paddleseg_playground

This repository provides Docker environment with which you can play around with PaddleSeg framework.

Requirements

• Ubuntu OS (tested with Ubuntu 20.04 LTS)
• NVIDIA Driver (tested with 455.32.00)
• Docker (tested with 19.03.12)
• Docker Compose (tested with 1.27.4)
• NVIDIA Container Tookit (tested with 2.4.0)

May work with other versions.

Setup

Prepare the container with CUDA 11.0:

docker-compose run --rm --service-ports paddleseg bash

Or, prepare the container with CUDA 10.2:

docker-compose run --rm --service-ports paddleseg_cuda10 bash

Quick Training

Check if the container has been correctly setup:

python train.py \
       --config configs/quick_start/bisenet_optic_disc_512x512_1k.yml \
       --do_eval \
       --use_vdl \
       --save_interval 500 \
       --save_dir output

This will be finished within ~5 min.

You can monitor the progress via VisualDL. After starting VisualDL server as follows, open http://localhost:8040 from your web browser.

visualdl --logdir output/ --port 8040 --host 0.0.0.0

PaddleSeg Tutorials

Setup has been done!

Follow PaddleSeg official tutorial.