/
ImageProcessor.py
550 lines (453 loc) · 30.9 KB
/
ImageProcessor.py
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import sys
# import BMSFactoryNormal
import BMSFactoryTube
import Note
import Pixel
import PixelState
import Point
import cv2
import numpy as np
from Note import *
from Pixel import *
from PixelState import *
from Point import *
class ImageProcessor:
FILE_NAME = "tsunagu_soramoyou(expert).png"
LANE_NUM = 7
BAR_NUM = 83
BAR_NUM_PER_COLUMN: int = 8
LANE_WIDTH: int = 20
COLUMN_WIDTH = 220 # 間の空白含む
POS_LENGTH = 48
BAR_LENGTH = POS_LENGTH * 4
BASIC_START_POINT: Point = Point(80, 1662) # 1小節目１レーン目の真ん中
NOTE_CENTER_OFFSET_FROM_FRAME = 4
states = list() # レーン別の状態()
def go_to_right(self, lane_index: int) -> bool:
lane_state = self.states[lane_index]
if self.states[lane_index + 1].following_long_num == 0:
self.states[lane_index + 1].following_long_num = lane_state.following_long_num
else:
print("右のレーンは別のものを追跡中です.")
return False
self.states[lane_index + 1].followable_direction = FollowableDirection.TO_RIGHT
lane_state.followable_direction = FollowableDirection.BOTH
if lane_state.state == StateType.NONE:
lane_state.following_long_num = 0
else:
lane_state.will_stop_following = True
return True
def go_to_left(self, lane_index: int) -> bool:
lane_state = self.states[lane_index]
if self.states[lane_index - 1].following_long_num == 0:
self.states[lane_index - 1].following_long_num = lane_state.following_long_num
else:
print("左のレーンは別のものを追跡中です")
return False
self.states[lane_index - 1].followable_direction = FollowableDirection.TO_LEFT
lane_state.followable_direction = FollowableDirection.BOTH
if lane_state.state == StateType.NONE:
lane_state.following_long_num = 0
else:
lane_state.will_stop_following = True
return True
def process_score_image(self):
"""
:rtype: object
"""
bms_factory = BMSFactoryTube.BMSFactory()
notes = [[], [], [], [], [], [], []] # レーン別のノーツの情報
is_usable = [True, True] # 長押しをいくつ追跡しているかをカウントする。
img = cv2.imread(self.FILE_NAME)
for i in range(0, self.LANE_NUM):
self.states.append(PixelState(StateType.NONE, 0))
#
# ------- 画像解析開始 --------
#
for bar in range(1, self.BAR_NUM + 1): # 小節に関するループ
column_index = int((bar-1) / self.BAR_NUM_PER_COLUMN) # 何列目か
for pixel_offset in range(0, self.BAR_LENGTH): # ピクセル単位のループ(縦)
# if bar == 11:
# tstr = "追跡状況："
# for i in range(0, self.LANE_NUM):
# tstr += str(self.states[i].following_long_num) + ", "
# print(tstr)
for lane_index in range(0, self.LANE_NUM): # レーンに関するループ
offset_x = lane_index * self.LANE_WIDTH + column_index * self.COLUMN_WIDTH
offset_y = -((bar-1) % self.BAR_NUM_PER_COLUMN) * self.BAR_LENGTH
lane_start_point = Point.sum(self.BASIC_START_POINT, Point(offset_x, offset_y))
# print("bar, lane_index, startpoint")
# if bar == 1:
# print(str(bar) + " " + str(lane_index) + "(" + str(lane_start_point.x) + ", " + str(lane_start_point.y) + ")")
bgr = img[int(lane_start_point.y) - pixel_offset, int(lane_start_point.x)]
