Package echonest :: Package remix :: Module video
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Module video

source code

video.py

Framework that turns video into silly putty.

Created by Robert Ochshorn on 2008-5-30. Refactored by Ben Lacker on 2009-6-18. Copyright (c) 2008 The Echo Nest Corporation. All rights reserved.


Version: 1.6.1

Classes [hide private]
  ImageSequence
  EditableFrames
Collection of frames that can be easily edited
  VideoSettings
simple container for video settings
  SynchronizedAV
SynchronizedAV has audio and video; cuts return new SynchronizedAV objects
Functions [hide private]
 
loadav(videofile, verbose=True) source code
 
loadavfrombundle(dir) source code
 
loadavfromyoutube(url, verbose=True)
returns an editable sequence from a youtube video
source code
 
youtubedl(url, verbose=True)
downloads a video from youtube and returns the file object
source code
 
getpieces(video, segs) source code
 
sequencefromyoutube(url, settings=None, dir=None, pre='frame-', verbose=True)
returns an editable sequence from a youtube video
source code
 
sequencefromdir(dir, ext=None, settings=None)
returns an image sequence with lexographically-ordered images from a directory
source code
 
sequencefrommov(mov, settings=None, direc=None, pre='frame-', verbose=True)
full-quality video import from stills. will save frames to tempspace if no directory is given
source code
 
sequencetomovie(outfile, seq, audio=None, verbose=True)
renders sequence to a movie file, perhaps with an audio track
source code
 
convertmov(infile, outfile=None, settings=None, verbose=True)
Converts a movie file to a new movie file with different settings.
source code
 
settingsfromffmpeg(parsestring)
takes ffmpeg output and returns a VideoSettings object mimicking the input video
source code
 
