In the paper ,I see "Directly feeding the high-resolution images in SODA to deep model is infeasible due to the GPU memory limitation,hence we crop original images into a series of 800 × 800
patches with a stride of 650"
But in tools/img_split the stride is 150
so ,which one should i choose
just run the script by default then you get the patches with a stride of 650.
in /tools/img_split/sodad_split.py, the argument stepSz is NOT the stride which follows the equation: patch_size - stepSz = stride.
Branch
master branch https://mmdetection.readthedocs.io/en/latest/
📚 The doc issue
In the paper ,I see "Directly feeding the high-resolution images in SODA to deep model is infeasible due to the GPU memory limitation,hence we crop original images into a series of 800 × 800 patches with a stride of 650" But in tools/img_split the stride is 150 so ,which one should i choose
Suggest a potential alternative/fix
No response