File size: 2,812 Bytes
94b2bb6 5414e53 94b2bb6 a0fa5f5 94b2bb6 07a82f4 ddb0ec3 07a82f4 94b2bb6 5c73caa 94b2bb6 5414e53 94b2bb6 5414e53 94b2bb6 5414e53 94b2bb6 5414e53 94b2bb6 5414e53 b8f3b1b 7d8e2dd 5414e53 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 |
name: CI CPU testing
on: # https://help.github.com/en/actions/reference/events-that-trigger-workflows
push:
pull_request:
schedule:
- cron: "0 0 * * *"
jobs:
cpu-tests:
runs-on: ${{ matrix.os }}
strategy:
fail-fast: false
matrix:
os: [ubuntu-latest, macos-latest, windows-latest]
python-version: [3.8]
model: ['yolov5s'] # models to test
# Timeout: https://stackoverflow.com/a/59076067/4521646
timeout-minutes: 50
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/cache@v1
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: |
python -m pip install --upgrade pip
pip install -qr requirements.txt -f https://download.pytorch.org/whl/cpu/torch_stable.html
pip install -q onnx
python --version
pip --version
pip list
shell: bash
- name: Download data
run: |
curl -L -o temp.zip https://github.com/ultralytics/yolov5/releases/download/v1.0/coco128.zip
unzip -q temp.zip -d ../
rm temp.zip
- name: Tests workflow
run: |
export PYTHONPATH="$PWD" # to run *.py. files in subdirectories
di=cpu # inference devices # define device
# train
python train.py --img 256 --batch 8 --weights weights/${{ matrix.model }}.pt --cfg models/${{ matrix.model }}.yaml --epochs 1 --device $di
# detect
python detect.py --weights weights/${{ matrix.model }}.pt --device $di
python detect.py --weights runs/exp0/weights/last.pt --device $di
# test
python test.py --img 256 --batch 8 --weights weights/${{ matrix.model }}.pt --device $di
python test.py --img 256 --batch 8 --weights runs/exp0/weights/last.pt --device $di
python models/yolo.py --cfg models/${{ matrix.model }}.yaml # inspect
python models/export.py --img 256 --batch 1 --weights weights/${{ matrix.model }}.pt # export
shell: bash
|