f4334277
 Hu Chunming
提交3rdparty
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import sys
import os
import cv2 as cv
def add_argument(zoo, parser, name, help, required=False, default=None, type=None, action=None, nargs=None):
if len(sys.argv) <= 1:
return
modelName = sys.argv[1]
if os.path.isfile(zoo):
fs = cv.FileStorage(zoo, cv.FILE_STORAGE_READ)
node = fs.getNode(modelName)
if not node.empty():
value = node.getNode(name)
if not value.empty():
if value.isReal():
default = value.real()
elif value.isString():
default = value.string()
elif value.isInt():
default = int(value.real())
elif value.isSeq():
default = []
for i in range(value.size()):
v = value.at(i)
if v.isInt():
default.append(int(v.real()))
elif v.isReal():
default.append(v.real())
else:
print('Unexpected value format')
exit(0)
else:
print('Unexpected field format')
exit(0)
required = False
if action == 'store_true':
default = 1 if default == 'true' else (0 if default == 'false' else default)
assert(default is None or default == 0 or default == 1)
parser.add_argument('--' + name, required=required, help=help, default=bool(default),
action=action)
else:
parser.add_argument('--' + name, required=required, help=help, default=default,
action=action, nargs=nargs, type=type)
def add_preproc_args(zoo, parser, sample):
aliases = []
if os.path.isfile(zoo):
fs = cv.FileStorage(zoo, cv.FILE_STORAGE_READ)
root = fs.root()
for name in root.keys():
model = root.getNode(name)
if model.getNode('sample').string() == sample:
aliases.append(name)
parser.add_argument('alias', nargs='?', choices=aliases,
help='An alias name of model to extract preprocessing parameters from models.yml file.')
add_argument(zoo, parser, 'model', required=True,
help='Path to a binary file of model contains trained weights. '
'It could be a file with extensions .caffemodel (Caffe), '
'.pb (TensorFlow), .t7 or .net (Torch), .weights (Darknet), .bin (OpenVINO)')
add_argument(zoo, parser, 'config',
help='Path to a text file of model contains network configuration. '
'It could be a file with extensions .prototxt (Caffe), .pbtxt or .config (TensorFlow), .cfg (Darknet), .xml (OpenVINO)')
add_argument(zoo, parser, 'mean', nargs='+', type=float, default=[0, 0, 0],
help='Preprocess input image by subtracting mean values. '
'Mean values should be in BGR order.')
add_argument(zoo, parser, 'scale', type=float, default=1.0,
help='Preprocess input image by multiplying on a scale factor.')
add_argument(zoo, parser, 'width', type=int,
help='Preprocess input image by resizing to a specific width.')
add_argument(zoo, parser, 'height', type=int,
help='Preprocess input image by resizing to a specific height.')
add_argument(zoo, parser, 'rgb', action='store_true',
help='Indicate that model works with RGB input images instead BGR ones.')
add_argument(zoo, parser, 'classes',
help='Optional path to a text file with names of classes to label detected objects.')
def findFile(filename):
if filename:
if os.path.exists(filename):
return filename
fpath = cv.samples.findFile(filename, False)
if fpath:
return fpath
samplesDataDir = os.path.join(os.path.dirname(os.path.abspath(__file__)),
'..',
'data',
'dnn')
if os.path.exists(os.path.join(samplesDataDir, filename)):
return os.path.join(samplesDataDir, filename)
for path in ['OPENCV_DNN_TEST_DATA_PATH', 'OPENCV_TEST_DATA_PATH']:
try:
extraPath = os.environ[path]
absPath = os.path.join(extraPath, 'dnn', filename)
if os.path.exists(absPath):
return absPath
except KeyError:
pass
print('File ' + filename + ' not found! Please specify a path to '
'/opencv_extra/testdata in OPENCV_DNN_TEST_DATA_PATH environment '
'variable or pass a full path to model.')
exit(0)
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