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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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9
ultralytics/yolo/engine/model.py
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@ -5,8 +5,8 @@ from pathlib import Path
from typing import Union
from ultralytics import yolo # noqa
from ultralytics.nn.tasks import (ClassificationModel, DetectionModel, SegmentationModel, attempt_load_one_weight,
guess_model_task, nn, yaml_model_load)
from ultralytics.nn.tasks import (ClassificationModel, DetectionModel, PoseModel, SegmentationModel,
attempt_load_one_weight, guess_model_task, nn, yaml_model_load)
from ultralytics.yolo.cfg import get_cfg
from ultralytics.yolo.engine.exporter import Exporter
from ultralytics.yolo.utils import (DEFAULT_CFG, DEFAULT_CFG_DICT, DEFAULT_CFG_KEYS, LOGGER, RANK, ROOT, callbacks,
@ -25,7 +25,8 @@ TASK_MAP = {
yolo.v8.detect.DetectionPredictor],
'segment': [
SegmentationModel, yolo.v8.segment.SegmentationTrainer, yolo.v8.segment.SegmentationValidator,
yolo.v8.segment.SegmentationPredictor]}
yolo.v8.segment.SegmentationPredictor],
'pose': [PoseModel, yolo.v8.pose.PoseTrainer, yolo.v8.pose.PoseValidator, yolo.v8.pose.PosePredictor]}
class YOLO:
@ -195,7 +196,7 @@ class YOLO:
self.model.load(weights)
return self
def info(self, verbose=False):
def info(self, verbose=True):
"""
Logs model info.