Fix Vamp Simple host analyzer to support default empty parameter

diff --git a/tests/api/exempleCMMR_vamp.py b/tests/api/exempleCMMR_vamp.py
index eccaeb0ae753e6521a1f5b93f59d1dcc2f5877c2..a0343aed73dac937a358760e1cf364de913c2b18 100644 (file)
--- a/tests/api/exempleCMMR_vamp.py
+++ b/tests/api/exempleCMMR_vamp.py
@@ -15,7 +15,7 @@ wav_file = sys.argv[-1]
 #wav_file =  '/home/thomas/code/timeside/voix.wav'
 
 # normal
-d = timeside.decoder.FileDecoder(wav_file, start=0, duration=10)
+d = timeside.decoder.FileDecoder(wav_file)
 
 specgram = timeside.analyzer.Spectrogram()
 waveform = timeside.analyzer.Waveform()
@@ -36,7 +36,8 @@ print my_plugin
 
 #
 # Vamp plugin Analyzer
-vamp = timeside.analyzer.VampSimpleHost([my_plugin])
+#vamp = timeside.analyzer.VampSimpleHost([my_plugin])
+vamp = timeside.analyzer.VampSimpleHost()
 
 #
 myPipe = (d | vamp | specgram | waveform).run()

diff --git a/timeside/analyzer/core.py b/timeside/analyzer/core.py
index e7c77da3a1fe4b0c6fe79fb781d6088a4b300be1..2d50b432d0890e52c35dd7c369239e4474fd645e 100644 (file)
--- a/timeside/analyzer/core.py
+++ b/timeside/analyzer/core.py
@@ -337,8 +337,6 @@ class DataObject(MetadataObject):
                     raise TypeError(
                         'Result Data can not accept type %s for %s' %
                         (value.dtype.type, name))
-            elif name == 'dataType':
-                return
 
         super(DataObject, self).__setattr__(name, value)
 

diff --git a/timeside/analyzer/vamp_plugin.py b/timeside/analyzer/vamp_plugin.py
index 9561929feeeaa18e66287398f5b60ef2d5e6e3a8..5e64505ed4fb7b6aa5eed907f5ac6cc3d219cf74 100644 (file)
--- a/timeside/analyzer/vamp_plugin.py
+++ b/timeside/analyzer/vamp_plugin.py
@@ -33,8 +33,8 @@ class VampSimpleHost(Analyzer):
     def __init__(self, plugin_list=None):
 
         if plugin_list is None:
-            #plugin_list = self.get_plugins_list()
-            plugin_list = [['vamp-example-plugins', 'percussiononsets', 'detectionfunction']]
+            plugin_list = self.get_plugins_list()
+            #plugin_list = [['vamp-example-plugins', 'percussiononsets', 'detectionfunction']]
 
         self.plugin_list = plugin_list
 
@@ -71,39 +71,42 @@ class VampSimpleHost(Analyzer):
         for plugin_line in self.plugin_list:
 
             plugin = ':'.join(plugin_line)
-            (blocksize, stepsize, values) = self.vamp_plugin(plugin, wavfile)
+            (time, duration, value) = self.vamp_plugin(plugin, wavfile)
 
-            self.result_blocksize = blocksize
-            self.result_stepsize = stepsize
-            self.result_samplerate = self.mediainfo()['samplerate']
+            if duration is not None:
+                plugin_res = self.new_result(data_mode='value', time_mode='segment')
+                plugin_res.data_object.duration = duration
+            else:
+                plugin_res = self.new_result(data_mode='value', time_mode='event')
 
-            plugin_res = self.new_result(data_mode='value', time_mode='framewise')
+            plugin_res.data_object.time = time
+            plugin_res.data_object.value = value
 
-            # Fix strat, duration issues if audio is a segment
-            if self.mediainfo()['is_segment']:
-                start_index = np.floor(self.mediainfo()['start'] *
-                                       self.result_samplerate /
-                                       self.result_stepsize)
 
-                stop_index = np.ceil((self.mediainfo()['start'] +
-                                      self.mediainfo()['duration']) *
-                                     self.result_samplerate /
-                                     self.result_stepsize)
-
-                fixed_start = (start_index * self.result_stepsize /
-                               self.result_samplerate)
-                fixed_duration = ((stop_index - start_index) * self.result_stepsize /
-                                  self.result_samplerate)
-
-                plugin_res.audio_metadata.start = fixed_start
-                plugin_res.audio_metadata.duration = fixed_duration
-
-                values = values[start_index:stop_index + 1]
+#            # Fix strat, duration issues if audio is a segment
+#            if self.mediainfo()['is_segment']:
+#                start_index = np.floor(self.mediainfo()['start'] *
+#                                       self.result_samplerate /
+#                                       self.result_stepsize)
+#
+#                stop_index = np.ceil((self.mediainfo()['start'] +
+#                                      self.mediainfo()['duration']) *
+#                                     self.result_samplerate /
+#                                     self.result_stepsize)
+#
+#                fixed_start = (start_index * self.result_stepsize /
+#                               self.result_samplerate)
+#                fixed_duration = ((stop_index - start_index) * self.result_stepsize /
+#                                  self.result_samplerate)
+#
+#                plugin_res.audio_metadata.start = fixed_start
+#                plugin_res.audio_metadata.duration = fixed_duration
+#
+#                value = value[start_index:stop_index + 1]
 
             plugin_res.id_metadata.id += '.' + '.'.join(plugin_line[1:])
             plugin_res.id_metadata.name += ' ' + \
                 ' '.join(plugin_line[1:])
-            plugin_res.data_object.value = values
 
             self._results.add(plugin_res)
 
@@ -128,10 +131,19 @@ class VampSimpleHost(Analyzer):
         blocksize = int(m.groups()[0])
         stepsize = int(m.groups()[1])
         # Get the results
-        values = np.asfarray([line.split(': ')[1] for line in res])
-        # TODO int support ?
 
-        return (blocksize, stepsize, values)
+        value = np.asfarray([line.split(': ')[1].split(' ') for line in res if (len(line.split(': ')) > 1)])
+        time = np.asfarray([r.split(':')[0].split(',')[0] for r in res])
+
+        time_len = len(res[0].split(':')[0].split(','))
+        if time_len == 1:
+            # event
+            duration = None
+        elif time_len == 2:
+            # segment
+            duration = np.asfarray([r.split(':')[0].split(',')[1] for r in res])
+
+        return (time, duration, value)
 
     @staticmethod
     def get_plugins_list():