TF_FlowNet

• Original codes by linjian93

Model links

• 20190710_755_01
• 20190710_333_01

Dependencies

conda create -n SK_Week4_sfm tensorflow-gpu=1.8 ipython jupyter pillow ipykernel  gdbm anaconda -y

source  activate SK_Week4_sfm

conda install -c conda-forge matplotlib -y
conda install -c menpo opencv
conda install -c anaconda scipy
conda install tensorflow-gpu=1.8

python -m ipykernel install  --user --name SK_Week4_sfm --display-name "[SK_Week4_sfm]"
jupyter notebook

Usage

0. Activate conda env

cd ~/sk_week4
source activate SK_Week4_RCV

1. Clone or pull git

git clone https://github.com/SeokjuLee/TF_FlowNet
cd TF_FlowNet

cd TF_FlowNet
git reset --hard
git pull

2. Download dataset

cd dataset/FlyingChairs/data
chmod +x download_dataset.sh
./download_dataset.sh
cd ../../..

3. Download models

cd model/flownet_simple/755
chmod +x download_model.sh
./download_model.sh
cd ../../..

cd model/flownet_simple/333
chmod +x download_model.sh
./download_model.sh
cd ../../..

4. Run test_flownet_simple.py

CUDA_VISIBLE_DEVICES=0 python3 test_flownet_simple.py