efficientdet-pytorch
ros-semantic-segmentation-pytorch
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efficientdet-pytorch | ros-semantic-segmentation-pytorch | |
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1 | 1 | |
1,550 | 10 | |
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4.1 | 0.0 | |
9 months ago | 9 months ago | |
Python | Python | |
Apache License 2.0 | BSD 3-clause "New" or "Revised" License |
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efficientdet-pytorch
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Bounding box annotations and object orientation
However, there are papers on oriented object detectors (see https://arxiv.org/pdf/1911.07732.pdf) for example. In that paper, they do achieve better results using oriented bounding boxes. If you want to go down that route, I would suggest using the EfficientDet model, because the PyTorch code that you'll find for it is quite easy to understand and modify. For example, I've taken https://github.com/zylo117/Yet-Another-EfficientDet-Pytorch, and modified it to include a "thing-ness" logit, and this was pretty easy to do. Classic EfficientDet models only include logits (aka output neurons that get softmax-ed) for each class, and if any one of these class neurons is greater than 0.5, then it is considered "a thing". Anyway - that's digression, but my point is that I've thought about adding oriented box support to an EfficientDet model, and it didn't seem to be too hard, although I haven't actually done it. If I was to start now, I would probably go with https://github.com/rwightman/efficientdet-pytorch, since Ross Wightman's models are becoming a de-facto standard in the PyTorch world for all things image-related.
ros-semantic-segmentation-pytorch
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How to run Machine Learning (PyTorch, Tensorflow) with ROS Melodic/Python 2.7?
As an example, this repo (https://github.com/pranay731/ros-semantic-segmentation-pytorch) seems to simply install ROS Melodic normally and some python 3 dependencies:
What are some alternatives?
darknet - YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
Robo-Semantic-Segmentation - Just a simple semantic segmentation library that I developed to speed up the image segmentation pipeline
segmentation_models.pytorch - Segmentation models with pretrained backbones. PyTorch.
Pytorch-UNet - PyTorch implementation of the U-Net for image semantic segmentation with high quality images
Yet-Another-EfficientDet-Pytorch - The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.
ur_openai_gym - OpenAI Gym interface for Universal Robots with ROS Gazebo
Turtlebot2-On-Melodic - Make your Turtlebot2 runs on ROS Melodic (Ubuntu 18.04).
mmsegmentation - OpenMMLab Semantic Segmentation Toolbox and Benchmark.
dotmask
involution - [CVPR 2021] Involution: Inverting the Inherence of Convolution for Visual Recognition, a brand new neural operator