archerfmy / afnet Goto Github PK
View Code? Open in Web Editor NEWCode for paper in CVPR2019, 'Attentive Feedback Network for Boundary-aware Salient Object Detection'
License: MIT License
Code for paper in CVPR2019, 'Attentive Feedback Network for Boundary-aware Salient Object Detection'
License: MIT License
Does there any test on efficiency?
我修改了输入待预测图片的后缀名
im_ext = '.png';
当运行test.m脚本的时候,遇到这个问题
Processing images: 00001/00028
Processing images: 00002/00028
Processing images: 00003/00028
Processing images: 00004/00028
Processing images: 00005/00028
Processing images: 00006/00028
Processing images: 00007/00028
Processing images: 00008/00028
Processing images: 00009/00028
Processing images: 00010/00028
Processing images: 00011/00028
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Processing images: 00014/00028
Processing images: 00015/00028
Processing images: 00016/00028
Processing images: 00017/00028
Processing images: 00018/00028
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Processing images: 00028/00028
Error using pngreadc
PNG library failed: Read Error.
Error in readpngutil (line 12)
[X,map,oneRow3d] = pngreadc(filename, bg,true);
Error in readpng (line 32)
[X, map, alpha] = readpngutil(filename, bg, 0);
Error in imread/call_format_specific_reader (line 423)
[varargout{1:nargout}] = feval(fmt_s.read, fullname, extraArgs{:});
Error in imread (line 403)
[X, map] = call_format_specific_reader();
Error in test_AFNet (line 52)
im = imread([impath, imnames(i).name]);
Hello,I am very interested in your work. Can u provide a paper web link, please?
The provided saliency map 0557 in ECSSD dataset has a resolution of 617464. The original image, however, has a size of 400299. How could I compute the F score and mae?
能否提供下完整的训练结果,我想测试下您的这个方法的效果
ECSSD dataset with DSS method get| 0.9347 max-fmeasure| 0.0418 mae| 0.9382 max-Emeasure..
PASCALS dataset with DSS method get| 0.5675 max-fmeasure| 0.2186 mae| 0.6630 max-Emeasure..
现在的训练结果在pascals里面明显是不对啊
Wrong message:
Protobuf : Error parsing text-format caffe.NetParameter: 2095:18: Message type "caffe.LayerParameter" has no field named "interp_param". . at
D:\ThirdPartyLibrary\protobuf\src\google\protobuf\text_format.cc Line 296
My enviroment:
caffe: happynear/caffe(https://github.com/happynear/caffe-windows)
cuda: 9.1
python: 3.5
Should i rebuild caffe from your repo?
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