-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy pathgetsmaps.py
More file actions
290 lines (268 loc) · 23.4 KB
/
getsmaps.py
File metadata and controls
290 lines (268 loc) · 23.4 KB
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
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
import numpy as np
import torch
import torch.utils.data as Data
import os
os.environ['CUDA_VISIBLE_DEVICES'] = '1'
from torch import nn
from torch import optim
from torch.utils.data import DataLoader
from ORSI_SOD_dataset import ORSI_SOD_Dataset
from tqdm import tqdm
#from model.segformer import get_segformer as Net
#from model.segformer_proposed_SCRKD5 import Segformer_SCRKD as Net
#from model.segformer_PD import SegFormer_PD as Net
#from model.segformer_CMHRD import SegFormer_CMHRD as Net
#from model.pspnet_proposed_SCRKD52 import PSPNet_SCRKD as Net
#from model.TransXNet import TransXNet as Net
#from model.TransXNet_logits import TransXNet_logits as Net
#from model.TransXNet_FitNet import TransXNet_FitNet as Net
#from model.TransXNet_AT import TransXNet_AT as Net
#from model.TransXNet_IFVD import TransXNet_IFVD as Net
#from model.TransXNet_CWD import TransXNet_CWD as Net
#from model.TransXNet_ReviewKD import TransXNet_ReviewKD as Net
#from model.TransXNet_SKD import TransXNet_SKD as Net
#from model.TransXNet_SRD import TransXNet_SRD as Net
#from model.TransXNet_LogitStdKD import TransXNet_LogitStdKD as Net
#from model.TransXNet_STONet import TransXNet_STONet as Net
#from model.TransXNet_PD import TransXNet_PD as Net
#from model.TransXNet_CMHRD import TransXNet_CMHRD as Net
from model.TransXNet_proposed_SCRKD5 import TransXNet_SCRKD5 as Net
from evaluator import Eval_thread
from PIL import Image
import time
def unload(x):
y = x.squeeze().cpu().data.numpy()
return y
def convert2img(x):
return Image.fromarray(x*255).convert('L')
def min_max_normalization(x):
x_normed = (x - np.min(x)) / (np.max(x)-np.min(x))
return x_normed
def save_smap(smap, path, negative_threshold=0.25):
# smap: [1, H, W]
if torch.max(smap) <= negative_threshold:
smap[smap<negative_threshold] = 0
smap = convert2img(unload(smap))
else:
smap = convert2img(min_max_normalization(unload(smap)))
if smap.size != (448, 448):
smap = smap.resize((448,448),Image.Resampling.BICUBIC)
smap.save(path)
def getsmaps(dataset_name):
##define dataset
dataset_root = '/data1/users/liuyanfeng/RSI_SOD/'+ dataset_name +' dataset/'
#test_set = ORSI_SOD_Dataset(root = dataset_root, img_size=448, mode = "test", aug = False)
#test_set = ORSI_SOD_Dataset(root = dataset_root, img_size=224, mode = "test", aug = False)
test_set = ORSI_SOD_Dataset(root = dataset_root, img_size=112, mode = "test", aug = False)
#test_set = ORSI_SOD_Dataset(root = dataset_root, img_size=56, mode = "test", aug = False)
test_loader = DataLoader(test_set, batch_size = 1, num_workers = 1)
##define network and load weight 224 448 112
net = Net(img_size=112).cuda().eval() #img_size=(448, 448)
if dataset_name == "ORSSD":
#net.load_state_dict(torch.load("./data/PSPNet_224x224_ORSSD/epoch_94_0.8752317428588867.pth"))
#net.load_state_dict(torch.load("./data/PSPNet_448x448_ORSSD/epoch_96_0.9051483869552612.pth"))
