Is there any notebook available showing the usage of PointsItemList
You want lesson 3, headpose
what is being done here
def convert_biwi(coords): c1 = coords * cal/coords + cal c2 = coords * cal/coords + cal return tensor([c2,c1])
what are the below fixed set of values are they camera params ?
array([[517.679, 0. , 320. ], [ 0. , 517.679, 240.5 ], [ 0. , 0. , 1. ]])
Are below coordinates x,y,z ?
array([187.332 , 40.3892, 893.135 ])
- if there were 6d pose in stead of 3d pose where other 3 were rotations across the 3 axes what could be likely approach or tweak in this notebook needed
All but 4 are explained in the lecture
For 6D do you mean we have a 6D image?
Aren’t those intrinsic camera parameters? on diagonal fx, fy- focal length and cx, cy as camera center?
look here: https://www.mathworks.com/help/vision/ug/camera-calibration.html
Yes they are. It’s a calibration given for that particular dataset
Yes basically I n trying to fit this data bunch for building car position detection competition in kaggle . Every position of car is expressed using 6 pose
X,y,z,yaw ,pitch ,roll . Last three are rotation across axes .
You can have brief check in this ,basically datasets building part