csgm | Code to reproduce results from the paper | Computer Vision library

by AshishBora Python Version: Current License: MIT

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

kandi X-RAY | csgm Summary

csgm is a Python library typically used in Artificial Intelligence, Computer Vision, Generative adversarial networks applications. csgm has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Code to reproduce results from the paper: "Compressed Sensing using Generative Models".

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csgm has a low active ecosystem.

It has 179 star(s) with 67 fork(s). There are 17 watchers for this library.

It had no major release in the last 6 months.

There are 3 open issues and 10 have been closed. On average issues are closed in 77 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of csgm is current.

Quality

csgm has 0 bugs and 0 code smells.

Security

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

csgm code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

csgm 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

csgm 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 are not available. Examples and code snippets are available.

Top functions reviewed by kandi - BETA

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

Visualize the dataset
Make a gif from a list of images
Merge multiple images together
Save images
Plot the best match
Get the metrics for the given directories
Find the best match for a given pattern
Get the metrics for the expt_dir
A generator of hparams
Conv2d convolutional layer
Linear layer
End to end
View image matrices
The discriminator
2D convolutional convolution layer
Download LSUN dataset
Download lmdb data from LSUN
View an image
Return list of image names
Create scripts for hparams
Download Celeb - A
Lasso VLasso
Return a dict of model input images
Download MNIST dataset
Generate the basis function
Saves an image

Get all kandi verified functions for this library.

csgm Key Features

No Key Features are available at this moment for csgm.

csgm Examples and Code Snippets

No Code Snippets are available at this moment for csgm.

Community Discussions

Trending Discussions on csgm

how to find type or print variable details\content in tensorflow

example code giving AttributeError: 'AdamOptimizer' object has no attribute '_beta1_power'

QUESTION

how to find type or print variable details\content in tensorflow

Asked 2018-Jul-15 at 12:46

I am following this issue trying to use my own data-set with the code. The owner suggested to modify this line in the source code. I am very new to TF and python. I tried print and tf.Print() to see what is the content of restore_dict. I admit I do not understand the code line {var.op.name: var for var in tf.global_variables() if var.op.name in restore_vars}. What are the brackets for? what is var for var in?

Can anyone help clarify how to debug this?

...

ANSWER

Answered 2018-Jul-15 at 12:46

{} is for dictionary in python. You can check more about dictionaries in python here.

now lets check this line: {var.op.name: var for var in tf.global_variables() if var.op.name in restore_vars} What you see is python comprehension , it is popular in python and you can find a detailed explanation here.

It says loop through tf.global_variables() and check if var.op.name is present in restore_vars. If it is then create var.op.name:var (key-value) pair in dictionary.

Source https://stackoverflow.com/questions/51348246

QUESTION

example code giving AttributeError: 'AdamOptimizer' object has no attribute '_beta1_power'

Asked 2018-Jul-09 at 10:21

I am trying to run the example ./quick_scripts/celebA_superres.sh "./images/182659.jpg" under Demo section. I am new to python and getting the following error:

AttributeError: 'AdamOptimizer' object has no attribute '_beta1_power'

As best I understand, an instance of an object called 'AdamOptimizer' does not know what to do with this type of variable. The code is the following:

...

ANSWER

Answered 2018-Jul-09 at 10:21

The AdamOptimizer is certainly hiding in opt: the line raising the error is only called when isinstance has determined that opt is an instance of tf.train.AdamOptimizer

Source https://stackoverflow.com/questions/51241520

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

Vulnerabilities

No vulnerabilities reported

Install csgm

You can download it from GitHub.
You can use csgm 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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