89 lines
3.5 KiB
Python
89 lines
3.5 KiB
Python
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'''
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@ Date: 2021-06-10 15:39:55
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@ Author: Qing Shuai
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@ LastEditors: Qing Shuai
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@ LastEditTime: 2021-06-10 16:03:13
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@ FilePath: /EasyMocap/easymocap/annotator/keypoints_keyboard.py
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'''
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import numpy as np
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def set_unvisible(self, param, **kwargs):
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"set the selected joints unvisible"
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bbox_name, kpts_name = param['bbox_name'], param['kpts_name']
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select = param['select']
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if select[bbox_name] == -1:
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return 0
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if select['joints'] == -1:
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return 0
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param['annots']['annots'][select[bbox_name]][kpts_name][select['joints']][-1] = 0.
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def set_unvisible_according_previous(self, param, **kwargs):
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"set the selected joints unvisible if previous unvisible"
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previous = self.previous()
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select = param['select']
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bbox_name, kpts_name = param['bbox_name'], param['kpts_name']
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if select[bbox_name] == -1:
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return 0
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pid = param['annots']['annots'][select[bbox_name]]['personID']
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kpts_now = param['annots']['annots'][select[bbox_name]][kpts_name]
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for annots in previous['annots']:
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if annots['personID'] == pid:
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kpts_old = annots[kpts_name]
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for nj in range(len(kpts_old)):
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kpts_now[nj][2] = min(kpts_old[nj][2], kpts_now[nj][2])
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def set_face_unvisible(self, param, **kwargs):
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"set the face unvisible"
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select = param['select']
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bbox_name, kpts_name = param['bbox_name'], param['kpts_name']
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if select[bbox_name] == -1:
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return 0
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for i in [15, 16, 17, 18]:
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param['annots']['annots'][select[bbox_name]][kpts_name][i][-1] = 0.
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def mirror_keypoints2d(self, param, **kwargs):
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"mirror the keypoints2d"
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select = param['select']
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bbox_name, kpts_name = param['bbox_name'], param['kpts_name']
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if select[bbox_name] == -1:
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return 0
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kpts = param['annots']['annots'][select[bbox_name]][kpts_name]
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for pairs in [[(2, 5), (3, 6), (4, 7)], [(15, 16), (17, 18)], [(9, 12), (10, 13), (11, 14), (21, 24), (19, 22), (20, 23)]]:
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for i, j in pairs:
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kpts[i], kpts[j] = kpts[j], kpts[i]
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def mirror_keypoints2d_leg(self, param, **kwargs):
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"mirror the keypoints2d of legs and feet"
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select = param['select']
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bbox_name, kpts_name = param['bbox_name'], param['kpts_name']
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if select[bbox_name] == -1:
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return 0
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kpts = param['annots']['annots'][select[bbox_name]][kpts_name]
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for pairs in [[(9, 12), (10, 13), (11, 14), (21, 24), (19, 22), (20, 23)]]:
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for i, j in pairs:
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kpts[i], kpts[j] = kpts[j], kpts[i]
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def check_track(self, param):
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"check the tracking keypoints"
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if self.frame == 0:
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return 0
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bbox_name, kpts_name = param['bbox_name'], param['kpts_name']
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annots_pre = self.previous()['annots']
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annots = param['annots']['annots']
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if len(annots) == 0 or len(annots_pre) == 0 or len(annots) != len(annots_pre):
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param['stop'] = True
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return 0
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for data in annots:
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for data_pre in annots_pre:
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if data_pre['personID'] != data['personID']:
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continue
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l, t, r, b, c = data_pre[bbox_name][:5]
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bbox_size = max(r-l, b-t)
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keypoints_now = np.array(data[kpts_name])
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keypoints_pre = np.array(data_pre[kpts_name])
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conf = np.sqrt(keypoints_now[:, -1] * keypoints_pre[:, -1])
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diff = np.linalg.norm(keypoints_now[:, :2] - keypoints_pre[:, :2], axis=-1)
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dist = np.sum(diff * conf, axis=-1)/np.sum(conf, axis=-1)/bbox_size
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print('{}: {:.2f}'.format(data['personID'], dist))
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if dist > 0.05:
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param['stop'] = True
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