ffmpeg_error_check(parsestring) source code
Variables [hide private]
  ALLOW_THREADS = 1
  BUFSIZE = 8192
  CLIP = 0
  ERR_CALL = 3
  ERR_DEFAULT = 0
  ERR_DEFAULT2 = 521
  ERR_IGNORE = 0
  ERR_LOG = 5
  ERR_PRINT = 4
  ERR_RAISE = 2
  ERR_WARN = 1
  FLOATING_POINT_SUPPORT = 1
  FPE_DIVIDEBYZERO = 1
  FPE_INVALID = 8
  FPE_OVERFLOW = 2
  FPE_UNDERFLOW = 4
  False_ = False
  Inf = inf
  Infinity = inf
  MAXDIMS = 32
  NAN = nan
  NINF = -inf
  NZERO = -0.0
  NaN = nan
  PINF = inf
  PZERO = 0.0
  RAISE = 2
  SHIFT_DIVIDEBYZERO = 0
  SHIFT_INVALID = 9
  SHIFT_OVERFLOW = 3
  SHIFT_UNDERFLOW = 6
  ScalarType = (<type 'int'>, <type 'float'>, <type 'complex'>, ...
  True_ = True
  UFUNC_BUFSIZE_DEFAULT = 8192
  UFUNC_PYVALS_NAME = 'UFUNC_PYVALS'
  WRAP = 1
  __package__ = 'echonest.remix'
  absolute = <ufunc 'absolute'>
  add = <ufunc 'add'>
  arccos = <ufunc 'arccos'>
  arccosh = <ufunc 'arccosh'>
  arcsin = <ufunc 'arcsin'>
  arcsinh = <ufunc 'arcsinh'>
  arctan = <ufunc 'arctan'>
  arctan2 = <ufunc 'arctan2'>
  arctanh = <ufunc 'arctanh'>
  bitwise_and = <ufunc 'bitwise_and'>
  bitwise_not = <ufunc 'invert'>
  bitwise_or = <ufunc 'bitwise_or'>
  bitwise_xor = <ufunc 'bitwise_xor'>
  c_ = <numpy.lib.index_tricks.CClass object at 0x1690510>
  cast = {<type 'numpy.int16'>: <function <lambda> at 0x155a7d0>...
  ceil = <ufunc 'ceil'>
  conj = <ufunc 'conjugate'>
  conjugate = <ufunc 'conjugate'>
  copysign = <ufunc 'copysign'>
  cos = <ufunc 'cos'>
  cosh = <ufunc 'cosh'>
  deg2rad = <ufunc 'deg2rad'>
  degrees = <ufunc 'degrees'>
  divide = <ufunc 'divide'>
  e = 2.71828182846
  equal = <ufunc 'equal'>
  exp = <ufunc 'exp'>
  exp2 = <ufunc 'exp2'>
  expm1 = <ufunc 'expm1'>
  fabs = <ufunc 'fabs'>
  floor = <ufunc 'floor'>
  floor_divide = <ufunc 'floor_divide'>
  fmax = <ufunc 'fmax'>
  fmin = <ufunc 'fmin'>
  fmod = <ufunc 'fmod'>
  frexp = <ufunc 'frexp'>
  greater = <ufunc 'greater'>
  greater_equal = <ufunc 'greater_equal'>
  hypot = <ufunc 'hypot'>
  index_exp = <numpy.lib.index_tricks.IndexExpression object at ...
  inf = inf
  infty = inf
  invert = <ufunc 'invert'>
  isfinite = <ufunc 'isfinite'>
  isinf = <ufunc 'isinf'>
  isnan = <ufunc 'isnan'>
  ldexp = <ufunc 'ldexp'>
  left_shift = <ufunc 'left_shift'>
  less = <ufunc 'less'>
  less_equal = <ufunc 'less_equal'>
  little_endian = True
  log = <ufunc 'log'>
  log10 = <ufunc 'log10'>
  log1p = <ufunc 'log1p'>
  log2 = <ufunc 'log2'>
  logaddexp = <ufunc 'logaddexp'>
  logaddexp2 = <ufunc 'logaddexp2'>
  logical_and = <ufunc 'logical_and'>
  logical_not = <ufunc 'logical_not'>
  logical_or = <ufunc 'logical_or'>
  logical_xor = <ufunc 'logical_xor'>
  maximum = <ufunc 'maximum'>
  mgrid = <numpy.lib.index_tricks.nd_grid object at 0x1690450>
  minimum = <ufunc 'minimum'>
  mod = <ufunc 'remainder'>
  modf = <ufunc 'modf'>
  multiply = <ufunc 'multiply'>
  nan = nan
  nbytes = {<type 'numpy.int16'>: 2, <type 'numpy.uint16'>: 2, <...
  negative = <ufunc 'negative'>
  newaxis = None
hash(x)
  nextafter = <ufunc 'nextafter'>
  not_equal = <ufunc 'not_equal'>
  ogrid = <numpy.lib.index_tricks.nd_grid object at 0x1690490>
  ones_like = <ufunc 'ones_like'>
  pi = 3.14159265359
  power = <ufunc 'power'>
  r_ = <numpy.lib.index_tricks.RClass object at 0x16904d0>
  rad2deg = <ufunc 'rad2deg'>
  radians = <ufunc 'radians'>
  reciprocal = <ufunc 'reciprocal'>
  remainder = <ufunc 'remainder'>
  right_shift = <ufunc 'right_shift'>
  rint = <ufunc 'rint'>
  s_ = <numpy.lib.index_tricks.IndexExpression object at 0x1690610>
  sctypeDict = {0: <type 'numpy.bool_'>, 1: <type 'numpy.int8'>,...
  sctypeNA = {'?': 'Bool', 'B': 'UInt8', 'Bool': <type 'numpy.bo...
  sctypes = {'complex': [<type 'numpy.complex64'>, <type 'numpy....
  sign = <ufunc 'sign'>
  signbit = <ufunc 'signbit'>
  sin = <ufunc 'sin'>
  sinh = <ufunc 'sinh'>
  spacing = <ufunc 'spacing'>
  sqrt = <ufunc 'sqrt'>
  square = <ufunc 'square'>
  subtract = <ufunc 'subtract'>
  tan = <ufunc 'tan'>
  tanh = <ufunc 'tanh'>
  true_divide = <ufunc 'true_divide'>
  trunc = <ufunc 'trunc'>
  typeDict = {0: <type 'numpy.bool_'>, 1: <type 'numpy.int8'>, 2...
  typeNA = {'?': 'Bool', 'B': 'UInt8', 'Bool': <type 'numpy.bool...
  typecodes = {'All': '?bhilqpBHILQPefdgFDGSUVOMm', 'AllFloat': ...
Variables Details [hide private]

ScalarType

Value:
(<type 'int'>,
 <type 'float'>,
 <type 'complex'>,
 <type 'long'>,
 <type 'bool'>,
 <type 'str'>,
 <type 'unicode'>,
 <type 'buffer'>,
...

