comparison pdfextract/parseMarsyas.py @ 1:365a37a2fb6c

added files from pdfextract directory

+import rdflib, os, fnmatch
+from rdflib import Graph, RDF, RDFS, plugin, URIRef, Literal
+
+execfile('/Users/alo/Downloads/python-Levenshtein-0.10.2/StringMatcher.py')
+
+mdir = '/Users/alo/Development/MIR/marsyas-0.4.7/src/marsyas/'
+#magraph = Graph()
+madict = {}
+#current = Graph()
+#current.parse('docfeatures.rdf')
+
+abbr = {
+	"Zero Crossing Rate": "ZCR",
+	"Mel-Frequency Cepstral Coefficients": "MFCC",
+    "Linear Predictive Coding": "LPC",
+    "Zero crossing peak amplitudes": "ZCPA",
+    "Line spectral frequencies": "LSF",
+    "Short-time energy": "STE",
+    "Amplitude descriptor":  "AD",
+    "Adaptive time frequency transform": "ATFT",
+    "Daubechies Wavelet coefficient histogram": "DWCH",
+    "Spectral Flux": "SF",
+    "Group delay function": "GDF",
+    "Modified group delay function": "MGDF",
+    "Spectral centroid": "SC",
+    "Subband spectral flux": "SSF",
+    "Perceptual linear prediction": "PLP"
+}
+
+for name in os.listdir(mdir):
+    if fnmatch.fnmatch(name, '*.h'):
+        code = [line.strip() for line in open(mdir + name)]
+        found = False
+        for line in code:
+            if line.find('\ingroup Analysis') >= 0:
+                found = True
+                break
+        
+        if found:
+            i = 0
+            cl = ''
+            for line in code:
+                if line.find('\class') >= 0:
+                    cl = line.split(' ')[-1]
+                    madict[cl] = {'brief': code[i+2][7:]} 
+                    if code[i+3] != '':
+                        madict[cl]['brief'] += code[i+3]
+                        
+                    break
+                    
+                i += 1
+                        
+            score = 100
+            madict[cl]['score'] = 100
+            madict[cl]['name'] = ""
+            for s, p, o in current.triples((None, None, RDFS.Resource)):                                    
+                for cs, cp, name in current.triples((s, URIRef('http://sovarr.c4dm.eecs.qmul.ac.uk/features/feature'), None)):
+                    m = StringMatcher()
+                    m.set_seqs(Literal(cl), name)
+                    sc = float(m.distance()) / ((len(cl) + len(name)) / 2.0)
+                    if sc < score:
+                        madict[cl]['score'] = 1.0 - sc
+                        madict[cl]['name'] = name
+                        score = sc
+            
+            if madict[cl]['score'] < 0.75:                
+                for k in abbr.keys():
+                    if abbr[k] == cl:
+                        madict[cl]['score'] = 1.0
+                        madict[cl]['name'] = k
+