Daniil Pakhomov warmspringwinds

PhD student at JHU. Research interests: Image Classification, Image Segmentation, Face Detection and Face Recognition mostly based on Deep Learning.

warmspringwinds / index.html

Created July 23, 2014 18:52

Example of calculating coordinates of visible tiles in Leaflet.js

	<html>
	<head>
	<link rel="stylesheet" href="http://cdn.leafletjs.com/leaflet-0.7.3/leaflet.css" />
	<link rel="stylesheet" href="main.css" />

	<script src="http://cdn.leafletjs.com/leaflet-0.7.3/leaflet.js"></script>
	<title>Leaflet test page</title>
	</head>
	<body>

warmspringwinds / benchmarks.py

Created March 22, 2015 07:31

	import numpy as np
	from lib import get_scale_local_maximas_orignal, get_scale_local_maximas_vectorized
	from compiled import get_scale_local_maximas_cython

	lapl_dummy = np.random.rand(100,100,100)
	coords = np.random.random_integers(0,99, size=(1000,3))

	%timeit get_scale_local_maximas_orignal(coords, lapl_dummy)
	%timeit get_scale_local_maximas_cython(coords, lapl_dummy)

warmspringwinds / gist:22893c1e08f4aef6024d

Last active June 26, 2016 22:19

Python/Numpy SVD

	import numpy as np

	input = np.zeros((2, 2), dtype=complex)
	input[0, 0] = 0.5 + 250j
	input[0, 1] = -0.5
	input[1, 0] = 0.5
	input[1, 1] = -0.5 + 250j

	result = np.linalg.svd(input, full_matrices=True)

warmspringwinds / gist:638fcd33175e27a5ba47

Created April 12, 2015 17:50

Correction

	import numpy as np
	cimport numpy as cnp


	def get_scale_local_maximas_cython(cnp.ndarray[cnp.int_t, ndim=2] cube_coordinates, cnp.ndarray[cnp.double_t, ndim=3] laplacian_cube):
	"""
	Check provided cube coordinate for scale space local maximas.
	Returns only the points that satisfy the criteria.

	A point is considered to be a local maxima if its value is greater

warmspringwinds / gist:516772c7ddedf5b579b9

Last active September 11, 2019 12:46

Face detection


	# Use local scikit-image
	import sys
	sys.path.insert(0, "/home/dan/University/projects/gsoc_face_detection/scikit-image/")

	from skimage.feature import multiblock_local_binary_pattern
	from skimage.transform import integral_image
	import numpy as np
	import skimage.io as io
	import xml.etree.ElementTree as ET

warmspringwinds / gist:bc2b9ddbf2c030ba83d4

Last active August 29, 2015 14:22

Cascade and sliding window

	import skimage.io as io

	from skimage.transform import pyramid_gaussian, rescale
	from skimage.util import view_as_windows
	from opencv_trainfile_test import detect_face
	from matplotlib import pyplot as plt
	import matplotlib.patches as patches

	current_img = io.imread('roi.jpg')

warmspringwinds / gist:d49d94d9eaff268e0ec8

Last active August 29, 2015 14:23

Draft

	%%cython -a
	# cython: cdivision=True
	# cython: boundscheck=False
	# cython: nonecheck=False
	# cython: wraparound=False

	import numpy as np
	cimport numpy as cnp
	from skimage._shared.transform cimport integrate

warmspringwinds / gist:12017d40d358ed03125c

Created July 9, 2015 08:47

Excessive detection window elimination.

	def intersection_ratio(rect_a, rect_b):

	r_a_1 = rect_a["r"]
	r_a_2 = rect_a["r"] + rect_a["height"]
	c_a_1 = rect_a["c"]
	c_a_2 = rect_a["c"] + rect_a["width"]

	r_b_1 = rect_b["r"]
	r_b_2 = rect_b["r"] + rect_b["height"]
	c_b_1 = rect_b["c"]

warmspringwinds / main.pyx

Created August 7, 2015 17:58

	%%cython -a
	# cython: cdivision=True
	# cython: boundscheck=False
	# cython: nonecheck=False
	# cython: wraparound=False
	# distutils: language = c++

	from libcpp.vector cimport vector
	from libcpp.pair cimport pair
	import skimage.io as io

warmspringwinds / main.py

Created December 18, 2016 03:54

Getting intermediate features from VGG-16 network in TF-Slim

	%matplotlib inline
	from __future__ import division

	import numpy as np
	import tensorflow as tf
	import sys
	import os
	from matplotlib import pyplot as plt
	import urllib2