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Commit db8a430a authored by André Anjos's avatar André Anjos :speech_balloon:
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Merge branch 'issue_5' into 'master' 

Remove useless file (closes #5)

Closes #5

See merge request !4
parents b5dda43e 77555937
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1 merge request!4Remove useless file (closes #5)
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bob/io/audio/test.py
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#!/usr/bin/env python #!/usr/bin/env python
# vim: set fileencoding=utf-8 : # vim: set fileencoding=utf-8 :
# Andre Anjos <andre.anjos@idiap.ch>
# Elie Khoury < elie.khoury@idiap.ch>
# Wed 20 Jan 2016 14:35:05 CET
#
# Copyright (C) 2011-2016 Idiap Research Institute, Martigny, Switzerland
"""Tests audio reader and writer based on sox for bob and python """Tests audio reader and writer based on sox for bob and python
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bob/io/audio/utils.py deleted 100644 → 0
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#!/usr/bin/env python
# vim: set fileencoding=utf-8 :
# Andre Anjos <andre.dos.anjos@gmail.com>
# Thu 14 Mar 17:00:58 2013
#
# Copyright (C) 2011-2013 Idiap Research Institute, Martigny, Switzerland
"""Some utilities to generate fake patterns
"""
import numpy
DEFAULT_FONT = __import__('pkg_resources').resource_filename(__name__,
__import__('os').path.join("fonts", "regular.ttf"))
def estimate_fontsize(height, width, format):
"""Estimates the best fontsize to fit into a image that is (height, width)"""
try:
# if PIL is installed this works:
import Image, ImageFont, ImageDraw
except ImportError:
# if Pillow is installed, this works better:
from PIL import Image, ImageFont, ImageDraw
best_size = min(height, width)
fit = False
while best_size > 0:
font = ImageFont.truetype(DEFAULT_FONT, best_size)
(text_width, text_height) = font.getsize(format % 0)
if text_width < width and text_height < height: break
best_size -= 1
if best_size <= 0:
raise RuntimeError("Cannot find best size for font")
return best_size
def print_numbers(frame, counter, format, fontsize):
"""Generates an image that serves as a test pattern for encoding/decoding and
accuracy tests."""
try:
# if PIL is installed this works:
import Image, ImageFont, ImageDraw
except ImportError:
# if Pillow is installed, this works better:
from PIL import Image, ImageFont, ImageDraw
_, height, width = frame.shape
# text at the center, indicating the frame number
text = format % counter
dim = min(width, height)
font = ImageFont.truetype(DEFAULT_FONT, fontsize)
(text_width, text_height) = font.getsize(text)
x_pos = int((width - text_width) / 2)
y_pos = int((height - text_height) / 2)
# this is buggy in Pillow-2.0.0, so we do it manually
#img = Image.fromarray(frame.transpose(1,2,0))
# replace fromstring() to frombytes() as fromstring is depricated in Pillow since version 2.0
# img = Image.fromstring('RGB', (frame.shape[1], frame.shape[2]), frame.transpose(1,2,0).tostring())
# img = Image.frombytes('RGB', (frame.shape[1], frame.shape[2]), frame.transpose(1,2,0).tostring()) #For some reason there is no frombytes in UBUNTU 12 04
img = Image.frombuffer('RGB', (frame.shape[1], frame.shape[2]), frame.transpose(1,2,0).tostring(), 'raw', "RGB", 0,1 ) #This call seems weird, but I follow the instructions from here (http://pillow.readthedocs.org/en/3.0.x/reference/Image.html#PIL.Image.frombuffer). Following these instructions I don't get a warning
draw = ImageDraw.Draw(img)
draw.text((x_pos, y_pos), text, font=font, fill=(255,255,255))
return numpy.asarray(img).transpose(2,0,1)
def generate_colors(height, width, shift):
"""Generates an image that serves as a test pattern for encoding/decoding and
accuracy tests."""
retval = numpy.ndarray((3, height, width), dtype='uint8')
# standard color test pattern
w = width / 7; w2 = 2*w; w3 = 3*w; w4 = 4*w; w5 = 5*w; w6 = 6*w
