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Kapao / data /coco-kp.yaml

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	# train and val data as 1) directory: path/images/, 2) file: path/images.txt, or 3) list: [path1/images/, path2/images/]
	path: data/datasets/coco
	labels: kp_labels
	train: kp_labels/img_txt/train2017.txt
	val: kp_labels/img_txt/val2017.txt
	test: kp_labels/img_txt/test2017.txt

	train_annotations: annotations/person_keypoints_train2017.json
	val_annotations: annotations/person_keypoints_val2017.json
	test_annotations: annotations/image_info_test-dev2017.json

	pose_obj: True # write pose object labels

	nc: 18 # number of classes (person class + 17 keypoint classes)
	num_coords: 34 # number of keypoint coordinates (x, y)

	# class names
	names: [ 'person', 'nose',
	'left_eye', 'right_eye',
	'left_ear', 'right_ear',
	'left_shoulder', 'right_shoulder',
	'left_elbow', 'right_elbow',
	'left_wrist', 'right_wrist',
	'left_hip', 'right_hip',
	'left_knee', 'right_knee',
	'left_ankle', 'right_ankle' ]

	kp_bbox: 0.05 # keypoint object size (normalized by longest img dim)
	kp_flip: [0, 2, 1, 4, 3, 6, 5, 8, 7, 10, 9, 12, 11, 14, 13, 16, 15] # for left-right keypoint flipping
	kp_left: [1, 3, 5, 7, 9, 11, 13, 15] # left keypoints

	kp_names_short:
	0: 'n'
	1: 'ley'
	2: 'rey'
	3: 'lea'
	4: 'rea'
	5: 'ls'
	6: 'rs'
	7: 'lel'
	8: 'rel'
	9: 'lw'
	10: 'rw'
	11: 'lh'
	12: 'rh'
	13: 'lk'
	14: 'rk'
	15: 'la'
	16: 'ra'

	# segments for plotting
	segments:
	1: [5, 6]
	2: [5, 11]
	3: [11, 12]
	4: [12, 6]
	5: [5, 7]
	6: [7, 9]
	7: [6, 8]
	8: [8, 10]
	9: [11, 13]
	10: [13, 15]
	11: [12, 14]
	12: [14, 16]