def judge_reido_scene(image = None):
"""
戦闘・非戦闘状態関係なくレイドの場面を判断する.
"""
if(image == None):
image = getCurrentImage()
image = get_normalized_image(image)
non_key, non_sim = recognize(
image,
recog.match_rgb,
0.80,
scene_reido_dictionary
)
non_sim = non_sim * 0.75 / 0.80
battle_key, battle_sim = recog.recognize(
input_image = image,
match = calc_sim_b,
threshold = 0.75,
dictionary = dictionary_scene
)
if(battle_sim >= non_sim):
return battle_key
return non_key
def judge_panel_color(num, image = None):
if(image == None):
image = getCurrentImage()
image = get_normalized_image(image)
image = crop_box_left_down(panel_rects[num], image)
is_red = False
is_blue = False
is_yellow = False
for i, dic in enumerate(panel_dictionaries):
key = recog.recognize(
image,
recog.match_rgb,
0.0,
dic
)
if(key == "red"):
is_red = True
elif(key == "yellow"):
is_yellow = True
elif(key == "blue"):
is_blue = True
color_size = 0
if(is_red):
color_size += 1
if(is_yellow):
color_size += 1
if(is_blue):
color_size += 1
return color_size, (1 if is_red else 0, 1 if is_yellow else 0, 1 if is_blue else 0)
def judge_scene_color(image=None):
if (image == None):
image = getCurrentImage()
image = get_normalized_image(image)
key, sim = recog.recognize(image, recog.match_rgb, 0.92,
scene_color_dictionary)
return key
def judge_erratum(image=None):
# 正解か不正解かを判定する.
if (image == None):
image = getCurrentImage()
image = get_normalized_image(image)
key, sim = recog.recognize(image, recog.match_answer_erratum, 0.0,
erratum_dictionary)
return key
def judge_panels(image = None):
if(image == None):
image = getCurrentImage()
image = get_normalized_image(image)
ret = [None] * 4
for i in range(len(ret)):
ret[i] = judge_panel_color(i, image)
return ret
def judge_ans_num(image = None):
if(image == None):
image = getCurrentImage()
image = get_normalized_image(image)
key, sim = recognize(
image,
recog.match_rgb,
0.76,
ans_select_dictionary
)
return key
def judge_non_battle_scene(image = None):
if(image == None):
image = getCurrentImage()
image = get_normalized_image(image)
key, sim = recognize(
image,
recog.match_rgb,
0.82,
scene_reido_dictionary
)
return key
def judge_scene(image=None):
# クエスト時における現在の状態を判別する
# ジャンル選択、問題、などがある.
if (image == None):
image = getCurrentImage()
image = get_normalized_image(image)
key, sim = recog.recognize(input_image=image,
match=calc_sim_b,
threshold=0.75,
dictionary=dictionary_scene)
return key
def judge_scene_color(image = None):
if(image == None):
image = getCurrentImage()
image = get_normalized_image(image)
key, sim = recog.recognize(
image,
recog.match_rgb,
0.92,
scene_color_dictionary
)
return key
def judge_erratum(image = None):
# 正解か不正解かを判定する.
if(image == None):
image = getCurrentImage()
image = get_normalized_image(image)
key, sim = recog.recognize(
image,
recog.match_answer_erratum,
0.0,
erratum_dictionary
)
return key
def judge_is_non_battle_scene(image = None):
if(image == None):
image = getCurrentImage()
image = get_normalized_image(image)
key, sim = recognize(
image,
recog.match_rgb,
0.84,
is_nonbattle_mode_dictionary
)
if(key == None):
return False
return key == "is_nonbattle"
def judge_scene(image = None):
# クエスト時における現在の状態を判別する
# ジャンル選択、問題、などがある.
if(image == None):
image = getCurrentImage()
image = get_normalized_image(image)
key, sim = recog.recognize(
input_image = image,
match = calc_sim_b,
threshold = 0.75,
dictionary = dictionary_scene
)
return key
def judge_ansnum(image=None):
# 問題の答えを画像から判定する.
if (image == None):
image = getCurrentImage()
image = get_normalized_image(image)
key, sim = recog.recognize(image, recog.match_rgb, 0.0, ansnum_dictionary)
if (key == None):
return -1
if (key == "num1"):
return 1
if (key == "num2"):
return 2
if (key == "num3"):
return 3
if (key == "num4"):
return 4
return -1
def judge_ansnum(image = None):
# 問題の答えを画像から判定する.
if(image == None):
image = getCurrentImage()
image = get_normalized_image(image)
key, sim = recog.recognize(
image,
recog.match_rgb,
0.0,
ansnum_dictionary
)
if(key == None):
return -1
if(key == "num1"):
return 1
if(key == "num2"):
return 2
if(key == "num3"):
return 3
if(key == "num4"):
return 4
return -1