Yet-Another-EfficientDet-Pytorch VS mobilenets-ssd-pytorch

Compare Yet-Another-EfficientDet-Pytorch vs mobilenets-ssd-pytorch and see what are their differences.

Yet-Another-EfficientDet-Pytorch

The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights. (by zylo117)
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Yet-Another-EfficientDet-Pytorch mobilenets-ssd-pytorch
1 1
5,183 92
- -
0.0 1.8
over 2 years ago about 2 years ago
Jupyter Notebook Jupyter Notebook
GNU Lesser General Public License v3.0 only -
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Yet-Another-EfficientDet-Pytorch

Posts with mentions or reviews of Yet-Another-EfficientDet-Pytorch. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-08-26.
  • Bounding box annotations and object orientation
    3 projects | /r/computervision | 26 Aug 2021
    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.

mobilenets-ssd-pytorch

Posts with mentions or reviews of mobilenets-ssd-pytorch. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing Yet-Another-EfficientDet-Pytorch and mobilenets-ssd-pytorch you can also consider the following projects:

simple-faster-rcnn-pytorch - A simplified implemention of Faster R-CNN that replicate performance from origin paper

coral-pi-rest-server - Perform inferencing of tensorflow-lite models on an RPi with acceleration from Coral USB stick

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

TFLiteDetection - TensorFlow Lite Object Detection Python Implementation

fashionpedia-api - Python API for Fashionpedia Dataset

YOLOv6 - YOLOv6: a single-stage object detection framework dedicated to industrial applications.

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.

SipMask - SipMask: Spatial Information Preservation for Fast Image and Video Instance Segmentation (ECCV2020)

SynthDet - SynthDet - An end-to-end object detection pipeline using synthetic data