Delete pipeline/mmocr

pipeline/mmocr/.coveragerc

@@ -1,3 +0,0 @@
-[run]
-omit =
-    */__init__.py

pipeline/mmocr/.dev_scripts/benchmark_full_models.txt

@@ -1,18 +0,0 @@
-textdet/dbnet/dbnet_resnet18_fpnc_1200e_icdar2015.py
-textdet/dbnetpp/dbnetpp_resnet50-dcnv2_fpnc_1200e_icdar2015.py
-textdet/drrg/drrg_resnet50_fpn-unet_1200e_ctw1500.py
-textdet/fcenet/fcenet_resnet50_fpn_1500e_icdar2015.py
-textdet/maskrcnn/mask-rcnn_resnet50_fpn_160e_icdar2015.py
-textdet/panet/panet_resnet18_fpem-ffm_600e_icdar2015.py
-textdet/psenet/psenet_resnet50_fpnf_600e_icdar2015.py
-textdet/textsnake/textsnake_resnet50_fpn-unet_1200e_ctw1500.py
-textrecog/abinet/abinet-vision_20e_st-an_mj.py
-textrecog/crnn/crnn_mini-vgg_5e_mj.py
-textrecog/master/master_resnet31_12e_st_mj_sa.py
-textrecog/nrtr/nrtr_resnet31-1by16-1by8_6e_st_mj.py
-textrecog/robust_scanner/robustscanner_resnet31_5e_st-sub_mj-sub_sa_real.py
-textrecog/sar/sar_resnet31_parallel-decoder_5e_st-sub_mj-sub_sa_real.py
-textrecog/satrn/satrn_shallow-small_5e_st_mj.py
-textrecog/satrn/satrn_shallow-small_5e_st_mj.py
-textrecog/aster/aster_resnet45_6e_st_mj.py
-textrecog/svtr/svtr-small_20e_st_mj.py

pipeline/mmocr/.dev_scripts/benchmark_options.py

@@ -1,7 +0,0 @@
-# Copyright (c) OpenMMLab. All rights reserved.
-
-third_part_libs = [
-    'pip install -r ../requirements/albu.txt',
-]
-
-default_floating_range = 0.5

pipeline/mmocr/.dev_scripts/benchmark_train_models.txt

@@ -1,9 +0,0 @@
-textdet/dbnetpp/dbnetpp_resnet50-dcnv2_fpnc_1200e_icdar2015.py
-textdet/fcenet/fcenet_resnet50_fpn_1500e_icdar2015.py
-textdet/maskrcnn/mask-rcnn_resnet50_fpn_160e_icdar2015.py
-textrecog/abinet/abinet-vision_20e_st-an_mj.py
-textrecog/crnn/crnn_mini-vgg_5e_mj.py
-textrecog/aster/aster_resnet45_6e_st_mj.py
-textrecog/nrtr/nrtr_resnet31-1by16-1by8_6e_st_mj.py
-textrecog/sar/sar_resnet31_parallel-decoder_5e_st-sub_mj-sub_sa_real.py
-textrecog/svtr/svtr-small_20e_st_mj.py

pipeline/mmocr/.dev_scripts/covignore.cfg

@@ -1,18 +0,0 @@
-# Each line should be the relative path to the root directory
-# of this repo. Support regular expression as well.
-# For example:
-# mmocr/models/textdet/postprocess/utils.py
-# .*/utils.py
-.*/__init__.py
-
-# It will be removed after all models have been refactored
-mmocr/utils/bbox_utils.py
-
-# Major part is covered, however, it's hard to cover model's output.
-mmocr/models/textdet/detectors/mmdet_wrapper.py
-
-# It will be removed after KieVisualizer and TextSpotterVisualizer
-mmocr/visualization/visualize.py
-
-# Add tests for data preparers later
-mmocr/datasets/preparers

pipeline/mmocr/.dev_scripts/diff_coverage_test.sh

@@ -1,43 +0,0 @@
-#!/bin/bash
-
-set -e
-
-readarray -t IGNORED_FILES < $( dirname "$0" )/covignore.cfg
-
-REUSE_COVERAGE_REPORT=${REUSE_COVERAGE_REPORT:-0}
-REPO=${1:-"origin"}
-BRANCH=${2:-"refactor_dev"}
-
-git fetch $REPO $BRANCH
-
-PY_FILES=""
-for FILE_NAME in $(git diff --name-only ${REPO}/${BRANCH}); do
-    # Only test python files in mmocr/ existing in current branch, and not ignored in covignore.cfg
-    if [ ${FILE_NAME: -3} == ".py" ] && [ ${FILE_NAME:0:6} == "mmocr/" ] && [ -f "$FILE_NAME" ]; then
-        IGNORED=false
-        for IGNORED_FILE_NAME in "${IGNORED_FILES[@]}"; do
-            # Skip blank lines
-            if [ -z "$IGNORED_FILE_NAME" ]; then
-                continue
-            fi
-            if [ "${IGNORED_FILE_NAME::1}" != "#" ] && [[ "$FILE_NAME" =~ $IGNORED_FILE_NAME ]]; then
-                echo "Ignoring $FILE_NAME"
-                IGNORED=true
-                break
-            fi
-        done
-        if [ "$IGNORED" = false ]; then
-            PY_FILES="$PY_FILES $FILE_NAME"
-        fi
-    fi
-done
-
-# Only test the coverage when PY_FILES are not empty, otherwise they will test the entire project
-if [ ! -z "${PY_FILES}" ]
-then
-    if [ "$REUSE_COVERAGE_REPORT" == "0" ]; then
-        coverage run --branch --source mmocr -m pytest tests/
-    fi
-    coverage report --fail-under 90 -m $PY_FILES
-    interrogate -v --ignore-init-method --ignore-module --ignore-nested-functions --ignore-magic --ignore-regex "__repr__" --fail-under 95 $PY_FILES
-fi

pipeline/mmocr/.github/CODE_OF_CONDUCT.md

@@ -1,76 +0,0 @@
-# Contributor Covenant Code of Conduct
-
-## Our Pledge
-
-In the interest of fostering an open and welcoming environment, we as
-contributors and maintainers pledge to making participation in our project and
-our community a harassment-free experience for everyone, regardless of age, body
-size, disability, ethnicity, sex characteristics, gender identity and expression,
-level of experience, education, socio-economic status, nationality, personal
-appearance, race, religion, or sexual identity and orientation.
-
-## Our Standards
-
-Examples of behavior that contributes to creating a positive environment
-include:
-
-- Using welcoming and inclusive language
-- Being respectful of differing viewpoints and experiences
-- Gracefully accepting constructive criticism
-- Focusing on what is best for the community
-- Showing empathy towards other community members
-
-Examples of unacceptable behavior by participants include:
-
-- The use of sexualized language or imagery and unwelcome sexual attention or
-  advances
-- Trolling, insulting/derogatory comments, and personal or political attacks
-- Public or private harassment
-- Publishing others' private information, such as a physical or electronic
-  address, without explicit permission
-- Other conduct which could reasonably be considered inappropriate in a
-  professional setting
-
-## Our Responsibilities
-
-Project maintainers are responsible for clarifying the standards of acceptable
-behavior and are expected to take appropriate and fair corrective action in
-response to any instances of unacceptable behavior.
-
-Project maintainers have the right and responsibility to remove, edit, or
-reject comments, commits, code, wiki edits, issues, and other contributions
-that are not aligned to this Code of Conduct, or to ban temporarily or
-permanently any contributor for other behaviors that they deem inappropriate,
-threatening, offensive, or harmful.
-
-## Scope
-
-This Code of Conduct applies both within project spaces and in public spaces
-when an individual is representing the project or its community. Examples of
-representing a project or community include using an official project e-mail
-address, posting via an official social media account, or acting as an appointed
-representative at an online or offline event. Representation of a project may be
-further defined and clarified by project maintainers.
-
-## Enforcement
-
-Instances of abusive, harassing, or otherwise unacceptable behavior may be
-reported by contacting the project team at chenkaidev@gmail.com. All
-complaints will be reviewed and investigated and will result in a response that
-is deemed necessary and appropriate to the circumstances. The project team is
-obligated to maintain confidentiality with regard to the reporter of an incident.
-Further details of specific enforcement policies may be posted separately.
-
-Project maintainers who do not follow or enforce the Code of Conduct in good
-faith may face temporary or permanent repercussions as determined by other
-members of the project's leadership.
-
-## Attribution
-
-This Code of Conduct is adapted from the [Contributor Covenant][homepage], version 1.4,
-available at https://www.contributor-covenant.org/version/1/4/code-of-conduct.html
-
-For answers to common questions about this code of conduct, see
-https://www.contributor-covenant.org/faq
-
-[homepage]: https://www.contributor-covenant.org

pipeline/mmocr/.github/CONTRIBUTING.md

@@ -1 +0,0 @@
-We appreciate all contributions to improve MMOCR. Please read [Contribution Guide](/docs/en/notes/contribution_guide.md) for step-by-step instructions to make a contribution to MMOCR, and [CONTRIBUTING.md](https://github.com/open-mmlab/mmcv/blob/master/CONTRIBUTING.md) in MMCV for more details about the contributing guideline.

