--- a
+++ b/SSD/predSSD.sh
@@ -0,0 +1,54 @@
+#!/usr/bin/env bash
+
+# Ron the short-list GPU queue
+#SBATCH -p slurm_sbel_cmg 
+#SBATCH --account=cmg --qos=cmg_owner
+
+## Request one CPU core from the scheduler
+#SBATCH -c 1
+
+## Request a GPU from the scheduler, we don't care what kind
+#SBATCH --gres=gpu:1
+#SBATCH -t 14-3:00 # time (D-HH:MM)
+
+## Create a unique output file for the job
+#SBATCH -o cuda_Training-%j.log
+
+## Load CUDA into your environment
+## load custimized CUDA and cudaToolkit
+
+module load usermods
+module load user/cuda
+
+## Load Euler's OpenCV
+## It does not work
+## module load opencv/3.3.1
+
+# (1)
+# you need to create ssd virtual environment first
+# then activate the ssd virtual environment
+source activate ssd
+
+# (2)
+# install software needed
+#conda install -c anaconda --name ssd cudatoolkit>=9.2 --yes
+#conda install -c anaconda --name ssd cudnn>=7.0.5 --yes
+conda install --name ssd numpy --yes
+#conda install --name ssd tensorflow-gpu --yes
+conda install --name ssd tensorflow-gpu --yes
+conda install -c anaconda --name ssd keras-gpu --yes
+#conda install --name ssd keras --yes #>=2.2.0 --yes
+#conda install --name ssd keras --yes
+conda install -c anaconda --name ssd matplotlib --yes
+conda install -c anaconda --name ssd beautifulsoup4 --yes 
+conda install -c anaconda --name ssd scikit-learn --yes
+conda install -c anaconda --name ssd Pillow --yes
+conda install --name ssd opencv --yes
+conda install --name ssd tqdm --yes
+#conda install -c conda-forge --name ssd opencv --yes
+#conda install --name ssd opencv
+#conda install -c conda-forge opencv
+
+# (3)
+
+python3 predict_top2.py