dendrite | querying large datasets on a single host

 by   jwhitbeck Java Version: v0.5.13 License: Non-SPDX

kandi X-RAY | dendrite Summary

kandi X-RAY | dendrite Summary

dendrite is a Java library. dendrite has no bugs, it has no vulnerabilities and it has low support. However dendrite build file is not available and it has a Non-SPDX License. You can download it from GitHub.

Dendrite is a library for querying large datasets on a single host at near-interactive speeds.
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              dendrite has a low active ecosystem.
              It has 67 star(s) with 0 fork(s). There are 9 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 3 open issues and 2 have been closed. On average issues are closed in 6 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of dendrite is v0.5.13

            kandi-Quality Quality

              dendrite has no bugs reported.

            kandi-Security Security

              dendrite has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              dendrite has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

            kandi-Reuse Reuse

              dendrite releases are available to install and integrate.
              dendrite has no build file. You will be need to create the build yourself to build the component from source.

            Top functions reviewed by kandi - BETA

            kandi has reviewed dendrite and discovered the below as its top functions. This is intended to give you an instant insight into dendrite implemented functionality, and help decide if they suit your requirements.
            • Get stats about this file
            • Create column stats
            • Create a record group statistics
            • Create a global statistics object
            • Creates an optimized chunk writer
            • Generate comp loop loop
            • Gets the encoder for the given type
            • Compute the complement of a list
            • Closes the file
            • Reads a packed Boolean array from the given ByteBuffer
            • Read the nage header from the ByteBuffer
            • Optimize the plain line
            • Estimate data length
            • Checks if the dictionary is too large enough
            • Converts bytes to a ratio
            • Perform sampler sampler
            • Run the reduce function on each column
            • Performs a reduction on each column
            • Perform a reduction on each column
            • Reads a fixed length integer from the buffer
            • Read an unsigned integer
            • Reduce function
            • Returns an iterator of the reduced chunks
            • Returns an iterator that iterates over the bundles
            • Creates a new record writer
            • Returns an iterator to reduce chunks
            Get all kandi verified functions for this library.

            dendrite Key Features

            No Key Features are available at this moment for dendrite.

            dendrite Examples and Code Snippets

            No Code Snippets are available at this moment for dendrite.

            Community Discussions

            QUESTION

            Restoring mask to image
            Asked 2020-Oct-08 at 16:32

            My PyTorch model outputs a segmented image with values (0,1,2) for each one of the three classes. During the preparation of the set, I mapped black to 0, red to 1 and white to 2. I have two questions:

            1. How can I show what each class represents? for example take a look at the image: I am currently using the following method to show each class:

              ...

            ANSWER

            Answered 2020-Oct-08 at 16:32

            But there appears to be shared pixels between the classes, is there a better way to show this (I want the first image to only of the background class, the the second only of the neuron class and the third only of the dendrite class)?

            Yes, you can take argmax along 0th dimension so the one with highest logit (unnormalized probability) will be 1, rest will be zero:

            Source https://stackoverflow.com/questions/64264678

            QUESTION

            How to update all the values in a BTreeSet?
            Asked 2019-Feb-14 at 20:15

            I have collection which is a field in a struct in some module. I want to update all the values in the collection from another module.

            I wrote some code to mimic what I want to achieve. It's shortened a bit, but I think it has all needed parts. There is no struct holding the collection in this code, but imagine this is a getter which returns the collection. I added in comments how I think it should look.

            ...

            ANSWER

            Answered 2019-Feb-14 at 19:53

            BTreeSet doesn't implement impl<'a, T> IntoIterator for &'a mut BTreeSet (that would break the tree).

            You can only do this with types that implement IntoIterator with mut like impl<'a, T> IntoIterator for &'a mut Vec, example.

            Source https://stackoverflow.com/questions/54697274

            QUESTION

            Count protuberances in dendrite with openCV (python)
            Asked 2018-Jan-31 at 06:38

            I'm trying to count dendritic spines (the tiny protuberances) in mouse dendrites obtained by fluorescent microscopy, using Python and OpenCV.

            Here is the original image, from which I'm starting:

            Raw picture:

            After some preprocessing (code below) I've obtained these contours:

            Raw picture with contours (White):

            What I need to do is to recognize all protuberances, obtaining something like this:

            Raw picture with contours in White and expected counts in red:

            What I intended to do, after preprocessing the image (binarizing, thresholding and reducing its noise), was drawing the contours and try to find convex defects in them. The problem arose as some of the "spines" (the technical name of those protuberances) are not recognized as they en up bulged together in the same convexity defect, underestimating the result. Is there any way to be more "precise" when marking convexity defects?

            Raw image with contour marked in White. Red dots mark spines that were identified with my code. Green dots mark spines I still can't recognize:

            My Python code:

            ...

            ANSWER

            Answered 2018-Jan-31 at 06:38

            I would approximate the contour to a polygon as Silencer suggests (don't use the convex hull). Maybe you should simplify the contour just a little bit to keep most of the detail of the shape.

            This way, you will have many vertices that you have to filter: looking at the angle of each vertex you can tell if it is concave or convex. Each spine is one or more convex vertices between concave vertices (if you have several consecutive convex vertices, you keep only the sharper one).

            EDIT: in order to compute the angle you can do the following: let's say that a, b and c are three consecutive vertices

            Source https://stackoverflow.com/questions/48411742

            QUESTION

            How can I retrieve from every using OWL API
            Asked 2017-Apr-23 at 10:18

            I am new to OWL API hence I am facing some issues for retrieving data.

            Suppose I have the following data:

            ...

            ANSWER

            Answered 2017-Apr-23 at 10:18

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install dendrite

            You can download it from GitHub.
            You can use dendrite like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the dendrite component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .

            Support

            Work-in-progress documentation and benchmarks are available at dendrite.tech.
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            CLONE
          • HTTPS

            https://github.com/jwhitbeck/dendrite.git

          • CLI

            gh repo clone jwhitbeck/dendrite

          • sshUrl

            git@github.com:jwhitbeck/dendrite.git

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