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 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 quitMatlab(): global engine if type(engine) == matlab.engine.matlabengine.MatlabEngine: engine.quit() engine = None