auto_scale_lr = dict(base_batch_size=256)
backend_args = dict(backend='local')
codec = dict(
    heatmap_size=(
        64,
        64,
    ),
    input_size=(
        256,
        256,
    ),
    sigma=2,
    type='MSRAHeatmap',
    unbiased=True)
custom_hooks = [
    dict(type='SyncBuffersHook'),
]
data_mode = 'topdown'
data_root = 'A:\\NonEnclosureProjects\\inprep\\PrimateFace\\data\\annos_from_rex'
dataset_info = dict(
    dataset_name='coco_wholebody_face',
    joint_weights=[
        1.0,
        1.0,
        1.0,
        1.0,
        1.0,
        1.0,
        1.0,
        1.0,
        1.0,
        1.0,
        1.0,
        1.0,
        1.0,
        1.0,
        1.0,
        1.0,
        1.0,
        1.0,
        1.0,
        1.0,
        1.0,
        1.0,
        1.0,
        1.0,
        1.0,
        1.0,
        1.0,
        1.0,
        1.0,
        1.0,
        1.0,
        1.0,
        1.0,
        1.0,
        1.0,
        1.0,
        1.0,
        1.0,
        1.0,
        1.0,
        1.0,
        1.0,
        1.0,
        1.0,
        1.0,
        1.0,
        1.0,
        1.0,
        1.0,
        1.0,
        1.0,
        1.0,
        1.0,
        1.0,
        1.0,
        1.0,
        1.0,
        1.0,
        1.0,
        1.0,
        1.0,
        1.0,
        1.0,
        1.0,
        1.0,
        1.0,
        1.0,
        1.0,
    ],
    keypoint_info=dict({
        0:
        dict(
            color=[
                255,
                0,
                0,
            ], id=0, name='face-0', swap='face-16', type=''),
        1:
        dict(
            color=[
                255,
                0,
                0,
            ], id=1, name='face-1', swap='face-15', type=''),
        10:
        dict(
            color=[
                255,
                0,
                0,
            ], id=10, name='face-10', swap='face-6', type=''),
        11:
        dict(
            color=[
                255,
                0,
                0,
            ], id=11, name='face-11', swap='face-5', type=''),
        12:
        dict(
            color=[
                255,
                0,
                0,
            ], id=12, name='face-12', swap='face-4', type=''),
        13:
        dict(
            color=[
                255,
                0,
                0,
            ], id=13, name='face-13', swap='face-3', type=''),
        14:
        dict(
            color=[
                255,
                0,
                0,
            ], id=14, name='face-14', swap='face-2', type=''),
        15:
        dict(
            color=[
                255,
                0,
                0,
            ], id=15, name='face-15', swap='face-1', type=''),
        16:
        dict(
            color=[
                255,
                0,
                0,
            ], id=16, name='face-16', swap='face-0', type=''),
        17:
        dict(
            color=[
                255,
                0,
                0,
            ],
            id=17,
            name='face-17',
            swap='face-26',
            type=''),
        18:
        dict(
            color=[
                255,
                0,
                0,
            ],
            id=18,
            name='face-18',
            swap='face-25',
            type=''),
        19:
        dict(
            color=[
                255,
                0,
                0,
            ],
            id=19,
            name='face-19',
            swap='face-24',
            type=''),
        2:
        dict(
            color=[
                255,
                0,
                0,
            ], id=2, name='face-2', swap='face-14', type=''),
        20:
        dict(
            color=[
                255,
                0,
                0,
            ],
            id=20,
            name='face-20',
            swap='face-23',
            type=''),
        21:
        dict(
            color=[
                255,
                0,
                0,
            ],
            id=21,
            name='face-21',
            swap='face-22',
            type=''),
        22:
        dict(
            color=[
                255,
                0,
                0,
            ],
            id=22,
            name='face-22',
            swap='face-21',
            type=''),
        23:
        dict(
            color=[
                255,
                0,
                0,
            ],
            id=23,
            name='face-23',
            swap='face-20',
            type=''),
        24:
        dict(
            color=[
                255,
                0,
                0,
            ],
            id=24,
            name='face-24',
            swap='face-19',
