| auto_scale_lr = dict(base_batch_size=16, enable=False) |
| backend_args = None |
| base_lr = 0.002 |
| custom_hooks = [ |
| dict( |
| ema_type='ExpMomentumEMA', |
| momentum=0.0002, |
| priority=49, |
| type='EMAHook', |
| update_buffers=True), |
| dict( |
| switch_epoch=280, |
| switch_pipeline=[ |
| dict(backend_args=None, type='LoadImageFromFile'), |
| dict( |
| poly2mask=False, |
| type='LoadAnnotations', |
| with_bbox=True, |
| with_mask=True), |
| dict( |
| keep_ratio=True, |
| ratio_range=( |
| 0.1, |
| 2.0, |
| ), |
| scale=( |
| 640, |
| 640, |
| ), |
| type='RandomResize'), |
| dict( |
| allow_negative_crop=True, |
| crop_size=( |
| 640, |
| 640, |
| ), |
| recompute_bbox=True, |
| type='RandomCrop'), |
| dict(min_gt_bbox_wh=( |
| 1, |
| 1, |
| ), type='FilterAnnotations'), |
| dict(type='YOLOXHSVRandomAug'), |
| dict(prob=0.5, type='RandomFlip'), |
| dict( |
| pad_val=dict(img=( |
| 114, |
| 114, |
| 114, |
| )), |
| size=( |
| 640, |
| 640, |
| ), |
| type='Pad'), |
| dict(type='PackDetInputs'), |
| ], |
| type='PipelineSwitchHook'), |
| ] |
| data_root = '/kfs2/projects/pvfleets24/repos/cv-dl-framework' |
| dataset_type = 'CocoDataset' |
| default_hooks = dict( |
| checkpoint=dict( |
| rule='greater', save_best='coco/bbox_mAP_50', type='CheckpointHook'), |
| logger=dict(interval=50, type='LoggerHook'), |
| param_scheduler=dict(type='ParamSchedulerHook'), |
| sampler_seed=dict(type='DistSamplerSeedHook'), |
| timer=dict(type='IterTimerHook'), |
| visualization=dict(type='DetVisualizationHook')) |
| default_scope = 'mmdet' |
| env_cfg = dict( |
| cudnn_benchmark=False, |
| dist_cfg=dict(backend='nccl'), |
| mp_cfg=dict(mp_start_method='fork', opencv_num_threads=0)) |
| img_scales = [ |
| ( |
| 640, |
| 640, |
| ), |
| ( |
| 320, |
| 320, |
| ), |
| ( |
| 960, |
| 960, |
| ), |
| ] |
| interval = 10 |
| launcher = 'none' |
| load_from = '/kfs2/projects/pvfleets24/repos/cv-dl-framework/checkpoints/rtmdet-ins_x_8xb16-300e_coco_20221124_111313-33d4595b.pth' |
| log_level = 'INFO' |
| log_processor = dict(by_epoch=True, type='LogProcessor', window_size=50) |
| max_epochs = 300 |
| metainfo = dict( |
| classes=( |
| 'tracker-row', |
| 'inverter', |
| 'dual-axis-tracker', |
| 'fix-tilt-row', |
| 'substation', |
| 'switch', |
| 'other', |
| 'tracker-cable', |
| 'transformer', |
| 'battery', |
| 'carport', |
| 'rooftop', |
| )) |
| model = dict( |
| backbone=dict( |
| act_cfg=dict(inplace=True, type='SiLU'), |
| arch='P5', |
| channel_attention=True, |
| deepen_factor=1.33, |
| expand_ratio=0.5, |
| norm_cfg=dict(type='SyncBN'), |
| type='CSPNeXt', |
| widen_factor=1.25), |
| bbox_head=dict( |
| act_cfg=dict(inplace=True, type='SiLU'), |
| anchor_generator=dict( |
| offset=0, strides=[ |
| 8, |
| 16, |
| 32, |
| ], type='MlvlPointGenerator'), |
| bbox_coder=dict(type='DistancePointBBoxCoder'), |
| feat_channels=320, |
| in_channels=320, |
| loss_bbox=dict(loss_weight=2.0, type='GIoULoss'), |
| loss_cls=dict( |
| beta=2.0, |
| loss_weight=1.0, |
| type='QualityFocalLoss', |
| use_sigmoid=True), |
| loss_mask=dict( |
| eps=5e-06, loss_weight=2.0, reduction='mean', type='DiceLoss'), |
| norm_cfg=dict(requires_grad=True, type='SyncBN'), |
| num_classes=12, |
| pred_kernel_size=1, |
| share_conv=True, |
| stacked_convs=2, |
| type='RTMDetInsSepBNHead'), |
| data_preprocessor=dict( |
