forked from wwwanghao/caffe2pytorch
-
Notifications
You must be signed in to change notification settings - Fork 0
/
prototxt.py
201 lines (183 loc) · 6.51 KB
/
prototxt.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
# 2017.12.16 by xiaohang
from collections import OrderedDict
import caffe.proto.caffe_pb2 as caffe_pb2
def parse_caffemodel(caffemodel):
model = caffe_pb2.NetParameter()
print 'Loading caffemodel: ', caffemodel
with open(caffemodel, 'rb') as fp:
model.ParseFromString(fp.read())
return model
def parse_prototxt(protofile):
def line_type(line):
if line.find(':') >= 0:
return 0
elif line.find('{') >= 0:
return 1
return -1
def parse_block(fp):
block = OrderedDict()
line = fp.readline().strip()
while line != '}':
ltype = line_type(line)
if ltype == 0: # key: value
#print line
line = line.split('#')[0]
key, value = line.split(':')
key = key.strip()
value = value.strip().strip('"')
if block.has_key(key):
if type(block[key]) == list:
block[key].append(value)
else:
block[key] = [block[key], value]
else:
block[key] = value
elif ltype == 1: # blockname {
key = line.split('{')[0].strip()
sub_block = parse_block(fp)
block[key] = sub_block
line = fp.readline().strip()
line = line.split('#')[0]
return block
fp = open(protofile, 'r')
props = OrderedDict()
layers = []
line = fp.readline()
while line != '':
line = line.strip().split('#')[0]
if line == '':
line = fp.readline()
continue
ltype = line_type(line)
if ltype == 0: # key: value
key, value = line.split(':')
key = key.strip()
value = value.strip().strip('"')
if props.has_key(key):
if type(props[key]) == list:
props[key].append(value)
else:
props[key] = [props[key], value]
else:
props[key] = value
elif ltype == 1: # blockname {
key = line.split('{')[0].strip()
if key == 'layer':
layer = parse_block(fp)
layers.append(layer)
else:
props[key] = parse_block(fp)
line = fp.readline()
if len(layers) > 0:
net_info = OrderedDict()
net_info['props'] = props
net_info['layers'] = layers
return net_info
else:
return props
def is_number(s):
try:
float(s)
return True
except ValueError:
return False
def print_prototxt(net_info):
# whether add double quote
def format_value(value):
#str = u'%s' % value
#if str.isnumeric():
if is_number(value):
return value
elif value in ['true', 'false', 'MAX', 'SUM', 'AVE', 'TRAIN', 'TEST', 'WARP', 'LINEAR', 'AREA', 'NEAREST', 'CUBIC', 'LANCZOS4', 'CENTER', 'LMDB']:
return value
else:
return '\"%s\"' % value
def print_block(block_info, prefix, indent):
blanks = ''.join([' ']*indent)
print('%s%s {' % (blanks, prefix))
for key,value in block_info.items():
if type(value) == OrderedDict:
print_block(value, key, indent+4)
elif type(value) == list:
for v in value:
print('%s %s: %s' % (blanks, key, format_value(v)))
else:
print('%s %s: %s' % (blanks, key, format_value(value)))
print('%s}' % blanks)
props = net_info['props']
layers = net_info['layers']
print('name: \"%s\"' % props['name'])
print('input: \"%s\"' % props['input'])
print('input_dim: %s' % props['input_dim'][0])
print('input_dim: %s' % props['input_dim'][1])
print('input_dim: %s' % props['input_dim'][2])
print('input_dim: %s' % props['input_dim'][3])
print('')
for layer in layers:
print_block(layer, 'layer', 0)
def save_prototxt(net_info, protofile, region=True):
fp = open(protofile, 'w')
# whether add double quote
def format_value(value):
#str = u'%s' % value
#if str.isnumeric():
if is_number(value):
return value
elif value in ['true', 'false', 'MAX', 'SUM', 'AVE', 'TRAIN', 'TEST', 'WARP', 'LINEAR', 'AREA', 'NEAREST', 'CUBIC', 'LANCZOS4', 'CENTER', 'LMDB']:
return value
else:
return '\"%s\"' % value
def print_block(block_info, prefix, indent):
blanks = ''.join([' ']*indent)
print >>fp, '%s%s {' % (blanks, prefix)
for key,value in block_info.items():
if type(value) == OrderedDict:
print_block(value, key, indent+4)
elif type(value) == list:
for v in value:
print >> fp, '%s %s: %s' % (blanks, key, format_value(v))
else:
print >> fp, '%s %s: %s' % (blanks, key, format_value(value))
print >> fp, '%s}' % blanks
props = net_info['props']
print >> fp, 'name: \"%s\"' % props['name']
if props.has_key('input'):
print >> fp, 'input: \"%s\"' % props['input']
if props.has_key('input_dim'):
print >> fp, 'input_dim: %s' % props['input_dim'][0]
print >> fp, 'input_dim: %s' % props['input_dim'][1]
print >> fp, 'input_dim: %s' % props['input_dim'][2]
print >> fp, 'input_dim: %s' % props['input_dim'][3]
print >> fp, ''
layers = net_info['layers']
for layer in layers:
if layer['type'] != 'Region' or region == True:
print_block(layer, 'layer', 0)
fp.close()
def parse_solver(solverfile):
solver = OrderedDict()
lines = open(solverfile).readlines()
for line in lines:
line = line.strip()
if line[0] == '#':
continue
if line.find('#') >= 0:
line = line.split('#')[0]
items = line.split(':')
key = items[0].strip()
value = items[1].strip().strip('"')
if not solver.has_key(key):
solver[key] = value
elif not type(solver[key]) == list:
solver[key] = [solver[key], value]
else:
solver[key].append(value)
return solver
if __name__ == '__main__':
import sys
if len(sys.argv) != 2:
print('Usage: python prototxt.py model.prototxt')
exit()
net_info = parse_prototxt(sys.argv[1])
print_prototxt(net_info)
save_prototxt(net_info, 'tmp.prototxt')