            type=''),
        25:
        dict(
            color=[
                255,
                0,
                0,
            ],
            id=25,
            name='face-25',
            swap='face-18',
            type=''),
        26:
        dict(
            color=[
                255,
                0,
                0,
            ],
            id=26,
            name='face-26',
            swap='face-17',
            type=''),
        27:
        dict(color=[
            255,
            0,
            0,
        ], id=27, name='face-27', swap='', type=''),
        28:
        dict(color=[
            255,
            0,
            0,
        ], id=28, name='face-28', swap='', type=''),
        29:
        dict(color=[
            255,
            0,
            0,
        ], id=29, name='face-29', swap='', type=''),
        3:
        dict(
            color=[
                255,
                0,
                0,
            ], id=3, name='face-3', swap='face-13', type=''),
        30:
        dict(color=[
            255,
            0,
            0,
        ], id=30, name='face-30', swap='', type=''),
        31:
        dict(
            color=[
                255,
                0,
                0,
            ],
            id=31,
            name='face-31',
            swap='face-35',
            type=''),
        32:
        dict(
            color=[
                255,
                0,
                0,
            ],
            id=32,
            name='face-32',
            swap='face-34',
            type=''),
        33:
        dict(color=[
            255,
            0,
            0,
        ], id=33, name='face-33', swap='', type=''),
        34:
        dict(
            color=[
                255,
                0,
                0,
            ],
            id=34,
            name='face-34',
            swap='face-32',
            type=''),
        35:
        dict(
            color=[
                255,
                0,
                0,
            ],
            id=35,
            name='face-35',
            swap='face-31',
            type=''),
        36:
        dict(
            color=[
                255,
                0,
                0,
            ],
            id=36,
            name='face-36',
            swap='face-45',
            type=''),
        37:
        dict(
            color=[
                255,
                0,
                0,
            ],
            id=37,
            name='face-37',
            swap='face-44',
            type=''),
        38:
        dict(
            color=[
                255,
                0,
                0,
            ],
            id=38,
            name='face-38',
            swap='face-43',
            type=''),
        39:
        dict(
            color=[
                255,
                0,
                0,
            ],
            id=39,
            name='face-39',
            swap='face-42',
            type=''),
        4:
        dict(
            color=[
                255,
                0,
                0,
            ], id=4, name='face-4', swap='face-12', type=''),
        40:
        dict(
            color=[
                255,
                0,
                0,
            ],
            id=40,
            name='face-40',
            swap='face-47',
            type=''),
        41:
        dict(
            color=[
                255,
                0,
                0,
            ],
            id=41,
            name='face-41',
            swap='face-46',
            type=''),
        42:
        dict(
            color=[
                255,
                0,
                0,
            ],
            id=42,
            name='face-42',
            swap='face-39',
            type=''),
        43:
        dict(
            color=[
                255,
                0,
                0,
            ],
            id=43,
            name='face-43',
            swap='face-38',
            type=''),
        44:
        dict(
            color=[
                255,
                0,
                0,
            ],
            id=44,
            name='face-44',
            swap='face-37',
            type=''),
        45:
        dict(
            color=[
                255,
                0,
                0,
            ],
            id=45,
            name='face-45',
            swap='face-36',
            type=''),
        46:
        dict(
            color=[
                255,
                0,
                0,
            ],
            id=46,
            name='face-46',
            swap='face-41',
            type=''),
        47:
        dict(
            color=[
                255,