pipeline/mmocr/.github/ISSUE_TEMPLATE/1-bug-report.yml

@@ -1,121 +0,0 @@
-name: "🐞 Bug report"
-description: "Create a report to help us reproduce and fix the bug"
-labels: kind/bug
-title: "[Bug] "
-
-body:
-  - type: markdown
-    attributes:
-      value: |
-        ## Note
-        For general usage questions or idea discussions, please post it to our [**Forum**](https://github.com/open-mmlab/mmocr/discussions)
-        If this issue is about installing MMCV, please file an issue at [MMCV](https://github.com/open-mmlab/mmcv/issues/new/choose).
-        If it's anything about model deployment, please raise it to [MMDeploy](https://github.com/open-mmlab/mmdeploy)
-
-        Please fill in as **much** of the following form as you're able to. **The clearer the description, the shorter it will take to solve it.**
-
-  - type: checkboxes
-    attributes:
-      label: Prerequisite
-      description: Please check the following items before creating a new issue.
-      options:
-      - label: I have searched [Issues](https://github.com/open-mmlab/mmocr/issues) and [Discussions](https://github.com/open-mmlab/mmocr/discussions) but cannot get the expected help.
-        required: true
-      # - label: I have read the [FAQ documentation](https://mmocr.readthedocs.io/en/1.x/notes/4_faq.html) but cannot get the expected help.
-      #   required: true
-      - label: The bug has not been fixed in the [latest version (0.x)](https://github.com/open-mmlab/mmocr) or [latest version (1.x)](https://github.com/open-mmlab/mmocr/tree/dev-1.x).
-        required: true
-
-  - type: dropdown
-    id: task
-    attributes:
-      label: Task
-      description: The problem arises when
-      options:
-        - I'm using the official example scripts/configs for the officially supported tasks/models/datasets.
-        - I have modified the scripts/configs, or I'm working on my own tasks/models/datasets.
-    validations:
-      required: true
-
-  - type: dropdown
-    id: branch
-    attributes:
-      label: Branch
-      description: The problem arises when I'm working on
-      options:
-        - main branch https://github.com/open-mmlab/mmocr
-        - 1.x branch https://github.com/open-mmlab/mmocr/tree/dev-1.x
-    validations:
-      required: true
-
-  - type: textarea
-    attributes:
-      label: Environment
-      description: |
-        Please run `python mmocr/utils/collect_env.py` to collect necessary environment information and copy-paste it here.
-        You may add additional information that may be helpful for locating the problem, such as
-          - How you installed PyTorch \[e.g., pip, conda, source\]
-          - Other environment variables that may be related (such as `$PATH`, `$LD_LIBRARY_PATH`, `$PYTHONPATH`, etc.)
-    validations:
-      required: true
-
-  - type: textarea
-    attributes:
-      label: Reproduces the problem - code sample
-      description: |
-        Please provide a code sample that reproduces the problem you ran into. It can be a Colab link or just a code snippet.
-      placeholder: |
-        ```python
-        # Sample code to reproduce the problem
-        ```
-    validations:
-      required: true
-
-  - type: textarea
-    attributes:
-      label: Reproduces the problem - command or script
-      description: |
-        What command or script did you run?
-      placeholder: |
-        ```shell
-        The command or script you run.
-        ```
-    validations:
-      required: true
-
-  - type: textarea
-    attributes:
-      label: Reproduces the problem - error message
-      description: |
-        Please provide the error message or logs you got, with the full traceback.
-
-        Tip: You can attach images or log files by dragging them into the text area..
-      placeholder: |
-        ```
-        The error message or logs you got, with the full traceback.
-        ```
-    validations:
-      required: true
-
-  - type: textarea
-    attributes:
-      label: Additional information
-      description: |
-        Tell us anything else you think we should know.
-
-        Tip: You can attach images or log files by dragging them into the text area.
-      placeholder: |
-        1. What's your expected result?
-        2. What dataset did you use?
-        3. What do you think might be the reason?
-
-  - type: markdown
-    attributes:
-      value: |
-        ## Acknowledgement
-        Thanks for taking the time to fill out this report.
-
-        If you have already identified the reason, we strongly appreciate you creating a new PR to fix it [**Here**](https://github.com/open-mmlab/mmocr/pulls)!
-        Please refer to [**Contribution Guide**](https://mmocr.readthedocs.io/en/dev-1.x/notes/contribution_guide.html) for contributing.
-
-        Welcome to join our [**Community**](https://mmocr.readthedocs.io/en/latest/contact.html) to discuss together. 👬

pipeline/mmocr/.github/ISSUE_TEMPLATE/2-feature_request.yml

@@ -1,39 +0,0 @@
-name: 🚀 Feature request
-description: Suggest an idea for this project
-labels: [feature-request]
-title: "[Feature] "
-
-body:
-  - type: markdown
-    attributes:
-      value: |
-        ## Note
-        For general usage questions or idea discussions, please post it to our [**Forum**](https://github.com/open-mmlab/mmocr/discussions)
-
-        Please fill in as **much** of the following form as you're able to. **The clearer the description, the shorter it will take to solve it.**
-
-  - type: textarea
-    attributes:
-      label: What is the feature?
-      description: Tell us more about the feature and how this feature can help.
-      placeholder: |
-        E.g., It is inconvenient when \[....\].
-    validations:
-      required: true
-
-  - type: textarea
-    attributes:
-      label: Any other context?
-      description: |
-        Have you considered any alternative solutions or features? If so, what are they? Also, feel free to add any other context or screenshots about the feature request here.
-
-  - type: markdown
-    attributes:
-      value: |
-        ## Acknowledgement
-        Thanks for taking the time to fill out this report.
-
-        We strongly appreciate you creating a new PR to implement it [**Here**](https://github.com/open-mmlab/mmocr/pulls)!
-        Please refer to [**Contribution Guide**](https://mmocr.readthedocs.io/en/dev-1.x/notes/contribution_guide.html) for contributing.
-
-        Welcome to join our [**Community**](https://mmocr.readthedocs.io/en/latest/contact.html) to discuss together. 👬

pipeline/mmocr/.github/ISSUE_TEMPLATE/3-new-model.yml

@@ -1,51 +0,0 @@
-name: "\U0001F31F New model/dataset/scheduler addition"
-description: Submit a proposal/request to implement a new model / dataset / scheduler
-labels: [ "feature-request" ]
-title: "[New Models] "
-
-
-body:
-  - type: markdown
-    attributes:
-      value: |
-        ## Note
-        For general usage questions or idea discussions, please post it to our [**Forum**](https://github.com/open-mmlab/mmocr/discussions)
-
-        Please fill in as **much** of the following form as you're able to. **The clearer the description, the shorter it will take to solve it.**
-
-  - type: textarea
-    id: description-request
-    validations:
-      required: true
-    attributes:
-      label: Model/Dataset/Scheduler description
-      description: |
-        Put any and all important information relative to the model/dataset/scheduler
-
-  - type: checkboxes
-    attributes:
-      label: Open source status
-      description: |
-          Please provide the open-source status, which would be very helpful
-      options:
-        - label: "The model implementation is available"
-        - label: "The model weights are available."
-
-  - type: textarea
-    id: additional-info
-    attributes:
-      label: Provide useful links for the implementation
-      description: |
-        Please provide information regarding the implementation, the weights, and the authors.
-        Please mention the authors by @gh-username if you're aware of their usernames.
-
-  - type: markdown
-    attributes:
-      value: |
-        ## Acknowledgement
-        Thanks for taking the time to fill out this report.
-
-        We strongly appreciate you creating a new PR to implement it [**Here**](https://github.com/open-mmlab/mmocr/pulls)!
-        Please refer to [**Contribution Guide**](https://mmocr.readthedocs.io/en/dev-1.x/notes/contribution_guide.html) for contributing.
-
-        Welcome to join our [**Community**](https://mmocr.readthedocs.io/en/latest/contact.html) to discuss together. 👬

pipeline/mmocr/.github/ISSUE_TEMPLATE/4-documentation.yml

@@ -1,48 +0,0 @@
-name: 📚 Documentation
-description: Report an issue related to the documentation.
-labels: "docs"
-title: "[Docs] "
-
-body:
-  - type: markdown
-    attributes:
-      value: |
-        ## Note
-        For general usage questions or idea discussions, please post it to our [**Forum**](https://github.com/open-mmlab/mmocr/discussions)
-        Please fill in as **much** of the following form as you're able to. **The clearer the description, the shorter it will take to solve it.**
-
-  - type: dropdown
-    id: branch
-    attributes:
-      label: Branch
-      description: This issue is related to the
-      options:
-        - master branch  https://mmocr.readthedocs.io/en/latest/
-        - 1.x branch https://mmocr.readthedocs.io/en/dev-1.x/
-    validations:
-      required: true
-
-  - type: textarea
-    attributes:
-      label: 📚 The doc issue
-      description: >
-        A clear and concise description the issue.
-    validations:
-      required: true
-
-  - type: textarea
-    attributes:
-      label: Suggest a potential alternative/fix
-      description: >
-        Tell us how we could improve the documentation in this regard.
-
-  - type: markdown
-    attributes:
-      value: |
-        ## Acknowledgement
-        Thanks for taking the time to fill out this report.
-
-        If you have already identified the reason, we strongly appreciate you creating a new PR to fix it [**here**](https://github.com/open-mmlab/mmocr/pulls)!
-        Please refer to [**Contribution Guide**](https://mmocr.readthedocs.io/en/dev-1.x/notes/contribution_guide.html) for contributing.
-
-        Welcome to join our [**Community**](https://mmocr.readthedocs.io/en/latest/contact.html) to discuss together. 👬

pipeline/mmocr/.github/ISSUE_TEMPLATE/config.yml

@@ -1,12 +0,0 @@
-blank_issues_enabled: false
-
-contact_links:
-  - name: ❔ FAQ
-    url: https://mmocr.readthedocs.io/en/dev-1.x/get_started/faq.html
-    about: Is your question frequently asked?
-  - name: 💬 Forum
-    url: https://github.com/open-mmlab/mmocr/discussions
-    about: Ask general usage questions and discuss with other MMOCR community members
-  - name: 🌐 Explore OpenMMLab
-    url: https://openmmlab.com/
-    about: Get know more about OpenMMLab

pipeline/mmocr/.github/pull_request_template.md

@@ -1,33 +0,0 @@
-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
-
-Please describe the motivation of this PR and the goal you want to achieve through this PR.
-
-## Modification
-
-Please briefly describe what modification is made in this PR.
-
-## BC-breaking (Optional)
-
-Does the modification introduce changes that break the backward-compatibility of the downstream repositories?
-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
-
-**Before PR**:
-
-- [ ] I have read and followed the workflow indicated in the [CONTRIBUTING.md](https://github.com/open-mmlab/mmocr/blob/main/.github/CONTRIBUTING.md) to create this PR.
-- [ ] Pre-commit or linting tools indicated in [CONTRIBUTING.md](https://github.com/open-mmlab/mmocr/blob/main/.github/CONTRIBUTING.md) are used to fix the potential lint issues.
-- [ ] Bug fixes are covered by unit tests, the case that causes the bug should be added in the unit tests.
-- [ ] New functionalities are covered by complete unit tests. If not, please add more unit test to ensure the correctness.
-- [ ] The documentation has been modified accordingly, including docstring or example tutorials.
-
-**After PR**:
-
-- [ ] If the modification has potential influence on downstream or other related projects, this PR should be tested with some of those projects.
-- [ ] CLA has been signed and all committers have signed the CLA in this PR.

