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This project forked from facebookresearch /maskrcnn-benchmark
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
License: MIT License
Dockerfile 0.60%
Python 75.02%
C++ 4.74%
Cuda 19.64%
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maskrcnn-benchmark's Issues
When running perch from python
Find only yaw objects in image
Run perch on output of model
Run perch on image directly (depth only)
Run perch on image (color)
Last level cost checks for points still unexplained in observed cloud
Print images
Modify perch for handling different hypothesis for different objects
*Use the object height to render midpoint of model at half the height from the table
*Also use it to increase search space by appending the search box with dimensions of object