SynthDet
Yet-Another-EfficientDet-Pytorch
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SynthDet | Yet-Another-EfficientDet-Pytorch | |
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3 | 1 | |
350 | 5,168 | |
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2.9 | 0.0 | |
10 months ago | over 2 years ago | |
C# | Jupyter Notebook | |
Apache License 2.0 | GNU Lesser General Public License v3.0 only |
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SynthDet
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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.
What are some alternatives?
simple-faster-rcnn-pytorch - A simplified implemention of Faster R-CNN that replicate performance from origin paper
darknet - YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
efficientdet-pytorch - A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights
fashionpedia-api - Python API for Fashionpedia Dataset
AI-basketball-analysis - :basketball::robot::basketball: AI web app and API to analyze basketball shots and shooting pose.
TFLiteDetection - TensorFlow Lite Object Detection Python Implementation
Deep-Learning-Push-Up-Counter - Deep Learning approach to count the number of repetitions in a video of push ups or pull ups.
yolov3-tf2 - YoloV3 Implemented in Tensorflow 2.0
machine-learning-for-trading - Code for Machine Learning for Algorithmic Trading, 2nd edition.
Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning - My Computer Vision project from my Computer Vision Course (Fall 2020) at Goethe University Frankfurt, Germany. Performance comparison between state-of-the-art Object Detection algorithms YOLO and Faster R-CNN based on the Berkeley DeepDrive (BDD100K) Dataset.
make-sense - Free to use online tool for labelling photos. https://makesense.ai
Mask-RCNN-Implementation - Mask RCNN Implementation on Custom Data(Labelme)