Plankton | Open source simulator for maritime robotics researchers
kandi X-RAY | Plankton Summary
kandi X-RAY | Plankton Summary
Open source simulator for maritime robotics researchers. Plankton is an initiative aiming at simplifying robotics research in the maritime domain. It is a maritime environment simulator with an open source core, and a special focus on ease of use, stability, speed and sim to real. Its middleware of choice is ROS 2. We intend to build a sustainable and open source core simulator for maritime robotics research. This core will support flexible specification of sensor suites and environmental conditions. This project benefits from great open source advances in the simulation domain, mainly ROS, Gazebo and its plugin UUV Simulator. It is also built on data characterizing the needs of robotics researchers in terms of simulation. We gathered these data in our wiki, including the results of our own survey on simulation needs.
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Top functions reviewed by kandi - BETA
- Generate a path to the waypoint
- Computes a 2D bipins path
- Get a circle
- Compute the u
- Launch setup
- Determines whether a time is a time
- Check if sim time is available
- Create a test time node
- Check if a time is a time node
- Parse command line arguments
- Compose matrix
- Generate a projection matrix
- Goes to the vehicle
- Go to the current position
- Start the waypoint list
- Start a circular trajectory
- Runs the WPTrajectory generator
- Start a helical trajectory
- R Compute the rotation matrix
- Callback for when a message is received
- Run the loop
- Processes a file
- Update the controller
- Decomposes a 3x3 matrix
- Computes the projection of a matrix
- Add meshes to the model
- Parse keypress
Plankton Key Features
Plankton Examples and Code Snippets
Community Discussions
Trending Discussions on Plankton
QUESTION
I have the code. When i draw the graph, the labels are shuffling and not showing correctly. I have consulted the reference guide (https://networkx.org/documentation) and related post (i.e. How to stop Networkx from changing the order of edges when adding them from a list?) but i cant help it.
The data which i am using is ].
When i print the values of
...ANSWER
Answered 2021-Apr-26 at 20:41How about directly creating the graph with the edge_label
information you want to use:
QUESTION
I am trying to show the values such as "Broader","Narrower" on the arrows on a graph but i dont know how to do it. I have read the previous posts such as how to draw directed graphs using networkx in python? and read the documentation (https://networkx.org/documentation/latest/_downloads/networkx_reference.pdf) of NetworkX but i cant make it happen.
My code is mentioned below;
...ANSWER
Answered 2021-Apr-18 at 05:12You can draw edge labels with draw_networkx_edge_labels().
QUESTION
I have a problem about implementing recommendation system by using Euclidean Distance.
What I want to do is to list some close games with respect to search criteria by game title and genre.
Here is my project link : Link
After calling function, it throws an error shown below. How can I fix it?
Here is the error
...ANSWER
Answered 2021-Jan-03 at 16:00The issue is that you are using euclidean distance for comparing strings. Consider using Levenshtein distance, or something similar, which is designed for strings. NLTK has a function called edit distance that can do this or you can implement it on your own.
QUESTION
I am working on an assignment where I am creating a webpage about sharks and I need to know how I can center my images. I have already tried the align attribute in my code and my images are still not centered. I would like the images to be in the center of the screen.
Here is my image code:
Here are the images on the actual webpage:
Here is my code (if needed)
...ANSWER
Answered 2020-May-01 at 17:55First you need to encapsulate your images in a div
, then if you want to display your images side by side on the center you can use the css property display: flex;
and justify-content: center
.
QUESTION
I just built my first AWS Apache Server and uploaded my website from my school project. The site works in Dreamweaver. However on my Apache server only some of the images appear. They all have the same path and are contained in the same folder /var/www/html/images. Some appear as intended, others are a broken link. Any ideas why it's not working? To get css to load I had to move my css folder. With the images some work fine while others do not. They are roughly the same size files. This is the code for one of the non working images:
...ANSWER
Answered 2020-Feb-26 at 00:25I found that the file extension on some of the pictures was capitalized. These pictures wouldn't load until I changed .JPG to .jpg.