                0,
                0,
            ],
            id=47,
            name='face-47',
            swap='face-40',
            type=''),
        48:
        dict(
            color=[
                255,
                0,
                0,
            ],
            id=48,
            name='face-48',
            swap='face-54',
            type=''),
        49:
        dict(
            color=[
                255,
                0,
                0,
            ],
            id=49,
            name='face-49',
            swap='face-53',
            type=''),
        5:
        dict(
            color=[
                255,
                0,
                0,
            ], id=5, name='face-5', swap='face-11', type=''),
        50:
        dict(
            color=[
                255,
                0,
                0,
            ],
            id=50,
            name='face-50',
            swap='face-52',
            type=''),
        51:
        dict(color=[
            255,
            0,
            0,
        ], id=52, name='face-51', swap='', type=''),
        52:
        dict(
            color=[
                255,
                0,
                0,
            ],
            id=52,
            name='face-52',
            swap='face-50',
            type=''),
        53:
        dict(
            color=[
                255,
                0,
                0,
            ],
            id=53,
            name='face-53',
            swap='face-49',
            type=''),
        54:
        dict(
            color=[
                255,
                0,
                0,
            ],
            id=54,
            name='face-54',
            swap='face-48',
            type=''),
        55:
        dict(
            color=[
                255,
                0,
                0,
            ],
            id=55,
            name='face-55',
            swap='face-59',
            type=''),
        56:
        dict(
            color=[
                255,
                0,
                0,
            ],
            id=56,
            name='face-56',
            swap='face-58',
            type=''),
        57:
        dict(color=[
            255,
            0,
            0,
        ], id=57, name='face-57', swap='', type=''),
        58:
        dict(
            color=[
                255,
                0,
                0,
            ],
            id=58,
            name='face-58',
            swap='face-56',
            type=''),
        59:
        dict(
            color=[
                255,
                0,
                0,
            ],
            id=59,
            name='face-59',
            swap='face-55',
            type=''),
        6:
        dict(
            color=[
                255,
                0,
                0,
            ], id=6, name='face-6', swap='face-10', type=''),
        60:
        dict(
            color=[
                255,
                0,
                0,
            ],
            id=60,
            name='face-60',
            swap='face-64',
            type=''),
        61:
        dict(
            color=[
                255,
                0,
                0,
            ],
            id=61,
            name='face-61',
            swap='face-63',
            type=''),
        62:
        dict(color=[
            255,
            0,
            0,
        ], id=62, name='face-62', swap='', type=''),
        63:
        dict(
            color=[
                255,
                0,
                0,
            ],
            id=63,
            name='face-63',
            swap='face-61',
            type=''),
        64:
        dict(
            color=[
                255,
                0,
                0,
            ],
            id=64,
            name='face-64',
            swap='face-60',
            type=''),
        65:
        dict(
            color=[
                255,
                0,
                0,
            ],
            id=65,
            name='face-65',
            swap='face-67',
            type=''),
        66:
        dict(color=[
            255,
            0,
            0,
        ], id=66, name='face-66', swap='', type=''),
        67:
        dict(
            color=[
                255,
                0,
                0,
            ],
            id=67,
            name='face-67',
            swap='face-65',
            type=''),
        7:
        dict(color=[
            255,
            0,
            0,
        ], id=7, name='face-7', swap='face-9', type=''),
        8:
        dict(color=[
            255,
            0,
            0,
        ], id=8, name='face-8', swap='', type=''),
        9:
        dict(color=[
