Closed candy0530 closed 5 years ago
@candy0530 i will double check the model and prototxt file this weekend
@candy0530 i have tested it and it works. Have you tried the FPHB-tutorial in example folder? please try it first, let me know if it does not work.
@fyangneil I re-downloaded model trainedmodel/fphb_crack.caffemodel again, finally it works with test.py and with test_fphb_crack.prototxt. But I got another issue.
I trained a model by solve_fphb_crack.py with train_fphb_crack.prototxt and get a model named fphb_iiter_20000.caffemodel. When I used this model with test_fphb_crack.prototxt, I got the same error messages. Aren't test_fphb_crack.prototxt and train_fphb_crack.prototxt same structures? How can I alter train_fphb_crack.prototxt to a correct test_fphb_crack.prototxt?
Thanks a lot!
yes,the training and test files are a little different, I will modify it tomorrow.
On Tue, Jun 18, 2019 at 1:43 AM candy0530 notifications@github.com wrote:
@fyangneil https://github.com/fyangneil I re-downloaded model trainedmodel/fphb_crack.caffemodel again, finally it works with test.py and with test_fphb_crack.prototxt. But I got another issue.
I trained a model by solve_fphb_crack.py with train_fphb_crack.prototxt and get a model named fphb_iiter_20000.caffemodel. When I used this model with test_fphb_crack.prototxt, I got the same error messages. Aren't test_fphb_crack.prototxt and train_fphb_crack.prototxt same structures? How can I alter train_fphb_crack.prototxt to a correct test_fphb_crack.prototxt?
Thanks a lot!
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@candy0530 you could try the test_fphb_crack_v1 file. if it does not work, let me know
@fyangneil It does not work. But I found typo in solver_fphb_crack.prototxt.
net: "train_fpn_crack.prototxt"
Due to this line, I used FPN model structure to train the FPHB model, so it works with test_fpn_crack.prototxt. So it should be "net: train_fphb_crack.prototxt" at first line in solver_fphb_crack.prototxt. Do I misunderstand the code?
yes,you are right. does it work?
On Wed, Jun 19, 2019 at 1:33 AM candy0530 notifications@github.com wrote:
@fyangneil https://github.com/fyangneil It does not work. But I found typo in solver_fphb_crack.prototxt.
net: "train_fpn_crack.prototxt"
Due to this line, I used FPN model structure to train the FPHB model, so it works with test_fpn_crack.prototxt. So it should be "net: train_fphb_crack.prototxt" at first line in solver_fphb_crack.prototxt. Do I misunderstand the code?
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It works! Thanks a lot!
I tried the project you provided, but I got some errors. I used model trainedmodel/fphb_crack.caffemodel which downloaded from Google Drive, dataset CRACK500 test.txt also downloaded from Google Drive and test.py with test_fphb_crack.prototxt, but I got error messages.
F0613 18:57:03.865557 146139 net.cpp:861] Cannot copy param 0 weights from layer 'conv4_fuse'; shape mismatch. Source param shape is 512 1024 1 1 (524288); target param shape is 512 2048 3 3 (9437184). To learn this layer's parameters from scratch rather than copying from a saved net, rename the layer.
I replaced layers name
conv1_fuse, conv2_fuse, conv3_fuse, conv4_fuse, conv5_fuse, score-dsn1, score-dsn2, score-dsn3, score-dsn4, score-dsn5
toconv1_fuse_1, conv2_fuse_1, conv3_fuse_1, conv4_fuse_1, conv5_fuse_1, score-dsn1_1, score-dsn2_1, score-dsn3_1, score-dsn4_1, score-dsn5_1
. It works, but I got all black result images.Did I do wrong steps or miss some steps? How can I get normal results? Thanks!