QUESTION
I have some oceanographic data (time, depth, plankton counts, salinity, temperature, etc.) from the deployment of oceanographic equipment. The deployment consisted of multiple profiles of the water column. I subsetted all downcasts in the data (when the equipment was descending), so that when I plot depth over time, the data look like this: depth over time.
What code or function can I use in R to automatically identify, isolate, and extract the data from each individual downcast into its own object (without having to specifically identify the times of each downcast)? For the data in the plot, it would essentially generate 6 objects. Ideally, the code could easily be applied to other deployments with 1-7 downcasts each.
I've been looking at identifying data break points or structural changes, but nothing has been fruitful. Thank you!!
...ANSWER
Answered 2020-Jan-20 at 12:33If the probe only goes down during the downcast, i.e, there is no such case where
depth(i) > depth(i+1)
for cells belonging to the same downcast, then this code works.
It considers that when the depth of a cell is less than the depth of its previous one - see docs for diff(x) - a downcast has ended. So you may want to sanitize your date before using this. I've set a temperature list to demonstrate how to extend the use for other parameters.
QUESTION
I have an reactjs app that uses a django backend to deal with authentication.
Here are the pertinent parts of my App.tsx Typescript code for my react app.
...ANSWER
Answered 2019-Dec-31 at 15:26That's because you are storing login credentials in session's memory. When you change the URL on your own or refresh the page, the application's router (e.g React Router) is not the routing the website. It is the browser's native navigation system that loads it. As a result, all the memory that existed previously in the session is reset. It is loading a new page instead of navigating within the same page (do not let the URL change to fool you that it is actually a new page -- that's how HTML5 browser history works).
You need to persist the state between sessions. You can do it using cookies, sessionStorage
, or localStorage
. Do not forget that if you use session storage, your user's information will be deleted if you close the browser.
- Session Storage (MDN): https://developer.mozilla.org/en-US/docs/Web/API/Window/sessionStorage
- Local Storage (MDN): https://developer.mozilla.org/en-US/docs/Web/API/Window/localStorage
QUESTION
I define this in my Apps.jsx file of a React project:
...ANSWER
Answered 2019-Dec-16 at 00:34Where do you add authTokens
and setAuthTokens
to the AuthContext
?
QUESTION
=======
I need to understand what factors can explain the implementation of a directive. My design includes Biogeographic Region with 2 Levels, a nested variable within Biogeographic Region - Marine Sub-Unit - with 3 levels within each Biogeographic Region level and Criteria (16 levels) and Groups (11 levels). Each Marine Sub-unit includes counts concerning Criteria and Group. All my factors are categorical.
An example of a data frame, sum, is:
Biog_Reg Marine.Sub.Unit Criteria Group Count
Celtic Seas FR_Celtic Seas 1.1 Benthic habitats 1
Celtic Seas FR_Celtic Seas 1.1 Fish 15
Celtic Seas FR_Celtic Seas 1.1 Marine mammals 6
Celtic Seas FR_Celtic Seas 1.1 Marine turtles 6
Celtic Seas FR_Celtic Seas 1.1 Pelagic habitats 0
Celtic Seas FR_Celtic Seas 1.1 Plankton 0
Celtic Seas FR_Celtic Seas 1.1 Rock & Biogenic Reef 0
Celtic Seas FR_Celtic Seas 1.1 Seabirds 14
Celtic Seas FR_Celtic Seas 1.1 Sedimentary habitat 1
Celtic Seas FR_Celtic Seas 1.2 Fish 0
Since I am addressing nested count data and I want to access all proper interactions, I am trying to use GLMM to perform the analysis. I have tested several models but the most complete includes the following design:
Model3 <- glmer (Count ~ Biog_Reg + Criteria + Group + Biog_Reg: Criteria+ Biog_Reg:Group + (1|Marine.Sub.Unit/Biog_Reg), family = poisson (), data = sum)
(I understand that going instead for the following model would be easier but it simply wouldn't run: Model3 <- glmer (Count ~ Biog_Reg * Criteria * Group + (1|Marine.Sub.Unit/Biog_Reg), family = poisson (), data = sum) )
However, the model takes a very long time to resolve and when it does, provides the following errors:
"Correlation matrix not shown by default, as p = 54 > 12. Use print(x, correlation=TRUE) or vcov(x) if you need it convergence code: 0 unable to evaluate scaled gradient Model failed to converge: degenerate Hessian with 2 negative eigenvalues failure to converge in 10000 evaluations Warning messages: 1: In vcov.merMod(object, use.hessian = use.hessian) : variance-covariance matrix computed from finite-difference Hessian is not positive definite or contains NA values: falling back to var-cov estimated from RX"
I am relatively new in GLM in general, so I have several questions:
- Do I have the type of model and model syntaxe correct? My variable is naturally nested, i.e. each Marine Sub-unit only belong to one of the two Biogeogrpahic Region, so should a simpler anova solve this?
