f = open('weapons.html', 'w')
f.write('<p>%s</p>' % s)
for weapon in sorted(sort_zumi.keys()):
f.write('<h3>%s</h3>' % weapon)
print('<h3>%s</h3>' % weapon)
for t in sorted(sort_zumi[weapon]):
f.write('<font size=-4>%s</font><img src=%s alt="%s">' %
(t[0], t[1], t[0]))
print('<font size=-4>%s</font><img src=%s alt="%s">' %
(t[0], t[1], t[0]))
f.close()
return s
weapons = WeaponRecoginizer()
learnImageGroup(weapons, "14式竹筒銃・甲", dir="14式竹筒銃・甲")
learnImageGroup(weapons, "14式竹筒銃・乙", dir="14式竹筒銃・乙")
learnImageGroup(weapons, "3Kスコープ", dir="3Kスコープ")
learnImageGroup(weapons, "3Kスコープカスタム", dir="3Kスコープカスタム")
learnImageGroup(weapons, "L3リールガン", dir="L3リールガン")
learnImageGroup(weapons, "L3リールガンD", dir="L3リールガンD")
learnImageGroup(weapons, "H3リールガン", dir="H3リールガン")
learnImageGroup(weapons, "H3リールガンD", dir="H3リールガンD")
learnImageGroup(weapons, "N-ZAP85", dir="N-ZAP85")
learnImageGroup(weapons, "N-ZAP89", dir="N-ZAP89")
learnImageGroup(weapons, "オクタシューターレプリカ", dir="オクタシューター")
learnImageGroup(weapons, "カーボンローラー", dir="カーボンローラー")
learnImageGroup(weapons, "カーボンローラーデコ", dir="カーボンローラーデコ")
learnImageGroup(weapons, "ガロン52", dir="ガロン52")
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
import cv2
import os
import sys
sys.path.append('.')
base_dir = sys.argv[1]
from ikalog.utils import WeaponRecoginizer
weapons = WeaponRecoginizer()
weapons.load_model_from_file()
weapons.knn_train()
results = {}
for root, dirs, files in os.walk(base_dir):
l = []
for file in files:
if file.endswith(".png"):
filename = os.path.join(root, file)
img = cv2.imread(filename)
answer, distance = weapons.match(img)
if not (answer in results):
results[answer] = []
results[answer].append( { 'filename': filename, 'distance': distance } )
# ======
# Copyright (C) 2015 Takeshi HASEGAWA
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
import os
import sys
sys.path.append('.')
base_dir = sys.argv[1]
from ikalog.utils import WeaponRecoginizer
weapons = WeaponRecoginizer()
weapons.load_model_from_file()
weapons.knn_train()
weapons.test_samples_from_directory(base_dir)
weapons.dump_test_results_html(short=True)
# file にリスト書き出し
f = open('weapons.html', 'w')
f.write('<p>%s</p>' % s)
for weapon in sorted(sort_zumi.keys()):
f.write('<h3>%s</h3>' % weapon)
print('<h3>%s</h3>' % weapon)
for t in sorted(sort_zumi[weapon]):
f.write('<font size=-4>%s</font><img src=%s alt="%s">' %
(t[0], t[1], t[0]))
print('<font size=-4>%s</font><img src=%s alt="%s">' %
(t[0], t[1], t[0]))
f.close()
return s
weapons = WeaponRecoginizer()
for key in constants.weapons.keys():
learnImageGroup(weapons, key, dir=key)
weapons.knn_train_from_group()
weapons.save_model_to_file()
weapons.knn_reset()
weapons.load_model_from_file()
weapons.knn_train()
if 1:
s = loopbackTest()
print(s)
sys.exit()
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
import cv2
import os
import sys
sys.path.append('.')
base_dir = sys.argv[1]
from ikalog.utils import WeaponRecoginizer
weapons = WeaponRecoginizer()
weapons.load_model_from_file()
weapons.knn_train()
results = {}
for root, dirs, files in os.walk(base_dir):
l = []
for file in files:
if file.endswith(".png"):
filename = os.path.join(root, file)
img = cv2.imread(filename)
answer, distance = weapons.match(img)
if not (answer in results):
results[answer] = []
results[answer].append({
