tldrafael

$ for f in `ls *`; do nc=${#f}; nc2=$((10-$nc)); if [ $nc2 -gt 0 ]; then preffix=`printf '0%.0s' $(seq 1 $nc2)`; newf=$preffix$f; mv $f $newf; fi;  done

tldrafael

convert $f -interpolate nearest-neighbor -interpolative-resize 352x288! $newf

tldrafael

for f in *; do file $f | sed 's/.*, \(.*\)x\(.*\),.*/\1x\2/'; done | sort | uniq -c

tldrafael

export UID=$(id -u)
export GID=$(id -g)
docker run --user $UID:$GID \
           --workdir="/home/$USER" \
           -v "/etc/group:/etc/group:ro" \
           -v "/etc/passwd:/etc/passwd:ro" \
           -v "/etc/shadow:/etc/shadow:ro" \
           -it $DOCKER_IMAGE

tldrafael

def parse_args():
    parser = argparse.ArgumentParser()
    parser.add_argument('-d', type=str, help='directory path', dest='dpath')
    parser.add_argument('-f', type=str, help='filepath', dest='fpath')
    return parser.parse_args()


if __name__ == '__main__':
    args = parse_args()
    if not any([args.dpath, args.fpath]):

tldrafael

# Code adapted from skimage
# https://github.com/riaanvddool/scikits-image/blob/master/skimage/color/delta_e.py#L123

import numpy as np
import tensorflow as tf

def tf_deg2rad(deg):
    return (deg / 180) * np.pi

def tf_rad2deg(rad):

tldrafael

xgb_params = {'objective': 'multi:softmax',
              'num_class': 19,
              'tree_method': 'exact',
#                      'max_bin': 64,
              'colsample_bytree': 0.75,
              'subsample': 0.75,
#               'lambda': 2,
#               'alpha': 2,
#               'min_child_weight': 10,
#               'max_delta_step': 10,

tldrafael

import traceback
import sys


try:
    pass
except Exception as e:
    traceback_info = ''.join(traceback.format_exception(*sys.exc_info()))
    logger.info(traceback_info)

tldrafael

import logging
from logging.handlers import RotatingFileHandler
import traceback

logger = logging.getLogger()
logger.setLevel(logging.DEBUG)

handler = RotatingFileHandler('app.log', mode='a', maxBytes=50e6, backupCount=2)
formatter = logging.Formatter('%(asctime)s,%(message)s', datefmt='%Y-%m-%d %H:%M:%S')
handler.setFormatter(formatter)

tldrafael

# Install cuda-10.0 because the newest one (for now the version 10.2) mismatchs the tensorflow 1.14.0 requirements
wget https://developer.nvidia.com/compute/cuda/10.0/Prod/local_installers/cuda-repo-ubuntu1804-10-0-local-10.0.130-410.48_1.0-1_amd6
 
dpkg -i cuda-repo-ubuntu1804-10-0-local-10.0.130-410.48_1.0-1_amd6

apt-key add /var/cuda-repo-10-0-local-10.0.130-410.48/7fa2af80.pub

apt-get install cuda

# This cuda version install nvidia v410 drivers. Remove it.