mLib | Research Library used in the Visual Computing Lab | Computer Vision library

by niessner C++ Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(7)Vulnerabilities Install Support

kandi X-RAY | mLib Summary

mLib is a C++ library typically used in Artificial Intelligence, Computer Vision, Deep Learning applications. mLib has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

mLib is a library to support research projects, and has been used in a large number of publications. You are free to use this code with proper attribution under the MIT license (Please see LICENSE). For the possibilities of commercial use, please contact the authors. CONTACT (feel free to contact us): niessner@cs.stanford.edu mdfisher@cs.stanford.edu adai@cs.stanford.edu. INSTALLATION: Make to check out mLib and mLibExternal on the same directory level; ideally, in you work folder. A typical file structure looks this: E:\Work\mLib E:\Work\mLibExternal E:\Work. Most code was developed under VS2013, but the library is cross platform and most modules run under Windows, Linux, and Mac. Example projects can be found in mLib\test. In order to add mLib to your project create mLibInclude.h and mLibInclude.cpp files to. These file need to be added to your to your VisualStudio project or Makefile. We are also looking for active participation in maintaining and extending mLib. However, please when you are changing the API be aware that you might break other research projects.

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Quality

Security

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Support

mLib has a low active ecosystem.

It has 69 star(s) with 37 fork(s). There are 25 watchers for this library.

It had no major release in the last 6 months.

There are 3 open issues and 4 have been closed. On average issues are closed in 150 days. There are 3 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of mLib is current.

Quality

mLib has 0 bugs and 0 code smells.

Security

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

mLib code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

mLib is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

mLib releases are not available. You will need to build from source code and install.

Installation instructions are not available. Examples and code snippets are available.

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mLib Key Features

No Key Features are available at this moment for mLib.

mLib Examples and Code Snippets

No Code Snippets are available at this moment for mLib.

Community Discussions

Trending Discussions on mLib

Build a library in C++ which does not require class instantiation

How to add Mlib library to Spark?

why am I getting a black texture?

Convert dataframe to dataPoints in Spark

opengl- vertex normal not taken in account

Unable to find a user-defined type in a c++ unordered set with custom operator==()

Error on fitting RDD data on decision tree classifier

QUESTION

Build a library in C++ which does not require class instantiation

Asked 2021-Jan-22 at 12:56

Sorry if this seems to be a beginner question, but I can't seem to work out the best approach for my C++ library. I have build a static library, which contains driver API handling code. Currently in order to use it in a higher layer of the software (a simple app with GUI), I need to link the library to the project and create a new instance of a class which exists in this library to access all of its public methods. When a new instance of this class is created, all necessary objects required by the code to work are initialized. I would like to skip the instantiation step and enable the potential users to have it working only by including the library in their code. To picture this better, here's a code example:

What I currently have:

...

ANSWER

Answered 2021-Jan-22 at 12:56

Supposed you have this:

Source https://stackoverflow.com/questions/65774060

QUESTION

How to add Mlib library to Spark?

Asked 2020-Dec-04 at 13:33

I was given assignment to run some code and show results using the Apache Spark using Python Language, I installed the Apache Spark server using the following steps: https://phoenixnap.com/kb/install-spark-on-windows-10. I tried my code and everything was fine. Now I am assigned another assignment, it needs MLlib linear regression and they provide us with some code that should be running then we will add additional code for it. When I try to run the code I have some errors and warnings, part of them appeared in the previous assignment but it still working. I believe the issue is that there are additiona things related to Mlib Library should be added so the code will run correctly. Anybody has any idea what files should be added to the spark so it runs the code related to MLib? I am using Windows 10, and spark-3.0.1-bin-hadoop2.7

This is my code :

...

ANSWER

Answered 2020-Dec-02 at 12:46

Try to do pip install numpy (or pip3 install numpy if that fails). The traceback says numpy module is not found.

Source https://stackoverflow.com/questions/65108351

QUESTION

why am I getting a black texture?

Asked 2020-Jun-16 at 16:21

The main.cpp is like this:

...

ANSWER

Answered 2020-Jun-16 at 16:21

A texture sampler in a shader has to be set to the index of the texture unit it should read from, not to the texture handle. See OpenGL Wiki: Sampler

Since your active texture unit is unit 0 (glActiveTexture(GL_TEXTURE0);), you have to replace

Source https://stackoverflow.com/questions/62411461

QUESTION

Convert dataframe to dataPoints in Spark

Asked 2020-May-17 at 07:33

I have a dataframe and want to prepare dataPoints as input for the mlib library.

My dataframe looks like this:

...

ANSWER

Answered 2020-May-17 at 07:33

Caused by: java.lang.NumberFormatException: For input string: "kategorieID" because you are invoking toDouble on string kategorieID. Please check below code.

Vectors.parse will only take type of string . To show you, I have used Vectors.dense. you can modify below code as per your use case.

Source https://stackoverflow.com/questions/61848072

QUESTION

opengl- vertex normal not taken in account

Asked 2020-Apr-02 at 13:53

I was just getting into diffuse lighting, but the object always gives a black output,

The vertex and the fragment normals are defined as:

...

ANSWER

Answered 2020-Apr-02 at 07:18

If a named buffer object is bound, then the last parameter of glVertexAttribPointer is treated as a byte offset into the buffer object's data store. The offset of the normal vector attribute are 3*4 bytes, thus (const void*)3 has to be (const void*)(3*sizeof(float)):

glVertexAttribPointer(1, 3, GL_FLOAT, GL_FALSE, 6*sizeof(float), (const void*)3);

Source https://stackoverflow.com/questions/60986043

QUESTION

Unable to find a user-defined type in a c++ unordered set with custom operator==()

Asked 2020-Feb-26 at 21:38

Problem Statement: Iterate over an array of objects and check if the object exists in an unordered_set.

Goal: I could have thousand of objects in one container to check their existence in millions of objects in another container. I choose unordered_set for its constant finding complexity and vector for iterating. I'm new to this and if you have any alternate approach, I'd really appreciate it.

Issue: unordered_set find isn't working as expected or I got the concept wrong!

Main:

...

ANSWER

Answered 2020-Feb-26 at 20:56

An unordered_set requires a hashing function and a comparison function. You are using the existing hashing and comparison functions for std::unique_ptr, which is definitely not what you want.

I would not suggest trying to change the behavior of std::unique_ptr because that will lead to confusion in other code that wants normal semantics for pointers. Instead, add normal hashing and comparison functions for Block and pass customized ones to the constructor of the unordered_set.

Source https://stackoverflow.com/questions/60422183

QUESTION

Error on fitting RDD data on decision tree classifier

Asked 2020-Feb-24 at 17:28

#load dataset
df = spark.sql("select * from ws_var_dataset2")
def labelData(data):
    # label: row[end], features: row[0:end-1]
    return data.map(lambda row: LabeledPoint(row[-1], row[:-1]))
training_data, testing_data = labelData(df.rdd).randomSplit([0.8, 0.2], seed=12345)

...

ANSWER

Answered 2020-Feb-24 at 17:28

The cause is mentioned in the error stack trace.

ModuleNotFoundError: No module named 'numpy'

You just need to install numpy

Source https://stackoverflow.com/questions/60196772

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

Vulnerabilities

No vulnerabilities reported

Install mLib

You can download it from GitHub.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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