Ibraheem Alhashim ialhashim

## flappy.html
<body onload=z=c.getContext`2d`,setInterval(`c.width=W=150,Y<W&&P<Y&Y<P+E|9<p?z.fillText(S++${Y=`,9,9|z.fillRect(p`}*0,Y-=--M${Y+Y},P+E,9,W),P))):p=M=Y=S=6,p=p-6||(P=S%E,W)`,E=49) onclick=M=9><canvas id=c>

## azure_kinect_capture.cpp
/*
  The most basic example to capture matching RGB and Depth images from an Azure Kinect DK device.

  CImg is used to visualize the matching RGB and Depth.
*/

#pragma comment(lib, "gdi32.lib")
#pragma comment(lib, "user32.lib")
#pragma comment(lib, "shell32.lib")

## align_face.py
"""
brief: face alignment with FFHQ method (https://github.com/NVlabs/ffhq-dataset)
author: lzhbrian (https://lzhbrian.me)
date: 2020.1.5
note: code is heavily borrowed from
    https://github.com/NVlabs/ffhq-dataset
    http://dlib.net/face_landmark_detection.py.html

requirements:
    apt install cmake

## measure_img_similarity.py
import warnings
from skimage.measure import compare_ssim
from skimage.transform import resize
from scipy.stats import wasserstein_distance
from scipy.misc import imsave
from scipy.ndimage import imread
import numpy as np
import cv2

##

## ddpg.py
from __future__ import print_function

# Deep Deterministic Policy Gradient Method
# David Silver et al.

# implemented in plain Keras, by Qin Yongliang
# 2017 01 13

'''
summary

## IllustratorSaveAsSVGs.jsx
/**********************************************************

ADOBE SYSTEMS INCORPORATED
Copyright 2005-2010 Adobe Systems Incorporated
All Rights Reserved

NOTICE:  Adobe permits you to use, modify, and
distribute this file in accordance with the terms
of the Adobe license agreement accompanying it.
If you have received this file from a source
	/*
	The most basic example to capture matching RGB and Depth images from an Azure Kinect DK device.

	CImg is used to visualize the matching RGB and Depth.
	*/

	#pragma comment(lib, "gdi32.lib")
	#pragma comment(lib, "user32.lib")
	#pragma comment(lib, "shell32.lib")
	"""
	brief: face alignment with FFHQ method (https://github.com/NVlabs/ffhq-dataset)
	author: lzhbrian (https://lzhbrian.me)
	date: 2020.1.5
	note: code is heavily borrowed from
	https://github.com/NVlabs/ffhq-dataset
	http://dlib.net/face_landmark_detection.py.html

	requirements:
	apt install cmake
	import warnings
	from skimage.measure import compare_ssim
	from skimage.transform import resize
	from scipy.stats import wasserstein_distance
	from scipy.misc import imsave
	from scipy.ndimage import imread
	import numpy as np
	import cv2

	##
	from __future__ import print_function

	# Deep Deterministic Policy Gradient Method
	# David Silver et al.

	# implemented in plain Keras, by Qin Yongliang
	# 2017 01 13

	'''
	summary
	/**********************************************************

	ADOBE SYSTEMS INCORPORATED
	Copyright 2005-2010 Adobe Systems Incorporated
	All Rights Reserved

	NOTICE: Adobe permits you to use, modify, and
	distribute this file in accordance with the terms
	of the Adobe license agreement accompanying it.
	If you have received this file from a source