LfD | 3D object localisation from multi-view image detections | Computer Vision library
kandi X-RAY | LfD Summary
kandi X-RAY | LfD Summary
This code is a Python implementation of the work described in: 3D Object Localisation from Multi-view Image Detections (TPAMI 2017). Abstract In this work we present a novel approach to recover objects 3D position and occupancy in a generic scene using only 2D object detections from multiple view images. The method reformulates the problem as the estimation of a quadric (ellipsoid) in 3D given a set of 2D ellipses fitted to the object detection bounding boxes in multiple views. We show that a closed-form solution exists in the dual-space using a minimum of three views while a solution with two views is possible through the use of non-linear optimisation and object constraints on the size of the object shape. In order to make the solution robust toward inaccurate bounding boxes, a likely occurrence in object detection methods, we introduce a data preconditioning technique and a non-linear refinement of the closed form solution based on implicit subspace constraints. Results on synthetic tests and on different real datasets, involving challenging scenarios, demonstrate the applicability and potential of our method in several realistic scenarios. DOI: 10.1109/TPAMI.2017.2701373.
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Top functions reviewed by kandi - BETA
- Estimate ellipsoids
- Convert a 3x3 matrix to a symmetric matrix
- Convert a matrix to a 3x3 matrix
- Compute the B matrix B
- Converts a dual ellipse to the center of the dual ellipse
- Fit ellipses in the given bbs
- Fit ellipse in bounding box
- Project the ellipsoids onto the given observations
- Estimate one ellipsoid
- Estimate the ellipsoids for each object
- Plot a 3D image
- R Compute ellipsoid parameters from a dual quadric
- Plot a camera
- Compute the points of an ellipsoid
- Plot ellipsoid
- Plot estimated ellipses on input images
- Plot ellipse
LfD Key Features
LfD Examples and Code Snippets
Community Discussions
Trending Discussions on LfD
QUESTION
I installed Christoph Gohlke's prebuilt wheel Cartopy‑0.20.2‑cp39‑cp39‑win_amd64.whl using pip in an active virtual environment. The environment is using Python 3.9.5. When trying to import Cartopy I get the error message below. This used to work before and now it no longer works and I can't figure out why. Does anyone know what the issue could be or what I'm missing?
ANSWER
Answered 2022-Mar-22 at 12:20QUESTION
I created a minimal code that serves as an HTTPS server with CA created as follows:
...ANSWER
Answered 2022-Mar-20 at 19:20You are trying to add the extension to the certificate after it was signed. This makes the CA's signature invalid. You have to do that before signing, e.g.:
QUESTION
I have data stored in following format in one of my columns;
...ANSWER
Answered 2022-Feb-25 at 00:57So with a CTE to provide fake data, and parse the JSON for us:
QUESTION
I'm trying to install pyaudio in 3 ways but failed:
Solution 1
...ANSWER
Answered 2022-Feb-05 at 08:40Looking at the pypi files page for PyAudio, the latest wheels are for Python 3.6.
From your traceback it seems like you are running Python 3.7, so that won't work. The link on the pythonlibs page also times out for me.
If pip cannot find a suitable wheel, it will try to compile the package using its setup.py.
Nothing for it but to set up a development environment and compile it yourself. This link might help with that.
QUESTION
i am new to linux and i am setting up my code (in code i trying to take audio input from user and changing it to text). ran into problem while installing pyaudio .when i try to install pyaudio(by pipwin install pyaudio) following showed
ANSWER
Answered 2022-Feb-02 at 18:22Like it says, you need the portaudio library installed. Assuming you are running Ubuntu, something like this should work:
QUESTION
I'm looking for a pre-compiled sasl package for Windows python 3.9 or higher.
Since compiling the package seems quite some effort I'd prefer a pre-compiled package. There are some questions about problems when installings sasl (e.g. unable-to-install-sasl-0-1-3-python-package-on-windows-machine). But all of them refer to py3.7 or below.
There is no py3.9 version in the mentioned repos: e.g. https://www.lfd.uci.edu/~gohlke/pythonlibs/#sasl
Other mentioned repos are no longer available, e.g. https://download.lfd.uci.edu/pythonlibs/g5apjq5m/
...ANSWER
Answered 2021-Nov-25 at 06:02The repo was updated again by @cgohlke.
So versions for 3.8, 3.9 and 3.10 can now be found here again:
QUESTION
Problem: Given the below pyspark dataframe, is it possible to check whether row-wise whether "some_value" did increase (compared to the previous row) by using a window function (see example below)?
A solution without lag would be preferred as I will have multiple columns like "some_value" and I don't know in advance how many and their explicit names.
Example: Here I want to achive a column like "FLAG_INCREASE".
...ANSWER
Answered 2021-Nov-19 at 16:28you simply need a lag:
QUESTION
I need to install python packages with pip on a machine without internet access. To do that, I tried to download these packages from the following link : https://www.lfd.uci.edu/~gohlke/pythonlibs/ I thought the whl files are complete packages but when I try to install with pip I get the following error
pip install .\pyproj-3.2.1-cp310-cp310-win_amd64.whl
...ANSWER
Answered 2021-Nov-12 at 07:14like this
pip install --no-index --find-links=
e.g.
pip install --no-index --find-link=/tmp/python-wheels exchangelib
QUESTION
I'd like to include NumPy+MKL as a dependency in my project. It seems that the main options for publishing tools are setuptools, Poetry, and Anaconda.
I'd like to use Poetry. I'm already familiar with it; it's a very nice packaging solution. It was made to eliminate the complexities experienced with setuptools. I haven't explored Anaconda much, and if Poetry doesn't work for my package I'll probably try it.
I know that Poetry looks for wheel files on PyPI and doesn't currently have plans to support other "channels" like Anaconda does. So there's no way in pyproject.toml to specify something like:
ANSWER
Answered 2021-Jul-28 at 17:15The wheels available on Christoph Gohlke's site are for personal use only, and are not meant for distribution. His page is not a pip repository, which is why he makes heavy use of Javascript URL obfuscation to download the files. numpy==1.21.1+mkl is not a valid version identifier.
I think you may also be misunderstanding what exactly the MKL builds are. They use the same base code as the regular NumPy package from PyPI - there's nothing different about them except for the fact that the C and Fortran parts are linked against Intel's Math Kernel Library, giving some speed advantages in some situations. They're not magical, they don't implement any new functions, there's nothing different about it except the speed factor, which typically isn't that noticeable except when using very large datasets anyways.
If your users want to use the MKL-linked version of NumPy, they'll already know about it and know how to install it independent of your package. All your package needs is a regular NumPy dependency for the minimum version that meets your code's requirements.
QUESTION
Because VSC says unresolved import 'scipy.ndimage' for from scipy.ndimage import interpolation as inter So I found the binary package for Windows at the bottom of https://scipy.org/install.html. I was able to
- successfully install the required Windows VC++ buildtool, reboot
- download the ndimage-1.3.1.tar.gz from above
python setup.py installgave me following error
ANSWER
Answered 2021-May-11 at 04:43That site is for windows binaries, as in the pre-built wheel files (.whl). Find the matching .whl file for your python version and 32/64 bit (e.g scipy‑1.6.3‑cp39‑cp39‑win_amd64.whl for scipy 1.6.3 for 64-bit Python 3.9). Then install it via pip install some_wheel_file.whl. This avoids needing to compile with a .tar.gz source distribution.
Edit: amd64 is for all 64-bit CPUs, not just AMD CPUs.
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Install LfD
You can use LfD like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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