pipeline/mmocr/.github/workflows/lint.yml

@@ -1,27 +0,0 @@
-name: lint
-
-on: [push, pull_request]
-
-concurrency:
-  group: ${{ github.workflow }}-${{ github.ref }}
-  cancel-in-progress: true
-
-jobs:
-  lint:
-    runs-on: ubuntu-latest
-    steps:
-      - uses: actions/checkout@v2
-      - name: Set up Python 3.7
-        uses: actions/setup-python@v2
-        with:
-          python-version: 3.7
-      - name: Install pre-commit hook
-        run: |
-          pip install pre-commit
-          pre-commit install
-      - name: Linting
-        run: pre-commit run --all-files
-      - name: Check docstring coverage
-        run: |
-          pip install interrogate
-          interrogate -v --ignore-init-method --ignore-module --ignore-nested-functions --ignore-regex "__repr__" --fail-under 90 mmocr

pipeline/mmocr/.github/workflows/merge_stage_test.yml

@@ -1,160 +0,0 @@
-name: merge_stage_test
-
-on:
-  push:
-    paths-ignore:
-      - 'README.md'
-      - 'README_zh-CN.md'
-      - 'docs/**'
-      - 'demo/**'
-      - '.dev_scripts/**'
-      - '.circleci/**'
-      - 'projects/**'
-    branches:
-      - dev-1.x
-
-concurrency:
-  group: ${{ github.workflow }}-${{ github.ref }}
-  cancel-in-progress: true
-
-jobs:
-  build_cpu_py:
-    runs-on: ubuntu-22.04
-    strategy:
-      matrix:
-        python-version: [3.8, 3.9]
-        torch: [1.8.1]
-        include:
-          - torch: 1.8.1
-            torchvision: 0.9.1
-    steps:
-      - uses: actions/checkout@v3
-      - name: Set up Python ${{ matrix.python-version }}
-        uses: actions/setup-python@v4
-        with:
-          python-version: ${{ matrix.python-version }}
-      - name: Upgrade pip
-        run: pip install pip --upgrade
-      - name: Install PyTorch
-        run: pip install torch==${{matrix.torch}}+cpu torchvision==${{matrix.torchvision}}+cpu -f https://download.pytorch.org/whl/cpu/torch_stable.html
-      - name: Install MMEngine
-        run: pip install git+https://github.com/open-mmlab/mmengine.git@main
-      - name: Install MMCV
-        run: |
-          pip install -U openmim
-          mim install 'mmcv >= 2.0.0rc1'
-      - name: Install MMDet
-        run: pip install git+https://github.com/open-mmlab/mmdetection.git@dev-3.x
-      - name: Install other dependencies
-        run: pip install -r requirements/tests.txt
-      - name: Build and install
-        run: rm -rf .eggs && pip install -e .
-      - name: Run unittests and generate coverage report
-        run: |
-          coverage run --branch --source mmocr -m pytest tests/
-          coverage xml
-          coverage report -m
-
-  build_cpu_pt:
-    runs-on: ubuntu-22.04
-    strategy:
-      matrix:
-        python-version: [3.7]
-        torch: [1.6.0, 1.7.1, 1.8.1, 1.9.1, 1.10.1, 1.11.0, 1.12.1, 1.13.0]
-        include:
-          - torch: 1.6.0
-            torchvision: 0.7.0
-          - torch: 1.7.1
-            torchvision: 0.8.2
-          - torch: 1.8.1
-            torchvision: 0.9.1
-          - torch: 1.9.1
-            torchvision: 0.10.1
-          - torch: 1.10.1
-            torchvision: 0.11.2
-          - torch: 1.11.0
-            torchvision: 0.12.0
-          - torch: 1.12.1
-            torchvision: 0.13.1
-          - torch: 1.13.0
-            torchvision: 0.14.0
-          - torch: 2.0.0
-            torchvision: 0.15.1
-            python-version: 3.8
-    steps:
-      - uses: actions/checkout@v3
-      - name: Set up Python ${{ matrix.python-version }}
-        uses: actions/setup-python@v4
-        with:
-          python-version: ${{ matrix.python-version }}
-      - name: Upgrade pip
-        run: pip install pip --upgrade
-      - name: Install PyTorch
-        run: pip install torch==${{matrix.torch}}+cpu torchvision==${{matrix.torchvision}}+cpu -f https://download.pytorch.org/whl/cpu/torch_stable.html
-      - name: Install MMEngine
-        run: pip install git+https://github.com/open-mmlab/mmengine.git@main
-      - name: Install MMCV
-        run: |
-          pip install -U openmim
-          mim install 'mmcv >= 2.0.0rc1'
-      - name: Install MMDet
-        run: pip install git+https://github.com/open-mmlab/mmdetection.git@dev-3.x
-      - name: Install other dependencies
-        run: pip install -r requirements/tests.txt
-      - name: Build and install
-        run: rm -rf .eggs && pip install -e .
-      - name: Run unittests and generate coverage report
-        run: |
-          coverage run --branch --source mmocr -m pytest tests/
-          coverage xml
-          coverage report -m
-      # Only upload coverage report for python3.7 && pytorch1.8.1 cpu
-      - name: Upload coverage to Codecov
-        if: ${{matrix.torch == '1.8.1' && matrix.python-version == '3.7'}}
-        uses: codecov/codecov-action@v1.0.14
-        with:
-          file: ./coverage.xml
-          flags: unittests
-          env_vars: OS,PYTHON
-          name: codecov-umbrella
-          fail_ci_if_error: false
-
-
-  build_windows:
-    runs-on: windows-2022
-    strategy:
-      matrix:
-        python: [3.7]
-        platform: [cpu, cu111]
-        torch: [1.8.1]
-        torchvision: [0.9.1]
-        include:
-          - python-version: 3.8
-            platform: cu117
-            torch: 2.0.0
-            torchvision: 0.15.1
-    steps:
-      - uses: actions/checkout@v2
-      - name: Set up Python ${{ matrix.python }}
-        uses: actions/setup-python@v2
-        with:
-          python-version: ${{ matrix.python }}
-      - name: Upgrade pip
-        run: python -m pip install --upgrade pip
-      - name: Install lmdb
-        run: pip install lmdb
-      - name: Install PyTorch
-        run: pip install torch==${{matrix.torch}}+${{matrix.platform}} torchvision==${{matrix.torchvision}}+${{matrix.platform}} -f https://download.pytorch.org/whl/${{matrix.platform}}/torch_stable.html
-      - name: Install mmocr dependencies
-        run: |
-          pip install git+https://github.com/open-mmlab/mmengine.git@main
-          pip install -U openmim
-          mim install 'mmcv >= 2.0.0rc1'
-          pip install git+https://github.com/open-mmlab/mmdetection.git@dev-3.x
-          pip install -r requirements/tests.txt
-      - name: Build and install
-        run: |
-          pip install -e .
-      - name: Run unittests and generate coverage report
-        run: |
-          pytest tests/

pipeline/mmocr/.github/workflows/pr_stage_test.yml

@@ -1,102 +0,0 @@
-name: pr_stage_test
-
-on:
-  pull_request:
-    paths-ignore:
-      - 'README.md'
-      - 'README_zh-CN.md'
-      - 'docs/**'
-      - 'demo/**'
-      - '.dev_scripts/**'
-      - '.circleci/**'
-      - 'projects/**'
-
-concurrency:
-  group: ${{ github.workflow }}-${{ github.ref }}
-  cancel-in-progress: true
-
-jobs:
-  build_cpu:
-    runs-on: ubuntu-22.04
-    strategy:
-      matrix:
-        python-version: [3.7]
-        include:
-          - torch: 1.8.1
-            torchvision: 0.9.1
-    steps:
-      - uses: actions/checkout@v3
-      - name: Set up Python ${{ matrix.python-version }}
-        uses: actions/setup-python@v4
-        with:
-          python-version: ${{ matrix.python-version }}
-      - name: Upgrade pip
-        run: pip install pip --upgrade
-      - name: Install PyTorch
-        run: pip install torch==${{matrix.torch}}+cpu torchvision==${{matrix.torchvision}}+cpu -f https://download.pytorch.org/whl/cpu/torch_stable.html
-      - name: Install MMEngine
-        run: pip install git+https://github.com/open-mmlab/mmengine.git@main
-      - name: Install MMCV
-        run: |
-          pip install -U openmim
-          mim install 'mmcv >= 2.0.0rc1'
-      - name: Install MMDet
-        run: pip install git+https://github.com/open-mmlab/mmdetection.git@dev-3.x
-      - name: Install other dependencies
-        run: pip install -r requirements/tests.txt
-      - name: Build and install
-        run: rm -rf .eggs && pip install -e .
-      - name: Run unittests and generate coverage report
-        run: |
-          coverage run --branch --source mmocr -m pytest tests/
-          coverage xml
-          coverage report -m
-      # Upload coverage report for python3.7 && pytorch1.8.1 cpu
-      - name: Upload coverage to Codecov
-        uses: codecov/codecov-action@v1.0.14
-        with:
-          file: ./coverage.xml
-          flags: unittests
-          env_vars: OS,PYTHON
-          name: codecov-umbrella
-          fail_ci_if_error: false
-
-
-  build_windows:
-    runs-on: windows-2022
-    strategy:
-      matrix:
-        python: [3.7]
-        platform: [cpu, cu111]
-        torch: [1.8.1]
-        torchvision: [0.9.1]
-        include:
-          - python-version: 3.8
-            platform: cu117
-            torch: 2.0.0
-            torchvision: 0.15.1
-    steps:
-      - uses: actions/checkout@v3
-      - name: Set up Python ${{ matrix.python }}
-        uses: actions/setup-python@v4
-        with:
-          python-version: ${{ matrix.python }}
-      - name: Upgrade pip
-        run: python -m pip install --upgrade pip
-      - name: Install lmdb
-        run: pip install lmdb
-      - name: Install PyTorch
-        run: pip install torch==${{matrix.torch}}+${{matrix.platform}} torchvision==${{matrix.torchvision}}+${{matrix.platform}} -f https://download.pytorch.org/whl/${{matrix.platform}}/torch_stable.html
-      - name: Install mmocr dependencies
-        run: |
-          pip install git+https://github.com/open-mmlab/mmengine.git@main
-          pip install -U openmim
-          mim install 'mmcv >= 2.0.0rc1'
-          pip install git+https://github.com/open-mmlab/mmdetection.git@dev-3.x
-          pip install -r requirements/tests.txt
-      - name: Build and install
-        run: |
-          pip install -e .
-      - name: Run unittests and generate coverage report
-        run: |
-          pytest tests/

pipeline/mmocr/.github/workflows/publish-to-pypi.yml

@@ -1,26 +0,0 @@
-name: deploy
-
-on: push
-
-concurrency:
-  group: ${{ github.workflow }}-${{ github.ref }}
-  cancel-in-progress: true
-
-jobs:
-  build-n-publish:
-    runs-on: ubuntu-latest
-    if: startsWith(github.event.ref, 'refs/tags')
-    steps:
-      - uses: actions/checkout@v2
-      - name: Set up Python 3.7
-        uses: actions/setup-python@v1
-        with:
-          python-version: 3.7
-      - name: Build MMOCR
-        run: |
-          pip install wheel
-          python setup.py sdist bdist_wheel
-      - name: Publish distribution to PyPI
-        run: |
-          pip install twine
-          twine upload dist/* -u __token__ -p ${{ secrets.pypi_password }}