b = bgr[0]
g = bgr[1]
r = bgr[2]
# 追跡用に左右の色を取得(6が限度。７以上ずらすと真っ直ぐが追えなくなる)
left_bgr = img[int(lane_start_point.y) - pixel_offset, int(lane_start_point.x - self.LANE_WIDTH * 0.3)]
lb = left_bgr[0]
lg = left_bgr[1]
lr = left_bgr[2]
right_bgr = img[int(lane_start_point.y) - pixel_offset, int(lane_start_point.x + self.LANE_WIDTH * 0.3)]
rb = right_bgr[0]
rg = right_bgr[1]
rr = right_bgr[2]
lane_state = self.states[lane_index]
# 各ノーツを識別する
if lane_state.state == StateType.NONE:
if Pixel.is_tap_frame(b, g, r):
lane_state.state = StateType.IN_TAP
lane_state.from_pixel_index = pixel_offset + (bar-1) * self.BAR_LENGTH
elif Pixel.is_flick_frame(b, g, r):
lane_state.state = StateType.IN_PINK
lane_state.from_pixel_index = pixel_offset + (bar-1) * self.BAR_LENGTH
elif Pixel.is_green(b, g, r):
lane_state.state = StateType.IN_GREEN
lane_state.from_pixel_index = pixel_offset + (bar-1) * self.BAR_LENGTH
elif Pixel.is_middle_frame(b, g, r):
lane_state.state = StateType.IN_MIDDLE
lane_state.from_pixel_index = pixel_offset + (bar-1) * self.BAR_LENGTH
elif Pixel.is_yellow_frame(b, g, r):
lane_state.state = StateType.IN_YELLOW
lane_state.from_pixel_index = pixel_offset + (bar - 1) * self.BAR_LENGTH
elif lane_state.state == StateType.IN_PINK:
# 一番下の次のピクセルの横の色から終点であるかを判断
is_flick_end = False
for pixel_x in range(int(lane_start_point.x - self.LANE_WIDTH / 2),
int(lane_start_point.x + self.LANE_WIDTH / 2)):
bgr_t = img[int(lane_start_point.y) - pixel_offset, int(pixel_x)]
b_t = bgr_t[0]
g_t = bgr_t[1]
r_t = bgr_t[2]
bgr_t2 = img[int(lane_start_point.y) - pixel_offset - 2, int(pixel_x)] # 鬼畜スライド用
b_t2 = bgr_t2[0]
g_t2 = bgr_t2[1]
r_t2 = bgr_t2[2]
if Pixel.is_connecting_green(b_t, g_t, r_t) or Pixel.is_connecting_green(b_t2, g_t2, r_t2):
is_flick_end = True
break
if is_flick_end:
lane_state.state = StateType.IN_FLICK_END
else:
lane_state.state = StateType.IN_FLICK
elif lane_state.state == StateType.IN_GREEN:
is_tap_end = False
for pixel_x in range(int(lane_start_point.x - self.LANE_WIDTH / 2),
int(lane_start_point.x + self.LANE_WIDTH / 2)):
bgr_t = img[int(lane_start_point.y) - pixel_offset, int(pixel_x)]
b_t = bgr_t[0]
g_t = bgr_t[1]
r_t = bgr_t[2]
bgr_t2 = img[int(lane_start_point.y) - pixel_offset - 2, int(pixel_x)] # 鬼畜スライド用
b_t2 = bgr_t2[0]
g_t2 = bgr_t2[1]
r_t2 = bgr_t2[2]
if Pixel.is_connecting_green(b_t, g_t, r_t) or Pixel.is_connecting_green(b_t2, g_t2, r_t2):
is_tap_end = True
break
if is_tap_end:
lane_state.state = StateType.IN_TAP_END
else:
lane_state.state = StateType.IN_START
if is_usable[0]:
lane_state.following_long_num = 1
is_usable[0] = False
elif is_usable[1]:
lane_state.following_long_num = 2
is_usable[1] = False
else:
print("セマフォが0です")
tstr = "追跡状況："
for i in range(0, self.LANE_NUM):
tstr += str(self.states[i].following_long_num) + ", "
print(tstr)
print("座標(y,x):" + str(int(lane_start_point.y) - pixel_offset) + ", " + str(
lane_start_point.x))
print("レーン, 小節:" + str(lane_index + 1) + ", " + str(bar))
