update configs

projects/yolox-pose/configs/_base_/datasets

@@ -0,0 +1 @@
+../../../../configs/_base_/datasets

projects/yolox-pose/configs/_base_/default_runtime.py

@@ -0,0 +1,41 @@
+default_scope = 'mmyolo'
+custom_imports = dict(imports=['models', 'datasets'])
+
+# hooks
+default_hooks = dict(
+    timer=dict(type='IterTimerHook'),
+    logger=dict(type='LoggerHook', interval=50),
+    param_scheduler=dict(type='ParamSchedulerHook'),
+    checkpoint=dict(type='CheckpointHook', interval=10, max_keep_ckpts=3),
+    sampler_seed=dict(type='DistSamplerSeedHook'),
+    visualization=dict(type='mmpose.PoseVisualizationHook', enable=False),
+)
+
+# multi-processing backend
+env_cfg = dict(
+    cudnn_benchmark=False,
+    mp_cfg=dict(mp_start_method='fork', opencv_num_threads=0),
+    dist_cfg=dict(backend='nccl'),
+)
+
+# visualizer
+vis_backends = [dict(type='LocalVisBackend')]
+visualizer = dict(
+    type='mmpose.PoseLocalVisualizer',
+    vis_backends=vis_backends,
+    name='visualizer')
+
+# logger
+log_processor = dict(
+    type='LogProcessor', window_size=50, by_epoch=True, num_digits=6)
+log_level = 'INFO'
+load_from = None
+resume = False
+
+# file I/O backend
+file_client_args = dict(backend='disk')
+
+# training/validation/testing progress
+train_cfg = dict()
+val_cfg = dict(type='ValLoop')
+test_cfg = dict(type='TestLoop')

projects/yolox-pose/configs/yolox-pose_l_8xb32-300e_coco.py

@@ -0,0 +1,16 @@
+_base_ = ['./yolox-pose_s_8xb32-300e_coco.py']
+
+# model settings
+model = dict(
+    init_cfg=dict(checkpoint='https://download.openmmlab.com/mmyolo/v0/yolox/'
+                  'yolox_l_fast__8xb8-300e_coco/yolox_l_fast_8xb8-300e_'
+                  'coco_20230213_160715-c731eb1c.pth'),
+    backbone=dict(
+        deepen_factor=1.0,
+        widen_factor=1.0,
+    ),
+    neck=dict(
+        deepen_factor=1.0,
+        widen_factor=1.0,
+    ),
+    bbox_head=dict(head_module=dict(widen_factor=1.0)))

projects/yolox-pose/configs/yolox-pose_m_8xb32-300e_coco.py

@@ -0,0 +1,16 @@
+_base_ = ['./yolox-pose_s_8xb32-300e_coco.py']
+
+# model settings
+model = dict(
+    init_cfg=dict(checkpoint='https://download.openmmlab.com/mmyolo/v0/yolox/'
+                  'yolox_m_fast_8xb32-300e-rtmdet-hyp_coco/yolox_m_fast_8xb32'
+                  '-300e-rtmdet-hyp_coco_20230210_144328-e657e182.pth'),
+    backbone=dict(
+        deepen_factor=0.33,
+        widen_factor=0.5,
+    ),
+    neck=dict(
+        deepen_factor=0.33,
+        widen_factor=0.5,
+    ),
+    bbox_head=dict(head_module=dict(widen_factor=0.5)))