pipeline/mmocr/.github/workflows/test_mim.yml

@@ -1,44 +0,0 @@
-name: test-mim
-
-on:
-  push:
-    paths:
-      - 'model-index.yml'
-      - 'configs/**'
-
-  pull_request:
-    paths:
-      - 'model-index.yml'
-      - 'configs/**'
-
-concurrency:
-  group: ${{ github.workflow }}-${{ github.ref }}
-  cancel-in-progress: true
-
-jobs:
-  build_cpu:
-    runs-on: ubuntu-18.04
-    strategy:
-      matrix:
-        python-version: [3.7]
-        torch: [1.8.0]
-        include:
-          - torch: 1.8.0
-            torch_version: torch1.8
-            torchvision: 0.9.0
-    steps:
-      - uses: actions/checkout@v2
-      - name: Set up Python ${{ matrix.python-version }}
-        uses: actions/setup-python@v2
-        with:
-          python-version: ${{ matrix.python-version }}
-      - name: Upgrade pip
-        run: pip install pip --upgrade
-      - name: Install PyTorch
-        run: pip install torch==${{matrix.torch}}+cpu torchvision==${{matrix.torchvision}}+cpu -f https://download.pytorch.org/whl/torch_stable.html
-      - name: Install openmim
-        run: pip install openmim
-      - name: Build and install
-        run: rm -rf .eggs && mim install -e .
-      - name: test commands of mim
-        run: mim search mmocr

pipeline/mmocr/.owners.yml

@@ -1,9 +0,0 @@
-assign:
-  strategy:
-    random
-    # daily-shift-based
-  scedule:
-    '*/1 * * * *'
-  assignees:
-    - gaotongxiao
-    - Harold-lkk

pipeline/mmocr/.pre-commit-config.yaml

@@ -1,63 +0,0 @@
-exclude: ^tests/data/
-repos:
-  - repo: https://github.com/PyCQA/flake8
-    rev: 5.0.4
-    hooks:
-      - id: flake8
-  - repo: https://github.com/zhouzaida/isort
-    rev: 5.12.1
-    hooks:
-      - id: isort
-  - repo: https://github.com/pre-commit/mirrors-yapf
-    rev: v0.32.0
-    hooks:
-      - id: yapf
-  - repo: https://github.com/codespell-project/codespell
-    rev: v2.2.1
-    hooks:
-      - id: codespell
-  - repo: https://github.com/pre-commit/pre-commit-hooks
-    rev: v4.3.0
-    hooks:
-      - id: trailing-whitespace
-        exclude: |
-            (?x)^(
-              dicts/|
-              projects/.*?/dicts/
-            )
-      - id: check-yaml
-      - id: end-of-file-fixer
-        exclude: |
-            (?x)^(
-              dicts/|
-              projects/.*?/dicts/
-            )
-      - id: requirements-txt-fixer
-      - id: double-quote-string-fixer
-      - id: check-merge-conflict
-      - id: fix-encoding-pragma
-        args: ["--remove"]
-      - id: mixed-line-ending
-        args: ["--fix=lf"]
-      - id: mixed-line-ending
-        args: ["--fix=lf"]
-  - repo: https://github.com/executablebooks/mdformat
-    rev: 0.7.9
-    hooks:
-      - id: mdformat
-        args: ["--number", "--table-width", "200"]
-        additional_dependencies:
-          - mdformat-openmmlab
-          - mdformat_frontmatter
-          - linkify-it-py
-  - repo: https://github.com/myint/docformatter
-    rev: v1.3.1
-    hooks:
-      - id: docformatter
-        args: ["--in-place", "--wrap-descriptions", "79"]
-  - repo: https://github.com/open-mmlab/pre-commit-hooks
-    rev: v0.2.0  # Use the ref you want to point at
-    hooks:
-      - id: check-algo-readme
-      - id: check-copyright
-        args: ["mmocr", "tests", "tools"]  # these directories will be checked

