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ultralytics 8.0.43 optimized Results class and fixes (#1069)

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Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Alexander Duda <Alexander.Duda@me.com>
Co-authored-by: Laughing <61612323+Laughing-q@users.noreply.github.com>
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Glenn Jocher 2023-02-21 20:37:59 +01:00 • committed by GitHub
parent f2a7a29e53
commit fe61018975
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22 changed files with 180 additions and 102 deletions
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15
.github/workflows/ci.yaml vendored
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@ -18,7 +18,7 @@ jobs:
fail-fast: false
matrix:
os: [ubuntu-latest]
python-version: ['3.10'] # requires python<=3.9
python-version: ['3.10']
model: [yolov8n]
steps:
- uses: actions/checkout@v3
@ -51,17 +51,17 @@ jobs:
shell: python
run: |
from ultralytics.yolo.utils.benchmarks import run_benchmarks
run_benchmarks(model='yolov8n.pt', imgsz=160, half=False, hard_fail=False)
run_benchmarks(model='${{ matrix.model }}.pt', imgsz=160, half=False, hard_fail=False)
- name: Benchmark SegmentationModel
shell: python
run: |
from ultralytics.yolo.utils.benchmarks import run_benchmarks
run_benchmarks(model='yolov8n-seg.pt', imgsz=160, half=False, hard_fail=False)
run_benchmarks(model='${{ matrix.model }}-seg.pt', imgsz=160, half=False, hard_fail=False)
- name: Benchmark ClassificationModel
shell: python
run: |
from ultralytics.yolo.utils.benchmarks import run_benchmarks
run_benchmarks(model='yolov8n-cls.pt', imgsz=160, half=False, hard_fail=False)
run_benchmarks(model='${{ matrix.model }}-cls.pt', imgsz=160, half=False, hard_fail=False)
Tests:
timeout-minutes: 60
@ -70,13 +70,10 @@ jobs:
fail-fast: false
matrix:
os: [ubuntu-latest]
python-version: ['3.10']
python-version: ['3.7', '3.8', '3.9', '3.10']
model: [yolov8n]
torch: [latest]
include:
- os: ubuntu-latest
python-version: '3.7' # '3.6.8' min
model: yolov8n
- os: ubuntu-latest
python-version: '3.8' # torch 1.7.0 requires python >=3.6, <=3.8
model: yolov8n
@ -123,9 +120,7 @@ jobs:
run: |
import os
import ultralytics
from ultralytics import hub, yolo
key = os.environ['APIKEY']
print(ultralytics.__version__)
ultralytics.checks()
# ultralytics.reset_model(key) # reset trained model
# ultralytics.start(key) # train model