def match_score_internal(self, img_obj, debug=None):
debug = debug or self._debug
bg_pixels = 0
bg_ratio = 0.0
bg_matched = False
fg_pixels = 0
fg_ratio = 0.0
fg_matched = False
# Phase 2: Background check
try:
if img_obj['bg'] is None:
if self._bg_method.want_grayscale_image and (img_obj['gray'] is
None):
self.generate_grayscale_image(img_obj)
img_bg = 255 - \
self._bg_method(img_bgr=img_obj['bgr'], img_gray=img_obj['gray'])
img_obj['bg'] = self._kernel.encode(img_bg)
bg_pixels = self._kernel.logical_and_popcnt(img_obj['bg'])
# fixme: zero division
bg_ratio = bg_pixels / (self._width * self._height)
bg_matched = (bg_ratio <= self._orig_threshold)
except:
IkaUtils.dprint(
'%s (%s): bg_method %s caused a exception.' %
(self, self._label, self._bg_method.__class__.__name__))
IkaUtils.dprint(traceback.format_exc())
# Phase 3: Foreground check
if bg_matched:
if img_obj['fg'] is None:
if self._fg_method.want_grayscale_image and (img_obj['gray'] is
None):
self.generate_grayscale_image(img_obj)
img_fg = self._fg_method(img_bgr=img_obj['bgr'],
img_gray=img_obj['gray'])
img_obj['fg'] = self._kernel.encode(img_fg)
fg_pixels = self._kernel.logical_or_popcnt(img_obj['fg'])
# fixme: zero division
fg_ratio = fg_pixels / (self._width * self._height)
fg_matched = (fg_ratio > self._threshold)
if debug:
label = self._label
print(
"%s: result=%s raito BG %s FG %s (threshold BG %1.3f FG %1.3f) label:%s"
% (self.__class__.__name__, fg_matched, bg_ratio, fg_ratio,
self._orig_threshold, self._threshold, label))
# ToDo: imshow
# ToDo: on_mark_rect_in_preview
return (fg_matched, fg_ratio, bg_ratio)
def match_score_internal(self, img_obj, debug=None):
debug = debug or self._debug
bg_pixels = 0
bg_ratio = 0.0
bg_matched = False
fg_pixels = 0
fg_ratio = 0.0
fg_matched = False
# Phase 2: Background check
try:
if img_obj['bg'] is None:
if self._bg_method.want_grayscale_image and (img_obj['gray'] is None):
self.generate_grayscale_image(img_obj)
img_bg = 255 - \
self._bg_method(img_bgr=img_obj['bgr'], img_gray=img_obj['gray'])
img_obj['bg'] = self._kernel.encode(img_bg)
bg_pixels = self._kernel.logical_and_popcnt(img_obj['bg'])
# fixme: zero division
bg_ratio = bg_pixels / (self._width * self._height)
bg_matched = (bg_ratio <= self._orig_threshold)
except:
IkaUtils.dprint('%s (%s): bg_method %s caused a exception.' % (
self, self._label, self._bg_method.__class__.__name__))
IkaUtils.dprint(traceback.format_exc())
# Phase 3: Foreground check
if bg_matched:
if img_obj['fg'] is None:
if self._fg_method.want_grayscale_image and (img_obj['gray'] is None):
self.generate_grayscale_image(img_obj)
img_fg = self._fg_method(img_bgr=img_obj['bgr'], img_gray=img_obj['gray'])
img_obj['fg'] = self._kernel.encode(img_fg)
fg_pixels = self._kernel.logical_or_popcnt(img_obj['fg'])
# fixme: zero division
fg_ratio = fg_pixels / (self._width * self._height)
fg_matched = (fg_ratio > self._threshold)
if debug:
label = self._label
print("%s: result=%s raito BG %s FG %s (threshold BG %1.3f FG %1.3f) label:%s" %
(self.__class__.__name__, fg_matched, bg_ratio, fg_ratio,
self._orig_threshold, self._threshold, label))
# ToDo: imshow
# ToDo: on_mark_rect_in_preview
return (fg_matched, fg_ratio, bg_ratio)
def __init__(self, left, top, width, height, img=None, img_file=None, threshold=0.9, fg_method=None, bg_method=None, orig_threshold=0.7, debug=False, label=None, call_plugins=None, kernel_class=None):
"""
Constructor
Args:
self The object.
left Left of the mask.
top Top of the mask.
width Width of the mask.
height Height of the mask.
img Instance of the mask image.
img_file Filename of the mask image.
threshold Threshold
orig_threshold Target frame must be lower than this raito.
pre_threshold_value Threshold target frame with this level before matching.
debug If true, show debug information.
label Label (text data) to distingish this mask.
