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The official repo of the TPAMI 2021/ECCV 2020 work CSNet: A Highly Efficient Model with 100K Parameters to Study the Semantics of Salient Object Detection

Home Page: https://mmcheng.net/sod100k/

Python 64.61% Shell 0.18% CMake 6.78% C 5.96% C++ 11.71% Makefile 10.46% Cython 0.31%

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sod100k's Issues

speed

Can you report the speed of CSNet on a GTX 1080Ti GPU?

Export CSNet to ONNX error

thanks for your good research. I faced a problem when I export to onnx as below:
image

thanks for your help
best regards

csnet-L-x1

Hi, if I want to train csnet-L-x1 model, what should I do ?

Question about resize with mode='reflect' for CSNet

Hi! First of all, thanks for sharing your great work on salient object detection!

I'd like to ask about skimage.transform.resize in ${REPO_ROOT}/CSNet/test.py.

In the code, it passes 'reflect' to mode for skimage.transform.resize.

                    img = resize(img, (cfg.TEST.IMAGE_H, cfg.TEST.IMAGE_W),
                                 mode='reflect',
                                 anti_aliasing=False)

And I found it means:

Pads with the reflection of the vector mirrored on the first and last values of the vector along each axis.

Is there any reason you choose 'reflect' rather than others like 'empty'?

Actually, I usually handle object detectors and the most repos I've seen just zero-pad to keep aspect ratios.

Have you experienced a performance gap between 'reflect' and others like 'empty'?

size mismatch after training model when running test

hello, i have trained my model but when runnng test.py am getting size mismatchsize mismatch error.

RuntimeError: Error(s) in loading state_dict for CSNet:
        size mismatch for stage0.0.conv1x1.conv.weight: copying a param with shape torch.Size([40, 3, 3, 3]) from checkpoint, the shape in current model is torch.Size([23, 3, 3, 3]).

ModuleNotFoundError: No module named 'yacs

when run "python test.py --config configs/csnet-L-x2.yml",I met this error. The 'yacs is a packge written by yourself or come with python. Please help me. Thank you and best wish.
Traceback (most recent call last):
File "test.py", line 9, in
from configs import cfg
File "/home/sln/SOD/SOD100K-master/CSNet_training/configs/init.py", line 2, in
from .defaults import _C as cfg
File "/home/sln/SOD/SOD100K-master/CSNet_training/configs/defaults.py", line 2, in
from yacs.config import CfgNode as CN
ModuleNotFoundError: No module named 'yacs

CSF+Res2Net batch size

Hi, thanks for your wonderful work!
I met a size not match error when I try a bigger batch size. However, when I used my own dataset, it works. Do I ignore something about the DUTs dataset?

[bug-report] test.py failed when loading gray-scale image in ECSSD dataset

0557.jpg is a gray-scale image in ECSSD dataset. when runing CSNet‘s testing code

python test.py --config configs/csnet-L-x2.yml

error will occur

Traceback (most recent call last):
File "test.py", line 135, in
main()
File "test.py", line 53, in main
test(model, cfg.TEST.DATASETS, loadepoch)
File "test.py", line 91, in test
img = np.transpose((img - mean) / std, (2, 0, 1))
ValueError: operands could not be broadcast together with shapes (224,224) (3,)

May be you can judge the gray-scale image & convert it into RGB image

img = skimage.img_as_float(
    io.imread(os.path.join(img_dir, img_name)))
if len(img.shape) == 2:
    img = skimage.color.gray2rgb(img)

Unresolved reference 'redefine_model'

Hi! First of all, thanks for sharing your great work on salient object detection!

When i reading the source code 【SOD100K/CSNet_training/model/csnet.py/build_model]】
I cannot find the implementation of the function 'redefine_model' in line918.

please give me some help!

关于backbone

请问有没有 ResNet50 的版本以及相应得到的saliency maps,而不是 Res2Net50

saliency maps

You only provide the saliency maps of CSF+Res2Net. Can you provide the saliency maps of CSNet?

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