#net.load_state_dict(torch.load("./data/PSPNet_112x112_ORSSD/epoch_99_0.8328226804733276.pth"))
#net.load_state_dict(torch.load("./data/PSPNet_logits_224to112_ORSSD/epoch_91_0.8416323661804199.pth"))
#net.load_state_dict(torch.load("./data/PSPNet_FitNet_224to112_ORSSD/epoch_63_0.8430297374725342.pth"))
#net.load_state_dict(torch.load("./data/PSPNet_AT_224to112_ORSSD/epoch_91_0.850625216960907.pth"))
#net.load_state_dict(torch.load("./data/PSPNet_SPKD_224to112_ORSSD/epoch_95_0.8434325456619263.pth"))
#net.load_state_dict(torch.load("./data/PSPNet_SRD_224to112_ORSSD/epoch_98_0.8434983491897583.pth"))
#net.load_state_dict(torch.load("./data/PSPNet_LogitStdKD_224to112_ORSSD/epoch_81_0.8394263982772827.pth"))
#net.load_state_dict(torch.load("./data/PSPNet_FAMKD_224to112_ORSSD/epoch_75_0.8400411009788513.pth"))
#net.load_state_dict(torch.load("./data/PSPNet_STONet_224to112_ORSSD/epoch_96_0.8454548716545105.pth"))
#net.load_state_dict(torch.load("./data/PSPNet_logits_448to224_ORSSD/epoch_91_0.8870370388031006.pth"))
#net.load_state_dict(torch.load("./data/PSPNet_AT_448to224_ORSSD/epoch_81_0.8901381492614746.pth"))
#net.load_state_dict(torch.load("./data/PSPNet_FitNet_448to224_ORSSD/epoch_97_0.8886995315551758.pth"))
#net.load_state_dict(torch.load("./data/PSPNet_SPKD_448to224_ORSSD/epoch_91_0.8796983361244202.pth"))
#net.load_state_dict(torch.load("./data/PSPNet_SRD_448to224_ORSSD/epoch_83_0.884074330329895.pth"))
#net.load_state_dict(torch.load("./data/PSPNet_LogitStdKD_448to224_ORSSD/epoch_99_0.8782950639724731.pth"))
#net.load_state_dict(torch.load("./data/PSPNet_STONet_448to224_ORSSD/epoch_94_0.8853043913841248.pth"))
#net.load_state_dict(torch.load("./data/SegFormer_logits_224to112_ORSSD/epoch_97_0.8367313742637634.pth"))
#net.load_state_dict(torch.load("./data/SegFormer_FitNet_224to112_ORSSD/epoch_97_0.8403520584106445.pth"))
#net.load_state_dict(torch.load("./data/SegFormer_AT_224to112_ORSSD/epoch_97_0.8370007276535034.pth"))
#net.load_state_dict(torch.load("./data/SegFormer_SPKD_224to112_ORSSD/epoch_84_0.8318301439285278.pth"))
#net.load_state_dict(torch.load("./data/SegFormer_CWD_224to112_ORSSD/epoch_87_0.8407173752784729.pth"))
#net.load_state_dict(torch.load("./data/SegFormer_SRD_224to112_ORSSD/epoch_99_0.835822582244873.pth"))
#net.load_state_dict(torch.load("./data/SegFormer_LogitStdKD_224to112_ORSSD/epoch_88_0.8401384353637695.pth"))
#net.load_state_dict(torch.load("./data/SegFormer_STONet_224to112_ORSSD/epoch_99_0.8363576531410217.pth"))
#net.load_state_dict(torch.load("./data/SegFormer_SKD_224to112_ORSSD/epoch_95_0.8357298374176025.pth"))
#net.load_state_dict(torch.load("./data/SegFormer_APD_224to112_ORSSD/epoch_96_0.8336579203605652.pth"))
#net.load_state_dict(torch.load("./data/SegFormer_SCRKD5_224to112_ORSSD/epoch_90_0.8520212173461914.pth"))
#net.load_state_dict(torch.load("./data/SegFormer_IFVD_224to112_ORSSD/epoch_99_0.8301117420196533.pth"))
#net.load_state_dict(torch.load("./data/SegFormer_PD_224to112_ORSSD/epoch_99_0.8354914784431458.pth"))
#net.load_state_dict(torch.load("./data/SegFormer_CMHRD_224to112_ORSSD/epoch_95_0.8363062739372253.pth"))
#net.load_state_dict(torch.load("./data/SegFormer_112x112_ORSSD/epoch_83_0.8338368535041809.pth"))