            255,
            0,
            0,
        ], id=9, name='face-9', swap='face-7', type='')
    }),
    paper_info=dict(
        author=
        'Jin, Sheng and Xu, Lumin and Xu, Jin and Wang, Can and Liu, Wentao and Qian, Chen and Ouyang, Wanli and Luo, Ping',
        container=
        'Proceedings of the European Conference on Computer Vision (ECCV)',
        homepage='https://github.com/jin-s13/COCO-WholeBody/',
        title='Whole-Body Human Pose Estimation in the Wild',
        year='2020'),
    sigmas=[
        0.042,
        0.043,
        0.044,
        0.043,
        0.04,
        0.035,
        0.031,
        0.025,
        0.02,
        0.023,
        0.029,
        0.032,
        0.037,
        0.038,
        0.043,
        0.041,
        0.045,
        0.013,
        0.012,
        0.011,
        0.011,
        0.012,
        0.012,
        0.011,
        0.011,
        0.013,
        0.015,
        0.009,
        0.007,
        0.007,
        0.007,
        0.012,
        0.009,
        0.008,
        0.016,
        0.01,
        0.017,
        0.011,
        0.009,
        0.011,
        0.009,
        0.007,
        0.013,
        0.008,
        0.011,
        0.012,
        0.01,
        0.034,
        0.008,
        0.008,
        0.009,
        0.008,
        0.008,
        0.007,
        0.01,
        0.008,
        0.009,
        0.009,
        0.009,
        0.007,
        0.007,
        0.008,
        0.011,
        0.008,
        0.008,
        0.008,
        0.01,
        0.008,
    ],
    skeleton_info=dict())
dataset_type = 'CocoWholeBodyFaceDataset'
default_hooks = dict(
    badcase=dict(
        badcase_thr=5,
        enable=False,
        metric_type='loss',
        out_dir='badcase',
        type='BadCaseAnalysisHook'),
    checkpoint=dict(
        interval=1, rule='less', save_best='NME', type='CheckpointHook'),
    logger=dict(interval=50, type='LoggerHook'),
    param_scheduler=dict(type='ParamSchedulerHook'),
    sampler_seed=dict(type='DistSamplerSeedHook'),
    timer=dict(type='IterTimerHook'),
    visualization=dict(enable=False, type='PoseVisualizationHook'))
default_scope = 'mmpose'
env_cfg = dict(
    cudnn_benchmark=False,
    dist_cfg=dict(backend='gloo'),
    mp_cfg=dict(mp_start_method='fork', opencv_num_threads=0))
launcher = 'pytorch'
load_from = None
log_level = 'INFO'
log_processor = dict(
    by_epoch=True, num_digits=6, type='LogProcessor', window_size=50)
model = dict(
    backbone=dict(
        extra=dict(
            stage1=dict(
                block='BOTTLENECK',
                num_blocks=(4, ),
                num_branches=1,
                num_channels=(64, ),
                num_modules=1),
            stage2=dict(
                block='BASIC',
                num_blocks=(
                    4,
                    4,
                ),
                num_branches=2,
                num_channels=(
                    18,
                    36,
                ),
                num_modules=1),
            stage3=dict(
                block='BASIC',
                num_blocks=(
                    4,
                    4,
                    4,
                ),
                num_branches=3,
                num_channels=(
                    18,
                    36,
                    72,
                ),
                num_modules=4),
            stage4=dict(
                block='BASIC',
                multiscale_output=True,
                num_blocks=(
                    4,
                    4,
                    4,
                    4,
                ),
                num_branches=4,
                num_channels=(
                    18,
                    36,
                    72,
                    144,
                ),
                num_modules=3),
            upsample=dict(align_corners=False, mode='bilinear')),
        in_channels=3,
        init_cfg=dict(
            checkpoint='open-mmlab://msra/hrnetv2_w18', type='Pretrained'),
        type='HRNet'),
    data_preprocessor=dict(
        bgr_to_rgb=True,
        mean=[
            123.675,
            116.28,
            103.53,
        ],
        std=[
            58.395,
            57.12,
            57.375,
        ],
        type='PoseDataPreprocessor'),
    head=dict(
        conv_kernel_sizes=(1, ),
        conv_out_channels=(270, ),
        decoder=dict(
            heatmap_size=(
                64,
                64,
            ),
            input_size=(
                256,
                256,
            ),
            sigma=2,
            type='MSRAHeatmap',
            unbiased=True),
        deconv_out_channels=None,
        in_channels=270,
        loss=dict(type='KeypointMSELoss', use_target_weight=True),
