ultralytics 8.0.65 YOLOv8 Pose models (#1347)

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Ayush Chaurasia 2023-04-06 03:55:32 +05:30 committed by GitHub
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commit 1cb92d7f42
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57 changed files with 1578 additions and 489 deletions

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@ -43,21 +43,7 @@ jobs:
python --version
pip --version
pip list
- name: Test HUB training (Python Usage 1)
shell: python
env:
APIKEY: ${{ secrets.ULTRALYTICS_HUB_APIKEY }}
run: |
import os
from pathlib import Path
from ultralytics import YOLO, hub
from ultralytics.yolo.utils import USER_CONFIG_DIR
Path(USER_CONFIG_DIR / 'settings.yaml').unlink()
key = os.environ['APIKEY']
hub.reset_model(key)
model = YOLO('https://hub.ultralytics.com/models/' + key)
model.train()
- name: Test HUB training (Python Usage 2)
- name: Test HUB training
shell: python
env:
APIKEY: ${{ secrets.ULTRALYTICS_HUB_APIKEY }}
@ -73,36 +59,6 @@ jobs:
hub.login(key)
model = YOLO('https://hub.ultralytics.com/models/' + model_id)
model.train()
- name: Test HUB training (Python Usage 3)
shell: python
env:
APIKEY: ${{ secrets.ULTRALYTICS_HUB_APIKEY }}
run: |
import os
from pathlib import Path
from ultralytics import YOLO, hub
from ultralytics.yolo.utils import USER_CONFIG_DIR
Path(USER_CONFIG_DIR / 'settings.yaml').unlink()
key = os.environ['APIKEY']
hub.reset_model(key)
model = YOLO(key)
model.train()
- name: Test HUB training (Python Usage 4)
shell: python
env:
APIKEY: ${{ secrets.ULTRALYTICS_HUB_APIKEY }}
run: |
import os
from pathlib import Path
from ultralytics import YOLO, hub
from ultralytics.yolo.utils import USER_CONFIG_DIR
Path(USER_CONFIG_DIR / 'settings.yaml').unlink()
key = os.environ['APIKEY']
hub.reset_model(key)
key, model_id = key.split('_')
hub.login(key)
model = YOLO(model_id)
model.train()
Benchmarks:
runs-on: ${{ matrix.os }}
@ -154,6 +110,11 @@ jobs:
run: |
from ultralytics.yolo.utils.benchmarks import benchmark
benchmark(model='${{ matrix.model }}-cls.pt', imgsz=160, half=False, hard_fail=0.61)
- name: Benchmark PoseModel
shell: python
run: |
from ultralytics.yolo.utils.benchmarks import benchmark
benchmark(model='${{ matrix.model }}-pose.pt', imgsz=160, half=False, hard_fail=0.0)
- name: Benchmark Summary
run: |
cat benchmarks.log
@ -200,30 +161,38 @@ jobs:
python --version
pip --version
pip list
- name: Test detection
- name: Test Detect
shell: bash # for Windows compatibility
run: |
yolo task=detect mode=train data=coco8.yaml model=yolov8n.yaml epochs=1 imgsz=32
yolo task=detect mode=train data=coco8.yaml model=yolov8n.pt epochs=1 imgsz=32
yolo task=detect mode=val data=coco8.yaml model=runs/detect/train/weights/last.pt imgsz=32
yolo task=detect mode=predict model=runs/detect/train/weights/last.pt imgsz=32 source=ultralytics/assets/bus.jpg
yolo mode=export model=runs/detect/train/weights/last.pt imgsz=32 format=torchscript
- name: Test segmentation
yolo detect train data=coco8.yaml model=yolov8n.yaml epochs=1 imgsz=32
yolo detect train data=coco8.yaml model=yolov8n.pt epochs=1 imgsz=32
yolo detect val data=coco8.yaml model=runs/detect/train/weights/last.pt imgsz=32
yolo detect predict model=runs/detect/train/weights/last.pt imgsz=32 source=ultralytics/assets/bus.jpg
yolo export model=runs/detect/train/weights/last.pt imgsz=32 format=torchscript
- name: Test Segment
shell: bash # for Windows compatibility
run: |
yolo task=segment mode=train data=coco8-seg.yaml model=yolov8n-seg.yaml epochs=1 imgsz=32
yolo task=segment mode=train data=coco8-seg.yaml model=yolov8n-seg.pt epochs=1 imgsz=32
yolo task=segment mode=val data=coco8-seg.yaml model=runs/segment/train/weights/last.pt imgsz=32
yolo task=segment mode=predict model=runs/segment/train/weights/last.pt imgsz=32 source=ultralytics/assets/bus.jpg
yolo mode=export model=runs/segment/train/weights/last.pt imgsz=32 format=torchscript
- name: Test classification
yolo segment train data=coco8-seg.yaml model=yolov8n-seg.yaml epochs=1 imgsz=32
yolo segment train data=coco8-seg.yaml model=yolov8n-seg.pt epochs=1 imgsz=32
yolo segment val data=coco8-seg.yaml model=runs/segment/train/weights/last.pt imgsz=32
yolo segment predict model=runs/segment/train/weights/last.pt imgsz=32 source=ultralytics/assets/bus.jpg
yolo export model=runs/segment/train/weights/last.pt imgsz=32 format=torchscript
- name: Test Classify
shell: bash # for Windows compatibility
run: |
yolo task=classify mode=train data=imagenet10 model=yolov8n-cls.yaml epochs=1 imgsz=32
yolo task=classify mode=train data=imagenet10 model=yolov8n-cls.pt epochs=1 imgsz=32
yolo task=classify mode=val data=imagenet10 model=runs/classify/train/weights/last.pt imgsz=32
yolo task=classify mode=predict model=runs/classify/train/weights/last.pt imgsz=32 source=ultralytics/assets/bus.jpg
yolo mode=export model=runs/classify/train/weights/last.pt imgsz=32 format=torchscript
yolo classify train data=imagenet10 model=yolov8n-cls.yaml epochs=1 imgsz=32
yolo classify train data=imagenet10 model=yolov8n-cls.pt epochs=1 imgsz=32
yolo classify val data=imagenet10 model=runs/classify/train/weights/last.pt imgsz=32
yolo classify predict model=runs/classify/train/weights/last.pt imgsz=32 source=ultralytics/assets/bus.jpg
yolo export model=runs/classify/train/weights/last.pt imgsz=32 format=torchscript
- name: Test Pose
shell: bash # for Windows compatibility
run: |
yolo pose train data=coco8-pose.yaml model=yolov8n-pose.yaml epochs=1 imgsz=32
yolo pose train data=coco8-pose.yaml model=yolov8n-pose.pt epochs=1 imgsz=32
yolo pose val data=coco8-pose.yaml model=runs/pose/train/weights/last.pt imgsz=32
yolo pose predict model=runs/pose/train/weights/last.pt imgsz=32 source=ultralytics/assets/bus.jpg
yolo export model=runs/pose/train/weights/last.pt imgsz=32 format=torchscript
- name: Pytest tests
shell: bash # for Windows compatibility
run: pytest tests