[Feature] Support iSAID aerial dataset. #1115
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Hi, @Waterman0524 . Could you grant authorization on me about your forked MMSegmentation followed here? Thus I could push my modifications on your branch.
Right now there is lint error by our CI in Github. I could use my local Best, |
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@@ Coverage Diff @@
## master #1115 +/- ##
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+ Coverage 90.22% 90.24% +0.02%
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Files 130 131 +1
Lines 7560 7599 +39
Branches 1258 1264 +6
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+ Hits 6821 6858 +37
Misses 531 531
- Partials 208 210 +2
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Add class name and palette to |
MengzhangLI
changed the title
…into mmsegmentation-2
…into mmsegmentation-2
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I also have the same concern, why crop_size=896 here? For other datasets, it always is 512 @Waterman0524
…into mmsegmentation-2
…into mmsegmentation-2
* support iSAID aerial dataset * Update and rename docs/dataset_prepare.md to 博士/dataset_prepare.md * Update dataset_prepare.md * fix typo * fix typo * fix typo * remove imgviz * fix wrong order in annotation name * upload models&logs * upload models&logs * add load_annotations * fix unittest coverage * fix unittest coverage * fix correct crop size in config * fix iSAID unit test * fix iSAID unit test * fix typos * fix wrong crop size in readme * use smaller figure as test data * add smaller dataset in test data * add blank in docs * use 0 bytes pseudo data * add footnote and comments for crop size * change iSAID to isaid and add default value in it * change iSAID to isaid in _base_ Co-authored-by: MengzhangLI <mcmong@pku.edu.cn>
* make accelerate hard dep * default fast init * move params to cpu when device map is None * handle device_map=None * handle torch < 1.9 * remove device_map="auto" * style * add accelerate in torch extra * remove accelerate from extras["test"] * raise an error if torch is available but not accelerate * update installation docs * Apply suggestions from code review Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * improve defautl loading speed even further, allow disabling fats loading * address review comments * adapt the tests * fix test_stable_diffusion_fast_load * fix test_read_init * temp fix for dummy checks * Trigger Build * Apply suggestions from code review Co-authored-by: Anton Lozhkov <anton@huggingface.co> Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> Co-authored-by: Anton Lozhkov <anton@huggingface.co>
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Hi @Waterman0524！First of all, we want to express our gratitude for your significant PR in the MMSegmentation project. Your contribution is highly appreciated, and we are grateful for your efforts in helping improve this open-source project during your personal time. We believe that many developers will benefit from your PR. We would also like to invite you to join our Special Interest Group (SIG) private channel on Discord, where you can share your experiences, ideas, and build connections with like-minded peers. To join the SIG channel, simply message moderator— OpenMMLab on Discord or briefly share your open-source contributions in the #introductions channel and we will assist you. Look forward to seeing you there! Join us ：https://discord.gg/UjgXkPWNqA If you have WeChat account，welcome to join our community on WeChat. You can add our assistant ：openmmlabwx. Please add "mmsig + Github ID" as a remark when adding friends：） |
Enhance the dataset diversity for MMSegmentation in Remote Sensing.
Update (2022.01.26)
TODO