ultralytics 8.0.65 YOLOv8 Pose models (#1347)

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ultralytics/yolo/cfg/__init__.py

@@ -18,13 +18,13 @@ TASKS = 'detect', 'segment', 'classify', 'pose'
 TASK2DATA = {
     'detect': 'coco128.yaml',
     'segment': 'coco128-seg.yaml',
-    'pose': 'coco128-pose.yaml',
-    'classify': 'imagenet100'}
+    'classify': 'imagenet100',
+    'pose': 'coco128-pose.yaml'}
 TASK2MODEL = {
     'detect': 'yolov8n.pt',
     'segment': 'yolov8n-seg.pt',
-    'pose': 'yolov8n-pose.yaml',
-    'classify': 'yolov8n-cls.pt'}  # temp
+    'classify': 'yolov8n-cls.pt',
+    'pose': 'yolov8n-pose.yaml'}
 
 CLI_HELP_MSG = \
     f"""

ultralytics/yolo/cfg/default.yaml

@@ -88,6 +88,8 @@ warmup_bias_lr: 0.1  # warmup initial bias lr
 box: 7.5  # box loss gain
 cls: 0.5  # cls loss gain (scale with pixels)
 dfl: 1.5  # dfl loss gain
+pose: 12.0  # pose loss gain
+kobj: 1.0  # keypoint obj loss gain
 fl_gamma: 0.0  # focal loss gamma (efficientDet default gamma=1.5)
 label_smoothing: 0.0  # label smoothing (fraction)
 nbs: 64  # nominal batch size