#net.load_state_dict(torch.load("./data/SegFormer_448x448_ORSSD/epoch_90_0.9016013145446777.pth"))
#net.load_state_dict(torch.load("./data/PSPNet_logits_448to112_ORSSD/epoch_91_0.8374702334403992.pth"))
#net.load_state_dict(torch.load("./data/PSPNet_FitNet_448to112_ORSSD/epoch_79_0.8465874791145325.pth"))
#net.load_state_dict(torch.load("./data/PSPNet_AT_448to112_ORSSD/epoch_81_0.8463174104690552.pth"))
#net.load_state_dict(torch.load("./data/PSPNet_SPKD_448to112_ORSSD/epoch_91_0.8396198153495789.pth"))
#net.load_state_dict(torch.load("./data/PSPNet_IFVD_448to112_ORSSD/epoch_90_0.8402890563011169.pth"))
#net.load_state_dict(torch.load("./data/PSPNet_SKD_448to112_ORSSD/epoch_92_0.8436832427978516.pth"))
#net.load_state_dict(torch.load("./data/PSPNet_CWD_448to112_ORSSD/epoch_98_0.8455255627632141.pth"))
#net.load_state_dict(torch.load("./data/PSPNet_ReviewKD_448to112_ORSSD/epoch_91_0.8482306599617004.pth"))
#net.load_state_dict(torch.load("./data/PSPNet_SRD_448to112_ORSSD/epoch_95_0.8371676206588745.pth"))
#net.load_state_dict(torch.load("./data/PSPNet_LogitStdKD_448to112_ORSSD/epoch_95_0.845936119556427.pth"))
#net.load_state_dict(torch.load("./data/PSPNet_STONet_448to112_ORSSD/epoch_95_0.8517595529556274.pth"))
#net.load_state_dict(torch.load("./data/PSPNet_SCRKD5_448to112_ORSSD/epoch_96_0.8538699150085449.pth"))
#net.load_state_dict(torch.load("./data/PSPNet_SCRKD5_448to224to112_ORSSD/epoch_99_0.8576335906982422.pth"))
#net.load_state_dict(torch.load("./data/TransXNet_112x112_ORSSD/epoch_93_0.8468277454376221.pth"))
#net.load_state_dict(torch.load("./data/TransXNet_224x224_ORSSD/epoch_97_0.9005411863327026.pth"))
#net.load_state_dict(torch.load("./data/TransXNet_448x448_ORSSD/epoch_90_0.9096945524215698.pth"))
#net.load_state_dict(torch.load("./data/TransXNet_logits_224to112_ORSSD/epoch_72_0.8614241480827332.pth"))
#net.load_state_dict(torch.load("./data/TransXNet_FitNet_224to112_ORSSD/epoch_92_0.8651519417762756.pth"))
#net.load_state_dict(torch.load("./data/TransXNet_AT_224to112_ORSSD/epoch_86_0.8651975989341736.pth"))
#net.load_state_dict(torch.load("./data/TransXNet_IFVD_224to112_ORSSD/epoch_95_0.8618801832199097.pth"))
#net.load_state_dict(torch.load("./data/TransXNet_CWD_224to112_ORSSD/epoch_74_0.8655902147293091.pth"))
#net.load_state_dict(torch.load("./data/TransXNet_ReviewKD_224to112_ORSSD/epoch_98_0.8584254384040833.pth"))
#net.load_state_dict(torch.load("./data/TransXNet_SKD_224to112_ORSSD/epoch_75_0.8664246201515198.pth"))
#net.load_state_dict(torch.load("./data/TransXNet_SRD_224to112_ORSSD/epoch_97_0.8610344529151917.pth"))
#net.load_state_dict(torch.load("./data/TransXNet_LogitStdKD_224to112_ORSSD/epoch_82_0.8629142045974731.pth"))
#net.load_state_dict(torch.load("./data/TransXNet_STONet_224to112_ORSSD/epoch_96_0.8662665486335754.pth"))
#net.load_state_dict(torch.load("./data/TransXNet_PD_224to112_ORSSD/epoch_94_0.8583172559738159.pth"))
#net.load_state_dict(torch.load("./data/TransXNet_CMHRD_224to112_ORSSD/epoch_79_0.8686314225196838.pth"))
net.load_state_dict(torch.load("./data/TransXNet_SCRKD5_224to112_ORSSD/epoch_96_0.8768681287765503.pth"))
elif dataset_name == "EORSSD":
#net.load_state_dict(torch.load("./data/PSPNet_224x224_EORSSD/epoch_99_0.8390894532203674.pth"))
