This Repo is a setting up example for semantic Segmentation in LOST. This Repo is based on this Repo (Link)
- Install LOST (Link)
- Clone this Repository into
{LOST WORKSPACE}/my_data/{USER}
- Clone the branch "LostPipeline" from this Repository: (Link) into the project Folder
- Download the Dataset (Link)
- Unzip the Dataset
cd dataset
mkdir Seagrass_Flat
- Flat the images with
cp images/*/* ./Seagrass_Flat/
mkdir gt_flat
- Flat the images with
cp ground-truth/*/* ./gt_flat/
- Copy the Folder
Seagrass_Flat/
into{LOST WORKSPACE}/data/media
- Copy the Folder
gt_flat/
into{LOST WORKSPACE}/my_data/{USER}
- import the pipeline (Link)
- Add a Label Tree "Seagrass" with the Labels "Seagrass" and "Background"
- Start the Pipeline