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Nomeroff Net CI CPU Testing

Nomeroff Net CI CPU Testing #1175

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Nomeroff Net CI CPU Testing

Nomeroff Net CI CPU Testing #1175

Workflow file for this run

.github/workflows/nn-ci-cpu-testing.yml at e03d093
# This workflow will install Python dependencies, run tests and lint with a single version of Python
# For more information see: https://help.github.com/actions/language-and-framework-guides/using-python-with-github-actions
name: Nomeroff Net CI CPU Testing
on:
pull_request:
branches: [ master, v3.0, v3.1 ]
paths:
- 'nomeroff_net/**'
- 'examples/ju/dataset_convertors/**'
- 'examples/ju/dataset_tools/**'
- 'examples/ju/inference/**'
- 'examples/ju/train/**'
- 'examples/py/inference/**'
- 'examples/py/rest_examples/**'
schedule:
- cron: '10 0 * * *' # Runs at 00:10 UTC every day
jobs:
cpu-tests:
runs-on: ${{ matrix.os }}
strategy:
fail-fast: false
matrix:
os: [ ubuntu-18.04 ]
python-version: [ 3.7, 3.8, 3.9 ]
# Timeout: https://stackoverflow.com/a/59076067/4521646
timeout-minutes: 120
steps:
- uses: actions/checkout@v2
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v2
with:
python-version: ${{ matrix.python-version }}
# Note: This uses an internal pip API and may not always work
# https://github.com/actions/cache/blob/master/examples.md#multiple-oss-in-a-workflow
- name: Get pip cache
id: pip-cache
run: |
python -c "from pip._internal.locations import USER_CACHE_DIR; print('::set-output name=dir::' + USER_CACHE_DIR)"
- name: Cache pip
uses: actions/[email protected]
with:
path: ${{ steps.pip-cache.outputs.dir }}
key: ${{ runner.os }}-${{ matrix.python-version }}-pip-${{ hashFiles('requirements.txt') }}
restore-keys: |
${{ runner.os }}-${{ matrix.python-version }}-pip-
- name: Install dependencies
run: |
sudo apt-get install libturbojpeg
python -m pip install --upgrade pip
pip install -qr requirements.txt -f https://download.pytorch.org/whl/cpu/torch_stable.html
# extras
pip install setuptools wheel pytest jupyter
# fix AttributeError: module 'jinja2' has no attribute 'Markup'
pip install mkdocs==1.2.4
pip install jinja2==3.1
python --version
pip --version
pip list
shell: bash
- name: Tests workflow
run: |
# test train examples ocr
jupyter nbconvert --ExecutePreprocessor.timeout=6000 --execute --to html examples/ju/train/ocr/by.ipynb
jupyter nbconvert --ExecutePreprocessor.timeout=6000 --execute --to html examples/ju/train/ocr/eu.ipynb
jupyter nbconvert --ExecutePreprocessor.timeout=6000 --execute --to html examples/ju/train/ocr/ge.ipynb
jupyter nbconvert --ExecutePreprocessor.timeout=6000 --execute --to html examples/ju/train/ocr/kg.ipynb
jupyter nbconvert --ExecutePreprocessor.timeout=6000 --execute --to html examples/ju/train/ocr/kz.ipynb
jupyter nbconvert --ExecutePreprocessor.timeout=6000 --execute --to html examples/ju/train/ocr/ua.ipynb
jupyter nbconvert --ExecutePreprocessor.timeout=6000 --execute --to html examples/ju/train/ocr/ua-1995.ipynb
jupyter nbconvert --ExecutePreprocessor.timeout=6000 --execute --to html examples/ju/train/ocr/su.ipynb
jupyter nbconvert --ExecutePreprocessor.timeout=6000 --execute --to html examples/ju/train/ocr/ru.ipynb
# test train examples classification
#jupyter nbconvert --ExecutePreprocessor.timeout=6000 --execute --to html examples/ju/train/classification/options-base-count_lines-train.ipynb
jupyter nbconvert --ExecutePreprocessor.timeout=6000 --execute --to html examples/ju/train/classification/options-base-train.ipynb
jupyter nbconvert --ExecutePreprocessor.timeout=6000 --execute --to html examples/ju/train/classification/options-custom-train.ipynb
jupyter nbconvert --ExecutePreprocessor.timeout=6000 --execute --to html examples/ju/train/classification/options-train.ipynb
# test train examples object detection
jupyter nbconvert --ExecutePreprocessor.timeout=6000 --execute --to html examples/ju/train/object_detection/yolov5-train.ipynb