#net.load_state_dict(torch.load("./data/PSPNet_448x448_EORSSD/epoch_93_0.8721891641616821.pth"))
#net.load_state_dict(torch.load("./data/PSPNet_112x112_EORSSD/epoch_97_0.7715491652488708.pth"))
#net.load_state_dict(torch.load("./data/PSPNet_logits_224to112_EORSSD/epoch_90_0.7762871384620667.pth"))
#net.load_state_dict(torch.load("./data/PSPNet_FitNet_224to112_EORSSD/epoch_97_0.781947910785675.pth"))
#net.load_state_dict(torch.load("./data/PSPNet_AT_224to112_EORSSD/epoch_96_0.7847193479537964.pth"))
#net.load_state_dict(torch.load("./data/PSPNet_SRD_224to112_EORSSD/epoch_89_0.7801363468170166.pth"))
#net.load_state_dict(torch.load("./data/PSPNet_SRD_224to112_EORSSD/epoch_89_0.7801363468170166.pth"))
#net.load_state_dict(torch.load("./data/PSPNet_LogitStdKD_224to112_EORSSD/epoch_94_0.774192750453949.pth"))
#net.load_state_dict(torch.load("./data/PSPNet_FAMKD_224to112_EORSSD/epoch_81_0.783511221408844.pth"))
#net.load_state_dict(torch.load("./data/PSPNet_STONet_224to112_EORSSD/epoch_89_0.783097505569458.pth"))
#net.load_state_dict(torch.load("./data/PSPNet_logits_448to224_EORSSD/epoch_90_0.846024215221405.pth"))
#net.load_state_dict(torch.load("./data/PSPNet_AT_448to224_EORSSD/epoch_96_0.8506535291671753.pth"))
#net.load_state_dict(torch.load("./data/PSPNet_FitNet_448to224_EORSSD/epoch_92_0.8451589941978455.pth"))
#net.load_state_dict(torch.load("./data/PSPNet_SPKD_448to224_EORSSD/epoch_97_0.8454791307449341.pth"))
#net.load_state_dict(torch.load("./data/PSPNet_SRD_448to224_EORSSD/epoch_92_0.8443663120269775.pth"))
#net.load_state_dict(torch.load("./data/PSPNet_LogitStdKD_448to224_EORSSD/epoch_93_0.8436920642852783.pth"))
#net.load_state_dict(torch.load("./data/PSPNet_STONet_448to224_EORSSD/epoch_99_0.8484703302383423.pth"))
#net.load_state_dict(torch.load("./data/SegFormer_logits_224to112_EORSSD/epoch_89_0.793080747127533.pth"))
#net.load_state_dict(torch.load("./data/SegFormer_FitNet_224to112_EORSSD/epoch_96_0.7930741906166077.pth"))
#net.load_state_dict(torch.load("./data/SegFormer_AT_224to112_EORSSD/epoch_95_0.791903018951416.pth"))
#net.load_state_dict(torch.load("./data/SegFormer_SPKD_224to112_EORSSD/epoch_92_0.7877092957496643.pth"))
#net.load_state_dict(torch.load("./data/SegFormer_CWD_224to112_EORSSD/epoch_99_0.7965458631515503.pth"))
#net.load_state_dict(torch.load("./data/SegFormer_SRD_224to112_EORSSD/epoch_85_0.7946343421936035.pth"))
#net.load_state_dict(torch.load("./data/SegFormer_LogitStdKD_224to112_EORSSD/epoch_96_0.7922381162643433.pth"))
#net.load_state_dict(torch.load("./data/SegFormer_STONet_224to112_EORSSD/epoch_89_0.7945895195007324.pth"))
#net.load_state_dict(torch.load("./data/SegFormer_SKD_224to112_EORSSD/epoch_95_0.7952609658241272.pth"))
#net.load_state_dict(torch.load("./data/SegFormer_APD_224to112_EORSSD/epoch_89_0.7897936701774597.pth"))
#net.load_state_dict(torch.load("./data/SegFormer_SCRKD5_224to112_EORSSD/epoch_96_0.8012802600860596.pth"))
#net.load_state_dict(torch.load("./data/SegFormer_IFVD_224to112_EORSSD/epoch_99_0.795856237411499.pth"))
#net.load_state_dict(torch.load("./data/SegFormer_PD_224to112_EORSSD/epoch_97_0.79045170545578.pth"))