retval[0,:,0:w] = 255; retval[1,:,0:w] = 255; retval[2,:,0:w] = 255;
retval[0,:,w:w2] = 255; retval[1,:,w:w2] = 255; retval[2,:,w:w2] = 0;
retval[0,:,w2:w3] = 0; retval[1,:,w2:w3] = 255; retval[2,:,w2:w3] = 255;
retval[0,:,w3:w4] = 0; retval[1,:,w3:w4] = 255; retval[2,:,w3:w4] = 0;
retval[0,:,w4:w5] = 255; retval[1,:,w4:w5] = 0; retval[2,:,w4:w5] = 255;
retval[0,:,w5:w6] = 255; retval[1,:,w5:w6] = 0; retval[2,:,w5:w6] = 0;
retval[0,:,w6:] = 0; retval[1,:,w6:] = 0; retval[2,:,w6:] = 255;
# rotate by 'shift'
retval = numpy.roll(retval, shift, axis=2)
return retval
def color_distortion(shape, framerate, format, codec, filename):
"""Returns distortion patterns for a set of frames with moving colors.
Keyword parameters:
shape (int, int, int)
The length (number of frames), height and width for the generated sequence
format
The string that identifies the format to be used for the output file
codec
The codec to be used for the output file
filename
The name of the file to use for encoding the test
"""
length, height, width = shape
from . import reader, writer
outv = writer(filename, height, width, framerate, codec=codec,
format=format, check=False)
orig = []
text_format = "%%0%dd" % len(str(length-1))
fontsize = estimate_fontsize(height, width, text_format)
fontsize = int(fontsize/4)
for i in range(0, length):
newframe = generate_colors(height, width, i%width)
newframe = print_numbers(newframe, i, text_format, fontsize)
outv.append(newframe)
orig.append(newframe)
outv.close()
orig = numpy.array(orig, dtype='uint8')
return orig, framerate, reader(filename, check=False)
def frameskip_detection(shape, framerate, format, codec, filename):
"""Returns distortion patterns for a set of frames with big numbers.
Keyword parameters:
shape (int, int, int)
The length (number of frames), height and width for the generated sequence
format
The string that identifies the format to be used for the output file
codec
The codec to be used for the output file
filename
The name of the file to use for encoding the test
"""
length, height, width = shape
from . import reader, writer
text_format = "%%0%dd" % len(str(length-1))
fontsize = estimate_fontsize(height, width, text_format)
outv = writer(filename, height, width, framerate, codec=codec,
format=format, check=False)
orig = []
for i in range(0, length):
newframe = numpy.zeros((3, height, width), dtype='uint8')
newframe = print_numbers(newframe, i, text_format, fontsize)
outv.append(newframe)
orig.append(newframe)
outv.close()
orig = numpy.array(orig, dtype='uint8')
return orig, framerate, reader(filename, check=False)
def quality_degradation(shape, framerate, format, codec, filename):
"""Returns noise patterns for a set of frames.
Keyword parameters:
shape (int, int, int)
The length (number of frames), height and width for the generated sequence
format
The string that identifies the format to be used for the output file
codec
The codec to be used for the output file
filename
The name of the file to use for encoding the test
"""
length, height, width = shape
from . import reader, writer
text_format = "%%0%dd" % len(str(length-1))
fontsize = estimate_fontsize(height, width, text_format)
fontsize = int(fontsize/4)
outv = writer(filename, height, width, framerate, codec=codec,
format=format, check=False)
orig = []
for i in range(0, length):
newframe = numpy.random.randint(0, 256, (3, height, width)).astype('uint8')
newframe = print_numbers(newframe, i, text_format, fontsize)
outv.append(newframe)
orig.append(newframe)
outv.close()
orig = numpy.array(orig, dtype='uint8')
return orig, framerate, reader(filename, check=False)
def is_string(s):
"""Returns ``True`` if the given object is a string
This method can be used with Python-2.x or 3.x and returns a string
respecting each environment's constraints.
"""
from sys import version_info
return (version_info[0] < 3 and isinstance(s, (str, unicode))) or \
isinstance(s, (bytes, str))
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