cast

Value:
{<type 'numpy.int16'>: <function <lambda> at 0x155a7d0>, <type 'numpy.\
uint16'>: <function <lambda> at 0x155a848>, <type 'numpy.float64'>: <f\
unction <lambda> at 0x155a8c0>, <type 'numpy.object_'>: <function <lam\
bda> at 0x155a938>, <type 'numpy.datetime64'>: <function <lambda> at 0\
x155a9b0>, <type 'numpy.int32'>: <function <lambda> at 0x155aa28>, <ty\
pe 'numpy.uint32'>: <function <lambda> at 0x155aaa0>, <type 'numpy.flo\
at128'>: <function <lambda> at 0x155ab18>, <type 'numpy.string_'>: <fu\
nction <lambda> at 0x155ab90>, <type 'numpy.timedelta64'>: <function <\
...

index_exp

Value:
<numpy.lib.index_tricks.IndexExpression object at 0x1690590>

nbytes

Value:
{<type 'numpy.int16'>: 2, <type 'numpy.uint16'>: 2, <type 'numpy.float\
64'>: 8, <type 'numpy.object_'>: 8, <type 'numpy.datetime64'>: 8, <typ\
e 'numpy.int32'>: 4, <type 'numpy.uint32'>: 4, <type 'numpy.float128'>\
: 16, <type 'numpy.string_'>: 0, <type 'numpy.timedelta64'>: 8, <type \
'numpy.int64'>: 8, <type 'numpy.uint64'>: 8, <type 'numpy.complex64'>:\
 8, <type 'numpy.unicode_'>: 0, <type 'numpy.float16'>: 2, <type 'nump\
y.bool_'>: 1, <type 'numpy.int64'>: 8, <type 'numpy.uint64'>: 8, <type\
 'numpy.complex128'>: 16, <type 'numpy.void'>: 0, <type 'numpy.int8'>:\
...

sctypeDict

Value:
{0: <type 'numpy.bool_'>,
 1: <type 'numpy.int8'>,
 2: <type 'numpy.uint8'>,
 3: <type 'numpy.int16'>,
 4: <type 'numpy.uint16'>,
 5: <type 'numpy.int32'>,
 6: <type 'numpy.uint32'>,
 7: <type 'numpy.int64'>,
...

sctypeNA

Value:
{'?': 'Bool',
 'B': 'UInt8',
 'Bool': <type 'numpy.bool_'>,
 'Complex128': <type 'numpy.complex256'>,
 'Complex32': <type 'numpy.complex64'>,
 'Complex64': <type 'numpy.complex128'>,
 'D': 'Complex64',
 'Datetime64': <type 'numpy.datetime64'>,
...

sctypes

Value:
{'complex': [<type 'numpy.complex64'>,
             <type 'numpy.complex128'>,
             <type 'numpy.complex256'>],
 'float': [<type 'numpy.float16'>,
           <type 'numpy.float32'>,
           <type 'numpy.float64'>,
           <type 'numpy.float128'>],
 'int': [<type 'numpy.int8'>, <type 'numpy.int16'>, <type 'numpy.int32\
...

typeDict

Value:
{0: <type 'numpy.bool_'>,
 1: <type 'numpy.int8'>,
 2: <type 'numpy.uint8'>,
 3: <type 'numpy.int16'>,
 4: <type 'numpy.uint16'>,
 5: <type 'numpy.int32'>,
 6: <type 'numpy.uint32'>,
 7: <type 'numpy.int64'>,
...

typeNA

Value:
{'?': 'Bool',
 'B': 'UInt8',
 'Bool': <type 'numpy.bool_'>,
 'Complex128': <type 'numpy.complex256'>,
 'Complex32': <type 'numpy.complex64'>,
 'Complex64': <type 'numpy.complex128'>,
 'D': 'Complex64',
 'Datetime64': <type 'numpy.datetime64'>,
...

typecodes

Value:
{'All': '?bhilqpBHILQPefdgFDGSUVOMm',
 'AllFloat': 'efdgFDG',
 'AllInteger': 'bBhHiIlLqQpP',
 'Character': 'c',
 'Complex': 'FDG',
 'Datetime': 'Mm',
 'Float': 'efdg',
 'Integer': 'bhilqp',
...