i3d | Train I3D on NTU-RGBD dataset in keras | Machine Learning library

 by   srijandas07 Python Version: Current License: No License

kandi X-RAY | i3d Summary

kandi X-RAY | i3d Summary

i3d is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Keras, Neural Network applications. i3d has no bugs, it has no vulnerabilities and it has low support. However i3d build file is not available. You can download it from GitHub.

Train I3D on NTU-RGB+D dataset in keras
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              i3d has a low active ecosystem.
              It has 9 star(s) with 4 fork(s). There are no watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 0 open issues and 2 have been closed. On average issues are closed in 2 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of i3d is current.

            kandi-Quality Quality

              i3d has no bugs reported.

            kandi-Security Security

              i3d has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              i3d does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
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              Without a license, all rights are reserved, and you cannot use the library in your applications.

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              i3d releases are not available. You will need to build from source code and install.
              i3d 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 i3d and discovered the below as its top functions. This is intended to give you an instant insight into i3d implemented functionality, and help decide if they suit your requirements.
            • Inflated Inception Inflated3
            • Obtain input shape
            • Batch normalization
            • Produce a block of non - local blocks
            • Create convolutional convolutional layer
            • Flattens the input tensor
            Get all kandi verified functions for this library.

            i3d Key Features

            No Key Features are available at this moment for i3d.

            i3d Examples and Code Snippets

            No Code Snippets are available at this moment for i3d.

            Community Discussions

            QUESTION

            TypeError: can't pickle coroutine objects when i am using asyncio loop.run_in_executor()
            Asked 2021-Jan-04 at 09:50

            I am referring to this repo to adapt mmaction2 grad-cam demo from short video offline inference to long video online inference. The script is shown below:

            Note: to make this script can be easily reproduce, i comment out some codes that needs many dependencies.

            ...

            ANSWER

            Answered 2021-Jan-04 at 09:50

            If you use run_in_executor, target function should not be async. You need to remove async keyword before def inference().

            Source https://stackoverflow.com/questions/65557258

            QUESTION

            How to train a CNN on a cluster of GPUs (multi-gpu)?
            Asked 2020-Oct-06 at 15:18

            I am using the code below to train a CNN on a single GPU with the UCF101 dataset, but because of the size of the dataset it is taking such a long time to train.

            ...

            ANSWER

            Answered 2020-Oct-06 at 15:18

            There are different ways of training a single model across multiple devices.

            1. Model Parallelism: Where the model is split across the devices.
            2. Data Parallelism: Where the model is replicated across every device, and each replica is trained on a subset of the data.

            In your case, since you have multiple GPUs available on the same machine, you can use Tensorflow's distributed strategies.

            Below is the pseudo-code which illustrates distributed training.

            Source https://stackoverflow.com/questions/64185460

            QUESTION

            mongodb query to exclude only from text index
            Asked 2019-Aug-17 at 14:25

            I have a text index on a array field, this is how the field looks like:

            ...

            ANSWER

            Answered 2019-Aug-17 at 14:25

            As you have array of simple strings, You can simply do:

            Source https://stackoverflow.com/questions/57528066

            QUESTION

            Composition of lambda functions in TensorFlow 2.0
            Asked 2019-Jul-01 at 14:33

            In order to build a big model in TensorFlow 2.0, I am using a functional approach and utilizing the functools module of Python 3.6. I illustrate the problem by showing the code for a specific custom layer.

            ...

            ANSWER

            Answered 2019-Jul-01 at 14:33

            I don't think your problem has anything to do with Tensorflow.

            In this line:

            Source https://stackoverflow.com/questions/56717031

            QUESTION

            A simple case of Graph visualization in TensorFlow 2.0
            Asked 2019-Mar-30 at 17:07

            I would like to simply define a model and visualize its graph in TensorBoard for initial architectural examination. Thus, I would not like to compute anything for this purpose.

            In TensorFlow 1.X, it was simple to achieve inside a tf.Session() where I could simply flush() a summary file writer.

            In TensorFlow 2.0, there is no tf.Session() and hence the question is how do I achieve it ?

            The following is an example code. What additions do I need to make, in order for it to write the graph structure in TensorBoard ?

            ...

            ANSWER

            Answered 2019-Mar-30 at 17:07

            In graph mode use this:

            Source https://stackoverflow.com/questions/55432963

            QUESTION

            multiply values in xml file via c# forrm app
            Asked 2018-Nov-22 at 18:56

            I want to make an XML editor for a game in c#. I've got a c# forms app ready, but i need to figure out how to multiply values in the selected xml file.

            The XML looks like this:

            ...

            ANSWER

            Answered 2018-Nov-22 at 17:26

            I have stripped down XML a bit to omit text we don't need. The code extracts all rewards. You can do with them whatever you need:

            Source https://stackoverflow.com/questions/53435605

            QUESTION

            Initialize a tensorflow model in main(), pass it to __init__ and execute inside another method
            Asked 2018-Nov-17 at 00:49

            I want to build a web service with flask where multiple deep learning models will be applied to certain types of data to give back a result. Currently, I want to load them locally on main() once at start, pass them to init to just initialize them once when the execution of the script starts and then call it every time it is needed to perform a forward pass to return something. So far that's what I ve done with the rest but I don't know how to handle a pure tensorflow model initialization. The below code works fine. Any Suggestions, alterations are appreciated:

            ...

            ANSWER

            Answered 2018-Nov-07 at 16:36

            Are you trying to load a pretrained model and run an inference? By initializing are you referring to loading a model or initializing new weights for each instance this is executed?

            Source https://stackoverflow.com/questions/53192824

            QUESTION

            How to get all layers' activations for a specific input for Tensorflow Hub modules?
            Asked 2018-Nov-09 at 19:23

            I am new to Tensorflow Hub. I want to use I3D module and finetune this network to another dataset and I need to get the last hidden layer as well as some other layers' outputs. I was wondering if there is a way to get the other layers' activations. The only signature provided for I3D is just "default". I think there should be a way to get the output of all layers easily with Tensorflow Hub modules.

            ...

            ANSWER

            Answered 2018-Sep-13 at 06:51

            https://tfhub.dev/deepmind/i3d-kinetics-400/1 (and also the *-600 version) happen to export only the final layer, so there is no properly supported way to get the other layers. (That said, you can always experiment by inspecting the graph and selecting tensors by name, but this has a real risk to stop working with newer module or library versions.)

            Source https://stackoverflow.com/questions/52304359

            QUESTION

            Generic for unsafe: T[,] and T[,,] - C# 7.3+
            Asked 2018-Jul-03 at 16:36

            I run c# 7.3 so please no comments like 'this will never work'

            I have 2 Classes with a common interface: Image2D and Image3D and the Common Interface Image

            ...

            ANSWER

            Answered 2018-Jul-03 at 16:36

            I wonder if the trick here is instead of S Data { get; }, to have (either as Data, or as a different property): ref T Data {get;}.

            Assuming you have underlying arrays, you should be able to use all the zeros to get this reference; so for the 2D case:

            Source https://stackoverflow.com/questions/51159250

            QUESTION

            virt-install in python script
            Asked 2017-Jan-04 at 12:33

            I have been tasked to create virtual device using virt-install by writing it as a shell script. How can I achieve the same in python script? I'm new to both virt-install and python. Thanks!

            ...

            ANSWER

            Answered 2017-Jan-04 at 12:08

            You can use subprocess. Here's a sample:

            Source https://stackoverflow.com/questions/41462916

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

            Vulnerabilities

            No vulnerabilities reported

            Install i3d

            You can download it from GitHub.
            You can use i3d 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.

            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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