voxel-flow | Video Frame Synthesis using Deep Voxel Flow | Computer Vision library

by liuziwei7 Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | voxel-flow Summary

voxel-flow is a Python library typically used in Artificial Intelligence, Computer Vision, Deep Learning, Pytorch, Generative adversarial networks applications. voxel-flow has no vulnerabilities and it has low support. However voxel-flow has 1 bugs and it build file is not available. You can download it from GitHub.

Deep Voxel Flow (DVF) is the author's re-implementation of the video frame synthesizer described in: "Video Frame Synthesis using Deep Voxel Flow" Ziwei Liu, Raymond A. Yeh, Xiaoou Tang, Yiming Liu, Aseem Agarwala (CUHK & UIUC & Google Research) in International Conference on Computer Vision (ICCV) 2017, Oral Presentation. Further information please contact Ziwei Liu.

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voxel-flow has a low active ecosystem.

It has 193 star(s) with 50 fork(s). There are 15 watchers for this library.

It had no major release in the last 6 months.

There are 14 open issues and 2 have been closed. On average issues are closed in 215 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of voxel-flow is current.

Quality

voxel-flow has 1 bugs (0 blocker, 0 critical, 1 major, 0 minor) and 13 code smells.

Security

voxel-flow has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

voxel-flow code analysis shows 0 unresolved vulnerabilities.

There are 2 security hotspots that need review.

License

voxel-flow does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

voxel-flow releases are not available. You will need to build from source code and install.

voxel-flow has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions, examples and code snippets are available.

voxel-flow saves you 119 person hours of effort in developing the same functionality from scratch.

It has 301 lines of code, 26 functions and 9 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed voxel-flow and discovered the below as its top functions. This is intended to give you an instant insight into voxel-flow implemented functionality, and help decide if they suit your requirements.

Builds inference model
bilinear interpolation
Connects the convolutional network
Create a meshgrid
Compute survival loss between predictions and targets
L1 loss
Process examples
Read an image file
Get data from prefetch queue

Get all kandi verified functions for this library.

voxel-flow Key Features

No Key Features are available at this moment for voxel-flow.

voxel-flow Examples and Code Snippets

No Code Snippets are available at this moment for voxel-flow.

Community Discussions

Trending Discussions on voxel-flow

How to slice a tensor with 'None' dimension?

TypeError: 'Conv2dLayer' object is not subscriptable

QUESTION

How to slice a tensor with 'None' dimension?

Asked 2019-Feb-13 at 15:58

I am just using TensorFlow to realise a CNN model called DVF: https://github.com/liuziwei7/voxel-flow.

The output of the model is 'deconv4' with the shape of [batch_size, 256, 256,3], then I need to extract optical flow using command:'flow = tf.slice(deconv4.outputs, [0,0,0,0], [batch_size, 256, 256, 2])'.

However, if the 'batch_size' is 'None', how do I slice the 'flow' tensor?

Thanks in advance.

The shape of 'deconv4' is [?,256,256,3] and I want to obtain the 'flow' with the shape of [?,256,256,2] from the 'deconv4'.

...

ANSWER

Answered 2019-Feb-13 at 15:58

You should be able to replace your batch_size with None and that should do the trick.

Alternatively, this: tf.shape(x)[0] will give you a variable tensor with your batch size.

Source https://stackoverflow.com/questions/54674123

QUESTION

TypeError: 'Conv2dLayer' object is not subscriptable

Asked 2019-Jan-29 at 21:59

I am using TensorFlow to reconstruct a CNN model called 'Deep Voxel Flow': https://github.com/liuziwei7/voxel-flow.

The output of the model is a tensor with the shape of [16,256,256,3] (16 is the batch size, 256 is the size of feature map, and 3 is the number of channels). When I tried to extract first 2 channels from the 4D tensor('flow=deconv4[:, :, :, 0:2]'), but I got an error: 'TypeError: 'Conv2dLayer' object is not subscriptable'.

...

ANSWER

Answered 2019-Jan-29 at 16:40

You should replace the use of Conv2D by a convolution layer, that returns a tensor:

Source https://stackoverflow.com/questions/54424933

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

Vulnerabilities

No vulnerabilities reported

Install voxel-flow

Run the training script:
Run the testing script:
Run the evaluation script:

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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