EPro-PnP VS levenberg-marquardt-method

Compare EPro-PnP vs levenberg-marquardt-method and see what are their differences.

EPro-PnP

[CVPR 2022 Oral, Best Student Paper] EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation (by tjiiv-cprg)

levenberg-marquardt-method

Python implementation of Levenberg-Marquardt algorithm built from scratch using NumPy. (by abnerbog)
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EPro-PnP levenberg-marquardt-method
1 6
1,056 65
1.8% -
3.5 10.0
10 months ago over 1 year ago
Python Python
Apache License 2.0 -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

EPro-PnP

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

levenberg-marquardt-method

Posts with mentions or reviews of levenberg-marquardt-method. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing EPro-PnP and levenberg-marquardt-method you can also consider the following projects:

mmdetection3d - OpenMMLab's next-generation platform for general 3D object detection.

Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration

MonoScene - [CVPR 2022] "MonoScene: Monocular 3D Semantic Scene Completion": 3D Semantic Occupancy Prediction from a single image

datasets - 🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

Open3D-ML - An extension of Open3D to address 3D Machine Learning tasks

NumPy - The fundamental package for scientific computing with Python.

theseus - A library for differentiable nonlinear optimization

30-Days-Of-Python - 30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw

3d-multi-resolution-rcnn - Official PyTorch implementaiton of the paper "3D Instance Segmentation Framework for Cerebral Microbleeds using 3D Multi-Resolution R-CNN."

data-science-ipython-notebooks - Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.