Could you provide your trained model ?

[happycoding1996]

Dear author,

Thanks for your great work !

Could you provide the trained VGG16 model that I want to directly test on my personal data ?

Thank you !

[zwm19950414]

python train.py
Using TensorFlow backend.
train_file model/vgg16_no_top.h5
model_weights train_pair.txt
0 input_1
1 block1_conv1
2 block1_conv2
3 block1_pool
4 dropout_1
5 block2_conv1
6 block2_conv2
7 block2_pool
8 dropout_2
9 block3_conv1
10 block3_conv2
11 block3_conv3
12 block3_pool
13 dropout_3
14 block4_conv1
15 block4_conv2
16 block4_conv3
17 block4_pool
18 dropout_4
19 block5_conv1
20 block5_conv2
21 block5_conv3
22 dropout_5
23 C4_cfe_cfe0
24 C4_cfe_cfe1_dilation
25 C4_cfe_cfe2_dilation
26 C4_cfe_cfe3_dilation
27 C5_cfe_cfe0
28 C5_cfe_cfe1_dilation
29 C5_cfe_cfe2_dilation
30 C5_cfe_cfe3_dilation
31 C3_cfe_cfe0
32 C3_cfe_cfe1_dilation
33 C3_cfe_cfe2_dilation
34 C3_cfe_cfe3_dilation
35 C4_cfeconcatcfe
36 C5_cfeconcatcfe
37 C3_cfeconcatcfe
38 C4_cfe_BN
39 C5_cfe_BN
40 C3_cfe_BN
41 C4_cfe_relu
42 C5_cfe_relu
43 C3_cfe_relu
44 C4_cfe_up2
45 C5_cfe_up4
46 C345_aspp_concat
47 C345_ChannelWiseAttention_withcpfe_GlobalAveragePooling2D
48 dense_1
49 dense_2
50 C345_ChannelWiseAttention_withcpfe_reshape
51 C345_ChannelWiseAttention_withcpfe_repeat
52 C345_ChannelWiseAttention_withcpfe_multiply
53 C345_conv
54 C345_BN
55 C345_relu
56 C345_up4
57 spatial_attention_1_conv1
58 spatial_attention_2_conv1
59 attention1_1_BN
60 attention2_1_BN
61 C2_conv
62 attention1_1_relu
63 attention2_1_relu
64 C1_conv
65 C2_BN_BN
66 spatial_attention_1_conv2
67 spatial_attention_2_conv2
68 C1_BN_BN
69 C2_BN_relu
70 attention1_2_BN
71 attention2_2_BN
72 C1_BN_relu
73 C2_up2
74 attention1_2_relu
75 attention2_2_relu
76 C12_concat
77 spatial_attention_add
78 C12_conv
79 activation_1
80 C12_BN
81 repeat_1
82 C12_relu
83 C12_atten_mutiply
84 fuse_concat
85 sa
Traceback (most recent call last):
File "train.py", line 72, in
model.load_weights(model_name,by_name=True)
File "/home/lthpc/anaconda3/envs/py27/lib/python2.7/site-packages/keras/engine/topology.py", line 2566, in load_weights
f = h5py.File(filepath, mode='r')
File "/home/lthpc/anaconda3/envs/py27/lib/python2.7/site-packages/h5py/_hl/files.py", line 271, in init
fid = make_fid(name, mode, userblock_size, fapl, swmr=swmr)
File "/home/lthpc/anaconda3/envs/py27/lib/python2.7/site-packages/h5py/_hl/files.py", line 101, in make_fid
fid = h5f.open(name, flags, fapl=fapl)
File "h5py/_objects.pyx", line 54, in h5py._objects.with_phil.wrapper (/home/ilan/minonda/conda-bld/h5py_1490028130695/work/h5py/_objects.c:2846)
File "h5py/_objects.pyx", line 55, in h5py._objects.with_phil.wrapper (/home/ilan/minonda/conda-bld/h5py_1490028130695/work/h5py/_objects.c:2804)
File "h5py/h5f.pyx", line 78, in h5py.h5f.open (/home/ilan/minonda/conda-bld/h5py_1490028130695/work/h5py/h5f.c:2123)
IOError: Unable to open file (File signature not found)
What did you do about it？

[guotengda111]

I

Dear author,

Thanks for your great work !

Could you provide the trained VGG16 model that I want to directly test on my personal data ?

Thank you !

Can you get the trained model ? I also want to directly test with the auther's model, if you have got it ,please share it to me. Thank you a lot!

[zwm19950414]

Hello, can you read this code in data. py into the picture path in train - pair. txt? The code is as follows： def getTrainGenerator(file_path, target_size, batch_size, israndom=False): f = open(file_path, 'r') trainlist = f.readlines() f.close() while True: random.shuffle(trainlist) batch_x = [] batch_y = [] for name in trainlist: p = name.strip('\r\n').split(' ') img_path = p[0] mask_path = p[1] x = cv2.imread(img_path) y = cv2.imread(mask_path) I directly gave a picture of the path, but ran for more than a day without output, how do you run? for name in trainlist: #p = name.strip('\r\n').split(' ') #img_path = p[0] img_path=‘/home/lthpc/cvpr/DUTS1/ILSVRC2012_test_00000003.jpg’ #mask_path = p[1] mask_path =‘/home/lthpc/cvpr/DUTS2/ILSVRC2012_test_00000003.png’

…

------------------ 原始邮件 ------------------ 发件人: "guotengda111"<notifications@github.com>; 发送时间: 2019年6月2日(星期天) 上午10:33 收件人: "CaitinZhao/cvpr2019_Pyramid-Feature-Attention-Network-for-Saliency-detection"<cvpr2019_Pyramid-Feature-Attention-Network-for-Saliency-detection@noreply.github.com>; 抄送: "1789068711"<1789068711@qq.com>;"Comment"<comment@noreply.github.com>; 主题: Re:[CaitinZhao/cvpr2019_Pyramid-Feature-Attention-Network-for-Saliency-detection]Could you provide your trained model ? (#4) I Dear author, Thanks for your great work ! Could you provide the trained VGG16 model that I want to directly test on my personal data ? Thank you ! Can you get the trained mopdel ? I also want to directly test with the auther's model, if you have got it ,please share it to me. Thank you a lot! — You are receiving this because you commented. Reply to this email directly, view it on GitHub, or mute the thread.

[sairajk]

Hi @happycoding1996 @guotengda111 and @zwm19950414 ,

You can check my PyTorch implementation of this paper here.