sys.exit("エラー終了")
elif lane_state.state == StateType.IN_TAP:
if Pixel.is_tap_frame(b, g, r):
note_pixel_index = (lane_state.from_pixel_index + pixel_offset + (bar-1) * self.BAR_LENGTH) / 2
pos = note_pixel_index * 4 / self.BAR_LENGTH
# pixel_from_this_bar =
# pos_from_this_bar: float = pixel_from_this_bar / cls.BAR_LENGTH * 4.0
# pos = pos_from_this_bar + (bar - 1) * 4.0
notes[lane_index].append(Note(NoteType.TAP, pos, lane_index))
# if bar == 6:
# print("Tap@レーン, 小節:" + str(lane_index + 1) + ", " + str(bar))
# print(pos)
lane_state.state = StateType.NONE
lane_state.from_pixel_index = pixel_offset
elif lane_state.state == StateType.IN_START:
if Pixel.is_green(b, g, r):
# pixel_from_this_bar = (lane_state.from_pixel_index + pixel_offset + (
# bar - 1) * cls.BAR_LENGTH) / 2
# pos_from_this_bar: float = pixel_from_this_bar / cls.BAR_LENGTH * 4.0
# pos = pos_from_this_bar + (bar - 1) * 4.0
note_pixel_index = (lane_state.from_pixel_index + pixel_offset + (
bar - 1) * self.BAR_LENGTH) / 2
pos = note_pixel_index * 4 / self.BAR_LENGTH
if lane_state.following_long_num == 1:
notes[lane_index].append(Note(NoteType.START, pos, lane_index))
elif lane_state.following_long_num == 2:
notes[lane_index].append(Note(NoteType.START2, pos, lane_index))
else:
print("following_long_numが不正です.@start:" + str(lane_state.following_long_num))
print("座標(y,x):" + str(int(lane_start_point.y) - pixel_offset) + ", " + str(
lane_start_point.x))
print("レーン, 小節:" + str(lane_index + 1) + ", " + str(bar))
sys.exit("エラー終了")
# print("Start@レーン, 小節:" + str(lane_index + 1) + ", " + str(bar))
lane_state.state = StateType.NONE
lane_state.from_pixel_index = pixel_offset
elif lane_state.state == StateType.IN_TAP_END:
if Pixel.is_green(b, g, r):
# pixel_from_this_bar = (lane_state.from_pixel_index + pixel_offset + (
# bar - 1) * cls.BAR_LENGTH) / 2
# pos_from_this_bar: float = pixel_from_this_bar / cls.BAR_LENGTH * 4.0
# pos = pos_from_this_bar + (bar - 1) * 4.0
note_pixel_index = (lane_state.from_pixel_index + pixel_offset + (
bar - 1) * self.BAR_LENGTH) / 2
pos = note_pixel_index * 4 / self.BAR_LENGTH
if lane_state.following_long_num == 1:
notes[lane_index].append(Note(NoteType.TAP_END, pos, lane_index))
is_usable[0] = True
elif lane_state.following_long_num == 2:
notes[lane_index].append(Note(NoteType.TAP_END2, pos, lane_index))
is_usable[1] = True
else:
print("following_long_numが不正です.@tapEnd:" + str(lane_state.following_long_num))
print("座標(y,x):" + str(int(lane_start_point.y) - pixel_offset) + ", " + str(lane_start_point.x))
print("レーン, 小節:" + str(lane_index+1) + ", " + str(bar))
sys.exit("エラー終了")
lane_state.state = StateType.NONE
lane_state.from_pixel_index = pixel_offset
lane_state.following_long_num = 0
lane_state.followable_direction = FollowableDirection.BOTH
elif lane_state.state == StateType.IN_FLICK:
if Pixel.is_flick_frame(b, g, r):
