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Update TASK2DATA defaults to COCO8 (#3603)

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Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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Glenn Jocher 2023-07-08 19:48:32 +02:00 committed by GitHub
parent ff90081102
commit e97958ef6f
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2 changed files with 4 additions and 8 deletions
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6
.github/workflows/ci.yaml vendored
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@ -112,17 +112,17 @@ jobs:
shell: python shell: python
run: | run: |
from ultralytics.yolo.utils.benchmarks import benchmark from ultralytics.yolo.utils.benchmarks import benchmark
benchmark(model='${{ matrix.model }}.pt', imgsz=160, half=False, hard_fail=0.20) benchmark(model='${{ matrix.model }}.pt', imgsz=160, half=False, hard_fail=0.26)
- name: Benchmark SegmentationModel - name: Benchmark SegmentationModel
shell: python shell: python
run: | run: |
from ultralytics.yolo.utils.benchmarks import benchmark from ultralytics.yolo.utils.benchmarks import benchmark
benchmark(model='${{ matrix.model }}-seg.pt', imgsz=160, half=False, hard_fail=0.14) benchmark(model='${{ matrix.model }}-seg.pt', imgsz=160, half=False, hard_fail=0.30)
- name: Benchmark ClassificationModel - name: Benchmark ClassificationModel
shell: python shell: python
run: | run: |
from ultralytics.yolo.utils.benchmarks import benchmark from ultralytics.yolo.utils.benchmarks import benchmark
benchmark(model='${{ matrix.model }}-cls.pt', imgsz=160, half=False, hard_fail=0.35) benchmark(model='${{ matrix.model }}-cls.pt', imgsz=160, half=False, hard_fail=0.36)
- name: Benchmark PoseModel - name: Benchmark PoseModel
shell: python shell: python
run: | run: |

6
ultralytics/yolo/cfg/__init__.py
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@ -16,11 +16,7 @@ from ultralytics.yolo.utils import (DEFAULT_CFG, DEFAULT_CFG_DICT, DEFAULT_CFG_P
# Define valid tasks and modes # Define valid tasks and modes
MODES = 'train', 'val', 'predict', 'export', 'track', 'benchmark' MODES = 'train', 'val', 'predict', 'export', 'track', 'benchmark'
TASKS = 'detect', 'segment', 'classify', 'pose' TASKS = 'detect', 'segment', 'classify', 'pose'
TASK2DATA = { TASK2DATA = {'detect': 'coco8.yaml', 'segment': 'coco8-seg.yaml', 'classify': 'imagenet100', 'pose': 'coco8-pose.yaml'}
'detect': 'coco128.yaml',
'segment': 'coco128-seg.yaml',
'classify': 'imagenet100',
'pose': 'coco8-pose.yaml'}
TASK2MODEL = { TASK2MODEL = {
'detect': 'yolov8n.pt', 'detect': 'yolov8n.pt',
'segment': 'yolov8n-seg.pt', 'segment': 'yolov8n-seg.pt',