Upload 12 files
Browse filesAdd keypose models (object detector and top-down COCO pose estimator models)
- keypose_mmdet_fasterrcnn_r50/README.md +1 -0
- keypose_mmdet_fasterrcnn_r50/faster_rcnn_r50_fpn_1x_coco_20200130-047c8118.safetensors +3 -0
- keypose_mmdet_fasterrcnn_r50/faster_rcnn_r50_fpn_coco.yaml +359 -0
- keypose_mmdet_fasterrcnn_x101/README.md +1 -0
- keypose_mmdet_fasterrcnn_x101/faster_rcnn_x101_64x4d_fpn_mstrain_3x_coco.yaml +391 -0
- keypose_mmdet_fasterrcnn_x101/faster_rcnn_x101_64x4d_fpn_mstrain_3x_coco_20210524_124528-26c63de6.safetensors +3 -0
- keypose_mmpose_hrnet/README.md +1 -0
- keypose_mmpose_hrnet/hrnet_w48_coco_256x192-b9e0b3ab_20200708.safetensors +3 -0
- keypose_mmpose_hrnet/hrnet_w48_coco_256x192.yaml +2040 -0
- keypose_mmpose_hrnet_384/README.md +1 -0
- keypose_mmpose_hrnet_384/hrnet_w48_coco_384x288-314c8528_20200708.safetensors +3 -0
- keypose_mmpose_hrnet_384/hrnet_w48_coco_384x288.yaml +2040 -0
keypose_mmdet_fasterrcnn_r50/README.md
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Originally from https://github.com/open-mmlab/mmdetection, converted to safetensors, used under Apache-2.0
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keypose_mmdet_fasterrcnn_r50/faster_rcnn_r50_fpn_1x_coco_20200130-047c8118.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:2d5d2dd5c9b96c55ab516dacc2bbe6293ff730e5b7bdcff45bef9130ab97d9ce
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size 167266866
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keypose_mmdet_fasterrcnn_r50/faster_rcnn_r50_fpn_coco.yaml
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| 1 |
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checkpoint_config:
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interval: 1
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data:
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samples_per_gpu: 2
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test:
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ann_file: data/coco/annotations/instances_val2017.json
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| 7 |
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img_prefix: data/coco/val2017/
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| 8 |
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pipeline:
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| 9 |
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- type: LoadImageFromFile
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| 10 |
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- flip: false
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img_scale: !!python/tuple
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| 12 |
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- 1333
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- 800
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transforms:
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| 15 |
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- keep_ratio: true
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| 16 |
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type: Resize
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| 17 |
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- type: RandomFlip
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| 18 |
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- mean:
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| 19 |
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- 123.675
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- 116.28
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- 103.53
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std:
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| 23 |
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- 58.395
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| 24 |
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- 57.12
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- 57.375
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to_rgb: true
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| 27 |
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type: Normalize
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| 28 |
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- size_divisor: 32
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| 29 |
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type: Pad
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| 30 |
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- type: DefaultFormatBundle
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| 31 |
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- keys:
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- img
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| 33 |
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type: Collect
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| 34 |
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type: MultiScaleFlipAug
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type: CocoDataset
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| 36 |
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train:
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| 37 |
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ann_file: data/coco/annotations/instances_train2017.json
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| 38 |
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img_prefix: data/coco/train2017/
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| 39 |
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pipeline:
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| 40 |
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- type: LoadImageFromFile
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- type: LoadAnnotations
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with_bbox: true
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| 43 |
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- img_scale: !!python/tuple
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| 44 |
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- 1333
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- 800
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| 46 |
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keep_ratio: true
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| 47 |
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type: Resize
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| 48 |
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- flip_ratio: 0.5
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| 49 |
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type: RandomFlip
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| 50 |
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- mean:
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| 51 |
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- 123.675
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| 52 |
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- 116.28
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| 53 |
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- 103.53
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| 54 |
+
std:
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| 55 |
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- 58.395
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| 56 |
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- 57.12
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| 57 |
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- 57.375
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| 58 |
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to_rgb: true
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| 59 |
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type: Normalize
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| 60 |
+
- size_divisor: 32
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| 61 |
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type: Pad
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| 62 |
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- type: DefaultFormatBundle
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| 63 |
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- keys:
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| 64 |
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- img
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| 65 |
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- gt_bboxes
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| 66 |
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- gt_labels
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| 67 |
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type: Collect
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| 68 |
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type: CocoDataset
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| 69 |
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val:
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| 70 |
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ann_file: data/coco/annotations/instances_val2017.json
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| 71 |
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img_prefix: data/coco/val2017/
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| 72 |
+
pipeline:
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| 73 |
+
- type: LoadImageFromFile
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| 74 |
+
- flip: false
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| 75 |
+
img_scale: !!python/tuple
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| 76 |
+
- 1333
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| 77 |
+
- 800
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| 78 |
+
transforms:
|
| 79 |
+
- keep_ratio: true
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| 80 |
+
type: Resize
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| 81 |
+
- type: RandomFlip
|
| 82 |
+
- mean:
|
| 83 |
+
- 123.675
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| 84 |
+
- 116.28
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| 85 |
+
- 103.53
|
| 86 |
+
std:
|
| 87 |
+
- 58.395
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| 88 |
+
- 57.12
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| 89 |
+
- 57.375
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| 90 |
+
to_rgb: true
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| 91 |
+
type: Normalize
|
| 92 |
+
- size_divisor: 32
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| 93 |
+
type: Pad
|
| 94 |
+
- type: DefaultFormatBundle
|
| 95 |
+
- keys:
|
| 96 |
+
- img
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| 97 |
+
type: Collect
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| 98 |
+
type: MultiScaleFlipAug
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| 99 |
+
type: CocoDataset
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| 100 |
+
workers_per_gpu: 2
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| 101 |
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data_root: data/coco
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| 102 |
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dataset_type: CocoDataset
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| 103 |
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dist_params:
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| 104 |
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backend: nccl
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| 105 |
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evaluation:
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| 106 |
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interval: 1
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| 107 |
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metric: bbox
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| 108 |
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img_norm_cfg:
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| 109 |
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mean:
|
| 110 |
+
- 123.675
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| 111 |
+
- 116.28
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| 112 |
+
- 103.53
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| 113 |
+
std:
|
| 114 |
+
- 58.395
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| 115 |
+
- 57.12
|
| 116 |
+
- 57.375
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| 117 |
+
to_rgb: true
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| 118 |
+
load_from: null
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| 119 |
+
log_config:
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| 120 |
+
hooks:
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| 121 |
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- type: TextLoggerHook
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| 122 |
+
interval: 50
|
| 123 |
+
log_level: INFO
|
| 124 |
+
lr_config:
|
| 125 |
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policy: step
|
| 126 |
+
step:
|
| 127 |
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- 8
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| 128 |
+
- 11
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| 129 |
+
warmup: linear
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| 130 |
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warmup_iters: 500
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| 131 |
+
warmup_ratio: 0.001
|
| 132 |
+
model:
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| 133 |
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backbone:
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| 134 |
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depth: 50
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| 135 |
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frozen_stages: 1