pipeline/mmocr/.pylintrc

@@ -1,621 +0,0 @@
-[MASTER]
-
-# A comma-separated list of package or module names from where C extensions may
-# be loaded. Extensions are loading into the active Python interpreter and may
-# run arbitrary code.
-extension-pkg-whitelist=
-
-# Specify a score threshold to be exceeded before program exits with error.
-fail-under=10.0
-
-# Add files or directories to the blacklist. They should be base names, not
-# paths.
-ignore=CVS,configs
-
-# Add files or directories matching the regex patterns to the blacklist. The
-# regex matches against base names, not paths.
-ignore-patterns=
-
-# Python code to execute, usually for sys.path manipulation such as
-# pygtk.require().
-#init-hook=
-
-# Use multiple processes to speed up Pylint. Specifying 0 will auto-detect the
-# number of processors available to use.
-jobs=1
-
-# Control the amount of potential inferred values when inferring a single
-# object. This can help the performance when dealing with large functions or
-# complex, nested conditions.
-limit-inference-results=100
-
-# List of plugins (as comma separated values of python module names) to load,
-# usually to register additional checkers.
-load-plugins=
-
-# Pickle collected data for later comparisons.
-persistent=yes
-
-# When enabled, pylint would attempt to guess common misconfiguration and emit
-# user-friendly hints instead of false-positive error messages.
-suggestion-mode=yes
-
-# Allow loading of arbitrary C extensions. Extensions are imported into the
-# active Python interpreter and may run arbitrary code.
-unsafe-load-any-extension=no
-
-
-[MESSAGES CONTROL]
-
-# Only show warnings with the listed confidence levels. Leave empty to show
-# all. Valid levels: HIGH, INFERENCE, INFERENCE_FAILURE, UNDEFINED.
-confidence=
-
-# Disable the message, report, category or checker with the given id(s). You
-# can either give multiple identifiers separated by comma (,) or put this
-# option multiple times (only on the command line, not in the configuration
-# file where it should appear only once). You can also use "--disable=all" to
-# disable everything first and then reenable specific checks. For example, if
-# you want to run only the similarities checker, you can use "--disable=all
-# --enable=similarities". If you want to run only the classes checker, but have
-# no Warning level messages displayed, use "--disable=all --enable=classes
-# --disable=W".
-disable=print-statement,
-        parameter-unpacking,
-        unpacking-in-except,
-        old-raise-syntax,
-        backtick,
-        long-suffix,
-        old-ne-operator,
-        old-octal-literal,
-        import-star-module-level,
-        non-ascii-bytes-literal,
-        raw-checker-failed,
-        bad-inline-option,
-        locally-disabled,
-        file-ignored,
-        suppressed-message,
-        useless-suppression,
-        deprecated-pragma,
-        use-symbolic-message-instead,
-        apply-builtin,
-        basestring-builtin,
-        buffer-builtin,
-        cmp-builtin,
-        coerce-builtin,
-        execfile-builtin,
-        file-builtin,
-        long-builtin,
-        raw_input-builtin,
-        reduce-builtin,
-        standarderror-builtin,
-        unicode-builtin,
-        xrange-builtin,
-        coerce-method,
-        delslice-method,
-        getslice-method,
-        setslice-method,
-        no-absolute-import,
-        old-division,
-        dict-iter-method,
-        dict-view-method,
-        next-method-called,
-        metaclass-assignment,
-        indexing-exception,
-        raising-string,
-        reload-builtin,
-        oct-method,
-        hex-method,
-        nonzero-method,
-        cmp-method,
-        input-builtin,
-        round-builtin,
-        intern-builtin,
-        unichr-builtin,
-        map-builtin-not-iterating,
-        zip-builtin-not-iterating,
-        range-builtin-not-iterating,
-        filter-builtin-not-iterating,
-        using-cmp-argument,
-        eq-without-hash,
-        div-method,
-        idiv-method,
-        rdiv-method,
-        exception-message-attribute,
-        invalid-str-codec,
-        sys-max-int,
-        bad-python3-import,
-        deprecated-string-function,
-        deprecated-str-translate-call,
-        deprecated-itertools-function,
-        deprecated-types-field,
-        next-method-defined,
-        dict-items-not-iterating,
-        dict-keys-not-iterating,
-        dict-values-not-iterating,
-        deprecated-operator-function,
-        deprecated-urllib-function,
-        xreadlines-attribute,
-        deprecated-sys-function,
-        exception-escape,
-        comprehension-escape,
-        no-member,
-        invalid-name,
-        too-many-branches,
-        wrong-import-order,
-        too-many-arguments,
-        missing-function-docstring,
-        missing-module-docstring,
-        too-many-locals,
-        too-few-public-methods,
-        abstract-method,
-        broad-except,
-        too-many-nested-blocks,
-        too-many-instance-attributes,
-        missing-class-docstring,
-        duplicate-code,
-        not-callable,
-        protected-access,
-        dangerous-default-value,
-        no-name-in-module,
-        logging-fstring-interpolation,
-        super-init-not-called,
-        redefined-builtin,
-        attribute-defined-outside-init,
-        arguments-differ,
-        cyclic-import,
-        bad-super-call,
-        too-many-statements
-
-# Enable the message, report, category or checker with the given id(s). You can
-# either give multiple identifier separated by comma (,) or put this option
-# multiple time (only on the command line, not in the configuration file where
-# it should appear only once). See also the "--disable" option for examples.
-enable=c-extension-no-member
-
-
-[REPORTS]
-
-# Python expression which should return a score less than or equal to 10. You
-# have access to the variables 'error', 'warning', 'refactor', and 'convention'
-# which contain the number of messages in each category, as well as 'statement'
-# which is the total number of statements analyzed. This score is used by the
-# global evaluation report (RP0004).
-evaluation=10.0 - ((float(5 * error + warning + refactor + convention) / statement) * 10)
-
-# Template used to display messages. This is a python new-style format string
-# used to format the message information. See doc for all details.
-#msg-template=
-
-# Set the output format. Available formats are text, parseable, colorized, json
-# and msvs (visual studio). You can also give a reporter class, e.g.
-# mypackage.mymodule.MyReporterClass.
-output-format=text
-
-# Tells whether to display a full report or only the messages.
-reports=no
-
-# Activate the evaluation score.
-score=yes
-
-
-[REFACTORING]
-
-# Maximum number of nested blocks for function / method body
-max-nested-blocks=5
-
-# Complete name of functions that never returns. When checking for
-# inconsistent-return-statements if a never returning function is called then
-# it will be considered as an explicit return statement and no message will be
-# printed.
-never-returning-functions=sys.exit
-
-
-[TYPECHECK]
-
-# List of decorators that produce context managers, such as
-# contextlib.contextmanager. Add to this list to register other decorators that
-# produce valid context managers.
-contextmanager-decorators=contextlib.contextmanager
-
-# List of members which are set dynamically and missed by pylint inference
-# system, and so shouldn't trigger E1101 when accessed. Python regular
-# expressions are accepted.
-generated-members=
-
-# Tells whether missing members accessed in mixin class should be ignored. A
-# mixin class is detected if its name ends with "mixin" (case insensitive).
-ignore-mixin-members=yes
-
-# Tells whether to warn about missing members when the owner of the attribute
-# is inferred to be None.
-ignore-none=yes
-
-# This flag controls whether pylint should warn about no-member and similar
-# checks whenever an opaque object is returned when inferring. The inference
-# can return multiple potential results while evaluating a Python object, but
-# some branches might not be evaluated, which results in partial inference. In
-# that case, it might be useful to still emit no-member and other checks for
-# the rest of the inferred objects.
-ignore-on-opaque-inference=yes
-
-# List of class names for which member attributes should not be checked (useful
-# for classes with dynamically set attributes). This supports the use of
-# qualified names.
-ignored-classes=optparse.Values,thread._local,_thread._local
-
-# List of module names for which member attributes should not be checked
-# (useful for modules/projects where namespaces are manipulated during runtime
-# and thus existing member attributes cannot be deduced by static analysis). It
-# supports qualified module names, as well as Unix pattern matching.
-ignored-modules=
-
-# Show a hint with possible names when a member name was not found. The aspect
-# of finding the hint is based on edit distance.
-missing-member-hint=yes
-
-# The minimum edit distance a name should have in order to be considered a
-# similar match for a missing member name.
-missing-member-hint-distance=1
-
-# The total number of similar names that should be taken in consideration when
-# showing a hint for a missing member.
-missing-member-max-choices=1
-
-# List of decorators that change the signature of a decorated function.
-signature-mutators=
-
-
-[SPELLING]
-
-# Limits count of emitted suggestions for spelling mistakes.
-max-spelling-suggestions=4
-
-# Spelling dictionary name. Available dictionaries: none. To make it work,
-# install the python-enchant package.
-spelling-dict=
-
-# List of comma separated words that should not be checked.
-spelling-ignore-words=
-
-# A path to a file that contains the private dictionary; one word per line.
-spelling-private-dict-file=
-
-# Tells whether to store unknown words to the private dictionary (see the
-# --spelling-private-dict-file option) instead of raising a message.
-spelling-store-unknown-words=no
-
-
-[LOGGING]
-
-# The type of string formatting that logging methods do. `old` means using %
-# formatting, `new` is for `{}` formatting.
-logging-format-style=old
-
-# Logging modules to check that the string format arguments are in logging
-# function parameter format.
-logging-modules=logging
-
-
-[VARIABLES]
-
-# List of additional names supposed to be defined in builtins. Remember that
-# you should avoid defining new builtins when possible.
-additional-builtins=
-
-# Tells whether unused global variables should be treated as a violation.
-allow-global-unused-variables=yes
-
-# List of strings which can identify a callback function by name. A callback
-# name must start or end with one of those strings.
-callbacks=cb_,
-          _cb
-
-# A regular expression matching the name of dummy variables (i.e. expected to
-# not be used).
-dummy-variables-rgx=_+$|(_[a-zA-Z0-9_]*[a-zA-Z0-9]+?$)|dummy|^ignored_|^unused_
-
-# Argument names that match this expression will be ignored. Default to name
-# with leading underscore.
-ignored-argument-names=_.*|^ignored_|^unused_
-
-# Tells whether we should check for unused import in __init__ files.
-init-import=no
-
-# List of qualified module names which can have objects that can redefine
-# builtins.
-redefining-builtins-modules=six.moves,past.builtins,future.builtins,builtins,io
-
-
-[FORMAT]
-
-# Expected format of line ending, e.g. empty (any line ending), LF or CRLF.
-expected-line-ending-format=
-
-# Regexp for a line that is allowed to be longer than the limit.
-ignore-long-lines=^\s*(# )?<?https?://\S+>?$
-
-# Number of spaces of indent required inside a hanging or continued line.
-indent-after-paren=4
-
-# String used as indentation unit. This is usually "    " (4 spaces) or "\t" (1
-# tab).
-indent-string='    '
-
-# Maximum number of characters on a single line.
-max-line-length=100
-
-# Maximum number of lines in a module.
-max-module-lines=1000
-
-# Allow the body of a class to be on the same line as the declaration if body
-# contains single statement.
-single-line-class-stmt=no
-
-# Allow the body of an if to be on the same line as the test if there is no
-# else.
-single-line-if-stmt=no
-
-
-[STRING]
-
-# This flag controls whether inconsistent-quotes generates a warning when the
-# character used as a quote delimiter is used inconsistently within a module.
-check-quote-consistency=no
-
-# This flag controls whether the implicit-str-concat should generate a warning
-# on implicit string concatenation in sequences defined over several lines.
-check-str-concat-over-line-jumps=no
-
-
-[SIMILARITIES]
-
-# Ignore comments when computing similarities.
-ignore-comments=yes
-
-# Ignore docstrings when computing similarities.
-ignore-docstrings=yes
-
-# Ignore imports when computing similarities.
-ignore-imports=no
-
-# Minimum lines number of a similarity.
-min-similarity-lines=4
-
-
-[MISCELLANEOUS]
-
-# List of note tags to take in consideration, separated by a comma.
-notes=FIXME,
-      XXX,
-      TODO
-
-# Regular expression of note tags to take in consideration.
-#notes-rgx=
-
-
-[BASIC]
-
-# Naming style matching correct argument names.
-argument-naming-style=snake_case
-
-# Regular expression matching correct argument names. Overrides argument-
-# naming-style.
-#argument-rgx=
-
-# Naming style matching correct attribute names.
-attr-naming-style=snake_case
-
-# Regular expression matching correct attribute names. Overrides attr-naming-
-# style.
-#attr-rgx=
-
-# Bad variable names which should always be refused, separated by a comma.
-bad-names=foo,
-          bar,
-          baz,
-          toto,
-          tutu,
-          tata
-
-# Bad variable names regexes, separated by a comma. If names match any regex,
-# they will always be refused
-bad-names-rgxs=
-
-# Naming style matching correct class attribute names.
-class-attribute-naming-style=any
-
-# Regular expression matching correct class attribute names. Overrides class-
-# attribute-naming-style.
-#class-attribute-rgx=
-
-# Naming style matching correct class names.
-class-naming-style=PascalCase
-
-# Regular expression matching correct class names. Overrides class-naming-
-# style.
-#class-rgx=
-
-# Naming style matching correct constant names.
-const-naming-style=UPPER_CASE
-
-# Regular expression matching correct constant names. Overrides const-naming-
-# style.
-#const-rgx=
-
-# Minimum line length for functions/classes that require docstrings, shorter
-# ones are exempt.
-docstring-min-length=-1
-
-# Naming style matching correct function names.
-function-naming-style=snake_case
-
-# Regular expression matching correct function names. Overrides function-
-# naming-style.
-#function-rgx=
-
-# Good variable names which should always be accepted, separated by a comma.
-good-names=i,
-           j,
-           k,
-           ex,
-           Run,
-           _,
-           x,
-           y,
-           w,
-           h,
-           a,
-           b
-
-# Good variable names regexes, separated by a comma. If names match any regex,
-# they will always be accepted
-good-names-rgxs=
-
-# Include a hint for the correct naming format with invalid-name.
-include-naming-hint=no
-
-# Naming style matching correct inline iteration names.
-inlinevar-naming-style=any
-
-# Regular expression matching correct inline iteration names. Overrides
-# inlinevar-naming-style.
-#inlinevar-rgx=
-
-# Naming style matching correct method names.
-method-naming-style=snake_case
-
-# Regular expression matching correct method names. Overrides method-naming-
-# style.
-#method-rgx=
-
-# Naming style matching correct module names.
-module-naming-style=snake_case
-
-# Regular expression matching correct module names. Overrides module-naming-
-# style.
-#module-rgx=
-
-# Colon-delimited sets of names that determine each other's naming style when
-# the name regexes allow several styles.
-name-group=
-
-# Regular expression which should only match function or class names that do
-# not require a docstring.
-no-docstring-rgx=^_
-
-# List of decorators that produce properties, such as abc.abstractproperty. Add
-# to this list to register other decorators that produce valid properties.
-# These decorators are taken in consideration only for invalid-name.
-property-classes=abc.abstractproperty
-
-# Naming style matching correct variable names.
-variable-naming-style=snake_case
-
-# Regular expression matching correct variable names. Overrides variable-
-# naming-style.
-#variable-rgx=
-
-
-[DESIGN]
-
-# Maximum number of arguments for function / method.
-max-args=5
-
-# Maximum number of attributes for a class (see R0902).
-max-attributes=7
-
-# Maximum number of boolean expressions in an if statement (see R0916).
-max-bool-expr=5
-
-# Maximum number of branch for function / method body.
-max-branches=12
-
-# Maximum number of locals for function / method body.
-max-locals=15
-
-# Maximum number of parents for a class (see R0901).
-max-parents=7
-
-# Maximum number of public methods for a class (see R0904).
-max-public-methods=20
-
-# Maximum number of return / yield for function / method body.
-max-returns=6
-
-# Maximum number of statements in function / method body.
-max-statements=50
-
-# Minimum number of public methods for a class (see R0903).
-min-public-methods=2
-
-
-[IMPORTS]
-
-# List of modules that can be imported at any level, not just the top level
-# one.
-allow-any-import-level=
-
-# Allow wildcard imports from modules that define __all__.
-allow-wildcard-with-all=no
-
-# Analyse import fallback blocks. This can be used to support both Python 2 and
-# 3 compatible code, which means that the block might have code that exists
-# only in one or another interpreter, leading to false positives when analysed.
-analyse-fallback-blocks=no
-
-# Deprecated modules which should not be used, separated by a comma.
-deprecated-modules=optparse,tkinter.tix
-
-# Create a graph of external dependencies in the given file (report RP0402 must
-# not be disabled).
-ext-import-graph=
-
-# Create a graph of every (i.e. internal and external) dependencies in the
-# given file (report RP0402 must not be disabled).
-import-graph=
-
-# Create a graph of internal dependencies in the given file (report RP0402 must
-# not be disabled).
-int-import-graph=
-
-# Force import order to recognize a module as part of the standard
-# compatibility libraries.
-known-standard-library=
-
-# Force import order to recognize a module as part of a third party library.
-known-third-party=enchant
-
-# Couples of modules and preferred modules, separated by a comma.
-preferred-modules=
-
-
-[CLASSES]
-
-# List of method names used to declare (i.e. assign) instance attributes.
-defining-attr-methods=__init__,
-                      __new__,
-                      setUp,
-                      __post_init__
-
-# List of member names, which should be excluded from the protected access
-# warning.
-exclude-protected=_asdict,
-                  _fields,
-                  _replace,
-                  _source,
-                  _make
-
-# List of valid names for the first argument in a class method.
-valid-classmethod-first-arg=cls
-
-# List of valid names for the first argument in a metaclass class method.
-valid-metaclass-classmethod-first-arg=cls
-
-
-[EXCEPTIONS]
-
-# Exceptions that will emit a warning when being caught. Defaults to
-# "BaseException, Exception".
-overgeneral-exceptions=BaseException,
-                       Exception

pipeline/mmocr/.readthedocs.yml

@@ -1,9 +0,0 @@
-version: 2
-
-formats: all
-
-python:
-    version: 3.7
-    install:
-      - requirements: requirements/docs.txt
-      - requirements: requirements/readthedocs.txt

