sensor_number = 6
length = 9 #move의 숫자열 길이
move = [] #예시=[[0,1,0,0,1,0,0,1,1],[1,0,0,1,0,0,1,0,1]]
tempmove = []
sensor = [] #예시=[[100,200],[200,300]]
tempsensor = []
param = 0
count = 0
#관심영역의 총 픽셀 계산
basic_png = spm.start(area_of_interest_list, [], detect_range)
basic_png.save_png()
total_pixel_of_interest = cp.convert_return_count("image_test0.png")
for i in range(sensor_number):
sensor.append(msp.area(area_of_interest_list).propercordinate())
'''
print(sensor)
sensor = [[100,200],[200,300]]
tempsensor= [[200,100],[300,200]]
print(total_pixel_of_interest)
'''
basic_png.change_sensor(sensor)
basic_png.save_png()
count += 1
obj = cp.convert_return_count("image_test" + str(count) + ".png")
max_coverage_percent_section = 0 #센서 배치 함수 개수 section의 커버율
area_of_interest_center_coordinate = sa.getCenter(
"image_test0.png") #무게중심 x,y 리스트 반환환
area_of_interest_getContour = sa.getContour(
sensor_number, "image_test0.png") #윤곽선에 sensor_number만큼의 점을 뽑는거
area_of_interest_spliced_list = sa.splitList(
area_of_interest_getContour, area_of_interest_list,
area_of_interest_center_coordinate, sensor_number)
#print(area_of_interest_spliced_list)
sensor_list_xy = []
for i in area_of_interest_spliced_list:
make_area_object = ma.area(i)
sensor_list_xy.append(make_area_object.propercordinate()) #좌표 뽑기
print(sensor_list_xy)
'''
for i in boundary_list:
for k in range(0,sensor_number):
#"area" + str(k) = msp.area(i)
#areak.propercordinate()
sensor_list = areak.makearea()
while(max_coverage_percent != 100):
for i in sensor_list:
break
# 변수
max_coverage_percent = 0 # 가장 큰 커버율 -> 이 커버율이 100퍼센트가 되면 종료
max_coverage_percent_section = [0] # 센서 배치 함수 개수 section 의 커버율
count = 1
sensor_count = []
sensor_number = 6
tempobj_portion = 0
print(area_of_interest_list)
#max(max_coverage_percent_section) <= 94
while len(max_coverage_percent_section) <= 7:
sensor_list_xy = []
make_area_object = ma.area(area_of_interest_list)
for i in range(0, sensor_number):
sensor_list_xy.append(make_area_object.propercordinate()) # 좌표 뽑기
basic_png.change_polygon(sensor_list_xy)
basic_png.save_png()
obj = cp.convert_return_count("image_test" + str(count) + ".png")
obj_portion = cp.convert_return_portion(obj, total_pixel_of_interest)
print(obj_portion)
if obj_portion >= tempobj_portion:
tempobj_portion = obj_portion
max_coverage_percent_section.append(tempobj_portion)
sensor_count.append(count)
print(count)