FISR | Official repository of FISR | Computer Vision library

by JihyongOh Python Version: Current License: No License

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

kandi X-RAY | FISR Summary

FISR is a Python library typically used in Artificial Intelligence, Computer Vision applications. FISR has no vulnerabilities, it has build file available and it has low support. However FISR has 8 bugs. You can download it from GitHub.

Running the test option. the performances (PSNR & SSIM on VFI-SR & SR separately) will be measured as in the paper. PSNR - VFI-SR: 37.86 [dB], SR: 48.07 [dB], SSIM – VFI-SR: 0.9743, SR: 0.9921. Running the FISR_for_video option. Please set the directory name accordingly. Due to GPU memory constraints.

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Quality

Security

License

Reuse

Support

FISR has a low active ecosystem.

It has 67 star(s) with 10 fork(s). There are 6 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 9 have been closed. On average issues are closed in 161 days. There are 3 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of FISR is current.

Quality

FISR has 8 bugs (0 blocker, 0 critical, 7 major, 1 minor) and 370 code smells.

Security

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

FISR code analysis shows 0 unresolved vulnerabilities.

There are 4 security hotspots that need review.

License

FISR 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

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

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

FISR saves you 1626 person hours of effort in developing the same functionality from scratch.

It has 3612 lines of code, 153 functions and 16 files.

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

Top functions reviewed by kandi - BETA

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

Build the model
Compute the model
Bottleneck res
2D convolutional layer
Train the model
Load image
Loads test samples
Get num_samples samples
Generator for FISR format
Read a float file from a flo file
Get the samples based on the given flow ID
Archive the plot of two images
Read data from a flo file
Configure training ops
Archive a plot of two images
Write optical flow map
Collect training flow stats
Print the model configuration
Displays the image pairs ws
Plot image pairs ws
Test the model
Run FISR on a video
Parse command line arguments
Run inference on input samples
Predict flows from input images
Build backbone graph
Loads all the images

Get all kandi verified functions for this library.

FISR Key Features

No Key Features are available at this moment for FISR.

FISR Examples and Code Snippets

No Code Snippets are available at this moment for FISR.

Community Discussions

Trending Discussions on FISR

Simple calculator in java

Grouping same xml elements using XSLT 2

Remove elements dynamically using xslt

Can't call data from second string

Grouping html elements by attribute value

HTML to XML conversion using XSLT 2.0

Why is my Matlab hgtransform matrix invalid?

QUESTION

Simple calculator in java

Asked 2019-Mar-14 at 08:42

I'm trying to create simple calculator in java with user input for first number and second number and then with while loop calculate as user like but when I wrote for example a instead of sum two number it broke loop!! why?

...

ANSWER

Answered 2019-Mar-14 at 05:18

Perhaps because the while loop will terminate except for "E"?

Source https://stackoverflow.com/questions/55155374

QUESTION

Grouping same xml elements using XSLT 2

Asked 2018-Dec-04 at 10:57

I have an xml document having same element repeated. I need to bring the adjacent div elements inside another element. Below my xml document contains p and div elements. All the div element should be grouped inside the division. If it is single or with adjacent.

...

ANSWER

Answered 2018-Dec-04 at 10:57

You have a template matching body but there are no body elements in your XML. You probably meant section here.

For the grouping, you should really be selecting all elements, not just div, and then for the group-adjacent you need an expression that returns true if it the element is a div, or false otherwise.

Try this XSLT

Source https://stackoverflow.com/questions/53611200

QUESTION

Remove elements dynamically using xslt

Asked 2018-Jul-05 at 10:35

In html to xml process I need to remove some elements that have specific attributes. This is done inside the variable by dynamically. Below is the input and the required output.

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ANSWER

Answered 2018-Jul-05 at 10:35

As you are already postprocessing the grouped elements you could simply add two templates

Source https://stackoverflow.com/questions/51187728

QUESTION

Can't call data from second string

Asked 2017-May-14 at 00:00

I have looked through some of the other questions asking about a similar issue, but I am trying to call the double 'thirdPrice' from calculationMethod() to main(). The purpose of this program is to request data in main(), pass some of the info to calculationMethod() and then return that data back to main() for final output. I am using DrJava, here is my code so far.

...

ANSWER

Answered 2017-May-14 at 00:00

Why do you need a variable at all?

Call the method.