pipeline/mmocr/CITATION.cff

@@ -1,9 +0,0 @@
-cff-version: 1.2.0
-message: "If you use this software, please cite it as below."
-title: "OpenMMLab Text Detection, Recognition and Understanding Toolbox"
-authors:
-  - name: "MMOCR Contributors"
-version: 0.3.0
-date-released: 2020-08-15
-repository-code: "https://github.com/open-mmlab/mmocr"
-license: Apache-2.0

pipeline/mmocr/LICENSE

@@ -1,203 +0,0 @@
-Copyright (c) MMOCR Authors. All rights reserved.
-
-                                 Apache License
-                           Version 2.0, January 2004
-                        http://www.apache.org/licenses/
-
-   TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
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-   6. Trademarks. This License does not grant permission to use the trade
-      names, trademarks, service marks, or product names of the Licensor,
-      except as required for reasonable and customary use in describing the
-      origin of the Work and reproducing the content of the NOTICE file.
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-      agreed to in writing, Licensor provides the Work (and each
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-   9. Accepting Warranty or Additional Liability. While redistributing
-      the Work or Derivative Works thereof, You may choose to offer,
-      and charge a fee for, acceptance of support, warranty, indemnity,
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-      License. However, in accepting such obligations, You may act only
-      on Your own behalf and on Your sole responsibility, not on behalf
-      of any other Contributor, and only if You agree to indemnify,
-      defend, and hold each Contributor harmless for any liability
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-      of your accepting any such warranty or additional liability.
-
-   END OF TERMS AND CONDITIONS
-
-   APPENDIX: How to apply the Apache License to your work.
-
-      To apply the Apache License to your work, attach the following
-      boilerplate notice, with the fields enclosed by brackets "[]"
-      replaced with your own identifying information. (Don't include
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-      file or class name and description of purpose be included on the
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-
-   Copyright 2021 MMOCR Authors. All rights reserved.
-
-   Licensed under the Apache License, Version 2.0 (the "License");
-   you may not use this file except in compliance with the License.
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pipeline/mmocr/MANIFEST.in

@@ -1,5 +0,0 @@
-include requirements/*.txt
-include mmocr/.mim/model-index.yml
-include mmocr/.mim/dicts/*.txt
-recursive-include mmocr/.mim/configs *.py *.yml
-recursive-include mmocr/.mim/tools *.sh *.py

pipeline/mmocr/README_zh-CN.md

@@ -1,250 +0,0 @@
-<div align="center">
-  <img src="resources/mmocr-logo.png" width="500px"/>
-  <div>&nbsp;</div>
-  <div align="center">
-    <b><font size="5">OpenMMLab 官网</font></b>
-    <sup>
-      <a href="https://openmmlab.com">
-        <i><font size="4">HOT</font></i>
-      </a>
-    </sup>
-    &nbsp;&nbsp;&nbsp;&nbsp;
-    <b><font size="5">OpenMMLab 开放平台</font></b>
-    <sup>
-      <a href="https://platform.openmmlab.com">
-        <i><font size="4">TRY IT OUT</font></i>
-      </a>
-    </sup>
-  </div>
-  <div>&nbsp;</div>
-
-[![build](https://github.com/open-mmlab/mmocr/workflows/build/badge.svg)](https://github.com/open-mmlab/mmocr/actions)
-[![docs](https://readthedocs.org/projects/mmocr/badge/?version=dev-1.x)](https://mmocr.readthedocs.io/en/dev-1.x/?badge=dev-1.x)
-[![codecov](https://codecov.io/gh/open-mmlab/mmocr/branch/main/graph/badge.svg)](https://codecov.io/gh/open-mmlab/mmocr)
-[![license](https://img.shields.io/github/license/open-mmlab/mmocr.svg)](https://github.com/open-mmlab/mmocr/blob/main/LICENSE)
-[![PyPI](https://badge.fury.io/py/mmocr.svg)](https://pypi.org/project/mmocr/)
-[![Average time to resolve an issue](https://isitmaintained.com/badge/resolution/open-mmlab/mmocr.svg)](https://github.com/open-mmlab/mmocr/issues)
-[![Percentage of issues still open](https://isitmaintained.com/badge/open/open-mmlab/mmocr.svg)](https://github.com/open-mmlab/mmocr/issues)
-<a href="https://console.tiyaro.ai/explore?q=mmocr&pub=mmocr"> <img src="https://tiyaro-public-docs.s3.us-west-2.amazonaws.com/assets/try_on_tiyaro_badge.svg"></a>
-
-[📘文档](https://mmocr.readthedocs.io/zh_CN/dev-1.x/) |
-[🛠️安装](https://mmocr.readthedocs.io/zh_CN/dev-1.x/get_started/install.html) |
-[👀模型库](https://mmocr.readthedocs.io/zh_CN/dev-1.x/modelzoo.html) |
-[🆕更新日志](https://mmocr.readthedocs.io/en/dev-1.x/notes/changelog.html) |
-[🤔报告问题](https://github.com/open-mmlab/mmocr/issues/new/choose)
-
-</div>
-
-<div align="center">
-
-[English](/README.md) | 简体中文
-
-</div>
-
-<div align="center">
-  <a href="https://openmmlab.medium.com/" style="text-decoration:none;">
-    <img src="https://user-images.githubusercontent.com/25839884/219255827-67c1a27f-f8c5-46a9-811d-5e57448c61d1.png" width="3%" alt="" /></a>
-  <img src="https://user-images.githubusercontent.com/25839884/218346358-56cc8e2f-a2b8-487f-9088-32480cceabcf.png" width="3%" alt="" />
-  <a href="https://discord.gg/raweFPmdzG" style="text-decoration:none;">
-    <img src="https://user-images.githubusercontent.com/25839884/218347213-c080267f-cbb6-443e-8532-8e1ed9a58ea9.png" width="3%" alt="" /></a>
-  <img src="https://user-images.githubusercontent.com/25839884/218346358-56cc8e2f-a2b8-487f-9088-32480cceabcf.png" width="3%" alt="" />
-  <a href="https://twitter.com/OpenMMLab" style="text-decoration:none;">
-    <img src="https://user-images.githubusercontent.com/25839884/218346637-d30c8a0f-3eba-4699-8131-512fb06d46db.png" width="3%" alt="" /></a>
-  <img src="https://user-images.githubusercontent.com/25839884/218346358-56cc8e2f-a2b8-487f-9088-32480cceabcf.png" width="3%" alt="" />
-  <a href="https://www.youtube.com/openmmlab" style="text-decoration:none;">
-    <img src="https://user-images.githubusercontent.com/25839884/218346691-ceb2116a-465a-40af-8424-9f30d2348ca9.png" width="3%" alt="" /></a>
-  <img src="https://user-images.githubusercontent.com/25839884/218346358-56cc8e2f-a2b8-487f-9088-32480cceabcf.png" width="3%" alt="" />
-  <a href="https://space.bilibili.com/1293512903" style="text-decoration:none;">
-    <img src="https://user-images.githubusercontent.com/25839884/219026751-d7d14cce-a7c9-4e82-9942-8375fca65b99.png" width="3%" alt="" /></a>
-  <img src="https://user-images.githubusercontent.com/25839884/218346358-56cc8e2f-a2b8-487f-9088-32480cceabcf.png" width="3%" alt="" />
-  <a href="https://www.zhihu.com/people/openmmlab" style="text-decoration:none;">
-    <img src="https://user-images.githubusercontent.com/25839884/219026120-ba71e48b-6e94-4bd4-b4e9-b7d175b5e362.png" width="3%" alt="" /></a>
-</div>
-
-## 近期更新
-
-**默认分支目前为 `main`，且分支上的代码已经切换到 v1.0.0 版本。旧版 `main` 分支（v0.6.3）的代码现存在 `0.x` 分支上。** 如果您一直在使用 `main` 分支，并遇到升级问题，请阅读 [迁移指南](https://mmocr.readthedocs.io/zh_CN/dev-1.x/migration/overview.html) 和 [分支说明](https://mmocr.readthedocs.io/zh_CN/dev-1.x/migration/branches.html) 。
-
-最新的版本 v1.0.0 于 2023-04-06 发布。其相对于 1.0.0rc6 的主要更新如下：
-
-1. Dataset Preparer 中支持了 SCUT-CTW1500, SynthText 和 MJSynth 数据集；
-2. 更新了文档和 FAQ；
-3. 升级文件后端；使用了 `backend_args` 替换 `file_client_args`;
-4. 增加了 MMOCR 教程 notebook。
-
-如果需要了解 MMOCR 1.0 相对于 0.x 的升级内容，请阅读 [MMOCR 1.x 更新汇总](https://mmocr.readthedocs.io/zh_CN/dev-1.x/migration/news.html)；或者阅读[更新日志](https://mmocr.readthedocs.io/zh_CN/dev-1.x/notes/changelog.html)以获取更多信息。
-
-## 简介
-
-MMOCR 是基于 PyTorch 和 mmdetection 的开源工具箱，专注于文本检测，文本识别以及相应的下游任务，如关键信息提取。 它是 OpenMMLab 项目的一部分。
-
-主分支目前支持 **PyTorch 1.6 以上**的版本。
-
-<div align="center">
-  <img src="https://user-images.githubusercontent.com/24622904/187838618-1fdc61c0-2d46-49f9-8502-976ffdf01f28.png"/>
-</div>
-
-### 主要特性
-
--**全流程**
-
-该工具箱不仅支持文本检测和文本识别，还支持其下游任务，例如关键信息提取。
-
--**多种模型**
-
-该工具箱支持用于文本检测，文本识别和关键信息提取的各种最新模型。
-
--**模块化设计**
-
-MMOCR 的模块化设计使用户可以定义自己的优化器，数据预处理器，模型组件如主干模块，颈部模块和头部模块，以及损失函数。有关如何构建自定义模型的信息，请参考[概览](https://mmocr.readthedocs.io/zh_CN/dev-1.x/get_started/overview.html)。
-
--**众多实用工具**
-
-该工具箱提供了一套全面的实用程序，可以帮助用户评估模型的性能。它包括可对图像，标注的真值以及预测结果进行可视化的可视化工具，以及用于在训练过程中评估模型的验证工具。它还包括数据转换器，演示了如何将用户自建的标注数据转换为 MMOCR 支持的标注文件。
-
-## 安装
-
-MMOCR 依赖 [PyTorch](https://pytorch.org/), [MMEngine](https://github.com/open-mmlab/mmengine), [MMCV](https://github.com/open-mmlab/mmcv) 和 [MMDetection](https://github.com/open-mmlab/mmdetection)，以下是安装的简要步骤。
-更详细的安装指南请参考 [安装文档](https://mmocr.readthedocs.io/zh_CN/dev-1.x/get_started/install.html)。
-
-```shell
-conda create -n open-mmlab python=3.8 pytorch=1.10 cudatoolkit=11.3 torchvision -c pytorch -y
-conda activate open-mmlab
-pip3 install openmim
-git clone https://github.com/open-mmlab/mmocr.git
-cd mmocr
-mim install -e .
-```
-
-## 快速入门
-
-请参考[快速入门](https://mmocr.readthedocs.io/zh_CN/dev-1.x/get_started/quick_run.html)文档学习 MMOCR 的基本使用。
-
-## [模型库](https://mmocr.readthedocs.io/zh_CN/dev-1.x/modelzoo.html)
-
-支持的算法：
-
-<details open>
-<summary>骨干网络</summary>
-
-- [x] [oCLIP](configs/backbone/oclip/README.md) (ECCV'2022)
-
-</details>
-
-<details open>
-<summary>文字检测</summary>
-
-- [x] [DBNet](configs/textdet/dbnet/README.md) (AAAI'2020) / [DBNet++](configs/textdet/dbnetpp/README.md) (TPAMI'2022)
-- [x] [Mask R-CNN](configs/textdet/maskrcnn/README.md) (ICCV'2017)
-- [x] [PANet](configs/textdet/panet/README.md) (ICCV'2019)
-- [x] [PSENet](configs/textdet/psenet/README.md) (CVPR'2019)
-- [x] [TextSnake](configs/textdet/textsnake/README.md) (ECCV'2018)
-- [x] [DRRG](configs/textdet/drrg/README.md) (CVPR'2020)
-- [x] [FCENet](configs/textdet/fcenet/README.md) (CVPR'2021)
-
-</details>
-
-<details open>
-<summary>文字识别</summary>
-
-- [x] [ABINet](configs/textrecog/abinet/README.md) (CVPR'2021)
-- [x] [ASTER](configs/textrecog/aster/README.md) (TPAMI'2018)
-- [x] [CRNN](configs/textrecog/crnn/README.md) (TPAMI'2016)
-- [x] [MASTER](configs/textrecog/master/README.md) (PR'2021)
-- [x] [NRTR](configs/textrecog/nrtr/README.md) (ICDAR'2019)
-- [x] [RobustScanner](configs/textrecog/robust_scanner/README.md) (ECCV'2020)
-- [x] [SAR](configs/textrecog/sar/README.md) (AAAI'2019)
-- [x] [SATRN](configs/textrecog/satrn/README.md) (CVPR'2020 Workshop on Text and Documents in the Deep Learning Era)
-- [x] [SVTR](configs/textrecog/svtr/README.md) (IJCAI'2022)
-
-</details>
-
-<details open>
-<summary>关键信息提取</summary>
-
-- [x] [SDMG-R](configs/kie/sdmgr/README.md) (ArXiv'2021)
-
-</details>
-
-<details open>
-<summary>端对端 OCR</summary>
-
-- [x] [ABCNet](projects/ABCNet/README.md) (CVPR'2020)
-- [x] [ABCNetV2](projects/ABCNet/README_V2.md) (TPAMI'2021)
-- [x] [SPTS](projects/SPTS/README.md) (ACM MM'2022)
-
-</details>
-
-请点击[模型库](https://mmocr.readthedocs.io/zh_CN/dev-1.x/modelzoo.html)查看更多关于上述算法的详细信息。
-
-## 社区项目
-
-[这里](projects/README.md)有一些由社区用户支持和维护的基于 MMOCR 的 SOTA 模型和解决方案的实现。这些项目展示了基于 MMOCR 的研究和产品开发的最佳实践。
-我们欢迎并感谢对 OpenMMLab 生态系统的所有贡献。
-
-## 贡献指南
-
-我们感谢所有的贡献者为改进和提升 MMOCR 所作出的努力。请参考[贡献指南](.github/CONTRIBUTING.md)来了解参与项目贡献的相关指引。
-
-## 致谢
-
-MMOCR 是一款由来自不同高校和企业的研发人员共同参与贡献的开源项目。我们感谢所有为项目提供算法复现和新功能支持的贡献者，以及提供宝贵反馈的用户。 我们希望此工具箱可以帮助大家来复现已有的方法和开发新的方法，从而为研究社区贡献力量。
-
-## 引用
-
-如果您发现此项目对您的研究有用，请考虑引用：
-
-```bibtex
-@article{mmocr2021,
-    title={MMOCR:  A Comprehensive Toolbox for Text Detection, Recognition and Understanding},
-    author={Kuang, Zhanghui and Sun, Hongbin and Li, Zhizhong and Yue, Xiaoyu and Lin, Tsui Hin and Chen, Jianyong and Wei, Huaqiang and Zhu, Yiqin and Gao, Tong and Zhang, Wenwei and Chen, Kai and Zhang, Wayne and Lin, Dahua},
-    journal= {arXiv preprint arXiv:2108.06543},
-    year={2021}
-}
-```
-
-## 开源许可证
-
-该项目采用 [Apache 2.0 license](LICENSE) 开源许可证。
-
-## OpenMMLab 的其他项目
-
-- [MMEngine](https://github.com/open-mmlab/mmengine): OpenMMLab 深度学习模型训练基础库
-- [MMCV](https://github.com/open-mmlab/mmcv): OpenMMLab 计算机视觉基础库
-- [MIM](https://github.com/open-mmlab/mim): MIM 是 OpenMMlab 项目、算法、模型的统一入口
-- [MMClassification](https://github.com/open-mmlab/mmclassification): OpenMMLab 图像分类工具箱
-- [MMDetection](https://github.com/open-mmlab/mmdetection): OpenMMLab 目标检测工具箱
-- [MMDetection3D](https://github.com/open-mmlab/mmdetection3d): OpenMMLab 新一代通用 3D 目标检测平台
-- [MMRotate](https://github.com/open-mmlab/mmrotate): OpenMMLab 旋转框检测工具箱与测试基准
-- [MMSegmentation](https://github.com/open-mmlab/mmsegmentation): OpenMMLab 语义分割工具箱
-- [MMOCR](https://github.com/open-mmlab/mmocr): OpenMMLab 全流程文字检测识别理解工具箱
-- [MMPose](https://github.com/open-mmlab/mmpose): OpenMMLab 姿态估计工具箱
-- [MMHuman3D](https://github.com/open-mmlab/mmhuman3d): OpenMMLab 人体参数化模型工具箱与测试基准
-- [MMSelfSup](https://github.com/open-mmlab/mmselfsup): OpenMMLab 自监督学习工具箱与测试基准
-- [MMRazor](https://github.com/open-mmlab/mmrazor): OpenMMLab 模型压缩工具箱与测试基准
-- [MMFewShot](https://github.com/open-mmlab/mmfewshot): OpenMMLab 少样本学习工具箱与测试基准
-- [MMAction2](https://github.com/open-mmlab/mmaction2): OpenMMLab 新一代视频理解工具箱
-- [MMTracking](https://github.com/open-mmlab/mmtracking): OpenMMLab 一体化视频目标感知平台
-- [MMFlow](https://github.com/open-mmlab/mmflow): OpenMMLab 光流估计工具箱与测试基准
-- [MMEditing](https://github.com/open-mmlab/mmediting): OpenMMLab 图像视频编辑工具箱
-- [MMGeneration](https://github.com/open-mmlab/mmgeneration): OpenMMLab 图片视频生成模型工具箱
-- [MMDeploy](https://github.com/open-mmlab/mmdeploy): OpenMMLab 模型部署框架
-
-## 欢迎加入 OpenMMLab 社区
-
-扫描下方的二维码可关注 OpenMMLab 团队的 [知乎官方账号](https://www.zhihu.com/people/openmmlab)，加入 OpenMMLab 团队的 [官方交流 QQ 群](https://r.vansin.top/?r=join-qq)，或通过添加微信“Open小喵Lab”加入官方交流微信群。
-
-<div align="center">
-<img src="https://raw.githubusercontent.com/open-mmlab/mmcv/master/docs/en/_static/zhihu_qrcode.jpg" height="400" />  <img src="https://cdn.vansin.top/OpenMMLab/q3.png" height="400" />  <img src="https://raw.githubusercontent.com/open-mmlab/mmcv/master/docs/en/_static/wechat_qrcode.jpg" height="400" />
-</div>
-
-我们会在 OpenMMLab 社区为大家
-
-- 📢 分享 AI 框架的前沿核心技术
-- 💻 解读 PyTorch 常用模块源码
-- 📰 发布 OpenMMLab 的相关新闻
-- 🚀 介绍 OpenMMLab 开发的前沿算法
-- 🏃 获取更高效的问题答疑和意见反馈
-- 🔥 提供与各行各业开发者充分交流的平台
-
-干货满满 📘，等你来撩 💗，OpenMMLab 社区期待您的加入 👬

