jin-zhe

'''
Resizes images in source image directory within given size bounds (keeping 
aspect ratio) and outputs in target directory with identical directory tree
structure. Uses Magick for image resizing.
'''
import os
import argparse
import subprocess
from pathlib import Path

jin-zhe

# STEP 1: `$ mkdir ~/bin`
# STEP 2: `$ touch ~/bin/sshfr`
# STEP 3: `$ chmod +x ~/bin/sshfr`
# STEP 4: Copy the following contents into `~/bin/sshfr`
# STEP 5: Update .profile or .bash_profle: `$ export PATH=$PATH":$HOME/bin"`
# STEP 6: Reload .profile or .bash_profle E.g. `$ . ~/.bash_profile`

# The contents of sshfr is as follows
ADDRESS=$1
PORT_START=${2-49151}

jin-zhe

from datetime import datetime
import os

import pandas as pd
import argparse

'''
Note:
- Entries start on row 3 of EduRec excel exports
- 'Student Number' column is mandatory!

jin-zhe

"""
  Intended usage scenario:
  You have a directory of pdfs, each comprising of sequential image scans of
  human-annotated documents (e.g. written questionaries/forms/exams) where every
  document share the same number of pages. Each pdf may contain different
  numbers of such scanned documents. You want to split all these pdfs up into
  smaller pdfs at fixed page index intervals such that each smaller pdf
  correspond to a single scanned document. In addition, you want to place them
  place them under a specific output directory while ensuring no filename
  collisons.

jin-zhe

THIS IS A WORK IN PROGRESS

ABSTRACT

Summarize

• What the problem is
• What prior methods entail
• What you propose/claim/hypothesize in this work
• How/why is it better
• Experimental support for your proposal
• Any additonal insights (if applicable)

jin-zhe

Activity Recognition Datasets

An overview of recent action recognition datasets and their detection classes

Concepts & terminologies:

• Action: Atomic low-level movement such as standing up, sitting down, walking, talking etc.
• Activity/event: Higher level occurence then actions such as dining, playing, dancing
• Trimmed video: A short video clip containing event/action/activity of interest
• Untrimmed video: A video clip of arbitrary length potentially containing durations without activities of interest
• Localization: locating an instance of event/action/activity within a video at a spatial or temporal scale
• Spatial localization: Locating the region/area of an instance of action/activity within a video