EDSR | tensorflow replicate of Enhanced Deep Residual Networks | Machine Learning library

by iwtw Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(4)Vulnerabilities Install Support

kandi X-RAY | EDSR Summary

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

tensorflow replicate of Enhanced Deep Residual Networks for Single Image Super-Resolution EDSR.

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Quality

Security

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Support

EDSR has a low active ecosystem.

It has 9 star(s) with 2 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 0 have been closed. On average issues are closed in 828 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of EDSR is current.

Quality

EDSR has 0 bugs and 0 code smells.

Security

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

EDSR code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

EDSR 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

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

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

It has 415 lines of code, 29 functions and 5 files.

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

Top functions reviewed by kandi - BETA

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

Build and train dataset
Upsample the input image
Parse the function for training
Embeds a tensorflow tensor
2D convolutional layer
Build a block of tensors
Augment image
Returns a function that filters the input tensor
Decodes an image
Deprocess images
Preprocess images
Parse command line arguments

Get all kandi verified functions for this library.

EDSR Key Features

No Key Features are available at this moment for EDSR.

EDSR Examples and Code Snippets

No Code Snippets are available at this moment for EDSR.

Community Discussions

Trending Discussions on EDSR

Exception with OpenCv DnnSuperResImpl (C++)

What does image0.dims == 2 mean? How can I solve this?

cv2.error: OpenCV(4.3.0) ../opencv_contrib/modules/dnn_superres/src/dnn_superres.cpp:97: error: (-2:Unspecified error) Model not specified

why have an NullPointerException that I execute the request?

QUESTION

Exception with OpenCv DnnSuperResImpl (C++)

Asked 2022-Mar-18 at 16:15

I have a problem with the upsample function from the dnnsuperres pack of OpenCV. I am transferring a bmp via a pipe from one application to another. The image resides in datamem, which is an unsigned char array. I use the pipe to transfer many other things, so I transfer the data in the most common datatype. If I do the following:

...

ANSWER

Answered 2022-Mar-18 at 16:15

the DnnSuperResImpl will only accept 3 channel, BGR images, not your 4 channel bitmaps.

convert your image to 3 channels, while decoding it:

Source https://stackoverflow.com/questions/71526324

QUESTION

What does image0.dims == 2 mean? How can I solve this?

Asked 2020-Sep-16 at 17:18

import cv2
from cv2 import dnn_superres
import os

sr = dnn_superres.DnnSuperResImpl_create()
path = "D:/Nadia - Il segreto della Pietra Azzurra/EDSR_x2.pb"
sr.readModel(path)
sr.setModel("edsr", 2)

i = 0
for _ in range(39):
    i += 1
    fileprocessed = 'Nadia - Il segreto della Pietra Azzurra ' + str(i) + 'ep'
    print('Processando il file ' + fileprocessed)
    vidcap = cv2.VideoCapture(fileprocessed + '.mp4')
    os.mkdir(fileprocessed)
    os.chdir(fileprocessed)
    success,image = vidcap.read()
    count = 0
    while success:
        cv2.imwrite('frame%d.jpg' % count, image)
        os.system("pause")
        image = cv2.imread('frame%d.jpg')
        result = sr.upsample(image)
        cv2.imwrite("frame%dup.jpg" % count, result)
        os.system("pause")
        success,image = vidcap.read()
        count += 1
    print('Concluso con il file ' + fileprocessed)
    os.remove(fileprocessed  + '.mp4')
    os.system('cd ..')

...

ANSWER

Answered 2020-Sep-16 at 17:17

Very simply, the listed function has a check to ensure that it works on only 2-dimensional images. You somehow fed it an image with a different quantity of dimensions. You need to check back through your data dependencies (print statements are useful) to see where you slipped into, say, a 3-D representation.

In particular, examine the image that you use in the indicated line. Just before that, check with

Source https://stackoverflow.com/questions/63924978

QUESTION

cv2.error: OpenCV(4.3.0) ../opencv_contrib/modules/dnn_superres/src/dnn_superres.cpp:97: error: (-2:Unspecified error) Model not specified

Asked 2020-Jul-24 at 19:09

Im trying out this article;

https://towardsdatascience.com/deep-learning-based-super-resolution-with-opencv-4fd736678066

this is the code copied out of the article;

import cv2 from cv2 import dnn_superres

sr = dnn_superres.DnnSuperResImpl_create()

image = cv2.imread('./input.png')

path = "EDSR_x3.pb" sr.readModel(path)

sr.setModel("edsr", 3)

result = sr.upsample(image)

cv2.imwrite("./upscaled.png", result)

i also tried opencv Super Resolution Tutorial;

https://docs.opencv.org/master/d5/d29/tutorial_dnn_superres_upscale_image_single.html

import cv2 from cv2 import dnn_superres

sr = dnn_superres.DnnSuperResImpl_create()

image = cv2.imread('./image.png')

path = "EDSR_x4.pb" sr.readModel(path)

sr.setModel("edsr", 4)

result = sr.upsample(image)

cv2.imwrite("./upscaled.png", result)

My enviroment is anaconda3 opencv 4.3.0. I either get the error from the title or i get "killed" when i run the opencv example.

*My file directory is all on the same level of the sample codes. I would just change my image file names. I did try to compile opencv and opencv_contrib from cmake but, i didn't know how to have python refer to opencv and opencv_contrib from source. ifollow this documentation to install opencv from source; https://d*ocs.opencv.org/3.4/d2/de6/tutorial_py_setup_in_ubuntu.html

I opted to use anaconda wrapping of opencv 4.3.0 because i ran into too many dependency and wrongly installed package problems.

My friend from a meetup managed to apply the code from the article just as the article depicted while i tried to follow exactly what he did, using an anaconda enviorment. Would my problem stem from my virtual enviorment or opencv package version or the code itself? i did have another colleague run my code from my github branch and he had my exact same problems. How should i apprach the bugs im having and apply the super resolution examples i found?

...

ANSWER

Answered 2020-Jun-30 at 13:35

The error 'Model not specified' comes from the fact that the Net is empty. You have to actually download the model and then provide the path to the 'sr.readModel()' function.

If you did that and it still does not work, you could try these two things:

Try a smaller image (in .png format).
Build OpenCV from source. Do not forget the contrib modules (this is where the dnn_superres module resides). You said you had a problem linking python. I would suggest to use this tutorial. After following that tutorial, do the following command (after you already did sudo make install), to link the python libraries:

sudo ldconfig

Source https://stackoverflow.com/questions/62408277

QUESTION

why have an NullPointerException that I execute the request?

Asked 2020-Jan-22 at 15:16

I calculate the sum of to variable getting from 2 request, the result is recovered but when I want to exploit it an NullPointerException is thrown:

...

ANSWER

Answered 2020-Jan-22 at 13:43

Where is the Exception? There is no NullPointerException. It looks you are getting confused between variables having null value and NullPointerException which is expected as you are returning SUM(INTERNAL_AMOUNT); a single value whose value is 93648.40. Other variables are null as expected.

Source https://stackoverflow.com/questions/59860702

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

Vulnerabilities

No vulnerabilities reported

Install EDSR

You can download it from GitHub.
You can use EDSR 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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