Open sdulyq opened 2 years ago
By the way, could you explain how to normalize 3d landmark more specific? Thanks very much!!
'''python def RT_compute(video_path = None, path = None): #video path should be the original video path consider_key = [1,2,3,4,5,11,12,13,14,15,27,28,29,30,31,32,33,34,35,39,42,36,45,17,21,22,26] source = np.zeros((len(consider_key),3)) ff = np.load('../basics/standard.npy') for m in range(len(consider_key)): source[m] = ff[consider_key[m]] source = np.mat(source) if video_path != None: lmark_path = video_path[:-4] + 'original.npy' rt_path = video_path[:-4] +'rt.npy' front_path = video_path[:-4]+'__front.npy'
if os.path.exists(front_path): print ('No front path ')
'''
By the way, could you explain how to normalize 3d landmark more specific? Thanks very much!!
'''python def RT_compute(video_path = None, path = None): #video path should be the original video path consider_key = [1,2,3,4,5,11,12,13,14,15,27,28,29,30,31,32,33,34,35,39,42,36,45,17,21,22,26]
source = np.zeros((len(consider_key),3)) ff = np.load('../basics/standard.npy') for m in range(len(consider_key)): source[m] = ff[consider_key[m]]
source = np.mat(source) if video_path != None: lmark_path = video_path[:-4] + 'original.npy' rt_path = video_path[:-4] +'rt.npy' front_path = video_path[:-4]+'__front.npy'
normed_path = os.path.join( person_path,vid[:-12] +'normed.npy')
'''