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| 136 |
+
norm_cfg:
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| 137 |
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requires_grad: true
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| 138 |
+
type: BN
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| 139 |
+
norm_eval: true
|
| 140 |
+
num_stages: 4
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| 141 |
+
out_indices: !!python/tuple
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| 142 |
+
- 0
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| 143 |
+
- 1
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| 144 |
+
- 2
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| 145 |
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- 3
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| 146 |
+
style: pytorch
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| 147 |
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type: ResNet
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| 148 |
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neck:
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| 149 |
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in_channels:
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| 150 |
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- 256
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| 151 |
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- 512
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| 152 |
+
- 1024
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| 153 |
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- 2048
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| 154 |
+
num_outs: 5
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| 155 |
+
out_channels: 256
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| 156 |
+
type: FPN
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| 157 |
+
pretrained: torchvision://resnet50
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| 158 |
+
roi_head:
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| 159 |
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bbox_head:
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| 160 |
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bbox_coder:
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| 161 |
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target_means:
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| 162 |
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- 0.0
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| 163 |
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- 0.0
|
| 164 |
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- 0.0
|
| 165 |
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- 0.0
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| 166 |
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target_stds:
|
| 167 |
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- 0.1
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| 168 |
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- 0.1
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| 169 |
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- 0.2
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| 170 |
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- 0.2
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| 171 |
+
type: DeltaXYWHBBoxCoder
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| 172 |
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fc_out_channels: 1024
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| 173 |
+
in_channels: 256
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| 174 |
+
loss_bbox:
|
| 175 |
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loss_weight: 1.0
|
| 176 |
+
type: L1Loss
|
| 177 |
+
loss_cls:
|
| 178 |
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loss_weight: 1.0
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| 179 |
+
type: CrossEntropyLoss
|
| 180 |
+
use_sigmoid: false
|
| 181 |
+
num_classes: 80
|
| 182 |
+
reg_class_agnostic: false
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| 183 |
+
roi_feat_size: 7
|
| 184 |
+
type: Shared2FCBBoxHead
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| 185 |
+
bbox_roi_extractor:
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| 186 |
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featmap_strides:
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| 187 |
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- 4
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| 188 |
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- 8
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| 189 |
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- 16
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| 190 |
+
- 32
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| 191 |
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out_channels: 256
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| 192 |
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roi_layer:
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| 193 |
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output_size: 7
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| 194 |
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sampling_ratio: 0
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| 195 |
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type: RoIAlign
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| 196 |
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type: SingleRoIExtractor
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| 197 |
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type: StandardRoIHead
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| 198 |
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rpn_head:
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| 199 |
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anchor_generator:
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| 200 |
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ratios:
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| 201 |
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- 0.5
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| 202 |
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- 1.0
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| 203 |
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- 2.0
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| 204 |
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scales:
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| 205 |
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- 8
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| 206 |
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strides:
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| 207 |
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- 4
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| 208 |
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- 8
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| 209 |
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- 16
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| 210 |
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- 32
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| 211 |
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- 64
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| 212 |
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type: AnchorGenerator
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| 213 |
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bbox_coder:
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| 214 |
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target_means:
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| 215 |
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- 0.0
|
| 216 |
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- 0.0
|
| 217 |
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- 0.0
|
| 218 |
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- 0.0
|
| 219 |
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target_stds:
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| 220 |
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- 1.0
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| 221 |
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- 1.0
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| 222 |
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- 1.0
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| 223 |
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- 1.0
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| 224 |
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type: DeltaXYWHBBoxCoder
|
| 225 |
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feat_channels: 256
|
| 226 |
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in_channels: 256
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| 227 |
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loss_bbox:
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| 228 |
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loss_weight: 1.0
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| 229 |
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type: L1Loss
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| 230 |
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loss_cls:
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| 231 |
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loss_weight: 1.0
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| 232 |
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type: CrossEntropyLoss
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| 233 |
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use_sigmoid: true
|
| 234 |
+
type: RPNHead
|
| 235 |
+
test_cfg:
|
| 236 |
+
rcnn:
|
| 237 |
+
max_per_img: 100
|
| 238 |
+
nms:
|
| 239 |
+
iou_threshold: 0.5
|
| 240 |
+
type: nms
|
| 241 |
+
score_thr: 0.05
|
| 242 |
+
rpn:
|
| 243 |
+
max_per_img: 1000
|
| 244 |
+
min_bbox_size: 0
|
| 245 |
+
nms:
|
| 246 |
+
iou_threshold: 0.7
|
| 247 |
+
type: nms
|
| 248 |
+
nms_pre: 1000
|
| 249 |
+
train_cfg:
|
| 250 |
+
rcnn:
|
| 251 |
+
assigner:
|
| 252 |
+
ignore_iof_thr: -1
|
| 253 |
+
match_low_quality: false
|
| 254 |
+
min_pos_iou: 0.5
|
| 255 |
+
neg_iou_thr: 0.5
|
| 256 |
+
pos_iou_thr: 0.5
|
| 257 |
+
type: MaxIoUAssigner
|
| 258 |
+
debug: false
|
| 259 |
+
pos_weight: -1
|
| 260 |
+
sampler:
|
| 261 |
+
add_gt_as_proposals: true
|
| 262 |
+
neg_pos_ub: -1
|
| 263 |
+
num: 512
|
| 264 |
+
pos_fraction: 0.25
|
| 265 |
+
type: RandomSampler
|
| 266 |
+
rpn:
|
| 267 |
+
allowed_border: -1
|
| 268 |
+
assigner:
|
| 269 |
+
ignore_iof_thr: -1
|
| 270 |
+
match_low_quality: true
|
| 271 |
+
min_pos_iou: 0.3
|
| 272 |
+
neg_iou_thr: 0.3
|
| 273 |
+
pos_iou_thr: 0.7
|
| 274 |
+
type: MaxIoUAssigner
|
| 275 |
+
debug: false
|
| 276 |
+
pos_weight: -1
|
| 277 |
+
sampler:
|
| 278 |
+
add_gt_as_proposals: false
|
| 279 |
+
neg_pos_ub: -1
|
| 280 |
+
num: 256
|
| 281 |
+
pos_fraction: 0.5
|
| 282 |
+
type: RandomSampler
|
| 283 |
+
rpn_proposal:
|
| 284 |
+
max_per_img: 1000
|
| 285 |
+
min_bbox_size: 0
|
| 286 |
+
nms:
|
| 287 |
+
iou_threshold: 0.7
|
| 288 |
+
type: nms
|
| 289 |
+
nms_pre: 2000
|
| 290 |
+
type: FasterRCNN
|
| 291 |
+
optimizer:
|
| 292 |
+
lr: 0.02
|
| 293 |
+
momentum: 0.9
|
| 294 |
+
type: SGD
|
| 295 |
+
weight_decay: 0.0001
|
| 296 |
+
optimizer_config:
|
| 297 |
+
grad_clip: null
|
| 298 |
+
resume_from: null
|
| 299 |
+
test_pipeline:
|
| 300 |
+
- type: LoadImageFromFile
|
| 301 |
+
- flip: false
|
| 302 |
+
img_scale: !!python/tuple
|
| 303 |
+
- 1333
|
| 304 |
+
- 800
|
| 305 |
+
transforms:
|
| 306 |
+
- keep_ratio: true
|
| 307 |
+
type: Resize
|
| 308 |
+
- type: RandomFlip
|
| 309 |
+
- mean:
|
| 310 |
+
- 123.675
|
| 311 |
+
- 116.28
|
| 312 |
+
- 103.53
|
| 313 |
+
std:
|
| 314 |
+
- 58.395
|
| 315 |
+
- 57.12
|
| 316 |
+
- 57.375
|
| 317 |
+
to_rgb: true
|
| 318 |
+
type: Normalize
|
| 319 |
+
- size_divisor: 32
|
| 320 |
+
type: Pad
|
| 321 |
+
- type: DefaultFormatBundle
|
| 322 |
+
- keys:
|
| 323 |
+
- img
|
| 324 |
+
type: Collect
|
| 325 |
+
type: MultiScaleFlipAug
|
| 326 |
+
total_epochs: 12
|
| 327 |
+
train_pipeline:
|
| 328 |
+
- type: LoadImageFromFile
|
| 329 |
+
- type: LoadAnnotations
|
| 330 |
+
with_bbox: true
|
| 331 |
+
- img_scale: !!python/tuple
|
| 332 |
+
- 1333
|
| 333 |
+
- 800
|
| 334 |
+
keep_ratio: true
|
| 335 |
+
type: Resize
|
| 336 |
+
- flip_ratio: 0.5
|
| 337 |
+
type: RandomFlip
|
| 338 |
+
- mean:
|
| 339 |
+
- 123.675
|
| 340 |
+
- 116.28
|
| 341 |
+
- 103.53
|
| 342 |
+
std:
|
| 343 |
+
- 58.395
|
| 344 |
+
- 57.12
|
| 345 |
+
- 57.375
|
| 346 |
+
to_rgb: true
|
| 347 |
+
type: Normalize
|
| 348 |
+
- size_divisor: 32
|
| 349 |
+
type: Pad
|
| 350 |
+
- type: DefaultFormatBundle
|
| 351 |
+
- keys:
|
| 352 |
+
- img
|
| 353 |
+
- gt_bboxes
|
| 354 |
+
- gt_labels
|
| 355 |
+
type: Collect
|
| 356 |
+
workflow:
|
| 357 |
+
- !!python/tuple
|
| 358 |
+
- train
|
| 359 |
+
- 1
|
keypose_mmdet_fasterrcnn_x101/README.md
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
Originally from https://github.com/open-mmlab/mmdetection, converted to safetensors, used under Apache-2.0
|
keypose_mmdet_fasterrcnn_x101/faster_rcnn_x101_64x4d_fpn_mstrain_3x_coco.yaml
ADDED
|
@@ -0,0 +1,391 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
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|
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|
|
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|
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|
|
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|
|
|
|
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|
|
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|
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|
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|
|
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|
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|
