Yet-Another-EfficientDet-Pytorch
SipMask
Yet-Another-EfficientDet-Pytorch | SipMask | |
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1 | 1 | |
5,183 | 333 | |
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0.0 | 0.0 | |
over 2 years ago | about 3 years ago | |
Jupyter Notebook | Jupyter Notebook | |
GNU Lesser General Public License v3.0 only | MIT License |
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Yet-Another-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.
SipMask
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What frameworks/libraries are suited for live instance segmentation?
SipMask is a fast instance segmentation in Pytorch.
What are some alternatives?
simple-faster-rcnn-pytorch - A simplified implemention of Faster R-CNN that replicate performance from origin paper
automl - Google Brain AutoML
darknet - YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
Vision-Project-Image-Segmentation
efficientdet-pytorch - A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights
cellpose - a generalist algorithm for cellular segmentation with human-in-the-loop capabilities
fashionpedia-api - Python API for Fashionpedia Dataset
multi-object-tracking-in-python - 📡 implementation of multi object tracking algorithms including PMBM (Poisson Multi Bernoulli Mixture filter) in Python 🐍
TFLiteDetection - TensorFlow Lite Object Detection Python Implementation
SynthDet - SynthDet - An end-to-end object detection pipeline using synthetic data
mobilenets-ssd-pytorch - MobileNets-SSD/SSDLite on VOC/BDD100K Datasets