        out_channels=68,
        type='HeatmapHead'),
    neck=dict(concat=True, type='FeatureMapProcessor'),
    test_cfg=dict(flip_mode='heatmap', flip_test=True, shift_heatmap=True),
    type='TopdownPoseEstimator')
optim_wrapper = dict(
    loss_scale='dynamic',
    optimizer=dict(lr=0.002, type='Adam'),
    type='AmpOptimWrapper')
param_scheduler = [
    dict(
        begin=0, by_epoch=False, end=500, start_factor=0.001, type='LinearLR'),
    dict(
        begin=0,
        by_epoch=True,
        end=210,
        gamma=0.1,
        milestones=[
            40,
            55,
        ],
        type='MultiStepLR'),
]
resume = False
test_cfg = dict()
test_dataloader = dict(
    batch_size=32,
    dataset=dict(
        ann_file=
        'A:\\NonEnclosureProjects\\inprep\\PrimateFace\\data\\annos_from_rex\\test.json',
        data_mode='topdown',
        pipeline=[
            dict(type='LoadImage'),
            dict(type='GetBBoxCenterScale'),
            dict(input_size=(
                256,
                256,
            ), type='TopdownAffine'),
            dict(type='PackPoseInputs'),
        ],
        test_mode=True,
        type='CocoWholeBodyFaceDataset'),
    drop_last=False,
    num_workers=2,
    persistent_workers=True,
    sampler=dict(round_up=False, shuffle=False, type='DefaultSampler'))
test_evaluator = dict(norm_mode='keypoint_distance', type='NME')
train_cfg = dict(by_epoch=True, max_epochs=60, val_interval=1)
train_dataloader = dict(
    batch_size=64,
    dataset=dict(
        ann_file=
        'A:\\NonEnclosureProjects\\inprep\\PrimateFace\\data\\annos_from_rex\\train.json',
        data_mode='topdown',
        pipeline=[
            dict(type='LoadImage'),
            dict(type='GetBBoxCenterScale'),
            dict(direction='horizontal', type='RandomFlip'),
            dict(direction='vertical', type='RandomFlip'),
            dict(
                rotate_factor=60,
                scale_factor=(
                    0.75,
                    1.25,
                ),
                type='RandomBBoxTransform'),
            dict(input_size=(
                256,
                256,
            ), type='TopdownAffine'),
            dict(
                encoder=dict(
                    heatmap_size=(
                        64,
                        64,
                    ),
                    input_size=(
                        256,
                        256,
                    ),
                    sigma=2,
                    type='MSRAHeatmap',
                    unbiased=True),
                type='GenerateTarget'),
            dict(type='PackPoseInputs'),
        ],
        type='CocoWholeBodyFaceDataset'),
    num_workers=4,
    persistent_workers=True,
    sampler=dict(shuffle=True, type='DefaultSampler'))
train_pipeline = [
    dict(type='LoadImage'),
    dict(type='GetBBoxCenterScale'),
    dict(direction='horizontal', type='RandomFlip'),
    dict(direction='vertical', type='RandomFlip'),
    dict(
        rotate_factor=60,
        scale_factor=(
            0.75,
            1.25,
        ),
        type='RandomBBoxTransform'),
    dict(input_size=(
        256,
        256,
    ), type='TopdownAffine'),
    dict(
        encoder=dict(
            heatmap_size=(
                64,
                64,
            ),
            input_size=(
                256,
                256,
            ),
            sigma=2,
            type='MSRAHeatmap',
            unbiased=True),
        type='GenerateTarget'),
    dict(type='PackPoseInputs'),
]
val_cfg = dict()
val_dataloader = dict(
    batch_size=32,
    dataset=dict(
        ann_file=
        'A:\\NonEnclosureProjects\\inprep\\PrimateFace\\data\\annos_from_rex\\val.json',
        data_mode='topdown',
        pipeline=[
            dict(type='LoadImage'),
            dict(type='GetBBoxCenterScale'),
            dict(input_size=(
                256,
                256,
            ), type='TopdownAffine'),
            dict(type='PackPoseInputs'),
        ],
        test_mode=True,
        type='CocoWholeBodyFaceDataset'),
    drop_last=False,
    num_workers=2,
    persistent_workers=True,
    sampler=dict(round_up=False, shuffle=False, type='DefaultSampler'))
val_evaluator = dict(norm_mode='keypoint_distance', type='NME')
val_pipeline = [
    dict(type='LoadImage'),
    dict(type='GetBBoxCenterScale'),
    dict(input_size=(
        256,
        256,
    ), type='TopdownAffine'),
    dict(type='PackPoseInputs'),
]
vis_backends = [
    dict(type='LocalVisBackend'),
]
visualizer = dict(
    name='visualizer',
    type='PoseLocalVisualizer',
    vis_backends=[
        dict(type='LocalVisBackend'),
    ])
work_dir = 'A:\\NonEnclosureProjects\\inprep\\PrimateFace\\results\\hrnet-dark_rex_4.5k_68kpt_250528'