-
Notifications
You must be signed in to change notification settings - Fork 598
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
[Feature] Support DanceTrack dataset for MOT #543
Merged
+450
−89
Merged
Changes from all commits
Commits
Show all changes
10 commits
Select commit
Hold shift + click to select a range
8b69aaf
fix format
noahcao f7777e1
support dancetrack dataset
noahcao 71d0582
Merge branch 'dancetrack' of https://github.com/noahcao/mmtracking in…
noahcao 5058e88
delete unused function; inherit dancetrack dataset class from MOTChal…
noahcao a29e15b
remove duplicated content in DancetrackDataset
noahcao 5d21063
remove legacy code
noahcao ae1c3c5
refactor DanceTrackDataset class
GT9505 f4caf15
fix error in dancetrack qdtrack config file
noahcao d17cc17
refactor qdtrack config files.
noahcao 04e9b38
Update dancetrack_dataset.py
GT9505 File filter
Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,74 @@ | ||
| # dataset settings | ||
| dataset_type = 'DanceTrackDataset' | ||
| img_norm_cfg = dict( | ||
| mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True) | ||
| train_pipeline = [ | ||
| dict(type='LoadMultiImagesFromFile', to_float32=True), | ||
| dict(type='SeqLoadAnnotations', with_bbox=True, with_track=True), | ||
| dict( | ||
| type='SeqResize', | ||
| img_scale=(1088, 1088), | ||
| share_params=True, | ||
| ratio_range=(0.8, 1.2), | ||
| keep_ratio=True, | ||
| bbox_clip_border=False), | ||
| dict(type='SeqPhotoMetricDistortion', share_params=True), | ||
| dict( | ||
| type='SeqRandomCrop', | ||
| share_params=False, | ||
| crop_size=(1088, 1088), | ||
| bbox_clip_border=False), | ||
| dict(type='SeqRandomFlip', share_params=True, flip_ratio=0.5), | ||
| dict(type='SeqNormalize', **img_norm_cfg), | ||
| dict(type='SeqPad', size_divisor=32), | ||
| dict(type='MatchInstances', skip_nomatch=True), | ||
| dict( | ||
| type='VideoCollect', | ||
| keys=[ | ||
| 'img', 'gt_bboxes', 'gt_labels', 'gt_match_indices', | ||
| 'gt_instance_ids' | ||
| ]), | ||
| dict(type='SeqDefaultFormatBundle', ref_prefix='ref') | ||
| ] | ||
| test_pipeline = [ | ||
| dict(type='LoadImageFromFile'), | ||
| dict( | ||
| type='MultiScaleFlipAug', | ||
| img_scale=(1088, 1088), | ||
| flip=False, | ||
| transforms=[ | ||
| dict(type='Resize', keep_ratio=True), | ||
| dict(type='RandomFlip'), | ||
| dict(type='Normalize', **img_norm_cfg), | ||
| dict(type='Pad', size_divisor=32), | ||
| dict(type='ImageToTensor', keys=['img']), | ||
| dict(type='VideoCollect', keys=['img']) | ||
| ]) | ||
| ] | ||
| data_root = 'data/dancetrack/' | ||
| data = dict( | ||
| samples_per_gpu=2, | ||
| workers_per_gpu=2, | ||
| train=dict( | ||
| type=dataset_type, | ||
| visibility_thr=-1, | ||
| ann_file=data_root + 'annotations/train_cocoformat.json', | ||
| img_prefix=data_root + 'train', | ||
| ref_img_sampler=dict( | ||
| num_ref_imgs=1, | ||
| frame_range=10, | ||
| filter_key_img=True, | ||
| method='uniform'), | ||
| pipeline=train_pipeline), | ||
| val=dict( | ||
| type=dataset_type, | ||
| ann_file=data_root + 'annotations/val_cocoformat.json', | ||
| img_prefix=data_root + 'val', | ||
| ref_img_sampler=None, | ||
| pipeline=test_pipeline), | ||
| test=dict( | ||
| type=dataset_type, | ||
| ann_file=data_root + 'annotations/val_cocoformat.json', | ||
| img_prefix=data_root + 'val', | ||
| ref_img_sampler=None, | ||
| pipeline=test_pipeline)) |
81 changes: 81 additions & 0 deletions
81
configs/mot/qdtrack/qdtrack_faster-rcnn_r50_fpn_4e_base.py
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,81 @@ | ||
| _base_ = [ | ||
| '../../_base_/models/faster_rcnn_r50_fpn.py', | ||
| '../../_base_/default_runtime.py' | ||
| ] | ||
| model = dict( | ||
| type='QDTrack', | ||
| detector=dict( | ||
| backbone=dict( | ||
| norm_cfg=dict(requires_grad=False), | ||
| style='caffe', | ||
| init_cfg=dict( | ||
| type='Pretrained', checkpoint='torchvision://resnet50')), | ||
| rpn_head=dict(bbox_coder=dict(clip_border=False)), | ||
| roi_head=dict( | ||
| bbox_head=dict( | ||
| loss_bbox=dict(type='L1Loss', loss_weight=1.0), | ||
| bbox_coder=dict(clip_border=False), | ||
| num_classes=1)), | ||
| init_cfg=dict( | ||
| type='Pretrained', | ||
| checkpoint= # noqa: E251 | ||
