[Feature] support mim #549
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added 18 commits
March 2, 2021 15:09
support mmcli
add manifest.in and add config at setup.py
add requirements
modify manifest
add metafile
Codecov Report
@@ Coverage Diff @@
## master #549 +/- ##
==========================================
- Coverage 86.76% 86.41% -0.35%
==========================================
Files 101 101
Lines 5250 5279 +29
Branches 849 851 +2
==========================================
+ Hits 4555 4562 +7
- Misses 535 557 +22
Partials 160 160
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added 10 commits
May 13, 2021 10:21
Mmcli support
update metafile.yml
added 7 commits
May 15, 2021 15:51
|
Example for Swin Transformer open-mmlab/mim-example#1 |
xvjiarui
reviewed
May 27, 2021
configs/ccnet/metafile.yml
Outdated
| - Name: ccnet_r101-d8_512x512_160k_ade20k | ||
| In Collection: CCNet | ||
| Metadata: | ||
| inference time (fps): |
xvjiarui
approved these changes
May 31, 2021
bowenroom
pushed a commit
to bowenroom/mmsegmentation
that referenced
this pull request
Feb 25, 2022
* dice loss * format code, add docstring and calculate denominator without valid_mask * minor change * restore * add metafile * add manifest.in and add config at setup.py * add requirements * modify manifest * modify manifest * Update MANIFEST.in * add metafile * add metadata * fix typo * Update metafile.yml * Update metafile.yml * minor change * Update metafile.yml * add subfix * fix mmshow * add more metafile * add config to model_zoo * fix bug * Update mminstall.txt * [fix] Add models * [Fix] Add collections * [fix] Modify collection name * [Fix] Set datasets to unet metafile * [Fix] Modify collection names * complement inference time
aravind-h-v
pushed a commit
to aravind-h-v/mmsegmentation
that referenced
this pull request
Mar 27, 2023
* Add an argument "negative_prompt" * Fix argument order * Fix to use TypeError instead of ValueError * Removed needless batch_size multiplying * Fix to multiply by batch_size * Add truncation=True for long negative prompt * Update src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion.py Co-authored-by: Patrick von Platen <[email protected]> * Update src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion.py Co-authored-by: Patrick von Platen <[email protected]> * Update src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_inpaint.py Co-authored-by: Patrick von Platen <[email protected]> * Update src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_onnx.py Co-authored-by: Patrick von Platen <[email protected]> * Update src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_img2img.py Co-authored-by: Patrick von Platen <[email protected]> * Update src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_inpaint.py Co-authored-by: Patrick von Platen <[email protected]> * Update src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_onnx.py Co-authored-by: Patrick von Platen <[email protected]> * Fix styles * Renamed ucond_tokens to uncond_tokens * Added description about "negative_prompt" Co-authored-by: Patrick von Platen <[email protected]>
wjkim81
pushed a commit
to wjkim81/mmsegmentation
that referenced
this pull request
Dec 3, 2023
* add optimized_1f option to TCN * change to train_with_stride_conv * add unittest
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Reference
Add metafile, ref https://github.com/open-mmlab/mmdetection3d/blob/master/model_zoo.yml
Add MANIFEST.in, ref https://github.com/open-mmlab/mmdetection3d/blob/master/MANIFEST.in
Set
include_package_data=Trueat setup.py, ref https://github.com/open-mmlab/mmdetection3d/blob/master/setup.py#L151Add mminstall.txt to
requirements, ref https://github.com/open-mmlab/mmdetection3d/blob/master/requirements/mminstall.txt and https://github.com/open-mmlab/mmclassification/blob/master/requirements/mminstall.txt