Kaggle: TGS Salt Identification Challenge

Segment salt deposits beneath the Earth's surface

Solution (branch)

• draka *** (place 191 Top6%)
• durotan
• garona

Results

Branch	Name	CV	LB (Public)	LB (Private)	Description
classic	unet
	unetrest	0.8134	0.840	0.868	pre-train resnet135 + tta

• top10%: 191 place (top6%)
• https://www.kaggle.com/c/tgs-salt-identification-challenge/leaderboard

Installation

$git clone https://github.com/pedrodiamel/pytorchvision.git
$cd pytorchvision
$python setup.py install
$pip install -r installation.txt

Download Kaggle dataset

# loader dataset 
kaggle competitions download -c tgs-salt-identification-challenge

Visualize result with Visdom

We now support Visdom for real-time loss visualization during training!

To use Visdom in the browser:

# First install Python server and client 
pip install visdom
# Start the server (probably in a screen or tmux)
python -m visdom.server -env_path runs/visdom/
# http://localhost:8097/

How use

Step 1: Create dataset

#(1) kaggle dataset
./run_createdataset.sh 

Step 2: Train

./train.sh

Step 3: Submission

./submission.sh

URLs

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