#net.load_state_dict(torch.load("./data/SegFormer_CMHRD_224to112_EORSSD/epoch_99_0.7881526947021484.pth"))
#net.load_state_dict(torch.load("./data/SegFormer_112x112_EORSSD/epoch_79_0.7880675196647644.pth"))
#net.load_state_dict(torch.load("./data/SegFormer_448x448_EORSSD/epoch_98_0.8810319304466248.pth"))
#net.load_state_dict(torch.load("./data/PSPNet_logits_448to112_EORSSD/epoch_99_0.7752470374107361.pth"))
#net.load_state_dict(torch.load("./data/PSPNet_FitNet_448to112_EORSSD/epoch_93_0.7786803841590881.pth"))
#net.load_state_dict(torch.load("./data/PSPNet_AT_448to112_EORSSD/epoch_96_0.7814053893089294.pth"))
#net.load_state_dict(torch.load("./data/PSPNet_SPKD_448to112_EORSSD/epoch_97_0.780590832233429.pth"))
#net.load_state_dict(torch.load("./data/PSPNet_IFVD_448to112_EORSSD/epoch_91_0.7733801603317261.pth"))
#net.load_state_dict(torch.load("./data/PSPNet_SKD_448to112_EORSSD/epoch_91_0.7775724530220032.pth"))
#net.load_state_dict(torch.load("./data/PSPNet_CWD_448to112_EORSSD/epoch_97_0.7799797058105469.pth"))
#net.load_state_dict(torch.load("./data/PSPNet_ReviewKD_448to112_EORSSD/epoch_89_0.7814944982528687.pth"))
#net.load_state_dict(torch.load("./data/PSPNet_SRD_448to112_EORSSD/epoch_89_0.7778472304344177.pth"))
#net.load_state_dict(torch.load("./data/PSPNet_LogitStdKD_448to112_EORSSD/epoch_98_0.7791224718093872.pth"))
#net.load_state_dict(torch.load("./data/PSPNet_STONet_448to112_EORSSD/epoch_95_0.7790117263793945.pth"))
#net.load_state_dict(torch.load("./data/PSPNet_SCRKD5_448to112_EORSSD/epoch_90_0.7908192873001099.pth"))
#net.load_state_dict(torch.load("./data/PSPNet_SCRKD5_448to224to112_EORSSD/epoch_99_0.7926951050758362.pth"))
#net.load_state_dict(torch.load("./data/PSPNet_SCRKD_1_448to112_EORSSD/epoch_92_0.7829902768135071.pth"))
#net.load_state_dict(torch.load("./data/PSPNet_SCRKD_2_448to112_EORSSD/epoch_86_0.7876742482185364.pth"))
#net.load_state_dict(torch.load("./data/PSPNet_SCRKD_3_448to112_EORSSD/epoch_70_0.7819944024085999.pth"))
#net.load_state_dict(torch.load("./data/PSPNet_SCRKD_1_2_448to112_EORSSD/epoch_87_0.7898060083389282.pth"))
#net.load_state_dict(torch.load("./data/PSPNet_SCRKD5_112to56_EORSSD/epoch_99_0.6661571860313416.pth"))
#net.load_state_dict(torch.load("./data/PSPNet_SCRKD5_224to56_EORSSD/epoch_98_0.66356360912323.pth"))
#net.load_state_dict(torch.load("./data/PSPNet_SCRKD5_448to56_EORSSD/epoch_95_0.6568228602409363.pth"))
#net.load_state_dict(torch.load("./data/TransXNet_112x112_EORSSD/epoch_99_0.7900862693786621.pth"))
#net.load_state_dict(torch.load("./data/TransXNet_224x224_EORSSD/epoch_97_0.8603147864341736.pth"))
#net.load_state_dict(torch.load("./data/TransXNet_448x448_EORSSD/epoch_91_0.8854798674583435.pth"))
#net.load_state_dict(torch.load("./data/TransXNet_logits_224to112_EORSSD/epoch_99_0.8017134070396423.pth"))
#net.load_state_dict(torch.load("./data/TransXNet_FitNet_224to112_EORSSD/epoch_70_0.8053228259086609.pth"))
#net.load_state_dict(torch.load("./data/TransXNet_AT_224to112_EORSSD/epoch_95_0.8031890392303467.pth"))
#net.load_state_dict(torch.load("./data/TransXNet_IFVD_224to112_EORSSD/epoch_94_0.8029742240905762.pth"))
#net.load_state_dict(torch.load("./data/TransXNet_CWD_224to112_EORSSD/epoch_96_0.8060512542724609.pth"))
