-
Notifications
You must be signed in to change notification settings - Fork 1
/
Copy pathdata_manager.py
176 lines (155 loc) · 6.66 KB
/
data_manager.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
from __future__ import print_function, absolute_import
import os
import numpy as np
import random
def process_query_sysu(data_path, mode='all', relabel=False, v2t=2): # 'SYSU-MM01/ori_data/'
if v2t == 2:
if mode == 'all':
cameras = ['cam3', 'cam6'] # 都是红外相机
elif mode == 'indoor':
cameras = ['cam3', 'cam6'] # 都是红外相机
if v2t == 1:
if mode == 'all':
if mode == 'all':
cameras = ['cam1', 'cam2', 'cam4', 'cam5']
elif mode == 'indoor':
cameras = ['cam1', 'cam2']
file_path = os.path.join(data_path, 'exp/test_id.txt') # 这是在训练阶段用于验证的 'SYSU-MM01/ori_data/exp/test_id.txt'
files_rgb = []
files_ir = []
with open(file_path, 'r') as file:
ids = file.read().splitlines()
ids = [int(y) for y in ids[0].split(',')]
ids = ["%04d" % x for x in ids]
for id in sorted(ids):
for cam in cameras:
img_dir = os.path.join(data_path, cam, id)
if os.path.isdir(img_dir):
new_files = sorted([img_dir+'/'+i for i in os.listdir(img_dir)])
files_ir.extend(new_files)
query_img = []
query_id = []
query_cam = []
for img_path in files_ir:
camid, pid = int(img_path[-15]), int(img_path[-13:-9]) # SYSU-MM01/ori_data/cam1/0001/0001.jpg
query_img.append(img_path)
query_id.append(pid)
query_cam.append(camid)
return query_img, np.array(query_id), np.array(query_cam)
def process_query_nwpu(data_path, mode='all', relabel=False, val=0, v2t=2): # 'SYSU-MM01/ori_data/'
if v2t == 2:
if mode == 'all': #
cameras = ['cam1', 'cam4', 'cam5', 'cam8'] # 全部红外相机
elif mode == 'indoor':
cameras = ['cam1', 'cam4'] # 室内的红外相机
if v2t == 1:
if mode == 'all': #
cameras = ['cam2', 'cam3', 'cam6', 'cam7'] # 全部RGB相机
elif mode == 'indoor':
cameras = ['cam2', 'cam3'] # 室内的RGB相机
if val == 1:
file_path = os.path.join(data_path, 'exp/val_id.txt') # 这是在训练阶段用于验证的 'SYSU-MM01/ori_data/exp/test_id.txt'
if val == 0:
file_path = os.path.join(data_path, 'exp/test_id.txt')
files_rgb = []
files_ir = []
with open(file_path, 'r') as file:
ids = file.read().splitlines()
ids = [int(y) for y in ids[0].split(',')]
ids = ["%04d" % x for x in ids]
for id in sorted(ids):
for cam in cameras:
img_dir = os.path.join(data_path, cam, id)
if os.path.isdir(img_dir):
new_files = sorted([img_dir + '/' + i for i in os.listdir(img_dir)])
files_ir.extend(new_files)
query_img = []
query_id = []
query_cam = []
for img_path in files_ir:
camid, pid = int(img_path[-45]), int(img_path[-43:-39]) # SYSU-MM01/ori_data/cam1/0001/0001.jpg
query_img.append(img_path)
query_id.append(pid)
query_cam.append(camid)
return query_img, np.array(query_id), np.array(query_cam)
def process_gallery_sysu(data_path, mode = 'all', trial = 0, relabel=False, v2t=1):
random.seed(trial)
if v2t == 2:
if mode == 'all':
cameras = ['cam3', 'cam6'] # 都是红外相机
elif mode == 'indoor':
cameras = ['cam3', 'cam6'] # 都是红外相机
if v2t == 1:
if mode == 'all':
if mode == 'all':
cameras = ['cam1', 'cam2', 'cam4', 'cam5']
elif mode == 'indoor':
cameras = ['cam1', 'cam2']
file_path = os.path.join(data_path, 'exp/test_id.txt')
files_rgb = []
with open(file_path, 'r') as file:
ids = file.read().splitlines()
ids = [int(y) for y in ids[0].split(',')]
ids = ["%04d" % x for x in ids]
for id in sorted(ids):
for cam in cameras:
img_dir = os.path.join(data_path,cam,id)
if os.path.isdir(img_dir):
new_files = sorted([img_dir+'/'+i for i in os.listdir(img_dir)])
files_rgb.append(random.choice(new_files))
gall_img = []
gall_id = []
gall_cam = []
for img_path in files_rgb:
camid, pid = int(img_path[-15]), int(img_path[-13:-9])
gall_img.append(img_path)
gall_id.append(pid)
gall_cam.append(camid)
return gall_img, np.array(gall_id), np.array(gall_cam)
def process_gallery_nwpu(data_path, mode='all', trial=0, relabel=False, val=0, v2t=1):
random.seed(trial)
if v2t == 2:
if mode == 'all': #
cameras = ['cam1', 'cam4', 'cam5', 'cam8'] # 全部红外相机
elif mode == 'indoor':
cameras = ['cam1', 'cam4'] # 室内的红外相机
if v2t == 1:
if mode == 'all': #
cameras = ['cam2', 'cam3', 'cam6', 'cam7'] # 全部RGB相机
elif mode == 'indoor':
cameras = ['cam2', 'cam3'] # 室内的RGB相机
if val == 1:
file_path = os.path.join(data_path, 'exp/val_id.txt') # 这是在训练阶段用于验证的 'SYSU-MM01/ori_data/exp/test_id.txt'
if val == 0:
file_path = os.path.join(data_path, 'exp/test_id.txt')
files_rgb = []
with open(file_path, 'r') as file:
ids = file.read().splitlines()
ids = [int(y) for y in ids[0].split(',')]
ids = ["%04d" % x for x in ids]
for id in sorted(ids):
for cam in cameras:
img_dir = os.path.join(data_path, cam, id)
if os.path.isdir(img_dir):
new_files = sorted([img_dir + '/' + i for i in os.listdir(img_dir)])
files_rgb.append(random.choice(new_files)) # 随即返回一张，从摄像机的for循环可以看出是对每个摄像机操作一次
gall_img = []
gall_id = []
gall_cam = []
for img_path in files_rgb:
camid, pid = int(img_path[-45]), int(img_path[-43:-39])
gall_img.append(img_path)
gall_id.append(pid)
gall_cam.append(camid)
return gall_img, np.array(gall_id), np.array(gall_cam)
def process_test_regdb(img_dir, trial=1, modal='visible'):
if modal == 'visible':
input_data_path = img_dir + 'idx/test_visible_{}'.format(trial) + '.txt'
elif modal == 'thermal':
input_data_path = img_dir + 'idx/test_thermal_{}'.format(trial) + '.txt'
with open(input_data_path) as f:
data_file_list = open(input_data_path, 'rt').read().splitlines()
# Get full list of image and labels
file_image = [img_dir + '/' + s.split(' ')[0] for s in data_file_list]
file_label = [int(s.split(' ')[1]) for s in data_file_list]
return file_image, np.array(file_label)