| batch_augments=None, |
| bgr_to_rgb=False, |
| mean=[ |
| 103.53, |
| 116.28, |
| 123.675, |
| ], |
| std=[ |
| 57.375, |
| 57.12, |
| 58.395, |
| ], |
| type='DetDataPreprocessor'), |
| neck=dict( |
| act_cfg=dict(inplace=True, type='SiLU'), |
| expand_ratio=0.5, |
| in_channels=[ |
| 320, |
| 640, |
| 1280, |
| ], |
| norm_cfg=dict(type='SyncBN'), |
| num_csp_blocks=4, |
| out_channels=320, |
| type='CSPNeXtPAFPN'), |
| test_cfg=dict( |
| mask_thr_binary=0.5, |
| max_per_img=100, |
| min_bbox_size=0, |
| nms=dict(iou_threshold=0.6, type='nms'), |
| nms_pre=1000, |
| score_thr=0.05), |
| train_cfg=dict( |
| allowed_border=-1, |
| assigner=dict(topk=13, type='DynamicSoftLabelAssigner'), |
| debug=False, |
| pos_weight=-1), |
| type='RTMDet') |
| optim_wrapper = dict( |
| optimizer=dict(lr=0.002, type='AdamW', weight_decay=0.05), |
| paramwise_cfg=dict( |
| bias_decay_mult=0, bypass_duplicate=True, norm_decay_mult=0), |
| type='OptimWrapper') |
| param_scheduler = [ |
| dict( |
| begin=0, by_epoch=False, end=1000, start_factor=1e-05, |
| type='LinearLR'), |
| dict( |
| T_max=150, |
| begin=150, |
| by_epoch=True, |
| convert_to_iter_based=True, |
| end=300, |
| eta_min=0.0001, |
| type='CosineAnnealingLR'), |
| ] |
| resume = False |
| stage2_num_epochs = 20 |
| test_cfg = dict(type='TestLoop') |
| test_dataloader = dict( |
| batch_size=5, |
| dataset=dict( |
| ann_file= |
| '/kfs2/projects/pvfleets24/repos/cv-dl-framework/valid/label_json.json', |
| backend_args=None, |
| data_prefix=dict( |
| img='/kfs2/projects/pvfleets24/repos/cv-dl-framework/valid/images/' |
| ), |
| data_root='/kfs2/projects/pvfleets24/repos/cv-dl-framework', |
| metainfo=dict( |
| classes=( |
| 'tracker-row', |
| 'inverter', |
| 'dual-axis-tracker', |
| 'fix-tilt-row', |
| 'substation', |
| 'switch', |
| 'other', |
| 'tracker-cable', |
| 'transformer', |
| 'battery', |
| 'carport', |
| 'rooftop', |
| )), |
| pipeline=[ |
| dict(backend_args=None, type='LoadImageFromFile'), |
| dict(keep_ratio=True, scale=( |
| 640, |
| 640, |
| ), type='Resize'), |
| dict( |
| pad_val=dict(img=( |
| 114, |
| 114, |
| 114, |
| )), |
| size=( |
| 640, |
| 640, |
| ), |
| type='Pad'), |
| dict(type='LoadAnnotations', with_bbox=True), |
| dict( |
| meta_keys=( |
| 'img_id', |
| 'img_path', |
| 'ori_shape', |
| 'img_shape', |
| 'scale_factor', |
| ), |
| type='PackDetInputs'), |
| ], |
| test_mode=True, |
| type='CocoDataset'), |
| drop_last=False, |
| num_workers=10, |
| persistent_workers=True, |
| sampler=dict(shuffle=False, type='DefaultSampler')) |
| test_evaluator = dict( |
| ann_file= |
| '/kfs2/projects/pvfleets24/repos/cv-dl-framework/valid/label_json.json', |
| backend_args=None, |
| format_only=False, |
| metric=[ |
| 'bbox', |
| 'segm', |
| ], |
| proposal_nums=( |
| 100, |
| 1, |
| 10, |
| ), |
| type='CocoMetric') |
| test_pipeline = [ |
| dict(backend_args=None, type='LoadImageFromFile'), |
| dict(keep_ratio=True, scale=( |
| 640, |
| 640, |
| ), type='Resize'), |
| dict(pad_val=dict(img=( |
| 114, |
| 114, |
| 114, |
| )), size=( |
| 640, |
| 640, |
| ), type='Pad'), |
| dict(type='LoadAnnotations', with_bbox=True), |
| dict( |
| meta_keys=( |
| 'img_id', |
| 'img_path', |
| 'ori_shape', |
| 'img_shape', |
| 'scale_factor', |
| ), |
| type='PackDetInputs'), |
| ] |
| train_cfg = dict( |
| dynamic_intervals=[ |
