-
Notifications
You must be signed in to change notification settings - Fork 720
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
How to detect all points? #12
Comments
an approach that works with voxelnet and should work with SECOND : as far as i understand the model is trained for the 80x70x4 area in front of the car and inference produces labels only for the objects visible in image space . to get inference data for all points you could use your 360° data four times. rotate the data by 0°/90°/180°/270°. maybe 2 parts (original and 180° rotated) are enough. |
@johleh thanks for your advice. That seems a reasonable way and i will try this. |
@Oofs you are right. Note that if you use |
@traveller59 May I know why the range is [-3,1] for the z axis ([0,-40,-3, 70.4, 40, 1] in car.config)? According to the official documentation of Kitti, the z axis of the lidar coordinate is pointing upwards to the sky. Then why -3 is needed which seems evaluating the points under ground? |
@bigsheep2012 The distribution of car bottom-center location is in [-3, 1]. you can draw the distributions. |
velodyne sensor is located 1.73m above the ground (on top of the car). |
Hi @Oofs , it is great to see that you seem to also have tried to do some detections in ROS. I ran SECOND as a ROS Node with one of the KITTI dataset and the results is at youtube link. This code is at repository link. I felt that the performance is not as expected and I might have done something wrong. Could you please help me check to see if you have any suggestions for improvement? Thank you very much. Yuesong |
@Oofs Hi, how does the network perform on 16 lines data? Thank you. |
I have changed point_cloud_range : [-80, -69.12, -3, 80, 69.12, 1]. But still iam not able to detect objects for X<0. KIndly suggest if anybody found the solutions... |
@kwea123 @traveller59 @cedricxie kindly help us on this issue. |
@Oofs , how did you got detection result for X<0. KIndly suggest what parameters i need to change. So far i used point_cloud_range : [-80, -69.12, -3, 80, 69.12, 1], post_center_limit_range: [-80, -69.12, -5, 80, 69.12, 5] KIndly help |
Don't modify the config, put the range to [0,-40,-3, 70.4, 40, 1] or whatever as it is. |
@Oofs , how did you got detection result for X<0. KIndly suggest what parameters i need to change. So far i used point_cloud_range : [-80, -69.12, -3, 80, 69.12, 1], post_center_limit_range: [-80, -69.12, -5, 80, 69.12, 5] KIndly help |
Ok thanks let me try with the suggested step.. |
Hi, have you correctly detect the objects behind the camera? Would you provide some suggestions please? |
Hi,
I do the detection on VLP-16 data, result is shown in RVIZ and it's pretty good.
But i have noticed that only the points with x > 0 are detected. Do you know how to make the net detecting all points?
The text was updated successfully, but these errors were encountered: