TDF is a binary format developed by the IGV team at Broad Institute.
Concepts
| # This is a bash script for batch images processing using https://github.com/lengstrom/fast-style-transfer code. | |
| # Used in udacity Deep Learning Nanodegree https://www.udacity.com/course/deep-learning-nanodegree--nd101 | |
| # Step 1. Configure environment | |
| # conda create -n style-transfer python=3 | |
| # activate style-transfer | |
| # conda install tensorflow scipy pillow | |
| # pip install moviepy | |
| # python -c "import imageio; imageio.plugins.ffmpeg.download()" | |
| # | |
| # Step 2. Close source code and have fun |
| # Small procedure to wait until all the tasks are finished on the qsub cluster | |
| # Example of usage: wait_complete $TASKS, where $TASKS is a task ids returned by qsub. | |
| wait_complete() | |
| { | |
| echo "Waiting for tasks..." | |
| for TASK in $@ | |
| do : | |
| echo -n "TASK: $TASK" | |
| # The task id is actually the first numbers in the string | |
| TASK_ID=$(echo ${TASK} | sed -e "s/\([0-9]*\).*/\1/") |