Closed krisice closed 3 years ago
while True: ret = dict() ret['voxel1'] = np.zeros( (batch_size, 128, 128, 128, 1), dtype=np.float32) ret['voxel2'] = np.zeros( (batch_size, 128, 128, 128, 1), dtype=np.float32) ret['seg1'] = np.zeros( (batch_size, 128, 128, 128, 1), dtype=np.float32) ret['seg2'] = np.zeros( (batch_size, 128, 128, 128, 1), dtype=np.float32) ret['point1'] = np.ones( (batch_size, np.sum(valid_mask), 3), dtype=np.float32) * (-1) ret['point2'] = np.ones( (batch_size, np.sum(valid_mask), 3), dtype=np.float32) * (-1) ret['id1'] = np.empty((batch_size), dtype='<U40') ret['id2'] = np.empty((batch_size), dtype='<U40')
The ret['voxle']、ret['seg'] and ['point'] what does they mean? The train data is v[voxel]?
The ret['voxle']、ret['seg'] and ['point'] what does they mean? The train data is v[voxel]?