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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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6
ultralytics/yolo/utils/benchmarks.py
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@ -75,11 +75,13 @@ def benchmark(model=Path(SETTINGS['weights_dir']) / 'yolov8n.pt', imgsz=160, hal
# Validate
if model.task == 'detect':
data, key = 'coco128.yaml', 'metrics/mAP50-95(B)'
data, key = 'coco8.yaml', 'metrics/mAP50-95(B)'
elif model.task == 'segment':
data, key = 'coco128-seg.yaml', 'metrics/mAP50-95(M)'
data, key = 'coco8-seg.yaml', 'metrics/mAP50-95(M)'
elif model.task == 'classify':
data, key = 'imagenet100', 'metrics/accuracy_top5'
elif model.task == 'pose':
data, key = 'coco8-pose.yaml', 'metrics/mAP50-95(P)'
results = export.val(data=data, batch=1, imgsz=imgsz, plots=False, device=device, half=half, verbose=False)
metric, speed = results.results_dict[key], results.speed['inference']