[Feature] add -with-labels arg to inferencer for visualization without labels #3466
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haruishi43
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haruishi43
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haruishi43
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xiexinch
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xiexinch
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Dec 14, 2023
This was referenced Dec 14, 2023
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…t labels (open-mmlab#3466) Thanks for your contribution and we appreciate it a lot. The following instructions would make your pull request more healthy and more easily get feedback. If you do not understand some items, don't worry, just make the pull request and seek help from maintainers. ## Motivation It is difficult to visualize without "labels" when using the inferencer. - While using the `MMSegInferencer`, the visualized prediction contains labels on the mask, but it is difficult to pass `withLabels=False` without rewriting the config (which is harder to do when you initialize the inferencer with a model name rather than the config). - I thought it would be easier to just pass `withLabels=False` to `inferencer.__call__()` since you can also pass `opacity` and other parameters anyway. ## Modification Please briefly describe what modification is made in this PR. - Added `with_labels` to `visualize_kwargs` inside `MMSegInferencer`. - Modified to `visualize()` function. ## BC-breaking (Optional) Does the modification introduce changes that break the backward-compatibility of the downstream repos? If so, please describe how it breaks the compatibility and how the downstream projects should modify their code to keep compatibility with this PR. ## Use cases (Optional) If this PR introduces a new feature, it is better to list some use cases here, and update the documentation. ## Checklist 1. Pre-commit or other linting tools are used to fix the potential lint issues. 2. The modification is covered by complete unit tests. If not, please add more unit test to ensure the correctness. 3. If the modification has potential influence on downstream projects, this PR should be tested with downstream projects, like MMDet or MMDet3D. 4. The documentation has been modified accordingly, like docstring or example tutorials. --------- Co-authored-by: xiexinch <xiexinch@outlook.com>
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What about using tools/test.py. Tha same problem occurs. |
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Thanks for your contribution and we appreciate it a lot. The following instructions would make your pull request more healthy and more easily get feedback. If you do not understand some items, don't worry, just make the pull request and seek help from maintainers.
Motivation
It is difficult to visualize without "labels" when using the inferencer.
MMSegInferencer, the visualized prediction contains labels on the mask, but it is difficult to passwithLabels=Falsewithout rewriting the config (which is harder to do when you initialize the inferencer with a model name rather than the config).withLabels=Falsetoinferencer.__call__()since you can also passopacityand other parameters anyway.Modification
Please briefly describe what modification is made in this PR.
with_labelstovisualize_kwargsinsideMMSegInferencer.visualize()function.-with-labelsargs toimage_demo.pyandimage_demo_with_inferencer.pyscripts.BC-breaking (Optional)
Does the modification introduce changes that break the backward-compatibility of the downstream repos?
If so, please describe how it breaks the compatibility and how the downstream projects should modify their code to keep compatibility with this PR.
Use cases (Optional)
Checklist