be created on the host. Verify that the image is built using:

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When prompted to accept the agreement, type “yes” yes and press Enter

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When prompted for the installation location, press Enter. This will keep the default path

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When prompted, type “yes” yes and press Enter

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Login again and conda will be active.

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cd ~
git clone -b develop https://github.com/precision-sustainable-ag/SemiF-AnnotationPipeline.git

The repository and the code is now set up. Note that the -b develop is a temporary measure till the main branch is updated with the stable changes.

Setting up the conda environment

Make a new conda environment from the environment.yml file in the repository

# OpenCV dependencies
sudo apt-get install ffmpeg libsm6 libxext6  -y
cd ~/SemiF-AnnotationPipeline

Create GPU or NoGPU environment

No Nvidia GPU:

conda env create -f environment_nogpu.yml

Nvidia GPU:

conda env create -f environment_gpu.yml

Then activate the conda environment

conda activate semif_nogpu

Copy the metashape software to autosfm/volumes/metashape. The installation will look like this:

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