|
|
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|
|
|
|
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|
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|
|
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|
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|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
auto_scale_lr:
|
| 2 |
+
base_batch_size: 16
|
| 3 |
+
enable: false
|
| 4 |
+
checkpoint_config:
|
| 5 |
+
interval: 1
|
| 6 |
+
custom_hooks:
|
| 7 |
+
- type: NumClassCheckHook
|
| 8 |
+
data:
|
| 9 |
+
samples_per_gpu: 2
|
| 10 |
+
test:
|
| 11 |
+
ann_file: data/coco/annotations/instances_val2017.json
|
| 12 |
+
img_prefix: data/coco/val2017/
|
| 13 |
+
pipeline:
|
| 14 |
+
- type: LoadImageFromFile
|
| 15 |
+
- flip: false
|
| 16 |
+
img_scale: !!python/tuple
|
| 17 |
+
- 1333
|
| 18 |
+
- 800
|
| 19 |
+
transforms:
|
| 20 |
+
- keep_ratio: true
|
| 21 |
+
type: Resize
|
| 22 |
+
- type: RandomFlip
|
| 23 |
+
- mean:
|
| 24 |
+
- 123.675
|
| 25 |
+
- 116.28
|
| 26 |
+
- 103.53
|
| 27 |
+
std:
|
| 28 |
+
- 58.395
|
| 29 |
+
- 57.12
|
| 30 |
+
- 57.375
|
| 31 |
+
to_rgb: true
|
| 32 |
+
type: Normalize
|
| 33 |
+
- size_divisor: 32
|
| 34 |
+
type: Pad
|
| 35 |
+
- keys:
|
| 36 |
+
- img
|
| 37 |
+
type: ImageToTensor
|
| 38 |
+
- keys:
|
| 39 |
+
- img
|
| 40 |
+
type: Collect
|
| 41 |
+
type: MultiScaleFlipAug
|
| 42 |
+
type: CocoDataset
|
| 43 |
+
train:
|
| 44 |
+
dataset:
|
| 45 |
+
ann_file: data/coco/annotations/instances_train2017.json
|
| 46 |
+
img_prefix: data/coco/train2017/
|
| 47 |
+
pipeline:
|
| 48 |
+
- type: LoadImageFromFile
|
| 49 |
+
- type: LoadAnnotations
|
| 50 |
+
with_bbox: true
|
| 51 |
+
- img_scale:
|
| 52 |
+
- !!python/tuple
|
| 53 |
+
- 1333
|
| 54 |
+
- 640
|
| 55 |
+
- !!python/tuple
|
| 56 |
+
- 1333
|
| 57 |
+
- 800
|
| 58 |
+
keep_ratio: true
|
| 59 |
+
multiscale_mode: range
|
| 60 |
+
type: Resize
|
| 61 |
+
- flip_ratio: 0.5
|
| 62 |
+
type: RandomFlip
|
| 63 |
+
- mean:
|
| 64 |
+
- 123.675
|
| 65 |
+
- 116.28
|
| 66 |
+
- 103.53
|
| 67 |
+
std:
|
| 68 |
+
- 58.395
|
| 69 |
+
- 57.12
|
| 70 |
+
- 57.375
|
| 71 |
+
to_rgb: true
|
| 72 |
+
type: Normalize
|
| 73 |
+
- size_divisor: 32
|
| 74 |
+
type: Pad
|
| 75 |
+
- type: DefaultFormatBundle
|
| 76 |
+
- keys:
|
| 77 |
+
- img
|
| 78 |
+
- gt_bboxes
|
| 79 |
+
- gt_labels
|
| 80 |
+
type: Collect
|
| 81 |
+
type: CocoDataset
|
| 82 |
+
times: 3
|
| 83 |
+
type: RepeatDataset
|
| 84 |
+
val:
|
| 85 |
+
ann_file: data/coco/annotations/instances_val2017.json
|
| 86 |
+
img_prefix: data/coco/val2017/
|
| 87 |
+
pipeline:
|
| 88 |
+
- type: LoadImageFromFile
|
| 89 |
+
- flip: false
|
| 90 |
+
img_scale: !!python/tuple
|
| 91 |
+
- 1333
|
| 92 |
+
- 800
|
| 93 |
+
transforms:
|
| 94 |
+
- keep_ratio: true
|
| 95 |
+
type: Resize
|
| 96 |
+
- type: RandomFlip
|
| 97 |
+
- mean:
|
| 98 |
+
- 123.675
|
| 99 |
+
- 116.28
|
| 100 |
+
- 103.53
|
| 101 |
+
std:
|
| 102 |
+
- 58.395
|
| 103 |
+
- 57.12
|
| 104 |
+
- 57.375
|
| 105 |
+
to_rgb: true
|
| 106 |
+
type: Normalize
|
| 107 |
+
- size_divisor: 32
|
| 108 |
+
type: Pad
|
| 109 |
+
- keys:
|
| 110 |
+
- img
|
| 111 |
+
type: ImageToTensor
|
| 112 |
+
- keys:
|
| 113 |
+
- img
|
| 114 |
+
type: Collect
|
| 115 |
+
type: MultiScaleFlipAug
|
| 116 |
+
type: CocoDataset
|
| 117 |
+
workers_per_gpu: 2
|
| 118 |
+
data_root: data/coco/
|
| 119 |
+
dataset_type: CocoDataset
|
| 120 |
+
dist_params:
|
| 121 |
+
backend: nccl
|
| 122 |
+
evaluation:
|
| 123 |
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interval: 1
|
| 124 |
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metric: bbox
|
| 125 |
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img_norm_cfg:
|
| 126 |
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mean:
|
| 127 |
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- 123.675
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| 128 |
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| 129 |
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| 130 |
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std:
|
| 131 |
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- 58.395
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- 57.12
|
| 133 |
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- 57.375
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| 134 |
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to_rgb: true
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| 135 |
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load_from: null
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| 136 |
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log_config:
|
| 137 |
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hooks:
|
| 138 |
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- type: TextLoggerHook
|
| 139 |
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interval: 50
|
| 140 |
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log_level: INFO
|
| 141 |
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lr_config:
|
| 142 |
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policy: step
|
| 143 |
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step:
|
| 144 |
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- 9
|
| 145 |
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- 11
|
| 146 |
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warmup: linear
|
| 147 |
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warmup_iters: 500
|
| 148 |
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warmup_ratio: 0.001
|
| 149 |
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model:
|
| 150 |
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backbone:
|
| 151 |
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base_width: 4
|
| 152 |
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depth: 101
|
| 153 |
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frozen_stages: 1
|
| 154 |
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groups: 64
|
| 155 |
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init_cfg:
|
| 156 |
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checkpoint: open-mmlab://resnext101_64x4d
|
| 157 |
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type: Pretrained
|
| 158 |
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norm_cfg:
|
| 159 |
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requires_grad: true
|
| 160 |
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type: BN
|
| 161 |
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norm_eval: true
|
| 162 |
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num_stages: 4
|
| 163 |
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out_indices: !!python/tuple
|
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| 165 |
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- 1
|
| 166 |
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- 2
|
| 167 |
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- 3
|
| 168 |
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style: pytorch
|
| 169 |
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type: ResNeXt
|
| 170 |
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neck:
|
| 171 |
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in_channels:
|
| 172 |
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- 256
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| 173 |
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- 2048
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| 176 |
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num_outs: 5
|
| 177 |
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out_channels: 256
|
| 178 |
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type: FPN
|
| 179 |
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roi_head:
|
| 180 |
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bbox_head:
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| 181 |
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bbox_coder:
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target_stds:
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| 190 |
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type: DeltaXYWHBBoxCoder
|
| 193 |
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fc_out_channels: 1024
|
| 194 |
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in_channels: 256
|
| 195 |
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loss_bbox:
|
| 196 |
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loss_weight: 1.0
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| 197 |
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type: L1Loss
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| 198 |
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loss_cls:
|
| 199 |
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loss_weight: 1.0
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type: CrossEntropyLoss
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num_classes: 80
|
| 203 |
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reg_class_agnostic: false
|
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roi_feat_size: 7
|
| 205 |
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type: Shared2FCBBoxHead
|
| 206 |
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bbox_roi_extractor:
|
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featmap_strides:
|
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- 4
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- 32
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roi_layer:
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| 214 |
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output_size: 7
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sampling_ratio: 0
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type: RoIAlign
|
| 217 |
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type: SingleRoIExtractor
|
| 218 |
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type: StandardRoIHead
|
| 219 |
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rpn_head:
|
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anchor_generator:
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ratios:
|
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scales:
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type: RPNHead
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test_cfg:
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rcnn:
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max_per_img: 100
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nms:
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iou_threshold: 0.5
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type: nms
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rpn:
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nms:
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type: nms
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nms_pre: 1000
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train_cfg:
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rcnn:
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assigner:
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match_low_quality: false
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type: MaxIoUAssigner
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sampler:
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num: 512
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pos_fraction: 0.25
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type: RandomSampler
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rpn:
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allowed_border: -1
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assigner:
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|
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sampler:
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num: 256
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pos_fraction: 0.5
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type: RandomSampler
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rpn_proposal:
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max_per_img: 1000
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nms:
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iou_threshold: 0.7
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type: nms
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nms_pre: 2000
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type: FasterRCNN
|
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mp_start_method: fork
|
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opencv_num_threads: 0
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optimizer:
|
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lr: 0.02
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momentum: 0.9
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type: SGD
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weight_decay: 0.0001
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grad_clip: null
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resume_from: null
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runner:
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max_epochs: 12
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type: EpochBasedRunner
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test_pipeline:
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img_scale: !!python/tuple
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transforms:
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std:
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to_rgb: true
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- keys:
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- img
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type: MultiScaleFlipAug
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train_pipeline:
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- type: LoadAnnotations
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workflow:
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- !!python/tuple
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keypose_mmdet_fasterrcnn_x101/faster_rcnn_x101_64x4d_fpn_mstrain_3x_coco_20210524_124528-26c63de6.safetensors
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keypose_mmpose_hrnet/README.md
ADDED
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@@ -0,0 +1 @@
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|
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Originally from https://github.com/open-mmlab/mmpose, converted to safetensors, used under Apache-2.0
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keypose_mmpose_hrnet/hrnet_w48_coco_256x192-b9e0b3ab_20200708.safetensors
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|
| 1 |
+
channel_cfg:
|
| 2 |
+
dataset_channel:
|
| 3 |
+
- - 0
|
| 4 |
+
- 1
|
| 5 |
+
- 2
|
| 6 |
+
- 3
|
| 7 |
+
- 4
|
| 8 |
+
- 5
|
| 9 |
+
- 6
|
| 10 |
+
- 7
|
| 11 |
+
- 8
|
| 12 |
+
- 9
|
| 13 |
+
- 10
|
| 14 |
+
- 11
|
| 15 |
+
- 12
|
| 16 |
+
- 13
|
| 17 |
+
- 14
|
| 18 |
+
- 15
|
| 19 |
+
- 16
|
| 20 |
+
dataset_joints: 17
|
| 21 |
+
inference_channel:
|
| 22 |
+
- 0
|
| 23 |
+
- 1
|
| 24 |
+
- 2
|
| 25 |
+
- 3
|
| 26 |
+
- 4
|
| 27 |
+
- 5
|
| 28 |
+
- 6
|
| 29 |
+
- 7
|
| 30 |
+
- 8
|
| 31 |
+
- 9
|
| 32 |
+
- 10
|
| 33 |
+
- 11
|
| 34 |
+
- 12
|
| 35 |
+
- 13
|
| 36 |
+
- 14
|
| 37 |
+
- 15
|
| 38 |
+
- 16
|
| 39 |
+
num_output_channels: 17
|
| 40 |
+
checkpoint_config:
|
| 41 |
+
interval: 10
|
| 42 |
+
data:
|
| 43 |
+
samples_per_gpu: 32
|
| 44 |
+
test:
|
| 45 |
+
ann_file: data/coco/annotations/person_keypoints_val2017.json
|
| 46 |
+
data_cfg:
|
| 47 |
+
bbox_file: data/coco/person_detection_results/COCO_val2017_detections_AP_H_56_person.json
|
| 48 |
+
dataset_channel:
|
| 49 |
+
- - 0
|
| 50 |
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paper_info:
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author: Lin, Tsung-Yi and Maire, Michael and Belongie, Serge and Hays, James
|
| 274 |
+
and Perona, Pietro and Ramanan, Deva and Doll{\'a}r, Piotr and Zitnick,
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C Lawrence
|
| 276 |
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container: European conference on computer vision
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homepage: http://cocodataset.org/
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title: 'Microsoft coco: Common objects in context'
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year: '2014'
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link: !!python/tuple
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link: !!python/tuple
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link: !!python/tuple
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|
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- left_ear
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| 443 |
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| 444 |
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color:
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+
- 51
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link: !!python/tuple
|
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|
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- right_ear
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link: !!python/tuple
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- left_shoulder
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link: !!python/tuple
|
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- right_ear
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- right_shoulder
|
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img_prefix: data/coco/val2017/
|
| 471 |
+
pipeline:
|
| 472 |
+
- type: LoadImageFromFile
|
| 473 |
+
- padding: 1.25
|
| 474 |
+
type: TopDownGetBboxCenterScale
|
| 475 |
+
- type: TopDownAffine
|
| 476 |
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- type: ToTensor
|
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- mean:
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- 0.485
|
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- 0.456
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- 0.406
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std:
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- 0.229
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- 0.224
|
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- 0.225
|
| 485 |
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type: NormalizeTensor
|
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- keys:
|
| 487 |
+
- img
|
| 488 |
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meta_keys:
|
| 489 |
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- image_file
|
| 490 |
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- center
|
| 491 |
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- scale
|
| 492 |
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- rotation
|
| 493 |
+
- bbox_score
|
| 494 |
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- flip_pairs
|
| 495 |
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type: Collect
|
| 496 |
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type: TopDownCocoDataset
|
| 497 |
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test_dataloader:
|
| 498 |
+
samples_per_gpu: 32
|
| 499 |
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train:
|
| 500 |
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ann_file: data/coco/annotations/person_keypoints_train2017.json
|
| 501 |
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data_cfg:
|
| 502 |
+
bbox_file: data/coco/person_detection_results/COCO_val2017_detections_AP_H_56_person.json
|
| 503 |
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dataset_channel:
|
| 504 |
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- - 0
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det_bbox_thr: 0.0
|
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- 64
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nms_thr: 1.0
|
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num_joints: 17
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oks_thr: 0.9
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soft_nms: false
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use_gt_bbox: false
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vis_thr: 0.2
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dataset_name: coco
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name: left_ear
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id: 14
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name: right_knee
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id: 15
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name: left_ankle
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swap: right_ankle
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type: lower
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16:
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color:
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id: 16
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name: right_ankle
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swap: left_ankle
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type: lower
|
| 727 |
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paper_info:
|
| 728 |
+
author: Lin, Tsung-Yi and Maire, Michael and Belongie, Serge and Hays, James
|
| 729 |
+
and Perona, Pietro and Ramanan, Deva and Doll{\'a}r, Piotr and Zitnick,
|
| 730 |
+
C Lawrence
|
| 731 |
+
container: European conference on computer vision
|
| 732 |
+
homepage: http://cocodataset.org/
|
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title: 'Microsoft coco: Common objects in context'
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year: '2014'
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sigmas:
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id: 0
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link: !!python/tuple
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1:
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id: 1
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link: !!python/tuple
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link: !!python/tuple
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id: 4
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link: !!python/tuple
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5:
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id: 5
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link: !!python/tuple
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6:
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id: 6
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link: !!python/tuple
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7:
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link: !!python/tuple
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8:
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link: !!python/tuple
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9:
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link: !!python/tuple
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10:
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- 0
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id: 10
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link: !!python/tuple
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11:
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| 854 |
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color:
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| 855 |
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- 0
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id: 11
|
| 859 |
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link: !!python/tuple
|
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12:
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| 867 |
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id: 12
|
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link: !!python/tuple
|
| 869 |
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13:
|
| 872 |
+
color:
|
| 873 |
+
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- 255
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id: 13
|
| 877 |
+
link: !!python/tuple
|
| 878 |
+
- nose
|
| 879 |
+
- left_eye
|
| 880 |
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14:
|
| 881 |
+
color:
|
| 882 |
+
- 51
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- 255
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id: 14
|
| 886 |
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link: !!python/tuple
|
| 887 |
+
- nose
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| 888 |
+
- right_eye
|
| 889 |
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15:
|
| 890 |
+
color:
|
| 891 |
+
- 51
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| 892 |
+
- 153
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| 893 |
+
- 255
|
| 894 |
+
id: 15
|
| 895 |
+
link: !!python/tuple
|
| 896 |
+
- left_eye
|
| 897 |
+
- left_ear
|
| 898 |
+
16:
|
| 899 |
+
color:
|
| 900 |
+
- 51
|
| 901 |
+
- 153
|
| 902 |
+
- 255
|
| 903 |
+
id: 16
|
| 904 |
+
link: !!python/tuple
|
| 905 |
+
- right_eye
|
| 906 |
+
- right_ear
|
| 907 |
+
17:
|
| 908 |
+
color:
|
| 909 |
+
- 51
|
| 910 |
+
- 153
|
| 911 |
+
- 255
|
| 912 |
+
id: 17
|
| 913 |
+
link: !!python/tuple
|
| 914 |
+
- left_ear
|
| 915 |
+
- left_shoulder
|
| 916 |
+
18:
|
| 917 |
+
color:
|
| 918 |
+
- 51
|
| 919 |
+
- 153
|
| 920 |
+
- 255
|
| 921 |
+
id: 18
|
| 922 |
+
link: !!python/tuple
|
| 923 |
+
- right_ear
|
| 924 |
+
- right_shoulder
|
| 925 |
+
img_prefix: data/coco/train2017/
|
| 926 |
+
pipeline:
|
| 927 |
+
- type: LoadImageFromFile
|
| 928 |
+
- padding: 1.25
|
| 929 |
+
type: TopDownGetBboxCenterScale
|
| 930 |
+
- prob: 0.3
|
| 931 |
+
shift_factor: 0.16
|
| 932 |
+
type: TopDownRandomShiftBboxCenter
|
| 933 |
+
- flip_prob: 0.5
|
| 934 |
+
type: TopDownRandomFlip
|
| 935 |
+
- num_joints_half_body: 8
|
| 936 |
+
prob_half_body: 0.3
|
| 937 |
+
type: TopDownHalfBodyTransform
|
| 938 |
+
- rot_factor: 40
|
| 939 |
+
scale_factor: 0.5
|
| 940 |
+
type: TopDownGetRandomScaleRotation
|
| 941 |
+
- type: TopDownAffine
|
| 942 |
+
- type: ToTensor
|
| 943 |
+
- mean:
|
| 944 |
+
- 0.485
|
| 945 |
+
- 0.456
|
| 946 |
+
- 0.406
|
| 947 |
+
std:
|
| 948 |
+
- 0.229
|
| 949 |
+
- 0.224
|
| 950 |
+
- 0.225
|
| 951 |
+
type: NormalizeTensor
|
| 952 |
+
- sigma: 2
|
| 953 |
+
type: TopDownGenerateTarget
|
| 954 |
+
- keys:
|
| 955 |
+
- img
|
| 956 |
+
- target
|
| 957 |
+
- target_weight
|
| 958 |
+
meta_keys:
|
| 959 |
+
- image_file
|
| 960 |
+
- joints_3d
|
| 961 |
+
- joints_3d_visible
|
| 962 |
+
- center
|
| 963 |
+
- scale
|
| 964 |
+
- rotation
|
| 965 |
+
- bbox_score
|
| 966 |
+
- flip_pairs
|
| 967 |
+
type: Collect
|
| 968 |
+
type: TopDownCocoDataset
|
| 969 |
+
val:
|
| 970 |
+
ann_file: data/coco/annotations/person_keypoints_val2017.json
|
| 971 |
+
data_cfg:
|
| 972 |
+
bbox_file: data/coco/person_detection_results/COCO_val2017_detections_AP_H_56_person.json
|
| 973 |
+
dataset_channel:
|
| 974 |
+
- - 0
|
| 975 |
+
- 1
|
| 976 |
+
- 2
|
| 977 |
+
- 3
|
| 978 |
+
- 4
|
| 979 |
+
- 5
|
| 980 |
+
- 6
|
| 981 |
+
- 7
|
| 982 |
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- 8
|
| 983 |
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|
| 984 |
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- 10
|
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+
- 11
|
| 986 |
+
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|
| 987 |
+
- 13
|
| 988 |
+
- 14
|
| 989 |
+
- 15
|
| 990 |
+
- 16
|
| 991 |
+
det_bbox_thr: 0.0
|
| 992 |
+
heatmap_size:
|
| 993 |
+
- 48
|
| 994 |
+
- 64
|
| 995 |
+
image_size:
|
| 996 |
+
- 192
|
| 997 |
+
- 256
|
| 998 |
+
inference_channel:
|
| 999 |
+
- 0
|
| 1000 |
+
- 1
|
| 1001 |
+
- 2
|
| 1002 |
+
- 3
|
| 1003 |
+
- 4
|
| 1004 |
+
- 5
|
| 1005 |
+
- 6
|
| 1006 |
+
- 7
|
| 1007 |
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- 8
|
| 1008 |
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|