| ( |
| 280, |
| 1, |
| ), |
| ], |
| max_epochs=300, |
| type='EpochBasedTrainLoop', |
| val_interval=3) |
| train_dataloader = dict( |
| batch_sampler=None, |
| batch_size=4, |
| dataset=dict( |
| ann_file= |
| '/kfs2/projects/pvfleets24/repos/cv-dl-framework/train/label_json.json', |
| backend_args=None, |
| data_prefix=dict( |
| img='/kfs2/projects/pvfleets24/repos/cv-dl-framework/train/images/' |
| ), |
| data_root='/kfs2/projects/pvfleets24/repos/cv-dl-framework', |
| filter_cfg=dict(filter_empty_gt=True, min_size=32), |
| metainfo=dict( |
| classes=( |
| 'tracker-row', |
| 'inverter', |
| 'dual-axis-tracker', |
| 'fix-tilt-row', |
| 'substation', |
| 'switch', |
| 'other', |
| 'tracker-cable', |
| 'transformer', |
| 'battery', |
| 'carport', |
| 'rooftop', |
| )), |
| pipeline=[ |
| dict(backend_args=None, type='LoadImageFromFile'), |
| dict( |
| poly2mask=False, |
| type='LoadAnnotations', |
| with_bbox=True, |
| with_mask=True), |
| dict(img_scale=( |
| 640, |
| 640, |
| ), pad_val=114.0, type='CachedMosaic'), |
| dict( |
| keep_ratio=True, |
| ratio_range=( |
| 0.1, |
| 2.0, |
| ), |
| scale=( |
| 1280, |
| 1280, |
| ), |
| type='RandomResize'), |
| dict( |
| allow_negative_crop=True, |
| crop_size=( |
| 640, |
| 640, |
| ), |
| recompute_bbox=True, |
| type='RandomCrop'), |
| dict(type='YOLOXHSVRandomAug'), |
| dict(prob=0.5, type='RandomFlip'), |
| dict( |
| pad_val=dict(img=( |
| 114, |
| 114, |
| 114, |
| )), |
| size=( |
| 640, |
| 640, |
| ), |
| type='Pad'), |
| dict( |
| img_scale=( |
| 640, |
| 640, |
| ), |
| max_cached_images=20, |
| pad_val=( |
| 114, |
| 114, |
| 114, |
| ), |
| ratio_range=( |
| 1.0, |
| 1.0, |
| ), |
| type='CachedMixUp'), |
| dict(min_gt_bbox_wh=( |
| 1, |
| 1, |
| ), type='FilterAnnotations'), |
| dict(type='PackDetInputs'), |
| ], |
| type='CocoDataset'), |
| num_workers=10, |
| persistent_workers=True, |
| pin_memory=True, |
| sampler=dict(shuffle=True, type='DefaultSampler')) |
| train_pipeline = [ |
| dict(backend_args=None, type='LoadImageFromFile'), |
| dict( |
| poly2mask=False, |
| type='LoadAnnotations', |
| with_bbox=True, |
| with_mask=True), |
| dict(img_scale=( |
| 640, |
| 640, |
| ), pad_val=114.0, type='CachedMosaic'), |
| dict( |
| keep_ratio=True, |
| ratio_range=( |
| 0.1, |
| 2.0, |
| ), |
| scale=( |
| 1280, |
| 1280, |
| ), |
| type='RandomResize'), |
| dict( |
| allow_negative_crop=True, |
| crop_size=( |
| 640, |
| 640, |
| ), |
| recompute_bbox=True, |
| type='RandomCrop'), |
| dict(type='YOLOXHSVRandomAug'), |
| dict(prob=0.5, type='RandomFlip'), |
| dict(pad_val=dict(img=( |
| 114, |
| 114, |
| 114, |
| )), size=( |
| 640, |
| 640, |
| ), type='Pad'), |
| dict( |
| img_scale=( |
| 640, |
| 640, |
| ), |
| max_cached_images=20, |
| pad_val=( |
| 114, |
| 114, |
| 114, |
| ), |
| ratio_range=( |
| 1.0, |
| 1.0, |
| ), |
| type='CachedMixUp'), |
| dict(min_gt_bbox_wh=( |
| 1, |
| 1, |
| ), type='FilterAnnotations'), |
| dict(type='PackDetInputs'), |
| ] |
| train_pipeline_stage2 = [ |
| dict(backend_args=None, type='LoadImageFromFile'), |
| dict( |
| poly2mask=False, |
| type='LoadAnnotations', |
| with_bbox=True, |
| with_mask=True), |
| dict( |
| keep_ratio=True, |
| ratio_range=( |
| 0.1, |
| 2.0, |
| ), |
| scale=( |
| 640, |
| 640, |
| ), |
| type='RandomResize'), |
| dict( |
| allow_negative_crop=True, |
