ffmpeg-python/ffmpeg/_run.py at tensorflow-stream-example · Kumius/ffmpeg-python · GitHub

Repository navigation

History

100

101

102

103

104

105

106

107

108

109

110

111

112

113

114

115

116

117

118

119

120

121

122

123

124

125

126

127

128

129

130

131

132

133

134

135

136

137

138

139

140

141

142

143

144

145

146

147

148

149

150

151

152

153

154

155

156

157

158

159

160

161

162

163

164

165

166

167

168

169

170

171

172

173

174

175

176

177

178

179

180

181

182

183

184

185

186

187

188

189

190

191

192

193

194

195

196

197

198

199

200

201

202

203

204

205

206

207

208

209

210

211

212

213

214

215

216

217

218

219

220

221

from __future__ import unicode_literals

from .dag import get_outgoing_edges, topo_sort

from ._utils import basestring

from builtins import str

from functools import reduce

import collections

import copy

import operator

import subprocess

from ._ffmpeg import (

input,

output,

)

from .nodes import (

get_stream_spec_nodes,

FilterNode,

GlobalNode,

InputNode,

OutputNode,

output_operator,

)

class Error(Exception):

def __init__(self, cmd, stdout, stderr):

super(Error, self).__init__('{} error (see stderr output for detail)'.format(cmd))

self.stdout = stdout

self.stderr = stderr

def _convert_kwargs_to_cmd_line_args(kwargs):

args = []

for k in sorted(kwargs.keys()):

v = kwargs[k]

args.append('-{}'.format(k))

if v is not None:

args.append('{}'.format(v))

return args

def _get_input_args(input_node):

if input_node.name == input.__name__:

kwargs = copy.copy(input_node.kwargs)

filename = kwargs.pop('filename')

fmt = kwargs.pop('format', None)

video_size = kwargs.pop('video_size', None)

args = []

if fmt:

args += ['-f', fmt]

if video_size:

args += ['-video_size', '{}x{}'.format(video_size[0], video_size[1])]

args += _convert_kwargs_to_cmd_line_args(kwargs)

args += ['-i', filename]

else:

raise ValueError('Unsupported input node: {}'.format(input_node))

return args

def _format_input_stream_name(stream_name_map, edge, is_final_arg=False):

prefix = stream_name_map[edge.upstream_node, edge.upstream_label]

if not edge.upstream_selector:

suffix = ''

else:

suffix = ':{}'.format(edge.upstream_selector)

if is_final_arg and isinstance(edge.upstream_node, InputNode):

## Special case: `-map` args should not have brackets for input

## nodes.

fmt = '{}{}'

else:

fmt = '[{}{}]'

return fmt.format(prefix, suffix)

def _format_output_stream_name(stream_name_map, edge):

return '[{}]'.format(stream_name_map[edge.upstream_node, edge.upstream_label])

def _get_filter_spec(node, outgoing_edge_map, stream_name_map):

incoming_edges = node.incoming_edges

outgoing_edges = get_outgoing_edges(node, outgoing_edge_map)

inputs = [_format_input_stream_name(stream_name_map, edge) for edge in incoming_edges]

outputs = [_format_output_stream_name(stream_name_map, edge) for edge in outgoing_edges]

filter_spec = '{}{}{}'.format(''.join(inputs), node._get_filter(outgoing_edges), ''.join(outputs))

return filter_spec

def _allocate_filter_stream_names(filter_nodes, outgoing_edge_maps, stream_name_map):

stream_count = 0

for upstream_node in filter_nodes:

outgoing_edge_map = outgoing_edge_maps[upstream_node]

for upstream_label, downstreams in list(outgoing_edge_map.items()):

if len(downstreams) > 1:

# TODO: automatically insert `splits` ahead of time via graph transformation.

raise ValueError(

'Encountered {} with multiple outgoing edges with same upstream label {!r}; a '

'`split` filter is probably required'.format(upstream_node, upstream_label))

stream_name_map[upstream_node, upstream_label] = 's{}'.format(stream_count)

stream_count += 1

def _get_filter_arg(filter_nodes, outgoing_edge_maps, stream_name_map):

_allocate_filter_stream_names(filter_nodes, outgoing_edge_maps, stream_name_map)

filter_specs = [_get_filter_spec(node, outgoing_edge_maps[node], stream_name_map) for node in filter_nodes]

return ';'.join(filter_specs)

def _get_global_args(node):

return list(node.args)

def _get_output_args(node, stream_name_map):

if node.name != output.__name__:

raise ValueError('Unsupported output node: {}'.format(node))

args = []

if len(node.incoming_edges) == 0:

raise ValueError('Output node {} has no mapped streams'.format(node))

for edge in node.incoming_edges:

# edge = node.incoming_edges[0]

stream_name = _format_input_stream_name(stream_name_map, edge, is_final_arg=True)

if stream_name != '0' or len(node.incoming_edges) > 1:

args += ['-map', stream_name]

kwargs = copy.copy(node.kwargs)

filename = kwargs.pop('filename')

if 'format' in kwargs:

args += ['-f', kwargs.pop('format')]

if 'video_bitrate' in kwargs:

args += ['-b:v', str(kwargs.pop('video_bitrate'))]

if 'audio_bitrate' in kwargs:

args += ['-b:a', str(kwargs.pop('audio_bitrate'))]

if 'video_size' in kwargs:

video_size = kwargs.pop('video_size')

if not isinstance(video_size, basestring) and isinstance(video_size, collections.Iterable):

video_size = '{}x{}'.format(video_size[0], video_size[1])

args += ['-video_size', video_size]

args += _convert_kwargs_to_cmd_line_args(kwargs)

args += [filename]

return args

@output_operator()

def get_args(stream_spec, overwrite_output=False):

"""Build command-line arguments to be passed to ffmpeg."""

nodes = get_stream_spec_nodes(stream_spec)

args = []

# TODO: group nodes together, e.g. `-i somefile -r somerate`.

sorted_nodes, outgoing_edge_maps = topo_sort(nodes)

input_nodes = [node for node in sorted_nodes if isinstance(node, InputNode)]

output_nodes = [node for node in sorted_nodes if isinstance(node, OutputNode)]

global_nodes = [node for node in sorted_nodes if isinstance(node, GlobalNode)]

filter_nodes = [node for node in sorted_nodes if isinstance(node, FilterNode)]

stream_name_map = {(node, None): str(i) for i, node in enumerate(input_nodes)}

filter_arg = _get_filter_arg(filter_nodes, outgoing_edge_maps, stream_name_map)

args += reduce(operator.add, [_get_input_args(node) for node in input_nodes])

if filter_arg:

args += ['-filter_complex', filter_arg]

args += reduce(operator.add, [_get_output_args(node, stream_name_map) for node in output_nodes])

args += reduce(operator.add, [_get_global_args(node) for node in global_nodes], [])

if overwrite_output:

args += ['-y']

return args

@output_operator()

def compile(stream_spec, cmd='ffmpeg', overwrite_output=False):

"""Build command-line for invoking ffmpeg.

The :meth:`run` function uses this to build the commnad line

arguments and should work in most cases, but calling this function

directly is useful for debugging or if you need to invoke ffmpeg

manually for whatever reason.

This is the same as calling :meth:`get_args` except that it also

includes the ``ffmpeg`` command as the first argument.

"""

if isinstance(cmd, basestring):

cmd = [cmd]

elif type(cmd) != list:

cmd = list(cmd)

return cmd + get_args(stream_spec, overwrite_output=overwrite_output)

@output_operator()

def run(

stream_spec, cmd='ffmpeg', capture_stdout=False, capture_stderr=False, input=None,

quiet=False, overwrite_output=False):

"""Ivoke ffmpeg for the supplied node graph.

Args:

capture_stdout: if True, capture stdout (to be used with

``pipe:`` ffmpeg outputs).

capture_stderr: if True, capture stderr.

quiet: shorthand for setting ``capture_stdout`` and ``capture_stderr``.

input: text to be sent to stdin (to be used with ``pipe:``

ffmpeg inputs)

**kwargs: keyword-arguments passed to ``get_args()`` (e.g.

``overwrite_output=True``).

Returns: (out, err) tuple containing captured stdout and stderr data.

"""

args = compile(stream_spec, cmd, overwrite_output=overwrite_output)

stdin_stream = subprocess.PIPE if input else None

stdout_stream = subprocess.PIPE if capture_stdout or quiet else None

stderr_stream = subprocess.PIPE if capture_stderr or quiet else None

p = subprocess.Popen(args, stdin=stdin_stream, stdout=stdout_stream, stderr=stderr_stream)

out, err = p.communicate(input)

retcode = p.poll()

if retcode:

raise Error('ffmpeg', out, err)

return out, err

__all__ = [

'compile',

'Error',

'get_args',

'run',

]

ffmpeg-python/ffmpeg/_run.py at tensorflow-stream-example · Kumius/ffmpeg-python · GitHub

Repository navigation

Expand file tree

Breadcrumbs

_run.py

Latest commit

History

Breadcrumbs

_run.py

File metadata and controls