diff --git a/data/bibtex/kth.txt b/data/bibtex/kth.txt new file mode 100644 index 0000000000000000000000000000000000000000..ef223ac63ce23c99527062adce10058442873b97 --- /dev/null +++ b/data/bibtex/kth.txt @@ -0,0 +1,6 @@ +@inproceedings{schuldt2004kth, + title={Recognizing human actions: a local {SVM} approach}, + author={Schuldt, Christian and Laptev, Ivan and Caputo, Barbara}, + booktitle={International Conference on Pattern Recognition (ICPR)}, + year={2004}, +} diff --git a/data/bibtex/sna.txt b/data/bibtex/sna.txt new file mode 100644 index 0000000000000000000000000000000000000000..f458d1fc05ca414e663e04cfd1e9f86865ade6b6 --- /dev/null +++ b/data/bibtex/sna.txt @@ -0,0 +1,6 @@ +@inproceedings{ebert17sna, + title={Self-Supervised Visual Planning with Temporal Skip Connections}, + author={Ebert, Frederik, and Finn, Chelsea and Lee, Alex and Levine, Sergey}, + booktitle={Conference on Robot Learning (CoRL)}, + year={2017} +} diff --git a/data/download_and_preprocess_dataset.sh b/data/download_and_preprocess_dataset.sh new file mode 100644 index 0000000000000000000000000000000000000000..a0fe6b9b06967de929781836a220c6264181bd19 --- /dev/null +++ b/data/download_and_preprocess_dataset.sh @@ -0,0 +1,36 @@ +#!/usr/bin/env bash + +if [ "$#" -ne 1 ]; then + echo "Usage: $0 DATASET_NAME" >&2 + exit 1 +fi +if [ $1 = "bair" ]; then + TARGET_DIR=./data/softmotion30_44k + mkdir -p ${TARGET_DIR} + TAR_FNAME=bair_robot_pushing_dataset_v0.tar + URL=http://rail.eecs.berkeley.edu/datasets/${TAR_FNAME} + echo "Downloading $1 dataset (this takes a while)" + wget ${URL} -O ${TARGET_DIR}/${TAR_FNAME} + tar -xvf ${TARGET_DIR}/${TAR_FNAME} --strip-components=1 -C ${TARGET_DIR} + rm ${TARGET_DIR}/${TAR_FNAME} + mkdir -p ${TARGET_DIR}/val + # reserve a fraction of the training set for validation + mv ${TARGET_DIR}/train/traj_{256_to_511,512_to_767,768_to_1023,1024_to_1279,1280_to_1535,1536_to_1791,1792_to_2047,2048_to_2303,2304_to_2559}.tfrecords ${TARGET_DIR}/val/ +elif [ $1 = "kth" ]; then + TARGET_DIR=./data/kth + mkdir -p ${TARGET_DIR} + mkdir -p ${TARGET_DIR}/raw + echo "Downloading $1 dataset (this takes a while)" + for ACTION in walking jogging running boxing handwaving handclapping; do + ZIP_FNAME=${ACTION}.zip + URL=http://www.nada.kth.se/cvap/actions/${ZIP_FNAME} + wget ${URL} -O ${TARGET_DIR}/raw/${ZIP_FNAME} + unzip ${TARGET_DIR}/raw/${ZIP_FNAME} -d ${TARGET_DIR}/raw/${ACTION} + done + python video_prediction/datasets/kth_dataset.py ${TARGET_DIR}/raw ${TARGET_DIR} + rm -rf ${TARGET_DIR}/raw +else + echo "Invalid dataset name: '$1' (choose from 'bair', 'kth')" >&2 + exit 1 +fi +echo "Succesfully finished downloading and preprocessing dataset $1"