#net.load_state_dict(torch.load("./data/TransXNet_ReviewKD_224to112_EORSSD/epoch_97_0.8055668473243713.pth"))
#net.load_state_dict(torch.load("./data/TransXNet_SKD_224to112_EORSSD/epoch_78_0.8054310083389282.pth"))
#net.load_state_dict(torch.load("./data/TransXNet_SRD_224to112_EORSSD/epoch_94_0.8061962127685547.pth"))
#net.load_state_dict(torch.load("./data/TransXNet_LogitStdKD_224to112_EORSSD/epoch_98_0.7990105748176575.pth"))
#net.load_state_dict(torch.load("./data/TransXNet_STONet_224to112_EORSSD/epoch_98_0.8036390542984009.pth"))
#net.load_state_dict(torch.load("./data/TransXNet_PD_224to112_EORSSD/epoch_99_0.8037005662918091.pth"))
#net.load_state_dict(torch.load("./data/TransXNet_CMHRD_224to112_EORSSD/epoch_79_0.8063256740570068.pth"))
net.load_state_dict(torch.load("./data/TransXNet_SCRKD5_224to112_EORSSD/epoch_89_0.811864972114563.pth"))
elif dataset_name == "ORS_4199":
#net.load_state_dict(torch.load("./data/PSPNet_224x224_ORS_4199/epoch_94_0.8520545959472656.pth"))
#net.load_state_dict(torch.load("./data/PSPNet_448x448_ORS_4199/epoch_80_0.8476475477218628.pth"))
#net.load_state_dict(torch.load("./data/PSPNet_112x112_ORS_4199/epoch_97_0.8303403854370117.pth"))
#net.load_state_dict(torch.load("./data/PSPNet_logits_224to112_ORS_4199/epoch_95_0.8337389826774597.pth"))
#net.load_state_dict(torch.load("./data/PSPNet_FitNet_224to112_ORS_4199/epoch_97_0.8351300954818726.pth"))
#net.load_state_dict(torch.load("./data/PSPNet_AT_224to112_ORS_4199/epoch_89_0.8363099098205566.pth"))
#net.load_state_dict(torch.load("./data/PSPNet_SPKD_224to112_ORS_4199/epoch_95_0.8354843854904175.pth"))
#net.load_state_dict(torch.load("./data/PSPNet_SRD_224to112_ORS_4199/epoch_95_0.8318607807159424.pth"))
#net.load_state_dict(torch.load("./data/PSPNet_LogitStdKD_224to112_ORS_4199/epoch_97_0.8353437185287476.pth"))
#net.load_state_dict(torch.load("./data/PSPNet_FAMKD_224to112_ORS_4199/epoch_77_0.8373781442642212.pth"))
#net.load_state_dict(torch.load("./data/PSPNet_STONet_224to112_ORS_4199/epoch_92_0.8360699415206909.pth"))
#net.load_state_dict(torch.load("./data/SegFormer_logits_224to112_ORS_4199/epoch_77_0.8465359210968018.pth"))
#net.load_state_dict(torch.load("./data/SegFormer_FitNet_224to112_ORS_4199/epoch_92_0.8441546559333801.pth"))
#net.load_state_dict(torch.load("./data/SegFormer_AT_224to112_ORS_4199/epoch_99_0.8461555242538452.pth"))
#net.load_state_dict(torch.load("./data/SegFormer_SPKD_224to112_ORS_4199/epoch_76_0.8426039218902588.pth"))
#net.load_state_dict(torch.load("./data/SegFormer_CWD_224to112_ORS_4199/epoch_99_0.8466850519180298.pth"))
#net.load_state_dict(torch.load("./data/SegFormer_SRD_224to112_ORS_4199/epoch_75_0.8462033271789551.pth"))
#net.load_state_dict((torch.load("./data/SegFormer_LogitStdKD_224to112_ORS_4199/epoch_75_0.8460550308227539.pth")))
#net.load_state_dict(torch.load("./data/SegFormer_STONet_224to112_ORS_4199/epoch_97_0.8437785506248474.pth"))
#net.load_state_dict(torch.load("./data/SegFormer_SKD_224to112_ORS_4199/epoch_96_0.8425534963607788.pth"))
#net.load_state_dict(torch.load("./data/SegFormer_APD_224to112_ORS_4199/epoch_83_0.8434704542160034.pth"))