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pipeline/mmocr/dicts/english_digits_symbols.txt

@@ -1,90 +0,0 @@
-0
-1
-2
-3
-4
-5
-6
-7
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-9
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-,
--
-.
-/
-:
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-<
-=
->
-?
-@
-[
-\
-]
-_
-`
-~

pipeline/mmocr/dicts/english_digits_symbols_space.txt

@@ -1,91 +0,0 @@
-0
-1
-2
-3
-4
-5
-6
-7
-8
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-,
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-/
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-[
-\
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-_
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- 

pipeline/mmocr/dicts/korean_english_digits_symbols.txt

@@ -1,1803 +0,0 @@
-0
-1
-2
-3
-4
-5
-6
-7
-8
-9
-!
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-흥
-흩
-희
-흰
-히
-힉
-힌
-힐
-힘
-힙
-곹
-뗌
-쏨
-똠
-챱
-쬬
-햬
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-먄
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-걍
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-끽
-촙
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-슉
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-뽂
-삑
-릐
-웡
-쨔
-잽
-볽
-떢
-꼰
-볏
-잰
-뷜
-셑
-쉡
-쏸
-썅
-쌥
-쎕
-뚤
-뚠
-뼘
-쎼
-긱
-삣
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-텬
-쌰
-뤠
-뤨
-땋
-뷸
-뗄
-됀
-뚬
-쉑
-쩨
-빳
-꺳
-쌔
-떙
-깟
-뒥
-솬
-숩

pipeline/mmocr/dicts/lower_english_digits.txt

@@ -1,36 +0,0 @@
-0
-1
-2
-3
-4
-5
-6
-7
-8
-9
-a
-b
-c
-d
-e
-f
-g
-h
-i
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-k
-l
-m
-n
-o
-p
-q
-r
-s
-t
-u
-v
-w
-x
-y
-z

pipeline/mmocr/dicts/lower_english_digits_space.txt

@@ -1,37 +0,0 @@
-0
-1
-2
-3
-4
-5
-6
-7
-8
-9
-a
-b
-c
-d
-e
-f
-g
-h
-i
-j
-k
-l
-m
-n
-o
-p
-q
-r
-s
-t
-u
-v
-w
-x
-y
-z
- 