# pixel_from_this_bar = (lane_state.from_pixel_index + pixel_offset + (
# bar - 1) * cls.BAR_LENGTH) / 2
# pos_from_this_bar: float = pixel_from_this_bar / cls.BAR_LENGTH * 4.0
# pos = pos_from_this_bar + (bar - 1) * 4.0
note_pixel_index = (lane_state.from_pixel_index + pixel_offset + (
bar - 1) * self.BAR_LENGTH) / 2
pos = note_pixel_index * 4 / self.BAR_LENGTH
notes[lane_index].append(Note(NoteType.FLICK, pos, lane_index))
# print("Flick@レーン, 小節:" + str(lane_index + 1) + ", " + str(bar))
lane_state.state = StateType.NONE
lane_state.from_pixel_index = pixel_offset
elif lane_state.state == StateType.IN_FLICK_END:
if Pixel.is_flick_frame(b, g, r):
# pixel_from_this_bar = (lane_state.from_pixel_index + pixel_offset + (
# bar - 1) * cls.BAR_LENGTH) / 2
# pos_from_this_bar: float = pixel_from_this_bar / cls.BAR_LENGTH * 4.0
# pos = pos_from_this_bar + (bar - 1) * 4.0
note_pixel_index = (lane_state.from_pixel_index + pixel_offset + (
bar - 1) * self.BAR_LENGTH) / 2
pos = note_pixel_index * 4 / self.BAR_LENGTH
if lane_state.following_long_num == 1:
notes[lane_index].append(Note(NoteType.FLICK_END, pos, lane_index))
is_usable[0] = True
elif lane_state.following_long_num == 2:
notes[lane_index].append(Note(NoteType.FLICK_END2, pos, lane_index))
is_usable[1] = True
else:
print("following_long_numが不正です.@flickEnd:" + str(lane_state.following_long_num))
print("座標(y,x):" + str(int(lane_start_point.y) - pixel_offset) + ", " + str(
lane_start_point.x))
print("レーン, 小節:" + str(lane_index + 1) + ", " + str(bar))
sys.exit("エラー終了")
# print("FlickEnd@レーン, 小節:" + str(lane_index + 1) + ", " + str(bar))
lane_state.state = StateType.NONE
lane_state.from_pixel_index = pixel_offset
lane_state.following_long_num = 0
lane_state.followable_direction = FollowableDirection.BOTH
elif lane_state.state == StateType.IN_MIDDLE:
if Pixel.is_middle_frame(b, g, r):
note_pixel_index = (lane_state.from_pixel_index + pixel_offset + (
bar - 1) * self.BAR_LENGTH) / 2
pos = note_pixel_index * 4 / self.BAR_LENGTH
if lane_state.following_long_num == 1:
notes[lane_index].append(Note(NoteType.MIDDLE, pos, lane_index))
elif lane_state.following_long_num == 2:
notes[lane_index].append(Note(NoteType.MIDDLE2, pos, lane_index))
else:
# 画像が間違っているので緊急措置
# if is_usable[0]:
# lane_state.following_long_num = 1
# is_usable[0] = False
# notes[lane_index].append(Note(NoteType.START, pos, lane_index))
# elif is_usable[1]:
# lane_state.following_long_num = 2
# is_usable[1] = False
# notes[lane_index].append(Note(NoteType.START2, pos, lane_index))
# else:
# print("セマフォが0です")
# tstr = "追跡状況："
# for i in range(0, self.LANE_NUM):
# tstr += str(self.states[i].following_long_num) + ", "
# print(tstr)
# print("座標(y,x):" + str(int(lane_start_point.y) - pixel_offset) + ", " + str(
# lane_start_point.x))
# print("レーン, 小節:" + str(lane_index + 1) + ", " + str(bar))
# sys.exit("エラー終了")
# 緊急措置による退避
print("following_long_numが不正です.@middle:" + str(lane_state.following_long_num))