| 'https://download.openmmlab.com/mmdetection/v2.0/faster_rcnn/faster_rcnn_r50_fpn_1x_coco-person/faster_rcnn_r50_fpn_1x_coco-person_20201216_175929-d022e227.pth' # noqa: E501 | ||
| )), | ||
| track_head=dict( | ||
| type='QuasiDenseTrackHead', | ||
| roi_extractor=dict( | ||
| type='SingleRoIExtractor', | ||
| roi_layer=dict(type='RoIAlign', output_size=7, sampling_ratio=0), | ||
| out_channels=256, | ||
| featmap_strides=[4, 8, 16, 32]), | ||
| embed_head=dict( | ||
| type='QuasiDenseEmbedHead', | ||
| num_convs=4, | ||
| num_fcs=1, | ||
| embed_channels=256, | ||
| norm_cfg=dict(type='GN', num_groups=32), | ||
| loss_track=dict(type='MultiPosCrossEntropyLoss', loss_weight=0.25), | ||
| loss_track_aux=dict( | ||
| type='L2Loss', | ||
| neg_pos_ub=3, | ||
| pos_margin=0, | ||
| neg_margin=0.1, | ||
| hard_mining=True, | ||
| loss_weight=1.0)), | ||
| loss_bbox=dict(type='L1Loss', loss_weight=1.0), | ||
| train_cfg=dict( | ||
| assigner=dict( | ||
| type='MaxIoUAssigner', | ||
| pos_iou_thr=0.7, | ||
| neg_iou_thr=0.5, | ||
| min_pos_iou=0.5, | ||
| match_low_quality=False, | ||
| ignore_iof_thr=-1), | ||
| sampler=dict( | ||
| type='CombinedSampler', | ||
| num=256, | ||
| pos_fraction=0.5, | ||
| neg_pos_ub=3, | ||
| add_gt_as_proposals=True, | ||
| pos_sampler=dict(type='InstanceBalancedPosSampler'), | ||
| neg_sampler=dict(type='RandomSampler')))), | ||
| tracker=dict( | ||
| type='QuasiDenseEmbedTracker', | ||
| init_score_thr=0.9, | ||
| obj_score_thr=0.5, | ||
| match_score_thr=0.5, | ||
| memo_tracklet_frames=30, | ||
| memo_backdrop_frames=1, | ||
| memo_momentum=0.8, | ||
| nms_conf_thr=0.5, | ||
| nms_backdrop_iou_thr=0.3, | ||
| nms_class_iou_thr=0.7, | ||
| with_cats=True, | ||
| match_metric='bisoftmax')) | ||
| # optimizer && learning policy | ||
| optimizer_config = dict( | ||
| _delete_=True, grad_clip=dict(max_norm=35, norm_type=2)) | ||
| lr_config = dict(policy='step', step=[3]) | ||
| # runtime settings | ||
| total_epochs = 4 | ||
| evaluation = dict(metric=['bbox', 'track'], interval=1) |
53 changes: 53 additions & 0 deletions
53
configs/mot/qdtrack/qdtrack_faster-rcnn_r50_fpn_4e_dancetrack.py
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,53 @@ | ||
| _base_ = [ | ||
| './qdtrack_faster-rcnn_r50_fpn_4e_base.py', | ||
| '../../_base_/datasets/dancetrack.py', | ||
| ] | ||
| img_norm_cfg = dict( | ||
| mean=[103.530, 116.280, 123.675], std=[1.0, 1.0, 1.0], to_rgb=False) | ||
| train_pipeline = [ | ||
| dict(type='LoadMultiImagesFromFile', to_float32=True), | ||
| dict(type='SeqLoadAnnotations', with_bbox=True, with_track=True), | ||
| dict( | ||
| type='SeqResize', | ||
| img_scale=(1088, 1088), | ||
| share_params=True, | ||
| ratio_range=(0.8, 1.2), | ||
| keep_ratio=True, | ||
| bbox_clip_border=False), | ||
| dict(type='SeqPhotoMetricDistortion', share_params=True), | ||
| dict( | ||
| type='SeqRandomCrop', | ||
| share_params=False, | ||
| crop_size=(1088, 1088), | ||
| bbox_clip_border=False), | ||
| dict(type='SeqRandomFlip', share_params=True, flip_ratio=0.5), | ||
| dict(type='SeqNormalize', **img_norm_cfg), | ||
| dict(type='SeqPad', size_divisor=32), | ||
| dict(type='MatchInstances', skip_nomatch=True), | ||
| dict( | ||
| type='VideoCollect', | ||
| keys=[ | ||
| 'img', 'gt_bboxes', 'gt_labels', 'gt_match_indices', | ||
| 'gt_instance_ids' | ||
| ]), | ||
| dict(type='SeqDefaultFormatBundle', ref_prefix='ref') | ||
| ] | ||
| test_pipeline = [ | ||
| dict(type='LoadImageFromFile'), | ||
| dict( | ||
| type='MultiScaleFlipAug', | ||
| img_scale=(1088, 1088), | ||
| flip=False, | ||
| transforms=[ | ||
| dict(type='Resize', keep_ratio=True), | ||
| dict(type='RandomFlip'), | ||
| dict(type='Normalize', **img_norm_cfg), | ||
| dict(type='Pad', size_divisor=32), | ||
| dict(type='ImageToTensor', keys=['img']), | ||
| dict(type='VideoCollect', keys=['img']) | ||
| ]) | ||
| ] | ||
| data = dict( | ||
| train=dict(pipeline=train_pipeline), | ||
| val=dict(pipeline=test_pipeline), | ||
| test=dict(pipeline=test_pipeline)) | ||
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Oops, something went wrong.
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
inherit from https://github.com/open-mmlab/mmtracking/blob/master/configs/mot/qdtrack/qdtrack_faster-rcnn_r50_fpn_4e_mot17-private-half.py