| 1009 |
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|
| 1010 |
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|
| 1011 |
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|
| 1012 |
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|
| 1013 |
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|
| 1014 |
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|
| 1015 |
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- 16
|
| 1016 |
+
nms_thr: 1.0
|
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dataset_name: coco
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type: lower
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paper_info:
|
| 1198 |
+
author: Lin, Tsung-Yi and Maire, Michael and Belongie, Serge and Hays, James
|
| 1199 |
+
and Perona, Pietro and Ramanan, Deva and Doll{\'a}r, Piotr and Zitnick,
|
| 1200 |
+
C Lawrence
|
| 1201 |
+
container: European conference on computer vision
|
| 1202 |
+
homepage: http://cocodataset.org/
|
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title: 'Microsoft coco: Common objects in context'
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year: '2014'
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sigmas:
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link: !!python/tuple
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1:
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link: !!python/tuple
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link: !!python/tuple
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link: !!python/tuple
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link: !!python/tuple
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5:
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6:
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link: !!python/tuple
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9:
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10:
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11:
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|
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link: !!python/tuple
|
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|
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link: !!python/tuple
|
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+
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|
| 1360 |
+
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- 51
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+
- 153
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- 255
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| 1364 |
+
id: 15
|
| 1365 |
+
link: !!python/tuple
|
| 1366 |
+
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|
| 1367 |
+
- left_ear
|
| 1368 |
+
16:
|
| 1369 |
+
color:
|
| 1370 |
+
- 51
|
| 1371 |
+
- 153
|
| 1372 |
+
- 255
|
| 1373 |
+
id: 16
|
| 1374 |
+
link: !!python/tuple
|
| 1375 |
+
- right_eye
|
| 1376 |
+
- right_ear
|
| 1377 |
+
17:
|
| 1378 |
+
color:
|
| 1379 |
+
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|
| 1380 |
+
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|
| 1381 |
+
- 255
|
| 1382 |
+
id: 17
|
| 1383 |
+
link: !!python/tuple
|
| 1384 |
+
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+
- left_shoulder
|
| 1386 |
+
18:
|
| 1387 |
+
color:
|
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+
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|
| 1389 |
+
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+
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|
| 1391 |
+
id: 18
|
| 1392 |
+
link: !!python/tuple
|
| 1393 |
+
- right_ear
|
| 1394 |
+
- right_shoulder
|
| 1395 |
+
img_prefix: data/coco/val2017/
|
| 1396 |
+
pipeline:
|
| 1397 |
+
- type: LoadImageFromFile
|
| 1398 |
+
- padding: 1.25
|
| 1399 |
+
type: TopDownGetBboxCenterScale
|
| 1400 |
+
- type: TopDownAffine
|
| 1401 |
+
- type: ToTensor
|
| 1402 |
+
- mean:
|
| 1403 |
+
- 0.485
|
| 1404 |
+
- 0.456
|
| 1405 |
+
- 0.406
|
| 1406 |
+
std:
|
| 1407 |
+
- 0.229
|
| 1408 |
+
- 0.224
|
| 1409 |
+
- 0.225
|
| 1410 |
+
type: NormalizeTensor
|
| 1411 |
+
- keys:
|
| 1412 |
+
- img
|
| 1413 |
+
meta_keys:
|
| 1414 |
+
- image_file
|
| 1415 |
+
- center
|
| 1416 |
+
- scale
|
| 1417 |
+
- rotation
|
| 1418 |
+
- bbox_score
|
| 1419 |
+
- flip_pairs
|
| 1420 |
+
type: Collect
|
| 1421 |
+
type: TopDownCocoDataset
|
| 1422 |
+
val_dataloader:
|
| 1423 |
+
samples_per_gpu: 32
|
| 1424 |
+
workers_per_gpu: 2
|
| 1425 |
+
data_cfg:
|
| 1426 |
+
bbox_file: data/coco/person_detection_results/COCO_val2017_detections_AP_H_56_person.json
|
| 1427 |
+
dataset_channel:
|
| 1428 |
+
- - 0
|
| 1429 |
+
- 1
|
| 1430 |
+
- 2
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| 1431 |
+
- 3
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+
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+
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|
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+
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|
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+
- 15
|
| 1444 |
+
- 16
|
| 1445 |
+
det_bbox_thr: 0.0
|
| 1446 |
+
heatmap_size:
|
| 1447 |
+
- 48
|
| 1448 |
+
- 64
|
| 1449 |
+
image_size:
|
| 1450 |
+
- 192
|
| 1451 |
+
- 256
|
| 1452 |
+
inference_channel:
|
| 1453 |
+
- 0
|
| 1454 |
+
- 1
|
| 1455 |
+
- 2
|
| 1456 |
+
- 3
|
| 1457 |
+
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|
| 1458 |
+
- 5
|
| 1459 |
+
- 6
|
| 1460 |
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|
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|
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|
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|
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|
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|
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|
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+
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|
| 1469 |
+
- 16
|
| 1470 |
+
nms_thr: 1.0
|
| 1471 |
+
num_joints: 17
|
| 1472 |
+
num_output_channels: 17
|
| 1473 |
+
oks_thr: 0.9
|
| 1474 |
+
soft_nms: false
|
| 1475 |
+
use_gt_bbox: false
|
| 1476 |
+
vis_thr: 0.2
|
| 1477 |
+
data_root: data/coco
|
| 1478 |
+
dataset_info:
|
| 1479 |
+
dataset_name: coco
|
| 1480 |
+
joint_weights:
|
| 1481 |
+
- 1.0
|
| 1482 |
+
- 1.0
|
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keypoint_info:
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name: right_eye
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name: right_hip
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name: right_knee
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type: lower
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color:
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name: left_ankle
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swap: right_ankle
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type: lower
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id: 16
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| 1649 |
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name: right_ankle
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| 1650 |
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swap: left_ankle
|
| 1651 |
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type: lower
|
| 1652 |
+
paper_info:
|
| 1653 |
+
author: Lin, Tsung-Yi and Maire, Michael and Belongie, Serge and Hays, James and
|
| 1654 |
+
Perona, Pietro and Ramanan, Deva and Doll{\'a}r, Piotr and Zitnick, C Lawrence
|
| 1655 |
+
container: European conference on computer vision
|
| 1656 |
+
homepage: http://cocodataset.org/
|
| 1657 |
+
title: 'Microsoft coco: Common objects in context'
|
| 1658 |
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year: '2014'
|
| 1659 |
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sigmas:
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skeleton_info:
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link: !!python/tuple
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link: !!python/tuple
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id: 2
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link: !!python/tuple
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id: 3
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link: !!python/tuple
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id: 4
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link: !!python/tuple
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| 1728 |
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id: 5
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| 1729 |
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link: !!python/tuple
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| 1730 |
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6:
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| 1733 |
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color:
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| 1734 |
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id: 6
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| 1738 |
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link: !!python/tuple
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7:
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| 1746 |
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id: 7
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| 1747 |
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link: !!python/tuple
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| 1748 |
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- left_shoulder
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8:
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| 1751 |
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color:
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| 1752 |
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- 0
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- 0
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| 1755 |
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id: 8
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| 1756 |
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link: !!python/tuple
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9:
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| 1760 |
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color:
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- 255
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| 1764 |
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id: 9
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| 1765 |
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link: !!python/tuple
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| 1766 |
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- right_shoulder
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| 1767 |
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- right_elbow
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| 1768 |
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10:
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| 1769 |
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color:
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| 1770 |
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- 0
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- 0
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| 1773 |
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id: 10
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| 1774 |
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link: !!python/tuple
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| 1775 |
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- left_elbow
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| 1776 |
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- left_wrist
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| 1777 |
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11:
|
| 1778 |
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color:
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| 1779 |
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- 255
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| 1780 |
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| 1781 |
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- 0
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| 1782 |
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id: 11
|
| 1783 |
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link: !!python/tuple
|
| 1784 |
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- right_elbow
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| 1785 |
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- right_wrist
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| 1786 |
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12:
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| 1787 |
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color:
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| 1788 |
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| 1789 |
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| 1790 |
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- 255
|
| 1791 |
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id: 12
|
| 1792 |
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link: !!python/tuple
|
| 1793 |
+
- left_eye
|
| 1794 |
+
- right_eye
|
| 1795 |
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13:
|
| 1796 |
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color:
|
| 1797 |
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- 51
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| 1798 |
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| 1799 |
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- 255
|
| 1800 |
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id: 13
|
| 1801 |
+
link: !!python/tuple
|
| 1802 |
+
- nose
|
| 1803 |
+
- left_eye
|
| 1804 |
+
14:
|
| 1805 |
+
color:
|
| 1806 |
+
- 51
|
| 1807 |
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- 153