Source https://stackoverflow.com/questions/43959102

QUESTION

Grouping html elements by attribute value

Asked 2017-Mar-07 at 14:07

I need to convert a HTML file to XML format using XSLT 2.0. Here I need to group p tags with attributes values "n1","n2","n3" etc. as lists with level 1, level 2 and level 3. Below is my input

...

ANSWER

Answered 2017-Mar-07 at 14:07

You haven't shown any context nor explained the rules, it seems you want to first find adjacent p elements with the class as n1, n2, n3 and then write a recursive grouping to get the list nesting:

Source https://stackoverflow.com/questions/42648628

QUESTION

HTML to XML conversion using XSLT 2.0

Asked 2017-Mar-02 at 00:05

I need to convert a HTML file to XML format using XSLT 2.0. The HTML file contains only

tag with classes h1, h2, h3, . . .

...

ANSWER

Answered 2017-Mar-02 at 00:05

You can try this:

Source https://stackoverflow.com/questions/42532272

QUESTION

Why is my Matlab hgtransform matrix invalid?

Asked 2017-Feb-22 at 14:02

I am attempting to apply a transform matrix by setting the 'Matrix' property of a matlab hgtransform object. The transform matrix is below:

...

ANSWER

Answered 2017-Feb-22 at 14:02

The answer was that Matlab only accepts non-negative scaling terms, see Transforms Supported by hgtransform

Source https://stackoverflow.com/questions/42298449

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

Vulnerabilities

No vulnerabilities reported

Install FISR

(i) For testing the our 4K test dataset input:. (ii) For FISR testing on an one single folder, which contains a single scene (.png file input in YUV format): '--phase' as 'FISR_for_video', ‘--exp_num' as 1, ‘--frame_num' as numbers of input frames you want to convert, in our example, 5, ‘--frame_folder_path’ as folder path that you want to apply FISRnet, in our example, 'E:/FISR_Github/FISR_test_folder/scene1', '--FISR_input_size' as (1080, 1920) (ex) for 2K), and make sure that you have to place all our modified files (we consider 'relative paths' for a convenience) in 'FISR_tfoptflow' for computing flows and warping images automatically. Please also refer a description of How to make flow and warped files by using PWC-Net.
Download the source code in a directory of your choice <source_path>.
Download our 4K test dataset from this link and unzip the 'test' folder in <source_path>/data/test, then you can get an input dataset (LR LFR), a flow data, a warped data and an output dataset (HR HFR) placed in <source_path>/data/test/LR_LFR, <source_path>/data/test/flow , <source_path>/data/test/warped and <source_path>/data/test/HR_HFR, respectively.
Download the pre-trained weights from this link and then unzip it to place in <source_path>/checkpoint_dir/FISRnet_exp1.
Run main.py with the following options in parse_args: (i) For testing the our 4K test dataset input: '--phase' as 'test', '--exp_num' as 1, '--test_data_path' as './data/test/LR_LFR', '--test_flow_data_path' as './data/test/flow/LR_Surfing_SlamDunk_test_ss1.flo', '--test_warped_data_path' as './data/test/warped/LR_Surfing_SlamDunk_test_ss1_warp.mat', ‘--test_label_path’ as './data/test/HR_HFR'
number for experiment, for example 7, which yields ‘FISRnet_exp7’.
Download the source code in a directory of your choice <source_path>.
Download our train dataset from this link and unzip the 'train' folder in <source_path>/data/train, then you can get an input dataset (LR LFR), a two flow data (stride 1&2), a two warped data (stride 1&2) and an output dataset (HR HFR) placed in <source_path>/data/train/LR_LFR, <source_path>/data/train/flow , <source_path>/data/train/warped and <source_path>/data/train/HR_HFR, respectively.
Run main.py with the following options in parse_args: '--phase' as 'train', ‘--exp_num’, as number for experiment, for example 7, which yields ‘FISRnet_exp7’ '--train_data_path' as './data/train/LR_LFR/LR_Surfing_SlamDunk_5seq.mat', '--train_flow_data_path' as './data/train/flow/LR_Surfing_SlamDunk_5seq_ss1.flo', '--train_flow_ss2_data_path' as './data/train/flow/LR_Surfing_SlamDunk_5seq_ss2.flo', '--train_warped_data_path' as './data/train/warped/LR_Surfing_SlamDunk_5seq_ss1_warp.mat', '--train_warped_ss2_data_path' as './data/train/warped/LR_Surfing_SlamDunk_5seq_ss2_warp.mat', '--train_label_path' as './data/train/HR_HFR/HR_Surfing_SlamDunk_5seq.mat'