def compute_fmeasure(db_path, seg_path, sys_type):
# import pdb; pdb.set_trace()
engine = create_engine()
# engine.addpath(r'C:\Users\Siphiwe Phiri\Desktop\weizmann-image_segmantation', nargout=0)
res = engine.ComputeFMeasure(db_path, seg_path, sys_type)
engine.quit()
return res
def py_mat_read_imageJ_roi(path, rc):
engine = matlab.engine.start_matlab()
r = rc[0]
c = rc[1]
ret = engine.read_ImageJ_roi(path, r, c)
engine.quit()
return mat(ret)
def terminate_matlab_engine(app, exception):
global engine
if engine is not None:
engine.quit()
engine = None
def terminate_matlab_engine(app, exception):
global engine
if engine is not None:
engine.quit()
engine = None
def main():
engine = matlab.engine.start_matlab()
basic(engine)
call_matlab_function(engine)
call_user_function(engine)
engine.quit()
elems = line.split(';')
genres = eval(elems[1])
genre_members.close()
return genres
# makes a list of all different genres in the data
def createGenreSet():
genre_members = open('data/membership_of_genres.csv', 'r')
allGenres = []
allGenres = set(allGenres)
line = genre_members.readline()
while line:
elems = line.split(';')
genres = eval(elems[1])
for i in range(len(genres)):
genre, member = genres[i]
if member not in allGenres:
allGenres.add(genre)
line = genre_members.readline()
genre_members.close()
return allGenres
# main
FLS(2)
# close connection with MATLAB
engine.quit()
def quit_matlab(engine):
engine.quit()
def destroy(proc_index):
if engine:
engine.quit()
def quitMatlab():
global engine
if type(engine)== matlab.engine.matlabengine.MatlabEngine:
engine.quit()
engine = None
def stop_engine(engine):
if engine is not None:
engine.quit()
def destroy(proc_index):
if engine:
engine.quit()
def quitMatlab():
global engine
if type(engine) == matlab.engine.matlabengine.MatlabEngine:
engine.quit()
engine = None