#net.load_state_dict(torch.load("./data/SegFormer_SCRKD5_224to112_ORS_4199/epoch_95_0.8499596118927002.pth"))
#net.load_state_dict(torch.load("./data/SegFormer_IFVD_224to112_ORS_4199/epoch_98_0.8457165956497192.pth"))
#net.load_state_dict(torch.load("./data/SegFormer_PD_224to112_ORS_4199/epoch_94_0.845474123954773.pth"))
#net.load_state_dict(torch.load("./data/SegFormer_CMHRD_224to112_ORS_4199/epoch_97_0.8422139883041382.pth"))
#net.load_state_dict(torch.load("./data/SegFormer_112x112_ORS_4199/epoch_89_0.8419054746627808.pth"))
#net.load_state_dict(torch.load("./data/SegFormer_448x448_ORS_4199/epoch_83_0.862912654876709.pth"))
#net.load_state_dict(torch.load("./data/TransXNet_112x112_ORS_4199/epoch_99_0.8418759703636169.pth"))
#net.load_state_dict(torch.load("./data/TransXNet_224x224_ORS_4199/epoch_90_0.8695002198219299.pth"))
#net.load_state_dict(torch.load("./data/TransXNet_448x448_ORS_4199/epoch_89_0.8702975511550903.pth"))
#net.load_state_dict(torch.load("./data/TransXNet_logits_224to112_ORS_4199/epoch_93_0.8521995544433594.pth"))
#net.load_state_dict(torch.load("./data/TransXNet_FitNet_224to112_ORS_4199/epoch_93_0.8513845205307007.pth"))
#net.load_state_dict(torch.load("./data/TransXNet_AT_224to112_ORS_4199/epoch_80_0.8512827754020691.pth"))
#net.load_state_dict(torch.load("./data/TransXNet_IFVD_224to112_ORS_4199/epoch_77_0.8537198305130005.pth"))
#net.load_state_dict(torch.load("./data/TransXNet_CWD_224to112_ORS_4199/epoch_72_0.8529568910598755.pth"))
#net.load_state_dict(torch.load("./data/TransXNet_ReviewKD_224to112_ORS_4199/epoch_93_0.8522476553916931.pth"))
#net.load_state_dict(torch.load("./data/TransXNet_SKD_224to112_ORS_4199/epoch_81_0.8515921235084534.pth"))
#net.load_state_dict(torch.load("./data/TransXNet_SRD_224to112_ORS_4199/epoch_92_0.8529736995697021.pth"))
#net.load_state_dict(torch.load("./data/TransXNet_LogitStdKD_224to112_ORS_4199/epoch_93_0.852831244468689.pth"))
#net.load_state_dict(torch.load("./data/TransXNet_STONet_224to112_ORS_4199/epoch_78_0.8523058295249939.pth"))
#net.load_state_dict(torch.load("./data/TransXNet_PD_224to112_ORS_4199/epoch_95_0.8525421023368835.pth"))
#net.load_state_dict(torch.load("./data/TransXNet_CMHRD_224to112_ORS_4199/epoch_70_0.854026734828949.pth"))
net.load_state_dict(torch.load("./data/TransXNet_SCRKD5_224to112_ORS_4199/epoch_91_0.8558633923530579.pth"))
##save saliency map
infer_time = 0
for image, label, _, name in tqdm(test_loader):
#for data in tqdm(test_loader):
with torch.no_grad():
image, label = image.cuda(), label.cuda()
#image_lr = data['img_112x112']
#image_hr = data['img_224x224']
#image_lr = image_lr.cuda()
#image_hr = image_hr.cuda()
#name = data['name']
t1 = time.time()
smap = net(image)
#smap = net(image_lr, image_hr)
t2 = time.time()
infer_time += (t2 - t1)
##if not exist then define
dirs = "./data/output/predict_smaps" + "_TransXNet_SCRKD5_224to112_" + dataset_name
if not os.path.exists(dirs):
os.makedirs(dirs)
path = os.path.join(dirs, name[0] + "_TransXNet_SCRKD5_224to112" + '.png')
save_smap(smap, path)
print(len(test_loader))
print(infer_time)
print(len(test_loader) / infer_time) # inference speed (without I/O time),
if __name__ == "__main__":
dataset = ["EORSSD"]# , ,
for datseti in dataset:
getsmaps(datseti)