# test python inference examples
python examples/py/inference/get-started-demo.py
python examples/py/inference/get-started-tiny-demo.py
python examples/py/inference/number-plate-filling-demo.py
python examples/py/inference/number-plate-recognition-multiline-demo.py
# test jupyter inference examples
jupyter nbconvert --ExecutePreprocessor.timeout=6000 --execute --to html examples/ju/inference/custom-options-model-demo.ipynb
jupyter nbconvert --ExecutePreprocessor.timeout=6000 --execute --to html examples/ju/inference/get-started-demo.ipynb
jupyter nbconvert --ExecutePreprocessor.timeout=6000 --execute --to html examples/ju/inference/get-started-tiny-demo.ipynb
jupyter nbconvert --ExecutePreprocessor.timeout=6000 --execute --to html examples/ju/inference/number-plate-bbox-filling.ipynb
jupyter nbconvert --ExecutePreprocessor.timeout=6000 --execute --to html examples/ju/inference/number-plate-keypoints-filling.ipynb
jupyter nbconvert --ExecutePreprocessor.timeout=6000 --execute --to html examples/ju/inference/number-plate-recognition-multiline-demo.ipynb
jupyter nbconvert --ExecutePreprocessor.timeout=6000 --execute --to html examples/ju/inference/get-started-demo-ocr-custom.ipynb
# test python benchmarks examples
python examples/py/benchmark/accuracy-test.py
python examples/py/benchmark/runtime-test.py
# test jupyter benchmarks examples
jupyter nbconvert --ExecutePreprocessor.timeout=6000 --execute --to html examples/ju/benchmark/accuracy-test.ipynb
jupyter nbconvert --ExecutePreprocessor.timeout=6000 --execute --to html examples/ju/benchmark/accuracy-test-custom.ipynb
jupyter nbconvert --ExecutePreprocessor.timeout=6000 --execute --to html examples/ju/benchmark/accuracy-test-multiline.ipynb
jupyter nbconvert --ExecutePreprocessor.timeout=6000 --execute --to html examples/ju/benchmark/runtime-test.ipynb
jupyter nbconvert --ExecutePreprocessor.timeout=6000 --execute --to html examples/ju/benchmark/runtime-test-multiline.ipynb
# test jupyter dataset tools examples
jupyter nbconvert --ExecutePreprocessor.timeout=6000 --execute --to html examples/ju/dataset_tools/analyze_via_dataset.ipynb
jupyter nbconvert --ExecutePreprocessor.timeout=6000 --execute --to html examples/ju/dataset_tools/auto_number_grab.ipynb
jupyter nbconvert --ExecutePreprocessor.timeout=6000 --execute --to html examples/ju/dataset_tools/check_ocr_model.ipynb
jupyter nbconvert --ExecutePreprocessor.timeout=6000 --execute --to html examples/ju/dataset_tools/option_checker.ipynb
jupyter nbconvert --ExecutePreprocessor.timeout=6000 --execute --to html examples/ju/dataset_tools/ocr_dataset_format_checker.ipynb
# test image loaders
python3 nomeroff_net/image_loaders/base.py
python3 -m nomeroff_net.image_loaders.dumpy_loader -f nomeroff_net/image_loaders/dumpy_loader.py
python3 -m nomeroff_net.image_loaders.opencv_loader -f nomeroff_net/image_loaders/opencv_loader.py
python3 -m nomeroff_net.image_loaders.pillow_loader -f nomeroff_net/image_loaders/pillow_loader.py
python3 -m nomeroff_net.image_loaders.turbo_loader -f nomeroff_net/image_loaders/turbo_loader.py
# test nnmodels
python3 -m nomeroff_net.nnmodels.numberplate_classification_model -f nomeroff_net/nnmodels/numberplate_classification_model.py
python3 -m nomeroff_net.nnmodels.numberplate_options_model -f nomeroff_net/nnmodels/numberplate_options_model.py
python3 -m nomeroff_net.nnmodels.fraud_numberpate_model -f nomeroff_net/nnmodels/fraud_numberpate_options.py
python3 -m nomeroff_net.nnmodels.numberplate_inverse_model -f nomeroff_net/nnmodels/numberplate_inverse_model.py
python3 -m nomeroff_net.nnmodels.numberplate_orientation_model -f nomeroff_net/nnmodels/numberplate_orientation_model.py
python3 -m nomeroff_net.nnmodels.ocr_model -f nomeroff_net/nnmodels/ocr_model.py
# test tools
python3 nomeroff_net/tools/test_tools.py
shell: bash