print("座標(y,x):" + str(int(lane_start_point.y) - pixel_offset) + ", " + str(
lane_start_point.x))
print("レーン, 小節:" + str(lane_index + 1) + ", " + str(bar))
tstr = "following_long_num: "
for t in self.states:
tstr += str(t.following_long_num) + ", "
print(tstr)
sys.exit("エラー終了")
print("@lane_index:" + str(lane_index))
# print("Middle@レーン, 小節:" + str(lane_index + 1) + ", " + str(bar))
lane_state.state = StateType.NONE
lane_state.from_pixel_index = pixel_offset
lane_state.followable_direction = FollowableDirection.BOTH
elif lane_state.state == StateType.IN_YELLOW:
if Pixel.is_yellow_frame(b, g, r):
note_pixel_index = (lane_state.from_pixel_index + pixel_offset + (
bar - 1) * self.BAR_LENGTH) / 2
pos = note_pixel_index * 4 / self.BAR_LENGTH
is_tap = True
for pixel_x in range(int(lane_start_point.x - self.LANE_WIDTH / 2),
int(lane_start_point.x + self.LANE_WIDTH / 2)):
bgr_t = img[int(lane_start_point.y) - pixel_offset, int(pixel_x)]
b_t = bgr_t[0]
g_t = bgr_t[1]
r_t = bgr_t[2]
if Pixel.is_connecting_green(b_t, g_t, r_t):
is_tap = False
if is_tap:
notes[lane_index].append(Note(NoteType.TAP, pos, lane_index))
else:
if is_usable[1]:
notes[lane_index].append(Note(NoteType.START2, pos, lane_index))
lane_state.following_long_num = 2
is_usable[1] = False
elif is_usable[0]:
notes[lane_index].append(Note(NoteType.START, pos, lane_index))
lane_state.following_long_num = 1
is_usable[0] = False
else:
print("セマフォが0です")
tstr = "追跡状況："
for i in range(0, self.LANE_NUM):
tstr += str(states[i].following_long_num) + ", "
print(tstr)
print("座標(y,x):" + str(int(lane_start_point.y) - pixel_offset) + ", " + str(
lane_start_point.x))
print("レーン, 小節:" + str(lane_index + 1) + ", " + str(bar))
sys.exit("エラー終了")
# pixel_from_this_bar =
# pos_from_this_bar: float = pixel_from_this_bar / cls.BAR_LENGTH * 4.0
# pos = pos_from_this_bar + (bar - 1) * 4.0
lane_state.state = StateType.NONE
lane_state.from_pixel_index = pixel_offset
# 辿っている長押しのレーン変更を識別する
if lane_state.will_stop_following and lane_state.state == StateType.NONE:
lane_state.following_long_num = 0
lane_state.will_stop_following = False
if lane_state.following_long_num > 0 and not lane_state.will_stop_following:
if lane_state.state == StateType.NONE or lane_state.state == StateType.IN_START:
if lane_state.left_state == SubStateType.FOLLOWING_LONG:
if not Pixel.is_following_color(lb, lg, lr):
if lane_state.followable_direction != FollowableDirection.TO_LEFT:
if lane_state.right_state == SubStateType.FOLLOWING_LONG and not Pixel.is_following_color(rb, rg, rr):
# 完全に真横からスタートする場合あり。ひとつ戻ってノーツの真横の色を見る
bgr_br = img[int(lane_start_point.y) - pixel_offset + 1, int(lane_start_point.x) + 7]
b_br = bgr_br[0]
g_br = bgr_br[1]
r_br = bgr_br[2]
bgr_bl = img[int(lane_start_point.y) - pixel_offset + 1, int(lane_start_point.x) - 7]
b_bl = bgr_bl[0]
g_bl = bgr_bl[1]
r_bl = bgr_bl[2]
if Pixel.is_following_color(b_br, g_br, r_br) and Pixel.is_following_color(b_bl, g_bl, r_bl):
