def _searchForObject(self):
alg_params = dict([('hes_threshold', self.hessian_threshold),
('min_match_num', self.min_match),
('good_distance', self.distance)])
self.master.config(cursor="wait")
self.master.update()
#print alg_params['hes_threshold']
try:
obj_index = self.select_li.curselection()[0]
objects = h.processFile('objects.csv')
objDetect.setupMatch(objects[obj_index][0], objects[obj_index][1],
alg_params)
except IndexError:
tkMessageBox.showinfo(
"Oops", "Please select an object from the list to locate")
self.master.config(cursor="")
self.master.update()
except socket.error:
tkMessageBox.showinfo(
"o Connection",
"The computer cannot connect to the robot.\nPlease ensure the robot is switched on and\nthe computer is connected to the robot WiFi."
)
self.master.config(cursor="")
self.master.update()
self.master.config(cursor="")
self.master.update()
def __init__(self, master):
self.master = master
self.master.title("DALA")
self.master.geometry('198x440')
self.hessian_threshold = 550
self.min_match = 20
self.distance = 0.6
self.search_lbl = Label(self.master, text="Select object to locate")
self.search_lbl.grid(row=1, column=0, columnspan=2, pady=(8, 0))
self.select_li = Listbox(self.master,
width=27,
height=15,
font=tkFont.Font(family="Helvetica", size=10))
self.objects = h.processFile('objects.csv')
setListboxItems(self.objects, self.select_li)
self.select_li.grid(row=2, column=0, columnspan=2, pady=2, padx=(3, 0))
self.search_btn = Button(self.master,
text="Locate",
command=self._searchForObject,
width=26,
height=2)
self.search_btn.grid(row=3,
column=0,
columnspan=2,
pady=(0, 15),
padx=(3, 0),
sticky="ew")
self.settings_btn = Button(self.master,
text="Settings",
command=self._openSettings,
width=26,
height=2)
self.settings_btn.grid(row=5,
column=0,
columnspan=2,
pady=3,
padx=(3, 0),
sticky="ew")
self.quit_btn = Button(self.master,
text="Quit",
command=master.destroy,
width=26,
height=2)
self.quit_btn.grid(row=6,
column=0,
columnspan=2,
padx=(3, 0),
sticky="ew")
def solve():
path = ''
errorFile = open('errorLog_task_b.txt', 'w')
# the following two lists will be used to plot the graph
cpu_time = []
first_seq_len = []
total_time = time.perf_counter()
sorted_files = getInstancesFiles(
__DIR__, sort=True) # sort the list of files (key = len(s1))
i = 0
for f in sorted_files:
path = f
print(path)
s1, s2 = processFile(path)
time_start = time.perf_counter()
try:
ans = prog_dyn(s1, s2)
i += 1
print(ans)
except MemoryError:
print('mem error')
continue
except TimeoutError:
msg = 'Timed out the following instance: ' + path
print(msg)
errorFile.write(msg + '\n')
continue
except KeyboardInterrupt:
break
time_elapsed = (time.perf_counter() - time_start) # in seconds
first_seq_len.append(len(s1))
cpu_time.append(time_elapsed)
errorFile.close()
print("It took " + str(time.perf_counter() - total_time) +
" secs to process all the " + str(i) + " instances.")
x = np.array(first_seq_len)
y = np.array(cpu_time)
d = {'|x|': x, 'time (s)': y}
data = pd.DataFrame(d)
sns.set(style='darkgrid')
sns.lineplot(x='|x|', y='time (s)', data=data)
plt.title(
'PROG_DYN: courbe de consommation de temps CPU en fonction de la taille |x|'
)
plt.savefig('task_b.png', dpi=300)
plt.show()
with open('plotted_values_task_b.txt', 'a+') as f:
f.write('\n')
f.write(str(list(x)))
f.write('\n')
f.write(str(list(y)))
f.write('\n\n')
from functions import dist_1, dist_2
from helper import processFile
import pdb
if __name__ == '__main__':
s1, s2 = processFile('Instances_genome/Inst_0000015_76.adn')
print(dist_2(s1, s2))