"""
self._top = top
self._left = left
self._width = width
self._height = height
self._threshold = threshold
self._orig_threshold = orig_threshold
self._debug = debug
self._label = label
self._call_plugins = call_plugins
self._fg_method = fg_method or MM_WHITE()
self._bg_method = bg_method or MM_NOT_WHITE()
if not img_file is None:
img_file2 = find_image_file(img_file)
img = cv2.imread(img_file2) # FIXME: use own imread
if img is None:
IkaUtils.dprint(
'%s is not available. Retrying with %s' % (img_file2, img_file))
img = cv2.imread(img_file) # FIXME
if img is None:
raise Exception('Could not load mask image %s (%s)' %
(label, img_file))
if len(img.shape) > 2 and img.shape[2] != 1:
img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
if not self._is_cropped(img):
img = img[top: top + height, left: left + width]
# Initialize kernel
kernel_class = kernel_class or default_kernel
self._kernel = kernel_class(self._width, self._height)
self._kernel.load_mask(img)
def load_kernel():
global default_kernel
if platform.machine().startswith('armv7'):
from ikalog.utils.ikamatcher2.arm_neon import NEON
default_kernel = NEON
else:
from ikalog.utils.ikamatcher2.reference import Numpy_uint8_fast
default_kernel = Numpy_uint8_fast
IkaUtils.dprint('%s: using kernel %s' % (IkaMatcher2, default_kernel.__name__))
def print_tsv(summary, tsv_format):
summary = summary.copy()
summary['end_at_text'] = time.strftime('%Y-%m-%d %H:%M:%S',
time.localtime(summary['end_at']))
summary['lobby_text'] = IkaUtils.lobby2text(_get_lobby_id(summary['lobby']),
unknown='')
summary['rule_text'] = IkaUtils.rule2text(summary['rule'], unknown='')
summary['map_text'] = IkaUtils.map2text(summary['map'], unknown='')
summary['weapon_text'] = IkaUtils.weapon2text(summary['weapon'], unknown='')
keys = tsv_format.split(',')
values = []
for key in keys:
values.append(str(summary[key]))
print('\t'.join(values))
def load_kernel():
global default_kernel
if platform.machine().startswith('armv7'):
try:
from lib.ikamatcher2_kernel_hal import HAL
default_kernel = HAL
except:
from ikalog.utils.ikamatcher2.arm_neon import NEON
default_kernel = NEON
else:
from ikalog.utils.ikamatcher2.reference import Numpy_uint8_fast
default_kernel = Numpy_uint8_fast
IkaUtils.dprint('%s: using kernel %s' %
(IkaMatcher2, default_kernel.__name__))
def find_image_file(img_file=None, languages=None):
if languages is None:
languages = Localization.get_game_languages()
if languages is not None:
if not isinstance(languages, list):
languages = [lang]
for lang in languages:
f = IkaUtils.get_path('masks', lang, img_file)
if os.path.exists(f):
return f
f = IkaUtils.get_path('masks', img_file)
if os.path.exists(f):
return f
f = IkaUtils.get_path(img_file)
if os.path.exists(f):
return f
f = IkaUtils.get_path('masks', 'ja', img_file)
if os.path.exists(f):
IkaUtils.dprint('%s: mask %s: using ja version' %
(self, img_file))
return f
raise Exception('Could not find image file %s (lang %s)' % (img_file, lang))
def __init__(self,
left,
top,
width,
height,
img=None,
img_file=None,
threshold=0.9,
fg_method=None,
bg_method=None,
orig_threshold=0.7,
debug=False,
label=None,
call_plugins=None,
kernel_class=None):
"""
Constructor
Args:
self The object.
left Left of the mask.
top Top of the mask.
width Width of the mask.
height Height of the mask.
img Instance of the mask image.
img_file Filename of the mask image.
threshold Threshold
orig_threshold Target frame must be lower than this raito.
pre_threshold_value Threshold target frame with this level before matching.
debug If true, show debug information.
label Label (text data) to distingish this mask.
"""
self._top = top
self._left = left
self._width = width
self._height = height
self._threshold = threshold
self._orig_threshold = orig_threshold
self._debug = debug
self._label = label
self._call_plugins = call_plugins
self._fg_method = fg_method or MM_WHITE()
self._bg_method = bg_method or MM_NOT_WHITE()
if not img_file is None:
img_file2 = find_image_file(img_file)
img = cv2.imread(img_file2) # FIXME: use own imread
if img is None:
IkaUtils.dprint('%s is not available. Retrying with %s' %
(img_file2, img_file))
img = cv2.imread(img_file) # FIXME
if img is None:
raise Exception('Could not load mask image %s (%s)' %
(label, img_file))
if len(img.shape) > 2 and img.shape[2] != 1:
img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
if not self._is_cropped(img):
img = img[top:top + height, left:left + width]
# Initialize kernel
kernel_class = kernel_class or default_kernel
self._kernel = kernel_class(self._width, self._height)
self._kernel.load_mask(img)