| crop_size=( |
| 640, |
| 640, |
| ), |
| recompute_bbox=True, |
| type='RandomCrop'), |
| dict(min_gt_bbox_wh=( |
| 1, |
| 1, |
| ), type='FilterAnnotations'), |
| dict(type='YOLOXHSVRandomAug'), |
| dict(prob=0.5, type='RandomFlip'), |
| dict(pad_val=dict(img=( |
| 114, |
| 114, |
| 114, |
| )), size=( |
| 640, |
| 640, |
| ), type='Pad'), |
| dict(type='PackDetInputs'), |
| ] |
| tta_model = dict( |
| tta_cfg=dict(max_per_img=100, nms=dict(iou_threshold=0.6, type='nms')), |
| type='DetTTAModel') |
| tta_pipeline = [ |
| dict(backend_args=None, type='LoadImageFromFile'), |
| dict( |
| transforms=[ |
| [ |
| dict(keep_ratio=True, scale=( |
| 640, |
| 640, |
| ), type='Resize'), |
| dict(keep_ratio=True, scale=( |
| 320, |
| 320, |
| ), type='Resize'), |
| dict(keep_ratio=True, scale=( |
| 960, |
| 960, |
| ), type='Resize'), |
| ], |
| [ |
| dict(prob=1.0, type='RandomFlip'), |
| dict(prob=0.0, type='RandomFlip'), |
| ], |
| [ |
| dict( |
| pad_val=dict(img=( |
| 114, |
| 114, |
| 114, |
| )), |
| size=( |
| 960, |
| 960, |
| ), |
| type='Pad'), |
| ], |
| [ |
| dict(type='LoadAnnotations', with_bbox=True), |
| ], |
| [ |
| dict( |
| meta_keys=( |
| 'img_id', |
| 'img_path', |
| 'ori_shape', |
| 'img_shape', |
| 'scale_factor', |
| 'flip', |
| 'flip_direction', |
| ), |
| type='PackDetInputs'), |
| ], |
| ], |
| type='TestTimeAug'), |
| ] |
| val_cfg = dict(type='ValLoop') |
| val_dataloader = dict( |
| batch_size=5, |
| dataset=dict( |
| ann_file= |
| '/kfs2/projects/pvfleets24/repos/cv-dl-framework/valid/label_json.json', |
| backend_args=None, |
| data_prefix=dict( |
| img='/kfs2/projects/pvfleets24/repos/cv-dl-framework/valid/images/' |
| ), |
| data_root='/kfs2/projects/pvfleets24/repos/cv-dl-framework', |
| metainfo=dict( |
| classes=( |
| 'tracker-row', |
| 'inverter', |
| 'dual-axis-tracker', |
| 'fix-tilt-row', |
| 'substation', |
| 'switch', |
| 'other', |
| 'tracker-cable', |
| 'transformer', |
| 'battery', |
| 'carport', |
| 'rooftop', |
| )), |
| pipeline=[ |
| dict(backend_args=None, type='LoadImageFromFile'), |
| dict(keep_ratio=True, scale=( |
| 640, |
| 640, |
| ), type='Resize'), |
| dict( |
| pad_val=dict(img=( |
| 114, |
| 114, |
| 114, |
| )), |
| size=( |
| 640, |
| 640, |
| ), |
| type='Pad'), |
| dict(type='LoadAnnotations', with_bbox=True), |
| dict( |
| meta_keys=( |
| 'img_id', |
| 'img_path', |
| 'ori_shape', |
| 'img_shape', |
| 'scale_factor', |
| ), |
| type='PackDetInputs'), |
| ], |
| test_mode=True, |
| type='CocoDataset'), |
| drop_last=False, |
| num_workers=10, |
| persistent_workers=True, |
| sampler=dict(shuffle=False, type='DefaultSampler')) |
| val_evaluator = dict( |
| ann_file= |
| '/kfs2/projects/pvfleets24/repos/cv-dl-framework/valid/label_json.json', |
| backend_args=None, |
| format_only=False, |
| metric=[ |
| 'bbox', |
| 'segm', |
| ], |
| proposal_nums=( |
| 100, |
| 1, |
| 10, |
| ), |
| type='CocoMetric') |
| vis_backends = [ |
| dict(type='LocalVisBackend'), |
| ] |
| visualizer = dict( |
| name='visualizer', |
| type='DetLocalVisualizer', |
| vis_backends=[ |
| dict( |
| save_dir= |
| '/kfs2/projects/pvfleets24/repos/cv-dl-framework/runs/automated_geotagging/23_04_2026_15_55_15', |
| type='LocalVisBackend'), |
| ]) |
| work_dir = '/kfs2/projects/pvfleets24/repos/cv-dl-framework/runs/automated_geotagging/23_04_2026_15_55_15' |
|
|