- In spite of the errors, the model provides results for each level of each factor individually. If the model is correct, how can I obtain the results for the factor?
- Should I nest Criteria and Group within Marine Sub-Unit, evend though they are not ramdom? If so, how is the sintaxe for it?
- Should I consider Hurdle models instead?
I have already read a huge amount of information but considering: "Schielzeth, H. and Nakagawa, S. (2013), Nested by design: model fitting and interpretation in a mixed model era." I should go for mixed models and GLMM with Poisson distribution. This should handle count data. I have encountered many resembling questions but none specifically answered my doubts.
Please help!!!
...ANSWER
Answered 2019-Feb-21 at 18:50You have asked a lot of questions that simply require more reading on your side. For example, it looks like you include your nested variables as a nested random effects rather than a fixed effects (intercept varying among Marine.Sub.Unit and among Biog_Reg within Marine.Sub.Unit). It is critical to understand the difference between fixed and random effects before choosing to use a mixed model. If you do want to include random effects, I recommend starting with Ben Bolker's GLMM FAQ document and his amazing Worked Examples.
You will also probably need to do likelyhood ratio tests to determine if the fixed variables you're interested in have any effect on the count data.
Hope that helps get you in the right direction.
QUESTION
I'm doing a project that trains a model that can classify plankton images. However, when I am doing my code and run it, it says that my image is in a folder that it cannot identify. First, I thought it have some with problem with the file name. I changed all jpg to png. But nothing changed. Every image on that folder works fine.
I am not using PIL, so I am still trying to figure out what is my problem, but nothing changed.The folder exists, and the image works normally.
Here is my code:
ANSWER
Answered 2019-Feb-18 at 02:15There is nothing wrong with your code and images. I had the same problem. The Issue is because of Keras ImageDataGenerator . if you use tensorflow cpu version it will work. but tensorflow-gpu will not work. if you want to save your time just forget about ImageDataGenerator and read images yourself.I don't remember what was the cause of this exactly.
scikit-image is a good package for working with images. you can read files like this:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install Plankton
ROS 2 Eloquent, Ubuntu 18.04 and Gazebo 9
If you don’t have ROS 2 Foxy installed, follow the instructions below and prefer to install the ros-foxy-desktop package: https://index.ros.org/doc/ros2/Installation/Foxy/Linux-Install-Debians/.
If you don't have Gazebo 11 installed, open a terminal and follow the steps below:. You can write gazebo in a terminal to make sure that gazebo runs correctly. Write gazebo --version to ensure that the version number is 11.X. For more information about the installation of Gazebo, refer to the official installation documentation (beware that the default installation command will not install the version 11): http://gazebosim.org/tutorials?tut=install_ubuntu&cat=install.
Write in a terminal: sudo apt install ros-foxy-gazebo-ros-pkgs. See http://gazebosim.org/tutorials?tut=ros2_installing&cat=connect_ros for more detailed information about gazebo and ROS 2 connection.
If you don’t have a ROS 2 workspace yet, create a workspace that will contain your projects. In this installation guide, we choose an original name for this directory, ros2_ws: mkdir -p ~/ros2_ws/src. Move to the src directory: cd ~/ros2_ws/src. Make sure git is installed: sudo apt install git. Now, clone the Plankton repository: git clone https://www.github.com/Liquid-ai/Plankton.git.
For ROS 2 variables source /opt/ros/foxy/setup.bash
For Gazebo source /usr/share/gazebo/setup.sh
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