|
| 1808 |
+
- 255
|
| 1809 |
+
id: 14
|
| 1810 |
+
link: !!python/tuple
|
| 1811 |
+
- nose
|
| 1812 |
+
- right_eye
|
| 1813 |
+
15:
|
| 1814 |
+
color:
|
| 1815 |
+
- 51
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| 1816 |
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- 153
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| 1817 |
+
- 255
|
| 1818 |
+
id: 15
|
| 1819 |
+
link: !!python/tuple
|
| 1820 |
+
- left_eye
|
| 1821 |
+
- left_ear
|
| 1822 |
+
16:
|
| 1823 |
+
color:
|
| 1824 |
+
- 51
|
| 1825 |
+
- 153
|
| 1826 |
+
- 255
|
| 1827 |
+
id: 16
|
| 1828 |
+
link: !!python/tuple
|
| 1829 |
+
- right_eye
|
| 1830 |
+
- right_ear
|
| 1831 |
+
17:
|
| 1832 |
+
color:
|
| 1833 |
+
- 51
|
| 1834 |
+
- 153
|
| 1835 |
+
- 255
|
| 1836 |
+
id: 17
|
| 1837 |
+
link: !!python/tuple
|
| 1838 |
+
- left_ear
|
| 1839 |
+
- left_shoulder
|
| 1840 |
+
18:
|
| 1841 |
+
color:
|
| 1842 |
+
- 51
|
| 1843 |
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|
| 1844 |
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- 255
|
| 1845 |
+
id: 18
|
| 1846 |
+
link: !!python/tuple
|
| 1847 |
+
- right_ear
|
| 1848 |
+
- right_shoulder
|
| 1849 |
+
dist_params:
|
| 1850 |
+
backend: nccl
|
| 1851 |
+
evaluation:
|
| 1852 |
+
interval: 10
|
| 1853 |
+
metric: mAP
|
| 1854 |
+
save_best: AP
|
| 1855 |
+
load_from: null
|
| 1856 |
+
log_config:
|
| 1857 |
+
hooks:
|
| 1858 |
+
- type: TextLoggerHook
|
| 1859 |
+
interval: 50
|
| 1860 |
+
log_level: INFO
|
| 1861 |
+
lr_config:
|
| 1862 |
+
policy: step
|
| 1863 |
+
step:
|
| 1864 |
+
- 170
|
| 1865 |
+
- 200
|
| 1866 |
+
warmup: linear
|
| 1867 |
+
warmup_iters: 500
|
| 1868 |
+
warmup_ratio: 0.001
|
| 1869 |
+
model:
|
| 1870 |
+
backbone:
|
| 1871 |
+
extra:
|
| 1872 |
+
stage1:
|
| 1873 |
+
block: BOTTLENECK
|
| 1874 |
+
num_blocks: !!python/tuple
|
| 1875 |
+
- 4
|
| 1876 |
+
num_branches: 1
|
| 1877 |
+
num_channels: !!python/tuple
|
| 1878 |
+
- 64
|
| 1879 |
+
num_modules: 1
|
| 1880 |
+
stage2:
|
| 1881 |
+
block: BASIC
|
| 1882 |
+
num_blocks: !!python/tuple
|
| 1883 |
+
- 4
|
| 1884 |
+
- 4
|
| 1885 |
+
num_branches: 2
|
| 1886 |
+
num_channels: !!python/tuple
|
| 1887 |
+
- 48
|
| 1888 |
+
- 96
|
| 1889 |
+
num_modules: 1
|
| 1890 |
+
stage3:
|
| 1891 |
+
block: BASIC
|
| 1892 |
+
num_blocks: !!python/tuple
|
| 1893 |
+
- 4
|
| 1894 |
+
- 4
|
| 1895 |
+
- 4
|
| 1896 |
+
num_branches: 3
|
| 1897 |
+
num_channels: !!python/tuple
|
| 1898 |
+
- 48
|
| 1899 |
+
- 96
|
| 1900 |
+
- 192
|
| 1901 |
+
num_modules: 4
|
| 1902 |
+
stage4:
|
| 1903 |
+
block: BASIC
|
| 1904 |
+
num_blocks: !!python/tuple
|
| 1905 |
+
- 4
|
| 1906 |
+
- 4
|
| 1907 |
+
- 4
|
| 1908 |
+
- 4
|
| 1909 |
+
num_branches: 4
|
| 1910 |
+
num_channels: !!python/tuple
|
| 1911 |
+
- 48
|
| 1912 |
+
- 96
|
| 1913 |
+
- 192
|
| 1914 |
+
- 384
|
| 1915 |
+
num_modules: 3
|
| 1916 |
+
in_channels: 3
|
| 1917 |
+
type: HRNet
|
| 1918 |
+
keypoint_head:
|
| 1919 |
+
extra:
|
| 1920 |
+
final_conv_kernel: 1
|
| 1921 |
+
in_channels: 48
|
| 1922 |
+
loss_keypoint:
|
| 1923 |
+
type: JointsMSELoss
|
| 1924 |
+
use_target_weight: true
|
| 1925 |
+
num_deconv_layers: 0
|
| 1926 |
+
out_channels: 17
|
| 1927 |
+
type: TopdownHeatmapSimpleHead
|
| 1928 |
+
pretrained: https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth
|
| 1929 |
+
test_cfg:
|
| 1930 |
+
flip_test: true
|
| 1931 |
+
modulate_kernel: 11
|
| 1932 |
+
post_process: default
|
| 1933 |
+
shift_heatmap: true
|
| 1934 |
+
train_cfg: {}
|
| 1935 |
+
type: TopDown
|
| 1936 |
+
mp_start_method: fork
|
| 1937 |
+
opencv_num_threads: 0
|
| 1938 |
+
optimizer:
|
| 1939 |
+
lr: 0.0005
|
| 1940 |
+
type: Adam
|
| 1941 |
+
optimizer_config:
|
| 1942 |
+
grad_clip: null
|
| 1943 |
+
resume_from: null
|
| 1944 |
+
test_pipeline:
|
| 1945 |
+
- type: LoadImageFromFile
|
| 1946 |
+
- padding: 1.25
|
| 1947 |
+
type: TopDownGetBboxCenterScale
|
| 1948 |
+
- type: TopDownAffine
|
| 1949 |
+
- type: ToTensor
|
| 1950 |
+
- mean:
|
| 1951 |
+
- 0.485
|
| 1952 |
+
- 0.456
|
| 1953 |
+
- 0.406
|
| 1954 |
+
std:
|
| 1955 |
+
- 0.229
|
| 1956 |
+
- 0.224
|
| 1957 |
+
- 0.225
|
| 1958 |
+
type: NormalizeTensor
|
| 1959 |
+
- keys:
|
| 1960 |
+
- img
|
| 1961 |
+
meta_keys:
|
| 1962 |
+
- image_file
|
| 1963 |
+
- center
|
| 1964 |
+
- scale
|
| 1965 |
+
- rotation
|
| 1966 |
+
- bbox_score
|
| 1967 |
+
- flip_pairs
|
| 1968 |
+
type: Collect
|
| 1969 |
+
total_epochs: 210
|
| 1970 |
+
train_pipeline:
|
| 1971 |
+
- type: LoadImageFromFile
|
| 1972 |
+
- padding: 1.25
|
| 1973 |
+
type: TopDownGetBboxCenterScale
|
| 1974 |
+
- prob: 0.3
|
| 1975 |
+
shift_factor: 0.16
|
| 1976 |
+
type: TopDownRandomShiftBboxCenter
|
| 1977 |
+
- flip_prob: 0.5
|
| 1978 |
+
type: TopDownRandomFlip
|
| 1979 |
+
- num_joints_half_body: 8
|
| 1980 |
+
prob_half_body: 0.3
|
| 1981 |
+
type: TopDownHalfBodyTransform
|
| 1982 |
+
- rot_factor: 40
|
| 1983 |
+
scale_factor: 0.5
|
| 1984 |
+
type: TopDownGetRandomScaleRotation
|
| 1985 |
+
- type: TopDownAffine
|
| 1986 |
+
- type: ToTensor
|
| 1987 |
+
- mean:
|
| 1988 |
+
- 0.485
|
| 1989 |
+
- 0.456
|
| 1990 |
+
- 0.406
|
| 1991 |
+
std:
|
| 1992 |
+
- 0.229
|
| 1993 |
+
- 0.224
|
| 1994 |
+
- 0.225
|
| 1995 |
+
type: NormalizeTensor
|
| 1996 |
+
- sigma: 2
|
| 1997 |
+
type: TopDownGenerateTarget
|
| 1998 |
+
- keys:
|
| 1999 |
+
- img
|
| 2000 |
+
- target
|
| 2001 |
+
- target_weight
|
| 2002 |
+
meta_keys:
|
| 2003 |
+
- image_file
|
| 2004 |
+
- joints_3d
|
| 2005 |
+
- joints_3d_visible
|
| 2006 |
+
- center
|
| 2007 |
+
- scale
|
| 2008 |
+
- rotation
|
| 2009 |
+
- bbox_score
|
| 2010 |
+
- flip_pairs
|
| 2011 |
+
type: Collect
|
| 2012 |
+
val_pipeline:
|
| 2013 |
+
- type: LoadImageFromFile
|
| 2014 |
+
- padding: 1.25
|
| 2015 |
+
type: TopDownGetBboxCenterScale
|
| 2016 |
+
- type: TopDownAffine
|
| 2017 |
+
- type: ToTensor
|
| 2018 |
+
- mean:
|
| 2019 |
+
- 0.485
|
| 2020 |
+
- 0.456
|
| 2021 |
+
- 0.406
|
| 2022 |
+
std:
|
| 2023 |
+
- 0.229
|
| 2024 |
+
- 0.224
|
| 2025 |
+
- 0.225
|
| 2026 |
+
type: NormalizeTensor
|
| 2027 |
+
- keys:
|
| 2028 |
+
- img
|
| 2029 |
+
meta_keys:
|
| 2030 |
+
- image_file
|
| 2031 |
+
- center
|
| 2032 |
+
- scale
|
| 2033 |
+
- rotation
|
| 2034 |
+
- bbox_score
|
| 2035 |
+
- flip_pairs
|
| 2036 |
+
type: Collect
|
| 2037 |
+
workflow:
|
| 2038 |
+
- !!python/tuple
|
| 2039 |
+
- train
|
| 2040 |
+
- 1
|
keypose_mmpose_hrnet_384/README.md
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
Originally from https://github.com/open-mmlab/mmpose, converted to safetensors, used under Apache-2.0
|
keypose_mmpose_hrnet_384/hrnet_w48_coco_384x288-314c8528_20200708.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ecbf76bc185c98ce8d76b782ee818e051a0247b08de9397f2686e5fc4918d176
|
| 3 |
+
size 254911106
|
keypose_mmpose_hrnet_384/hrnet_w48_coco_384x288.yaml
ADDED
|
@@ -0,0 +1,2040 @@
|
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|
| 1 |
+
channel_cfg:
|
| 2 |
+
dataset_channel:
|
| 3 |
+
- - 0
|
| 4 |
+
- 1
|
| 5 |
+
- 2
|
| 6 |
+
- 3
|
| 7 |
+
- 4
|
| 8 |
+
- 5
|
| 9 |
+
- 6
|
| 10 |
+
- 7
|
| 11 |
+
- 8
|
| 12 |
+
- 9
|
| 13 |
+
- 10
|
| 14 |
+
- 11
|
| 15 |
+
- 12
|
| 16 |
+
- 13
|
| 17 |
+
- 14
|
| 18 |
+
- 15
|
| 19 |
+
- 16
|
| 20 |
+
dataset_joints: 17
|
| 21 |
+
inference_channel:
|
| 22 |
+
- 0
|
| 23 |
+
- 1
|
| 24 |
+
- 2
|
| 25 |
+
- 3
|
| 26 |
+
- 4
|
| 27 |
+
- 5
|
| 28 |
+
- 6
|
| 29 |
+
- 7
|
| 30 |
+
- 8
|
| 31 |
+
- 9
|
| 32 |
+
- 10
|
| 33 |
+
- 11
|
| 34 |
+
- 12
|
| 35 |
+
- 13
|
| 36 |
+
- 14
|
| 37 |
+
- 15
|
| 38 |
+
- 16
|
| 39 |
+
num_output_channels: 17
|
| 40 |
+
checkpoint_config:
|
| 41 |
+
interval: 10
|
| 42 |
+
data:
|
| 43 |
+
samples_per_gpu: 32
|
| 44 |
+
test:
|
| 45 |
+
ann_file: data/coco/annotations/person_keypoints_val2017.json
|
| 46 |
+
data_cfg:
|
| 47 |
+
bbox_file: data/coco/person_detection_results/COCO_val2017_detections_AP_H_56_person.json
|
| 48 |
+
dataset_channel:
|
| 49 |
+
- - 0
|
| 50 |
+
- 1
|
| 51 |
+
- 2
|
| 52 |
+
- 3
|
| 53 |
+
- 4
|
| 54 |
+
- 5
|
| 55 |
+
- 6
|
| 56 |
+
- 7
|
| 57 |
+
- 8
|
| 58 |
+
- 9
|
| 59 |
+
- 10
|
| 60 |
+
- 11
|
| 61 |
+
- 12
|
| 62 |
+
- 13
|
| 63 |
+
- 14
|
| 64 |
+
- 15
|
| 65 |
+
- 16
|
| 66 |
+
det_bbox_thr: 0.0
|
| 67 |
+
heatmap_size:
|
| 68 |
+
- 72
|
| 69 |
+
- 96
|
| 70 |
+
image_size:
|
| 71 |
+
- 288
|
| 72 |
+
- 384
|
| 73 |
+
inference_channel:
|
| 74 |
+
- 0
|
| 75 |
+
- 1
|
| 76 |
+
- 2
|
| 77 |
+
- 3
|
| 78 |
+
- 4
|
| 79 |
+
- 5
|
| 80 |
+
- 6
|
| 81 |
+
- 7
|
| 82 |
+
- 8
|
| 83 |
+
- 9
|
| 84 |
+
- 10
|
| 85 |
+
- 11
|
| 86 |
+
- 12
|
| 87 |
+
- 13
|
| 88 |
+
- 14
|
| 89 |
+
- 15
|
| 90 |
+
- 16
|
| 91 |
+
nms_thr: 1.0
|
| 92 |
+
num_joints: 17
|
| 93 |
+
num_output_channels: 17
|
| 94 |
+
oks_thr: 0.9
|
| 95 |
+
soft_nms: false
|
| 96 |
+
use_gt_bbox: false
|
| 97 |
+
vis_thr: 0.2
|
| 98 |
+
dataset_info:
|
| 99 |
+
dataset_name: coco
|
| 100 |
+
joint_weights:
|
| 101 |
+
- 1.0
|
| 102 |
+
- 1.0
|
| 103 |
+
- 1.0
|
| 104 |
+
- 1.0
|
| 105 |
+
- 1.0
|
| 106 |
+
- 1.0
|
| 107 |
+
- 1.0
|
| 108 |
+
- 1.2
|
| 109 |
+
- 1.2
|
| 110 |
+
- 1.5
|
| 111 |
+
- 1.5
|
| 112 |
+
- 1.0
|
| 113 |
+
- 1.0
|
| 114 |
+
- 1.2
|
| 115 |
+
- 1.2
|
| 116 |
+
- 1.5
|
| 117 |
+
- 1.5
|
| 118 |
+
keypoint_info:
|
| 119 |
+
0:
|
| 120 |
+
color:
|
| 121 |
+
- 51
|
| 122 |
+
- 153
|
| 123 |
+
- 255
|
| 124 |
+
id: 0
|
| 125 |
+
name: nose
|
| 126 |
+
swap: ''
|
| 127 |
+
type: upper
|
| 128 |
+
1:
|
| 129 |
+
color:
|
| 130 |
+
- 51
|
| 131 |
+
- 153
|
| 132 |
+
- 255
|
| 133 |
+
id: 1
|
| 134 |
+
name: left_eye
|
| 135 |
+
swap: right_eye
|
| 136 |
+
type: upper
|
| 137 |
+
2:
|
| 138 |
+
color:
|
| 139 |
+
- 51
|
| 140 |
+
- 153
|
| 141 |
+
- 255
|
| 142 |
+
id: 2
|
| 143 |
+
name: right_eye
|
| 144 |
+
swap: left_eye
|
| 145 |
+
type: upper
|
| 146 |
+
3:
|
| 147 |
+
color:
|
| 148 |
+
- 51
|
| 149 |
+
- 153
|
| 150 |
+
- 255
|
| 151 |
+
id: 3
|
| 152 |
+
name: left_ear
|
| 153 |
+
swap: right_ear
|
| 154 |
+
type: upper
|
| 155 |
+
4:
|
| 156 |
+
color:
|
| 157 |
+
- 51
|
| 158 |
+
- 153
|
| 159 |
+
- 255
|
| 160 |
+
id: 4
|
| 161 |
+
name: right_ear
|
| 162 |
+
swap: left_ear
|
| 163 |
+
type: upper
|
| 164 |
+
5:
|
| 165 |
+
color:
|
| 166 |
+
- 0
|
| 167 |
+
- 255
|
| 168 |
+
- 0
|
| 169 |
+
id: 5
|
| 170 |
+
name: left_shoulder
|
| 171 |
+
swap: right_shoulder
|
| 172 |
+
type: upper
|
| 173 |
+
6:
|
| 174 |
+
color:
|
| 175 |
+
- 255
|
| 176 |
+
- 128
|
| 177 |
+
- 0
|
| 178 |
+
id: 6
|
| 179 |
+
name: right_shoulder
|
| 180 |
+
swap: left_shoulder
|
| 181 |
+
type: upper
|
| 182 |
+
7:
|
| 183 |
+
color:
|
| 184 |
+
- 0
|
| 185 |
+
- 255
|
| 186 |
+
- 0
|
| 187 |
+
id: 7
|
| 188 |
+
name: left_elbow
|
| 189 |
+
swap: right_elbow
|
| 190 |
+
type: upper
|
| 191 |
+
8:
|
| 192 |
+
color:
|
| 193 |
+
- 255
|
| 194 |
+
- 128
|
| 195 |
+
- 0
|
| 196 |
+
id: 8
|
| 197 |
+
name: right_elbow
|
| 198 |
+
swap: left_elbow
|
| 199 |
+
type: upper
|
| 200 |
+
9:
|
| 201 |
+
color:
|
| 202 |
+
- 0
|
| 203 |
+
- 255
|
| 204 |
+
- 0
|
| 205 |
+
id: 9
|
| 206 |
+
name: left_wrist
|
| 207 |
+
swap: right_wrist
|
| 208 |
+
type: upper
|
| 209 |
+
10:
|
| 210 |
+
color:
|
| 211 |
+
- 255
|
| 212 |
+
- 128
|
| 213 |
+
- 0
|
| 214 |
+
id: 10
|
| 215 |
+
name: right_wrist
|
| 216 |
+
swap: left_wrist
|
| 217 |
+
type: upper
|
| 218 |
+
11:
|
| 219 |
+
color:
|
| 220 |
+
- 0
|
| 221 |
+
- 255
|
| 222 |
+
- 0
|
| 223 |
+
id: 11
|
| 224 |
+
name: left_hip
|
| 225 |
+
swap: right_hip
|
| 226 |
+
type: lower
|
| 227 |
+
12:
|
| 228 |
+
color:
|
| 229 |
+
- 255
|
| 230 |
+
- 128
|
| 231 |
+
- 0
|
| 232 |
+
id: 12
|
| 233 |
+
name: right_hip
|
| 234 |
+
swap: left_hip
|
| 235 |
+
type: lower
|
| 236 |
+
13:
|
| 237 |
+
color:
|
| 238 |
+
- 0
|
| 239 |
+
- 255
|
| 240 |
+
- 0
|
| 241 |
+
id: 13
|
| 242 |
+
name: left_knee
|
| 243 |
+
swap: right_knee
|
| 244 |
+
type: lower
|
| 245 |
+
14:
|
| 246 |
+
color:
|
| 247 |
+
- 255
|
| 248 |
+
- 128
|
| 249 |
+
- 0
|
| 250 |
+
id: 14
|
| 251 |
+
name: right_knee
|
| 252 |
+
swap: left_knee
|
| 253 |
+
type: lower
|
| 254 |
+
15:
|
| 255 |
+
color:
|
| 256 |
+
- 0
|
| 257 |
+
- 255
|
| 258 |
+
- 0
|
| 259 |
+
id: 15
|
| 260 |
+
name: left_ankle
|
| 261 |
+
swap: right_ankle
|
| 262 |
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type: lower
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paper_info:
|
| 273 |
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author: Lin, Tsung-Yi and Maire, Michael and Belongie, Serge and Hays, James
|
| 274 |
+
and Perona, Pietro and Ramanan, Deva and Doll{\'a}r, Piotr and Zitnick,
|
| 275 |
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C Lawrence
|
| 276 |
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container: European conference on computer vision
|
| 277 |
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homepage: http://cocodataset.org/
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title: 'Microsoft coco: Common objects in context'
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link: !!python/tuple
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15:
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id: 15
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link: !!python/tuple
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- left_ear
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| 443 |
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16:
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| 444 |
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color:
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id: 16
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link: !!python/tuple
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- right_eye
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- right_ear
|
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id: 17
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| 458 |
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link: !!python/tuple
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| 459 |
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- left_ear
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- left_shoulder
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| 461 |
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18:
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| 462 |
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id: 18
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| 467 |
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link: !!python/tuple
|
| 468 |
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- right_ear
|
| 469 |
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- right_shoulder
|
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img_prefix: data/coco/val2017/
|
| 471 |
+
pipeline:
|
| 472 |
+
- type: LoadImageFromFile
|
| 473 |
+
- padding: 1.25
|
| 474 |
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type: TopDownGetBboxCenterScale
|
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- type: TopDownAffine
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- type: ToTensor
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type: NormalizeTensor
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- keys:
|
| 487 |
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- img
|
| 488 |
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meta_keys:
|
| 489 |
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- image_file
|
| 490 |
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- center
|
| 491 |
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|
| 492 |
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- rotation
|
| 493 |
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- bbox_score
|
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|
| 495 |
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type: Collect
|
| 496 |
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type: TopDownCocoDataset
|
| 497 |
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test_dataloader:
|
| 498 |
+
samples_per_gpu: 32
|
| 499 |
+
train:
|
| 500 |
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ann_file: data/coco/annotations/person_keypoints_train2017.json
|
| 501 |
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data_cfg:
|
| 502 |
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bbox_file: data/coco/person_detection_results/COCO_val2017_detections_AP_H_56_person.json
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dataset_channel:
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- - 0
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oks_thr: 0.9
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soft_nms: false
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use_gt_bbox: false
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vis_thr: 0.2
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dataset_name: coco
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type: lower
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paper_info:
|
| 728 |
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author: Lin, Tsung-Yi and Maire, Michael and Belongie, Serge and Hays, James
|
| 729 |
+
and Perona, Pietro and Ramanan, Deva and Doll{\'a}r, Piotr and Zitnick,
|
| 730 |
+
C Lawrence
|
| 731 |
+
container: European conference on computer vision
|
| 732 |
+
homepage: http://cocodataset.org/
|
| 733 |
+
title: 'Microsoft coco: Common objects in context'
|
| 734 |
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year: '2014'
|
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sigmas:
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link: !!python/tuple
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15:
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link: !!python/tuple
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16:
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link: !!python/tuple
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17:
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link: !!python/tuple
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18:
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| 922 |
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link: !!python/tuple
|
| 923 |
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- right_ear
|
| 924 |
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- right_shoulder
|
| 925 |
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img_prefix: data/coco/train2017/
|
| 926 |
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pipeline:
|
| 927 |
+
- type: LoadImageFromFile
|
| 928 |
+
- padding: 1.25
|
| 929 |
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type: TopDownGetBboxCenterScale
|
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|
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shift_factor: 0.16
|
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type: TopDownRandomShiftBboxCenter
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type: TopDownRandomFlip
|
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- num_joints_half_body: 8
|
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prob_half_body: 0.3
|
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type: TopDownHalfBodyTransform
|
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- rot_factor: 40
|
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scale_factor: 0.5
|
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type: TopDownGetRandomScaleRotation
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- type: TopDownAffine
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- type: ToTensor
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- mean:
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- 0.485
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- 0.456
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- 0.406
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std:
|
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- 0.229
|
| 949 |
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- 0.224
|
| 950 |
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- 0.225
|
| 951 |
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type: NormalizeTensor
|
| 952 |
+
- sigma: 3
|
| 953 |
+
type: TopDownGenerateTarget
|
| 954 |
+
- keys:
|
| 955 |
+
- img
|
| 956 |
+
- target
|
| 957 |
+
- target_weight
|
| 958 |
+
meta_keys:
|
| 959 |
+
- image_file
|
| 960 |
+
- joints_3d
|
| 961 |
+
- joints_3d_visible
|
| 962 |
+
- center
|
| 963 |
+
- scale
|
| 964 |
+
- rotation
|
| 965 |
+
- bbox_score
|
| 966 |
+
- flip_pairs
|
| 967 |
+
type: Collect
|
| 968 |
+
type: TopDownCocoDataset
|
| 969 |
+
val:
|
| 970 |
+
ann_file: data/coco/annotations/person_keypoints_val2017.json
|
| 971 |
+
data_cfg:
|
| 972 |
+
bbox_file: data/coco/person_detection_results/COCO_val2017_detections_AP_H_56_person.json
|
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+
dataset_channel:
|
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- - 0
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det_bbox_thr: 0.0
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heatmap_size:
|
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- 72
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image_size:
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inference_channel:
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nms_thr: 1.0
|
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num_joints: 17
|
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num_output_channels: 17
|
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oks_thr: 0.9
|
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+
soft_nms: false
|
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use_gt_bbox: false
|
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vis_thr: 0.2
|
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dataset_info:
|
| 1024 |
+
dataset_name: coco
|
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joint_weights:
|
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keypoint_info:
|
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0:
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color:
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id: 0
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name: nose
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swap: ''
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type: upper
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1:
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color:
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id: 1
|
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name: left_eye
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swap: right_eye
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type: upper
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2:
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color:
|
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|
| 1067 |
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id: 2
|
| 1068 |
+
name: right_eye
|
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swap: left_eye
|
| 1070 |
+
type: upper
|
| 1071 |
+
3:
|
| 1072 |
+
color:
|
| 1073 |
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- 51
|
| 1074 |
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- 255
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| 1076 |
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id: 3
|
| 1077 |
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name: left_ear
|
| 1078 |
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swap: right_ear
|
| 1079 |
+
type: upper
|
| 1080 |
+
4:
|
| 1081 |
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color:
|
| 1082 |
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- 51
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| 1083 |
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- 153
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| 1084 |
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- 255
|
| 1085 |
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id: 4
|
| 1086 |
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name: right_ear
|
| 1087 |
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swap: left_ear
|
| 1088 |
+
type: upper
|
| 1089 |
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5:
|
| 1090 |
+
color:
|
| 1091 |
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- 0
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| 1092 |
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- 255
|
| 1093 |
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- 0
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| 1094 |
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id: 5
|
| 1095 |
+
name: left_shoulder
|
| 1096 |
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swap: right_shoulder
|
| 1097 |
+
type: upper
|
| 1098 |
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6:
|
| 1099 |
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color:
|
| 1100 |
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- 255
|
| 1101 |
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- 128
|
| 1102 |
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- 0
|
| 1103 |
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id: 6
|
| 1104 |
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name: right_shoulder
|
| 1105 |
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swap: left_shoulder
|
| 1106 |
+
type: upper
|
| 1107 |
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7:
|
| 1108 |
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color:
|
| 1109 |
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- 0
|
| 1110 |
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- 255
|
| 1111 |
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- 0
|
| 1112 |
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id: 7
|
| 1113 |
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name: left_elbow
|
| 1114 |
+
swap: right_elbow
|
| 1115 |
+
type: upper
|
| 1116 |
+
8:
|
| 1117 |
+
color:
|
| 1118 |
+
- 255
|
| 1119 |
+
- 128
|
| 1120 |
+
- 0
|
| 1121 |
+
id: 8
|
| 1122 |
+
name: right_elbow
|
| 1123 |
+
swap: left_elbow
|
| 1124 |
+
type: upper
|
| 1125 |
+
9:
|
| 1126 |
+
color:
|
| 1127 |
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- 0
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| 1128 |
+
- 255
|
| 1129 |
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- 0
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| 1130 |
+
id: 9
|
| 1131 |
+
name: left_wrist
|
| 1132 |
+
swap: right_wrist
|
| 1133 |
+
type: upper
|
| 1134 |
+
10:
|
| 1135 |
+
color:
|
| 1136 |
+
- 255
|
| 1137 |
+
- 128
|
| 1138 |
+
- 0
|
| 1139 |
+
id: 10
|
| 1140 |
+
name: right_wrist
|
| 1141 |
+
swap: left_wrist
|
| 1142 |
+
type: upper
|
| 1143 |
+
11:
|
| 1144 |
+
color:
|
| 1145 |
+
- 0
|
| 1146 |
+
- 255
|
| 1147 |
+
- 0
|
| 1148 |
+
id: 11
|
| 1149 |
+
name: left_hip
|
| 1150 |
+
swap: right_hip
|
| 1151 |
+
type: lower
|
| 1152 |
+
12:
|
| 1153 |
+
color:
|
| 1154 |
+
- 255
|
| 1155 |
+
- 128
|
| 1156 |
+
- 0
|
| 1157 |
+
id: 12
|
| 1158 |
+
name: right_hip
|
| 1159 |
+
swap: left_hip
|
| 1160 |
+
type: lower
|
| 1161 |
+
13:
|
| 1162 |
+
color:
|
| 1163 |
+
- 0
|
| 1164 |
+
- 255
|
| 1165 |
+
- 0
|
| 1166 |
+
id: 13
|
| 1167 |
+
name: left_knee
|
| 1168 |
+
swap: right_knee
|
| 1169 |
+
type: lower
|
| 1170 |
+
14:
|
| 1171 |
+
color:
|
| 1172 |
+
- 255
|
| 1173 |
+
- 128
|
| 1174 |
+
- 0
|
| 1175 |
+
id: 14
|
| 1176 |
+
name: right_knee
|
| 1177 |
+
swap: left_knee
|
| 1178 |
+
type: lower
|
| 1179 |
+
15:
|
| 1180 |
+
color:
|
| 1181 |
+
- 0
|
| 1182 |
+
- 255
|
| 1183 |
+
- 0
|
| 1184 |
+
id: 15
|
| 1185 |
+
name: left_ankle
|
| 1186 |
+
swap: right_ankle
|
| 1187 |
+
type: lower
|
| 1188 |
+
16:
|
| 1189 |
+
color:
|
| 1190 |
+
- 255
|
| 1191 |
+
- 128
|
| 1192 |
+
- 0
|
| 1193 |
+
id: 16
|
| 1194 |
+
name: right_ankle
|
| 1195 |
+
swap: left_ankle
|
| 1196 |
+
type: lower
|
| 1197 |
+
paper_info:
|
| 1198 |
+
author: Lin, Tsung-Yi and Maire, Michael and Belongie, Serge and Hays, James
|
| 1199 |
+
and Perona, Pietro and Ramanan, Deva and Doll{\'a}r, Piotr and Zitnick,
|
| 1200 |
+
C Lawrence
|
| 1201 |
+
container: European conference on computer vision
|
| 1202 |
+
homepage: http://cocodataset.org/
|
| 1203 |
+
title: 'Microsoft coco: Common objects in context'
|
| 1204 |
+
