i3d | Train I3D on NTU-RGBD dataset in keras | Machine Learning library
kandi X-RAY | i3d Summary
kandi X-RAY | i3d Summary
Train I3D on NTU-RGB+D dataset in keras
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Top functions reviewed by kandi - BETA
- Inflated Inception Inflated3
- Obtain input shape
- Batch normalization
- Produce a block of non - local blocks
- Create convolutional convolutional layer
- Flattens the input tensor
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QUESTION
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 09:50If you use run_in_executor
, target function should not be async
. You need to remove async
keyword before def inference()
.
QUESTION
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 15:18There are different ways of training a single model across multiple devices.
- Model Parallelism: Where the model is split across the devices.
- 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.
QUESTION
I have a text index on a array field, this is how the field looks like:
...ANSWER
Answered 2019-Aug-17 at 14:25As you have array of simple strings, You can simply do:
QUESTION
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 14:33I don't think your problem has anything to do with Tensorflow.
In this line:
QUESTION
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 17:07In graph mode use this:
QUESTION
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 17:26I 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:
QUESTION
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 16:36Are 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?
QUESTION
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 06:51https://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.)
QUESTION
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 16:36I 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:
QUESTION
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 12:08You can use subprocess. Here's a sample:
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