DEnc | dotnet library for making encoding videos | Video Utils library

by bloomtom C# Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(6)Vulnerabilities Install Support

kandi X-RAY | DEnc Summary

DEnc is a C# library typically used in Video, Video Utils applications. DEnc has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

This library acts as a simplification interface wrapping around ffmpeg and mp4box. Simply pass in a file and the desired qualities, and the complicated commands and output processing is handled for you. The result is a set of media files and an mpd file.

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Support

DEnc has a low active ecosystem.

It has 6 star(s) with 5 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 4 have been closed. On average issues are closed in 176 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of DEnc is current.

Quality

DEnc has no bugs reported.

Security

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

License

DEnc 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

DEnc 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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DEnc Key Features

No Key Features are available at this moment for DEnc.

DEnc Examples and Code Snippets

No Code Snippets are available at this moment for DEnc.

Community Discussions

Trending Discussions on DEnc

ValueError: The two structures don't have the same sequence length

Access violation writing location in double nested for-loop

module 'tensorflow_hub' has no attribute 'KerasLayer'

how to search for a href from a text file through python regEx?

Keras to CoreML value arror: list.remove(x): x not in list

Stacking convolutional network and recurrent layer

QUESTION

ValueError: The two structures don't have the same sequence length

Asked 2020-Jul-09 at 14:10

Recently I tried to convert mask rcnn in this repository from tensorflow 1 to tensorflow 2.

After re-writing the codes and when I run sample "shape" and execute code

model.train(dataset_train, dataset_val, learning_rate=config.LEARNING_RATE, epochs=1, layers='heads')

I got this ValueError

(ValueError: The two structures don't have the same sequence length. Input structure has length 0, while shallow structure has length 14.)

and don't know how to fix it.

I noticed that the output of this model has 14 elements in model.build() in model.py.

I uploaded my project to this repo. The whole structure is the same as the original repo above, I just separated different parts of this model into different files and review them two times to check typing problems. I cannot certainly say this problem is not caused by typing problem which I cannot find any currently.

Below is the whole error info:

...

ANSWER

Answered 2020-Jul-09 at 14:10

I solved this problem by referring to this repo.

Source https://stackoverflow.com/questions/62680282

QUESTION

Access violation writing location in double nested for-loop

Asked 2019-Jun-18 at 01:08

I've been converting my procedural MATLAB code into OO C++ and it has been quite the learning experience thus far. The error I'm getting is a "0xC0000005: Access violation writing location 0xFDFDFE05", and am not sure what this means.

The following is my MATLAB code, which works:

...

ANSWER

Answered 2019-Jun-17 at 23:48

You’re writing (width*height)x(width*height) elements to a widthxheight matrix. You are thus writing out of bounds.

I guess you might fix this with:

Source https://stackoverflow.com/questions/56640057

QUESTION

module 'tensorflow_hub' has no attribute 'KerasLayer'

Asked 2019-Apr-24 at 05:11

When I'm trying to retrain the model with tensorflow it shows an error:

...

ANSWER

Answered 2019-Apr-24 at 05:11

Please check the tensorflow version. It should be a recent nightly version.

When I use a version like 1.13.1, I see the following warning before the error, no attribute 'KerasLayer':

Source https://stackoverflow.com/questions/55804154

QUESTION

how to search for a href from a text file through python regEx?

Asked 2019-Apr-15 at 18:20

I have bunch of output information messgaes through executing some CLI utility, and at the end of the file has a web URL. I need to use python regex to find that link and show as a output. Below is the 3 lines of code that I have written for my purpose.

...

ANSWER

Answered 2019-Apr-15 at 18:20

You are passing a file object to re.findall, instead of a string. You need to assign the result of the file read to a variable and pass that into re.findall.

fo.read().__str__() should be something like lines = fo.read()
urls = re.findall('https?://(?:[-\w.]|(?:%[\da-fA-F]{2}))+', fo) should be urls = re.findall('https?://(?:[-\w.]|(?:%[\da-fA-F]{2}))+', lines)

Source https://stackoverflow.com/questions/55663644

QUESTION

Keras to CoreML value arror: list.remove(x): x not in list

Asked 2018-Nov-21 at 09:45

Im trying to convert my Keras model (mobilenet + dence layers). The problem is that when I want to use coremltools for conversion I faced with the following problem:

...

ANSWER

Answered 2018-Nov-21 at 09:45

I solved the problem by using proper version of the Keras which includes both Mobilenet (feature extractor) and at the same time "relu6". The only version (up to now) that worked for me is version "2.1.6". By this version I successfully did the conversion. coremltools does not supporting some layers for the moment (including relu6). This issue can be handled by "CustomObjectScope" an it was shown in the provided code. Note that, the network should be trained at this version (2.1.6) again.

Source https://stackoverflow.com/questions/52747020

QUESTION

Stacking convolutional network and recurrent layer

Asked 2018-Jun-01 at 10:13

I'm working on a classifier for video sequences. It should take several video frames on input and output a label, either 0 or 1. So, it is a many-to-one network.

I already have a classifier for single frames. This classifier makes several convolutions with Conv2D, then applies GlobalAveragePooling2D. This results in 1D vector of length 64. Then original per-frame classifier has a Dence layer with softmax activation.

Now I would like to extend this classifier to work with sequences. Ideally, sequences should be of varying length, but for now I fix the length to 4.

To extend my classifier, I'm going to replace Dense with an LSTM layer with 1 unit. So, my goal is to have the LSTM layer to take several 1D vectors of length 64, one by one, and output a label.

Schematically, what I have now:

...

ANSWER

Answered 2018-Jun-01 at 10:13

Expanding on the comments to an answer; the TimeDistributed layer applies the given layer to every time step of the input. Hence, your TimeDistributed would apply to every frame giving an input shape=(F_NUM, W, H, C). After applying the convolution to every image, you get back (F_NUM, 64) which are features for every frame.

Source https://stackoverflow.com/questions/50626630

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

Vulnerabilities

No vulnerabilities reported

Install DEnc

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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