year: '2014'
|
| 1205 |
+
sigmas:
|
| 1206 |
+
- 0.026
|
| 1207 |
+
- 0.025
|
| 1208 |
+
- 0.025
|
| 1209 |
+
- 0.035
|
| 1210 |
+
- 0.035
|
| 1211 |
+
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pipeline:
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- type: LoadImageFromFile
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- padding: 1.25
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type: TopDownGetBboxCenterScale
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- type: TopDownAffine
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std:
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type: NormalizeTensor
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- keys:
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- img
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meta_keys:
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- image_file
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- center
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| 1418 |
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type: Collect
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type: TopDownCocoDataset
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val_dataloader:
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samples_per_gpu: 32
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workers_per_gpu: 2
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data_cfg:
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bbox_file: data/coco/person_detection_results/COCO_val2017_detections_AP_H_56_person.json
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det_bbox_thr: 0.0
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heatmap_size:
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image_size:
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nms_thr: 1.0
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num_joints: 17
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num_output_channels: 17
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oks_thr: 0.9
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soft_nms: false
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use_gt_bbox: false
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vis_thr: 0.2
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data_root: data/coco
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dataset_info:
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dataset_name: coco
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| 1604 |
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name: left_hip
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swap: right_hip
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type: lower
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| 1607 |
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| 1609 |
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name: right_hip
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swap: left_hip
|
| 1615 |
+
type: lower
|
| 1616 |
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|
| 1617 |
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|
| 1618 |
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id: 13
|
| 1622 |
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name: left_knee
|
| 1623 |
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swap: right_knee
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| 1624 |
+
type: lower
|
| 1625 |
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14:
|
| 1626 |
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color:
|
| 1627 |
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- 255
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id: 14
|
| 1631 |
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name: right_knee
|
| 1632 |
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swap: left_knee
|
| 1633 |
+
type: lower
|
| 1634 |
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15:
|
| 1635 |
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color:
|
| 1636 |
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id: 15
|
| 1640 |
+
name: left_ankle
|
| 1641 |
+
swap: right_ankle
|
| 1642 |
+
type: lower
|
| 1643 |
+
16:
|
| 1644 |
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color:
|
| 1645 |
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- 255
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| 1646 |
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id: 16
|
| 1649 |
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name: right_ankle
|
| 1650 |
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swap: left_ankle
|
| 1651 |
+
type: lower
|
| 1652 |
+
paper_info:
|
| 1653 |
+
author: Lin, Tsung-Yi and Maire, Michael and Belongie, Serge and Hays, James and
|
| 1654 |
+
Perona, Pietro and Ramanan, Deva and Doll{\'a}r, Piotr and Zitnick, C Lawrence
|
| 1655 |
+
container: European conference on computer vision
|
| 1656 |
+
homepage: http://cocodataset.org/
|
| 1657 |
+
title: 'Microsoft coco: Common objects in context'
|
| 1658 |
+
year: '2014'
|
| 1659 |
+
sigmas:
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| 1660 |
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- 0.026
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0:
|
| 1679 |
+
color:
|
| 1680 |
+
- 0
|
| 1681 |
+
- 255
|
| 1682 |
+
- 0
|
| 1683 |
+
id: 0
|
| 1684 |
+
link: !!python/tuple
|
| 1685 |
+
- left_ankle
|
| 1686 |
+
- left_knee
|
| 1687 |
+
1:
|
| 1688 |
+
color:
|
| 1689 |
+
- 0
|
| 1690 |
+
- 255
|
| 1691 |
+
- 0
|
| 1692 |
+
id: 1
|
| 1693 |
+
link: !!python/tuple
|
| 1694 |
+
- left_knee
|
| 1695 |
+
- left_hip
|
| 1696 |
+
2:
|
| 1697 |
+
color:
|
| 1698 |
+
- 255
|
| 1699 |
+
- 128
|
| 1700 |
+
- 0
|
| 1701 |
+
id: 2
|
| 1702 |
+
link: !!python/tuple
|
| 1703 |
+
- right_ankle
|
| 1704 |
+
- right_knee
|
| 1705 |
+
3:
|
| 1706 |
+
color:
|
| 1707 |
+
- 255
|
| 1708 |
+
- 128
|
| 1709 |
+
- 0
|
| 1710 |
+
id: 3
|
| 1711 |
+
link: !!python/tuple
|
| 1712 |
+
- right_knee
|
| 1713 |
+
- right_hip
|
| 1714 |
+
4:
|
| 1715 |
+
color:
|
| 1716 |
+
- 51
|
| 1717 |
+
- 153
|
| 1718 |
+
- 255
|
| 1719 |
+
id: 4
|
| 1720 |
+
link: !!python/tuple
|
| 1721 |
+
- left_hip
|
| 1722 |
+
- right_hip
|
| 1723 |
+
5:
|
| 1724 |
+
color:
|
| 1725 |
+
- 51
|
| 1726 |
+
- 153
|
| 1727 |
+
- 255
|
| 1728 |
+
id: 5
|
| 1729 |
+
link: !!python/tuple
|
| 1730 |
+
- left_shoulder
|
| 1731 |
+
- left_hip
|
| 1732 |
+
6:
|
| 1733 |
+
color:
|
| 1734 |
+
- 51
|
| 1735 |
+
- 153
|
| 1736 |
+
- 255
|
| 1737 |
+
id: 6
|
| 1738 |
+
link: !!python/tuple
|
| 1739 |
+
- right_shoulder
|
| 1740 |
+
- right_hip
|
| 1741 |
+
7:
|
| 1742 |
+
color:
|
| 1743 |
+
- 51
|
| 1744 |
+
- 153
|
| 1745 |
+
- 255
|
| 1746 |
+
id: 7
|
| 1747 |
+
link: !!python/tuple
|
| 1748 |
+
- left_shoulder
|
| 1749 |
+
- right_shoulder
|
| 1750 |
+
8:
|
| 1751 |
+
color:
|
| 1752 |
+
- 0
|
| 1753 |
+
- 255
|
| 1754 |
+
- 0
|
| 1755 |
+
id: 8
|
| 1756 |
+
link: !!python/tuple
|
| 1757 |
+
- left_shoulder
|
| 1758 |
+
- left_elbow
|
| 1759 |
+
9:
|
| 1760 |
+
color:
|
| 1761 |
+
- 255
|
| 1762 |
+
- 128
|
| 1763 |
+
- 0
|
| 1764 |
+
id: 9
|
| 1765 |
+
link: !!python/tuple
|
| 1766 |
+
- right_shoulder
|
| 1767 |
+
- right_elbow
|
| 1768 |
+
10:
|
| 1769 |
+
color:
|
| 1770 |
+
- 0
|
| 1771 |
+
- 255
|
| 1772 |
+
- 0
|
| 1773 |
+
id: 10
|
| 1774 |
+
link: !!python/tuple
|
| 1775 |
+
- left_elbow
|
| 1776 |
+
- left_wrist
|
| 1777 |
+
11:
|
| 1778 |
+
color:
|
| 1779 |
+
- 255
|
| 1780 |
+
- 128
|
| 1781 |
+
- 0
|
| 1782 |
+
id: 11
|
| 1783 |
+
link: !!python/tuple
|
| 1784 |
+
- right_elbow
|
| 1785 |
+
- right_wrist
|
| 1786 |
+
12:
|
| 1787 |
+
color:
|
| 1788 |
+
- 51
|
| 1789 |
+
- 153
|
| 1790 |
+
- 255
|
| 1791 |
+
id: 12
|
| 1792 |
+
link: !!python/tuple
|
| 1793 |
+
- left_eye
|
| 1794 |
+
- right_eye
|
| 1795 |
+
13:
|
| 1796 |
+
color:
|
| 1797 |
+
- 51
|
| 1798 |
+
- 153
|
| 1799 |
+
- 255
|
| 1800 |
+
id: 13
|
| 1801 |
+
link: !!python/tuple
|
| 1802 |
+
- nose
|
| 1803 |
+
- left_eye
|
| 1804 |
+
14:
|
| 1805 |
+
color:
|
| 1806 |
+
- 51
|
| 1807 |
+
- 153
|
| 1808 |
+
- 255
|
| 1809 |
+
id: 14
|
| 1810 |
+
link: !!python/tuple
|
| 1811 |
+
- nose
|
| 1812 |
+
- right_eye
|
| 1813 |
+
15:
|
| 1814 |
+
color:
|
| 1815 |
+
- 51
|
| 1816 |
+
- 153
|
| 1817 |
+
- 255
|
| 1818 |
+
id: 15
|
| 1819 |
+
link: !!python/tuple
|
| 1820 |
+
- left_eye
|
| 1821 |
+
- left_ear
|
| 1822 |
+
16:
|
| 1823 |
+
color:
|
| 1824 |
+
- 51
|
| 1825 |
+
- 153
|
| 1826 |
+
- 255
|
| 1827 |
+
id: 16
|
| 1828 |
+
link: !!python/tuple
|
| 1829 |
+
- right_eye
|
| 1830 |
+
- right_ear
|
| 1831 |
+
17:
|
| 1832 |
+
color:
|
| 1833 |
+
- 51
|
| 1834 |
+
- 153
|
| 1835 |
+
- 255
|
| 1836 |
+
id: 17
|
| 1837 |
+
link: !!python/tuple
|
| 1838 |
+
- left_ear
|
| 1839 |
+
- left_shoulder
|
| 1840 |
+
18:
|
| 1841 |
+
color:
|
| 1842 |
+
- 51
|
| 1843 |
+
- 153
|
| 1844 |
+
- 255
|
| 1845 |
+
id: 18
|
| 1846 |
+
link: !!python/tuple
|
| 1847 |
+
- right_ear
|
| 1848 |
+
- right_shoulder
|
| 1849 |
+
dist_params:
|
| 1850 |
+
backend: nccl
|
| 1851 |
+
evaluation:
|
| 1852 |
+
interval: 10
|
| 1853 |
+
metric: mAP
|
| 1854 |
+
save_best: AP
|
| 1855 |
+
load_from: null
|
| 1856 |
+
log_config:
|
| 1857 |
+
hooks:
|
| 1858 |
+
- type: TextLoggerHook
|
| 1859 |
+
interval: 50
|
| 1860 |
+
log_level: INFO
|
| 1861 |
+
lr_config:
|
| 1862 |
+
policy: step
|
| 1863 |
+
step:
|
| 1864 |
+
- 170
|
| 1865 |
+
- 200
|
| 1866 |
+
warmup: linear
|
| 1867 |
+
warmup_iters: 500
|
| 1868 |
+
warmup_ratio: 0.001
|
| 1869 |
+
model:
|
| 1870 |
+
backbone:
|
| 1871 |
+
extra:
|
| 1872 |
+
stage1:
|
| 1873 |
+
block: BOTTLENECK
|
| 1874 |
+
num_blocks: !!python/tuple
|
| 1875 |
+
- 4
|
| 1876 |
+
num_branches: 1
|
| 1877 |
+
num_channels: !!python/tuple
|
| 1878 |
+
- 64
|
| 1879 |
+
num_modules: 1
|
| 1880 |
+
stage2:
|
| 1881 |
+
block: BASIC
|
| 1882 |
+
num_blocks: !!python/tuple
|
| 1883 |
+
- 4
|
| 1884 |
+
- 4
|
| 1885 |
+
num_branches: 2
|
| 1886 |
+
num_channels: !!python/tuple
|
| 1887 |
+
- 48
|
| 1888 |
+
- 96
|
| 1889 |
+
num_modules: 1
|
| 1890 |
+
stage3:
|
| 1891 |
+
block: BASIC
|
| 1892 |
+
num_blocks: !!python/tuple
|
| 1893 |
+
- 4
|
| 1894 |
+
- 4
|
| 1895 |
+
- 4
|
| 1896 |
+
num_branches: 3
|
| 1897 |
+
num_channels: !!python/tuple
|
| 1898 |
+
- 48
|
| 1899 |
+
- 96
|
| 1900 |
+
- 192
|
| 1901 |
+
num_modules: 4
|
| 1902 |
+
stage4:
|
| 1903 |
+
block: BASIC
|
| 1904 |
+
num_blocks: !!python/tuple
|
| 1905 |
+
- 4
|
| 1906 |
+
- 4
|
| 1907 |
+
- 4
|
| 1908 |
+
- 4
|
| 1909 |
+
num_branches: 4
|
| 1910 |
+
num_channels: !!python/tuple
|
| 1911 |
+
- 48
|
| 1912 |
+
- 96
|
| 1913 |
+
- 192
|
| 1914 |
+
- 384
|
| 1915 |
+
num_modules: 3
|
| 1916 |
+
in_channels: 3
|
| 1917 |
+
type: HRNet
|
| 1918 |
+
keypoint_head:
|
| 1919 |
+
extra:
|
| 1920 |
+
final_conv_kernel: 1
|
| 1921 |
+
in_channels: 48
|
| 1922 |
+
loss_keypoint:
|
| 1923 |
+
type: JointsMSELoss
|
| 1924 |
+
use_target_weight: true
|
| 1925 |
+
num_deconv_layers: 0
|
| 1926 |
+
out_channels: 17
|
| 1927 |
+
type: TopdownHeatmapSimpleHead
|
| 1928 |
+
pretrained: https://download.openmmlab.com/mmpose/pretrain_models/hrnet_w48-8ef0771d.pth
|
| 1929 |
+
test_cfg:
|
| 1930 |
+
flip_test: true
|
| 1931 |
+
modulate_kernel: 11
|
| 1932 |
+
post_process: default
|
| 1933 |
+
shift_heatmap: true
|
| 1934 |
+
train_cfg: {}
|
| 1935 |
+
type: TopDown
|
| 1936 |
+
mp_start_method: fork
|
| 1937 |
+
opencv_num_threads: 0
|
| 1938 |
+
optimizer:
|
| 1939 |
+
lr: 0.0005
|
| 1940 |
+
type: Adam
|
| 1941 |
+
optimizer_config:
|
| 1942 |
+
grad_clip: null
|
| 1943 |
+
resume_from: null
|
| 1944 |
+
test_pipeline:
|
| 1945 |
+
- type: LoadImageFromFile
|
| 1946 |
+
- padding: 1.25
|
| 1947 |
+
type: TopDownGetBboxCenterScale
|
| 1948 |
+
- type: TopDownAffine
|
| 1949 |
+
- type: ToTensor
|
| 1950 |
+
- mean:
|
| 1951 |
+
- 0.485
|
| 1952 |
+
- 0.456
|
| 1953 |
+
- 0.406
|
| 1954 |
+
std:
|
| 1955 |
+
- 0.229
|
| 1956 |
+
- 0.224
|
| 1957 |
+
- 0.225
|
| 1958 |
+
type: NormalizeTensor
|
| 1959 |
+
- keys:
|
| 1960 |
+
- img
|
| 1961 |
+
meta_keys:
|
| 1962 |
+
- image_file
|
| 1963 |
+
- center
|
| 1964 |
+
- scale
|
| 1965 |
+
- rotation
|
| 1966 |
+
- bbox_score
|
| 1967 |
+
- flip_pairs
|
| 1968 |
+
type: Collect
|
| 1969 |
+
total_epochs: 210
|
| 1970 |
+
train_pipeline:
|
| 1971 |
+
- type: LoadImageFromFile
|
| 1972 |
+
- padding: 1.25
|
| 1973 |
+
type: TopDownGetBboxCenterScale
|
| 1974 |
+
- prob: 0.3
|
| 1975 |
+
shift_factor: 0.16
|
| 1976 |
+
type: TopDownRandomShiftBboxCenter
|
| 1977 |
+
- flip_prob: 0.5
|
| 1978 |
+
type: TopDownRandomFlip
|
| 1979 |
+
- num_joints_half_body: 8
|
| 1980 |
+
prob_half_body: 0.3
|
| 1981 |
+
type: TopDownHalfBodyTransform
|
| 1982 |
+
- rot_factor: 40
|
| 1983 |
+
scale_factor: 0.5
|
| 1984 |
+
type: TopDownGetRandomScaleRotation
|
| 1985 |
+
- type: TopDownAffine
|
| 1986 |
+
- type: ToTensor
|
| 1987 |
+
- mean:
|
| 1988 |
+
- 0.485
|
| 1989 |
+
- 0.456
|
| 1990 |
+
- 0.406
|
| 1991 |
+
std:
|
| 1992 |
+
- 0.229
|
| 1993 |
+
- 0.224
|
| 1994 |
+
- 0.225
|
| 1995 |
+
type: NormalizeTensor
|
| 1996 |
+
- sigma: 3
|
| 1997 |
+
type: TopDownGenerateTarget
|
| 1998 |
+
- keys:
|
| 1999 |
+
- img
|
| 2000 |
+
- target
|
| 2001 |
+
- target_weight
|
| 2002 |
+
meta_keys:
|
| 2003 |
+
- image_file
|
| 2004 |
+
- joints_3d
|
| 2005 |
+
- joints_3d_visible
|
| 2006 |
+
- center
|
| 2007 |
+
- scale
|
| 2008 |
+
- rotation
|
| 2009 |
+
- bbox_score
|
| 2010 |
+
- flip_pairs
|
| 2011 |
+
type: Collect
|
| 2012 |
+
val_pipeline:
|
| 2013 |
+
- type: LoadImageFromFile
|
| 2014 |
+
- padding: 1.25
|
| 2015 |
+
type: TopDownGetBboxCenterScale
|
| 2016 |
+
- type: TopDownAffine
|
| 2017 |
+
- type: ToTensor
|
| 2018 |
+
- mean:
|
| 2019 |
+
- 0.485
|
| 2020 |
+
- 0.456
|
| 2021 |
+
- 0.406
|
| 2022 |
+
std:
|
| 2023 |
+
- 0.229
|
| 2024 |
+
- 0.224
|
| 2025 |
+
- 0.225
|
| 2026 |
+
type: NormalizeTensor
|
| 2027 |
+
- keys:
|
| 2028 |
+
- img
|
| 2029 |
+
meta_keys:
|
| 2030 |
+
- image_file
|
| 2031 |
+
- center
|
| 2032 |
+
- scale
|
| 2033 |
+
- rotation
|
| 2034 |
+
- bbox_score
|
| 2035 |
+
- flip_pairs
|
| 2036 |
+
type: Collect
|
| 2037 |
+
workflow:
|
| 2038 |
+
- !!python/tuple
|
| 2039 |
+
- train
|
| 2040 |
+
- 1
|