print("両方！？")
print("座標(y,x):" + str(
int(lane_start_point.y) - pixel_offset) + ", " + str(
lane_start_point.x))
print("レーン: " + str(lane_index + 1) + ", 小節: " + str(bar))
sys.exit("エラー終了")
elif Pixel.is_following_color(b_br, g_br, r_br):
if not self.go_to_right(lane_index):
tstr = "追跡状況："
for i in range(0, self.LANE_NUM):
tstr += str(self.states[i].following_long_num) + ", "
print(tstr)
print("座標(y,x):" + str(
int(lane_start_point.y) - pixel_offset) + ", " + str(
lane_start_point.x))
print("レーン, 小節:" + str(lane_index + 1) + ", " + str(bar))
sys.exit("エラー終了")
elif Pixel.is_following_color(b_bl, g_bl, r_bl):
if not self.go_to_left(lane_index):
tstr = "追跡状況："
for i in range(0, self.LANE_NUM):
tstr += str(self.states[i].following_long_num) + ", "
print(tstr)
print("座標(y,x):" + str(
int(lane_start_point.y) - pixel_offset) + ", " + str(
lane_start_point.x))
print("レーン, 小節:" + str(lane_index + 1) + ", " + str(bar))
sys.exit("エラー終了")
else:
print("左右ともに見つからない！？")
print("座標(y,x):" + str(
int(lane_start_point.y) - pixel_offset) + ", " + str(
lane_start_point.x))
print("レーン: " + str(lane_index + 1) + ", 小節: " + str(bar))
sys.exit("エラー終了")
else:
# print("@laneIndex:" + str(lane_index) + ", @bar:" + str(bar))
# print("@x:" + str(lane_start_point.x) + ", @y:" + str(lane_start_point.y - pixel_offset))
# print("state:" + str(lane_state.state))
# if bar == 6:
# print("右(" + str(lane_index+1) + "→" + str(lane_index+2))
# print("座標(y,x):" + str(int(lane_start_point.y) - pixel_offset) + ", " + str(
# lane_start_point.x))
if not self.go_to_right(lane_index):
tstr = "追跡状況："
for i in range(0, self.LANE_NUM):
tstr += str(self.states[i].following_long_num) + ", "
print(tstr)
print("座標(y,x):" + str(
int(lane_start_point.y) - pixel_offset) + ", " + str(
lane_start_point.x))
print("レーン, 小節:" + str(lane_index + 1) + ", " + str(bar))
sys.exit("エラー終了")
if lane_state.right_state == SubStateType.FOLLOWING_LONG:
if not Pixel.is_following_color(rb, rg, rr):
if lane_state.followable_direction != FollowableDirection.TO_RIGHT:
# print(lane_index)
# if bar == 6:
# print("左(" + str(lane_index+1) + "→" + str(lane_index))
# print(lane_state.followable_direction)
# print("座標(y,x):" + str(int(lane_start_point.y) - pixel_offset) + ", " + str(
# lane_start_point.x))
if not self.go_to_left(lane_index):
tstr = "追跡状況："
for i in range(0, self.LANE_NUM):
tstr += str(self.states[i].following_long_num) + ", "
print(tstr)
print("座標(y,x):" + str(
int(lane_start_point.y) - pixel_offset) + ", " + str(
lane_start_point.x))
print("レーン, 小節:" + str(lane_index + 1) + ", " + str(bar))
sys.exit("エラー終了")
if Pixel.is_following_color(lb, lg, lr):
lane_state.left_state = SubStateType.FOLLOWING_LONG
else:
lane_state.left_state = SubStateType.NONE
if Pixel.is_following_color(rb, rg, rr):
lane_state.right_state = SubStateType.FOLLOWING_LONG
else:
lane_state.right_state = SubStateType.NONE
#
# ------- ファイル作成 -------
#
bms_factory.write_main(notes)