priancho

# Create this pyrightconfig.json at the workspace's root directory.
#
# Refer: https://github.com/microsoft/pyright/issues/168
{
    "exclude": ["./data/"]
}

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""" Convert jp2k image to jpeg.

# Install JPEG2k decoder first
sudo yum install -y libjpeg-devel
"""
import os
import argparse
from pathlib import Path

import cv2

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#-------------------------#
#----- WSL2 settings -----#
#-------------------------#
sudo service docker start

#--------------------------#
#----- Basic settings -----#
#--------------------------#
# Define colors
C_DEFAULT="\[\033[m\]"

priancho

Purpose

TensorBoard나 Jupyter notebook은 매우 편리한 도구이나, 적절한 세큐리티 (SSL, Authentication, Authorization 등) 방책이 없이는 사용하기 곤란한 경우가 많다.

여기서는 SSH dynamic port forwarding을 통해서 local computer (노트북, 데스크탑 등)으로부터 remote server (작업용 서버, 주로 회사 컴퓨터) 에서 동작중인 웹기반 어플리케이션에 액세스하는 방법을 설명한다. (물론 remote server의 port에 접근하는 것이므로 웹 기반 앱이 아니어도 됨)

priancho

#!/bin/bash

# replace ${} with real names
PROJECT_NAME=[project name]
USER=[user name]
SRC_SERVER=[hostname having the original data]
SRC_DIR=[path to the original data]
DST_DIR=[path to archive data]
LOG=[path to the log file]

priancho

class MultiGPUModelCheckpoint(ModelCheckpoint):
    """MultiGPU model checkpointing.
    
    Save a template model, not multi_gpu_model instance.
    Save the model at the beginning (a random init model) and at the
    end of the training.
    
    > https://github.com/keras-team/keras/issues/8463
    """
    def __init__(self, *args, **kwargs):

priancho

class CustomModelCheckpoint(ModelCheckpoint):
    """Custom ModelCheckpoint.
    
    Save the model at the beginning (a random init model) and at the
    end of the training.
    """
    def __init__(self, *args, **kwargs):
        super(CustomModelCheckpoint, self).__init__(*args, **kwargs)
        self.current_epoch = 0
    

priancho

# Run the following command to create Jupyter-lab config file under
# ~/.jupyter/jupyter_notebook_config.py
#   $ jupyter-lab --generate-config
#

############################
### Some custom settings ###
############################

# Make it accessible from localhost only

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name: py3_main
channels:
- anaconda
- conda-forge
- defaults
dependencies:
- _nb_ext_conf=0.4.0=py36_1
- anaconda-client=1.6.3=py36_0
- beautifulsoup4=4.6.0=py36h49b8c8c_1
- bleach=1.5.0=py36_0

priancho

# Download Amazon Product Data (small version).
#  For details, see: http://jmcauley.ucsd.edu/data/amazon/
#
# Caution!
#   Before running this download script, create a directiory in
#   HDFS to save files. Then, set it in BASE_PATH variable.
#
                                                                                        
#---
# Downloading using ipython.