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base repository: open-mmlab/mmdeploy
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base: v1.3.0
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head repository: open-mmlab/mmdeploy
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compare: main
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12 contributors

Commits on Sep 28, 2023

  1. export get_simcc_maximum for simcc (#2449) 

    * update

* update for simcc csrc

* fix docker ci

* update simcc_label
    @RunningLeon
    RunningLeon authored Sep 28, 2023
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    4cf0f92 View commit details

Commits on Oct 8, 2023

  1. CodeCamp2023-670 (#2476) 

    * Update the document of building mmdeploy with ncnn backend on Windows platform

* fix a bug

* fix lint error

* fix lint error
    @shuyaoyimei
    shuyaoyimei authored Oct 8, 2023
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    59449cc View commit details

  2. CodeCamp2023-671 (#2422) 

    * add nms ops

* add some file

* new file

* some change

* Update nms_match.cpp

* Update nms_match.cpp

* Update __init__.py

* Delete test_onnx_match.onnx

* Delete tests/test_ops/test_onnx_match.onnx

* Update test_nms_match_small.py

* Update test_nms_match_small.py

* Update nms_match.cpp

remove allocate

* Update nms_match.py

remove some test print

* Update test_nms_match_small.py

* Update nms_match.cpp

* Update nms_match.py

* Update test_nms_match_small.py

* fix the lint

fix the lint

* Update test_nms_match_small.py

* Update test_nms_match_small.py

* Update nms_match.cpp

* Update test_nms_match_small.py

* Update test_nms_match_small.py

add input_names

* Update onnxruntime.md

* Update onnxruntime.md

* Update test_nms_match_small.py

* Update onnxruntime.md

* Update onnxruntime.md

* Update test_nms_match_small.py

Add UT in nmsmatch

* Update test_nms_match_small.py

* Update test_nms_match_small.py
    @yinfan98
    yinfan98 authored Oct 8, 2023
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  3. CodeCamp2023-555 (#2469) 

    * support condinst from mmdet

* remove

* update

* update

* support batch inference

* add condinst head unit testing

* fix lint error

* remove

* fix bug in postprocess

* remove

* update

---------

Co-authored-by: RunningLeon <mnsheng@yeah.net>
    @Boomerl @RunningLeon
    Boomerl and RunningLeon authored Oct 8, 2023
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Commits on Oct 10, 2023

  1. add condinst ut & update docs (#2481)

    @Boomerl
    Boomerl authored Oct 10, 2023
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Commits on Oct 17, 2023

  1. support htc (#2438) 

    * support htc

* update mmdet.yml
    @irexyc
    irexyc authored Oct 17, 2023
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Commits on Oct 23, 2023

  1. [Fix] fix the onnx exportation for yoloxpose in mmpose (#2466) 

    * fix the onnx exportation for yoloxpose

* remove deprecated func

* refine code

* fix the rescaling process of top-down models

* fix ut

* add yoloxpose in regression test

* fix comment

* rebase & fix conflict
    @Ben-Louis
    Ben-Louis authored Oct 23, 2023
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Commits on Oct 26, 2023

  1. Roman duris/fix jetson wheel platform (#2497) 

    * generate_build_config.py now selects <any> wheel platform for system flag <jetson>

* Revert "generate_build_config.py now selects <any> wheel platform for system flag <jetson>"

This reverts commit d722bee.

* generate_build_config.py now selects <any> wheel platform for system flag <jetson>
    @roman-duris
    roman-duris authored Oct 26, 2023
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    e31f5a6 View commit details

Commits on Nov 9, 2023

  1. use different stream when create handle (#2526)

    @irexyc
    irexyc authored Nov 9, 2023
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Commits on Nov 23, 2023

  1. fix ort wrapper (#2560)

    @RunningLeon
    RunningLeon authored Nov 23, 2023
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    8b19586 View commit details

Commits on Nov 30, 2023

  1. Fix mask dimensions mismatch in rtmdet-ins models after exporting to … 

    …onnx (#2574)
    @LuukvandenBent
    LuukvandenBent authored Nov 30, 2023
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  2. Added the ability to build a project with PyTorch 2.0. (#2553) 

    * Added the ability to build a project with PyTorch 2.0.
Namely, I added the flag -std=c++17 to extra_compile_args
 depending on the version of Torch.

* Lost the condition for the presence of nvcc

* Lost the condition for the presence of nvcc

* Add parse_version

* fix lint

---------

Co-authored-by: Xin Chen <irexyc@gmail.com>
    @Danil328 @irexyc
    Danil328 and irexyc authored Nov 30, 2023
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Commits on Dec 14, 2023

  1. There was an error when using a model from the mmyolo repository duri… 

    …ng image preprocessing, provided that an array was supplied as input. If you input the path to the image, everything works fine. (#2554)
    @Danil328
    Danil328 authored Dec 14, 2023
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    6ff3c93 View commit details

  2. [Feature] Support ONNX and TensorRT exportation of RTMO models (#2597) 

    * support ONNX&TensorRT exportation of RTMO

* add configs for rtmo

* replace bbox expansion factor with parameter bbox_padding

* refine code

* refine comment

* apply model.switch_to_deploy in BaseTask.build_pytorch_model

* fix lint

* add rtmo into regression test

* add rtmo with trt backend into regression test

* add rtmo into supported model list
    @Ben-Louis
    Ben-Louis authored Dec 14, 2023
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    1e3d06d View commit details

Commits on Dec 21, 2023

  1. Fix "has no attribute startswith" (#2498) 

    The value needs to be converted to string first.
    @Y-T-G
    Y-T-G authored Dec 21, 2023
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    2b4abc6 View commit details

  2. Fix error when default_scope is None (#2499)

    @Y-T-G
    Y-T-G authored Dec 21, 2023
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    7079ec2 View commit details

  3. Fix inference on list of ndarrays (#2506)

    @Y-T-G
    Y-T-G authored Dec 21, 2023
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    97c1dc5 View commit details

  4. bugfix (#2581)

    @flytocc
    flytocc authored Dec 21, 2023
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Commits on Dec 25, 2023

  1. fix ci (#2609) 

    * fix ci

* change to ort fp32
    @RunningLeon
    RunningLeon authored Dec 25, 2023
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  2. bump version to v1.13.1 (#2613)

    @RunningLeon
    RunningLeon authored Dec 25, 2023
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Commits on Sep 30, 2024

  1. fix(mmdet/base_dense_head): 🐛 correct slicing issue in score softmax … 

    …for single-class models (#2827)

The softmax function previously sliced out the background class, which
caused an IndexError in single-class model export. This update removes
the slicing of background class scores, fixing the issue when exporting
RetinaNet with single-class configurations.

- Updated `base_dense_head__predict_by_feat` to prevent IndexError when
handling single-class outputs.
- This change is particularly relevant for RetinaNet model exports.
    @chuzhdontcode
    chuzhdontcode authored Sep 30, 2024
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