pipeline/mmocr/dicts/sdmgr_dict.txt

@@ -1,91 +0,0 @@
-/
-\
-.
-$
-£
-€
-¥
-:
--
-,
-*
-#
-(
-)
-%
-@
-!
-'
-&
-=
->
-+
-"
-×
-?
-<
-[
-]
-_
-0
-1
-2
-3
-4
-5
-6
-7
-8
-9
-a
-b
-c
-d
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-f
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-i
-j
-k
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-s
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-y
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-A
-B
-C
-D
-E
-F
-G
-H
-I
-J
-K
-L
-M
-N
-O
-P
-Q
-R
-S
-T
-U
-V
-W
-X
-Y
-Z

pipeline/mmocr/docker/Dockerfile

@@ -1,24 +0,0 @@
-ARG PYTORCH="1.9.0"
-ARG CUDA="11.1"
-ARG CUDNN="8"
-
-FROM pytorch/pytorch:${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel
-
-# To fix GPG key error when running apt-get update
-RUN apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/3bf863cc.pub
-RUN apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/7fa2af80.pub
-
-RUN apt-get update && apt-get install -y git ninja-build libglib2.0-0 libsm6 libxrender-dev libxext6 libgl1-mesa-glx \
-    && apt-get clean \
-    && rm -rf /var/lib/apt/lists/*
-
-RUN pip install -U openmim
-RUN mim install mmengine
-RUN mim install 'mmcv>=2.0.0rc1'
-RUN pip install 'mmdet>=3.0.0rc0'
-RUN git clone https://github.com/open-mmlab/mmocr.git /mmocr
-WORKDIR /mmocr
-ENV FORCE_CUDA="1"
-RUN pip install -r requirements.txt
-RUN pip install --no-cache-dir -e .
-RUN pip install -r requirements/albu.txt

pipeline/mmocr/docker/serve/Dockerfile

@@ -1,54 +0,0 @@
-ARG PYTORCH="1.6.0"
-ARG CUDA="10.1"
-ARG CUDNN="7"
-FROM pytorch/pytorch:${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel
-RUN rm /etc/apt/sources.list.d/cuda.list
-RUN rm /etc/apt/sources.list.d/nvidia-ml.list
-RUN apt-key del 7fa2af80
-RUN apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/3bf863cc.pub
-RUN apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/7fa2af80.pub
-
-ARG MMCV="1.3.17"
-ARG MMDET="2.25.0"
-
-ENV PYTHONUNBUFFERED TRUE
-
-RUN apt-get update && \
-    DEBIAN_FRONTEND=noninteractive apt-get install --no-install-recommends -y \
-    ca-certificates \
-    g++ \
-    openjdk-11-jre-headless \
-    # MMDet Requirements
-    ffmpeg libsm6 libxext6 git ninja-build libglib2.0-0 libsm6 libxrender-dev libxext6 \
-    && rm -rf /var/lib/apt/lists/*
-
-ENV PATH="/opt/conda/bin:$PATH"
-RUN export FORCE_CUDA=1
-
-# TORCHSEVER
-RUN pip install torchserve torch-model-archiver
-
-# MMLAB
-ARG PYTORCH
-ARG CUDA
-RUN ["/bin/bash", "-c", "pip install mmcv-full==${MMCV} -f https://download.openmmlab.com/mmcv/dist/cu${CUDA//./}/torch${PYTORCH}/index.html"]
-RUN pip install mmdet==${MMDET}
-RUN pip install mmocr
-RUN useradd -m model-server \
-    && mkdir -p /home/model-server/tmp
-
-COPY entrypoint.sh /usr/local/bin/entrypoint.sh
-
-RUN chmod +x /usr/local/bin/entrypoint.sh \
-    && chown -R model-server /home/model-server
-
-COPY config.properties /home/model-server/config.properties
-RUN mkdir /home/model-server/model-store && chown -R model-server /home/model-server/model-store
-
-EXPOSE 8080 8081 8082
-
-USER model-server
-WORKDIR /home/model-server
-ENV TEMP=/home/model-server/tmp
-ENTRYPOINT ["/usr/local/bin/entrypoint.sh"]
-CMD ["serve"]

pipeline/mmocr/docker/serve/config.properties

@@ -1,5 +0,0 @@
-inference_address=http://0.0.0.0:8080
-management_address=http://0.0.0.0:8081
-metrics_address=http://0.0.0.0:8082
-model_store=/home/model-server/model-store
-load_models=all

pipeline/mmocr/docker/serve/entrypoint.sh

@@ -1,12 +0,0 @@
-#!/bin/bash
-set -e
-
-if [[ "$1" = "serve" ]]; then
-    shift 1
-    torchserve --start --ts-config /home/model-server/config.properties
-else
-    eval "$@"
-fi
-
-# prevent docker exit
-tail -f /dev/null

pipeline/mmocr/docs/en/Makefile

@@ -1,20 +0,0 @@
-# Minimal makefile for Sphinx documentation
-#
-
-# You can set these variables from the command line, and also
-# from the environment for the first two.
-SPHINXOPTS    ?=
-SPHINXBUILD   ?= sphinx-build
-SOURCEDIR     = .
-BUILDDIR      = _build
-
-# Put it first so that "make" without argument is like "make help".
-help:
-	@$(SPHINXBUILD) -M help "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O)
-
-.PHONY: help Makefile
-
-# Catch-all target: route all unknown targets to Sphinx using the new
-# "make mode" option.  $(O) is meant as a shortcut for $(SPHINXOPTS).
-%: Makefile
-	@$(SPHINXBUILD) -M $@ "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O)

pipeline/mmocr/docs/en/_static/css/readthedocs.css

@@ -1,6 +0,0 @@
-.header-logo {
-    background-image: url("../images/mmocr.png");
-    background-size: 110px 40px;
-    height: 40px;
-    width: 110px;
-}

pipeline/mmocr/docs/en/_static/js/collapsed.js

@@ -1 +0,0 @@
-var collapsedSections = ['Migration Guides', 'API Reference']

pipeline/mmocr/docs/en/_static/js/table.js

@@ -1,31 +0,0 @@
-$(document).ready(function () {
-    table = $('.model-summary').DataTable({
-        "stateSave": false,
-        "lengthChange": false,
-        "pageLength": 10,
-        "order": [],
-        "scrollX": true,
-        "columnDefs": [
-            { "type": "summary", targets: '_all' },
-        ]
-    });
-    // Override the default sorting for the summary columns, which
-    // never takes the "-" character into account.
-    jQuery.extend(jQuery.fn.dataTableExt.oSort, {
-        "summary-asc": function (str1, str2) {
-            if (str1 == "<p>-</p>")
-                return 1;
-            if (str2 == "<p>-</p>")
-                return -1;
-            return ((str1 < str2) ? -1 : ((str1 > str2) ? 1 : 0));
-        },
-
-        "summary-desc": function (str1, str2) {
-            if (str1 == "<p>-</p>")
-                return 1;
-            if (str2 == "<p>-</p>")
-                return -1;
-            return ((str1 < str2) ? 1 : ((str1 > str2) ? -1 : 0));
-        }
-    });
-})

pipeline/mmocr/docs/en/_templates/classtemplate.rst

@@ -1,14 +0,0 @@
-.. role:: hidden
-    :class: hidden-section
-.. currentmodule:: {{ module }}
-
-
-{{ name | underline}}
-
-.. autoclass:: {{ name }}
-    :members:
-
-
-..
-  autogenerated from source/_templates/classtemplate.rst
-  note it does not have :inherited-members:

pipeline/mmocr/docs/en/api/apis.rst

@@ -1,26 +0,0 @@
-.. role:: hidden
-    :class: hidden-section
-
-mmocr.apis
-===================================
-
-.. contents:: mmocr.apis
-   :depth: 2
-   :local:
-   :backlinks: top
-
-.. currentmodule:: mmocr.apis.inferencers
-
-Inferencers
----------------------------------------------
-
-.. autosummary::
-   :toctree: generated
-   :nosignatures:
-   :template: classtemplate.rst
-
-   MMOCRInferencer
-   TextDetInferencer
-   TextRecInferencer
-   TextSpotInferencer
-   KIEInferencer

pipeline/mmocr/docs/en/api/datasets.rst

@@ -1,57 +0,0 @@
-.. role:: hidden
-    :class: hidden-section
-
-mmocr.datasets
-===================================
-
-.. contents:: mmocr.datasets
-   :depth: 2
-   :local:
-   :backlinks: top
-
-.. currentmodule:: mmocr.datasets.samplers
-
-Samplers
----------------------------------------------
-
-.. autosummary::
-   :toctree: generated
-   :nosignatures:
-   :template: classtemplate.rst
-
-   BatchAugSampler
-
-.. currentmodule:: mmocr.datasets
-
-Datasets
----------------------------------------------
-
-.. autosummary::
-   :toctree: generated
-   :nosignatures:
-   :template: classtemplate.rst
-
-   OCRDataset
-   WildReceiptDataset
-
-Compatible Datasets
----------------------------------------------
-
-.. autosummary::
-   :toctree: generated
-   :nosignatures:
-   :template: classtemplate.rst
-
-   IcdarDataset
-   RecogLMDBDataset
-   RecogTextDataset
-
-Dataset Wrapper
----------------------------------------------
-
-.. autosummary::
-   :toctree: generated
-   :nosignatures:
-   :template: classtemplate.rst
-
-   ConcatDataset

pipeline/mmocr/docs/en/api/engine.rst

@@ -1,22 +0,0 @@
-.. role:: hidden
-    :class: hidden-section
-
-mmocr.engine
-===================================
-
-.. contents:: mmocr.engine
-   :depth: 2
-   :local:
-   :backlinks: top
-
-.. currentmodule:: mmocr.engine.hooks
-
-Hooks
----------------------------------------------
-
-.. autosummary::
-   :toctree: generated
-   :nosignatures:
-   :template: classtemplate.rst
-
-   VisualizationHook

pipeline/mmocr/docs/en/api/evaluation.rst

@@ -1,57 +0,0 @@
-.. role:: hidden
-    :class: hidden-section
-
-mmocr.evaluation
-===================================
-
-.. contents:: mmocr.evaluation
-   :depth: 2
-   :local:
-   :backlinks: top
-
-.. currentmodule:: mmocr.evaluation.evaluator
-
-Evaluator
----------------------------------------------
-
-.. autosummary::
-   :toctree: generated
-   :nosignatures:
-   :template: classtemplate.rst
-
-   MultiDatasetsEvaluator
-
-.. currentmodule:: mmocr.evaluation.metrics
-
-TextDet Metric
----------------------------------------------
-
-.. autosummary::
-   :toctree: generated
-   :nosignatures:
-   :template: classtemplate.rst
-
-   HmeanIOUMetric
-
-TextRecog Metric
----------------------------------------------
-
-.. autosummary::
-   :toctree: generated
-   :nosignatures:
-   :template: classtemplate.rst
-
-   WordMetric
-   CharMetric
-   OneMinusNEDMetric
-
-
-KIE Metric
----------------------------------------------
-
-.. autosummary::
-   :toctree: generated
-   :nosignatures:
-   :template: classtemplate.rst
-
-   F1Metric