3D Object Detection and Pose Estimation with Deep Learning in OpenCV Python
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- Опубликовано: 26 авг 2024
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Tags:
#ObjectDetection #PoseEstimation #DeepLearning
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Would be cool to learn to calculate world coordinates, relative to the whole room. You have mentioned that in the video.
Can you please tell me a procedure on how to train this on custom dataset?
how to use the efficientPose for any objects?
Hi
Thank you for this video it is really helpful.
Can you make a video for object detection and pose estiamtion using reinforcement learning?
hello may I ask why i am encountering this error Exception has occurred: ImportError
DLL load failed: The specified module could not be found.
File "C:\Users\EfficientPose\PoseEstimation3DObjectDetection\inference_webcam.py", line 1, in
import cv2
ImportError: DLL load failed: The specified module could not be found. even if I already imported opencv2
Actually that is even better, if we can project both this and point clouds in one space, that would be super cool!
So, lets say if the object is placed very near to the camera. Does this effect the volume information that we are getting.
Yeah the distance will effect it since the closer the bigger since it does not utilize 3d information
in your git repository coco_label.txt is missing
hi, thank you so much for the tutorial, can i ask you how can i add a new object in detection?
How can i get multiple objects' names and distances of it?
Any idea how we can implement federated learning in this?
Which point is taken as reference for these 6dof parameters?
The Cameras position
@@NicolaiAI Can we change the reference to any point in image.
Wait wait wait... That thing is not actually doing any Deep CNN stuff? It is just estimating pose and put approximate, hardcoded size of 3d bounding box in place where 2D detection occured? Those hardcoded diameter parameters in the code confused me.
I was thinking that it is actually based on point cloud and it actually knows which points are related to specific detection. Like detected cup cloud points etc. So that we could segment those.
Nice!
is it possible for it too display the shape of the object and not a cube based on its size?
try using contouring or edge detection, opencv has those
Thanks for sharing this. Do you have some performance estimations/results for edge devices, like RPI or Jetson Nano?
Oh, I realized that you are not even the author of these scripts. Sorry for bother
source code please
Its on my GitHub
I have go thoughed your github , can you please share the this particular source code for object detection
@@dhinesh4460it’s not his project
Yes it's seems that it is actually some ones else code, they even have a paper. He should have acknowledged the work a bit more with link to the github repo.