ssim | structural similarity index is a method | Computer Vision library

by bytespider JavaScript Version: 0.0.0 License: MIT

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kandi X-RAY | ssim Summary

ssim is a JavaScript library typically used in Artificial Intelligence, Computer Vision applications. ssim has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can install using 'npm i ssim' or download it from GitHub, npm.

The structural similarity (SSIM) index is a method for measuring the similarity between two images. The SSIM index is a full reference metric; in other words, the measuring of image quality based on an initial uncompressed or distortion-free image as reference. SSIM is designed to improve on traditional methods like peak signal-to-noise ratio (PSNR) and mean squared error (MSE), which have proven to be inconsistent with human eye perception.

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Support

ssim has a low active ecosystem.

It has 12 star(s) with 1 fork(s). There are 2 watchers for this library.

It had no major release in the last 12 months.

ssim has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of ssim is 0.0.0

Quality

ssim has no bugs reported.

Security

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

License

ssim 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

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

Deployable package is available in npm.

Installation instructions are not available. Examples and code snippets are available.

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ssim Key Features

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ssim Examples and Code Snippets

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Community Discussions

Trending Discussions on ssim

Increase ffmpeg precision for filters like SSIM, PSNR

Pytorch transfer learning error: The size of tensor a (16) must match the size of tensor b (128) at non-singleton dimension 2

Combining add_loss with keras.losses in multioutput models using intermediate outputs

ffmpeg: How to save SSIM and PSNR to a file?

InvalidArgumentError: Input 1 of node while_1/Merge_1 was passed float from while_1/NextIteration_1:0

tk.h looks for tcl.h in /usr/include but tcl.h is in /usr/include/tcl. I don't have write tk.h privilege to fix code

How to compare first frame to other frame of video opencv python

Problem with tf.while_loop InvalidArgumentError: Index out of range using input dim 0; input has only 0 dims [Op:StridedSlice] name: strided_slice/

Using SSIM loss in TensorFlow returns NaN values

Why does tf.image.ssim always return AttributeError: 'numpy.ndarray' object has no attribute 'get_shape'

QUESTION

Increase ffmpeg precision for filters like SSIM, PSNR

Asked 2021-Jun-03 at 10:29

I am trying to calculate the ssim and psnr of an image using ffmpeg; however, the results are only upto 2 decimal places. Is there a way to increase the precision of the results (higher the better)?

Output:

...

ANSWER

Answered 2021-May-24 at 17:27

The console output shows more decimal places:

Source https://stackoverflow.com/questions/67659616

QUESTION

Pytorch transfer learning error: The size of tensor a (16) must match the size of tensor b (128) at non-singleton dimension 2

Asked 2021-May-13 at 16:00

Currently, I'm working on an image motion deblurring problem with PyTorch. I have two kinds of images: Blurry images (variable = blur_image) that are the input image and the sharp version of the same images (variable = shar_image), which should be the output. Now I wanted to try out transfer learning, but I can't get it to work.

Here is the code for my dataloaders:

...

ANSWER

Answered 2021-May-13 at 16:00

Here your you can't use alexnet for this task. becouse output from your model and sharp_image should be shame. because convnet encode your image as enbeddings you and fully connected layers can not convert these images to its normal size you can not use fully connected layers for decoding, for obtain the same size you need to use ConvTranspose2d() for this task.

your encoder should be:

Source https://stackoverflow.com/questions/67519746

QUESTION

Combining add_loss with keras.losses in multioutput models using intermediate outputs

Asked 2021-May-11 at 11:04

Previously in another post (Keras multioutput custom loss with intermediate layers output) I discussed the problem I was having. Finally, this problem was fixed in this way:

...

ANSWER

Answered 2021-May-11 at 11:04

I was able to reproduce your above errors in TF 2.3. But in TF 2.4 and nightly TF 2.6, there was no such issue, but when I tried to plot the model I got another error, though no issue with the model. summary() and also training with .fit. However, if the eager mode is disabled, then there wouldn't be an issue with TF 2.3 / 2.4.

Details

In TF 2.3, I can reproduce your issue same shown below. To resolve this, just disable the eager mode showed above.

In TF 2.4 / TF Nightly 2.6, I didn't need to disable the eager mode. The model was compiled fine and train as expected. But the only issue occurs when I tried to plot the model, it gave the following error

Source https://stackoverflow.com/questions/67467309

QUESTION

ffmpeg: How to save SSIM and PSNR to a file?

Asked 2021-Mar-07 at 14:09

I'm a ffmpeg newbie. I would like my script (on Windows) to output the average PSNR and average SSIM values to a file. (but not the values for every frame) I can output them to the standard output but not to a file.

I use this line:

...

ANSWER

Answered 2021-Mar-04 at 18:28

Using ssim & psnr filters

On Linux and macOS you can use grep:

Source https://stackoverflow.com/questions/66470246

QUESTION

InvalidArgumentError: Input 1 of node while_1/Merge_1 was passed float from while_1/NextIteration_1:0

Asked 2021-Feb-23 at 06:58

I have a TensorArray (a) to store the values computed within the tf.while_loop. However, I cannot convert the TensorArray to a Numpy array. For some reason, there seems to be a mismatch between int32 and float32.

...

ANSWER

Answered 2021-Feb-23 at 06:58

This sounds like datatype mismatch in tf.while_loop. Take a look at working code below.

Source https://stackoverflow.com/questions/65600808

QUESTION

tk.h looks for tcl.h in /usr/include but tcl.h is in /usr/include/tcl. I don't have write tk.h privilege to fix code

Asked 2021-Feb-22 at 13:26

I am using Ubuntu 20.04.2 LTS via VMWare on macOS BigSur. I have the latest versions of tcl, tcl-dev, tk and tk-dev installed - version 8.6. I want to compile the source code for the Architecture lab project. The source code is from 2016 and located in the self-study handout. Compilation fails [with error messages detailed below], possibly due to the source code relying of tcl8.5 instead of the latest version. Would installing versions 8.5 of these packages solve the problem?

To make the GUIs work, in the project Makefile I need to assign one variable [which I have done] and update two more so that gcc can find the relevant libraries [libtcl.so and libtk.so] and header files [tcl.h and tk.h].

...

ANSWER

Answered 2021-Feb-22 at 13:26

Direct access to the Tcl_Interp struct has for long been deprecated. Given that this is a single source file (psim.c), you might want to patch it to properly use:

Tcl_SetResult(), for example: Change interp->result = "No arguments allowed"; to Tcl_SetResult(interp, "No arguments allowed", TCL_STATIC);
Tcl_GetStringResult(), for example: Change fprintf(stderr, "Error Message was '%s'\n", sim_interp->result); to fprintf(stderr, "Error Message was '%s'\n", Tcl_GetStringResult(sim_interp));

This is backwards compatible.

Not recommended, but doable: Set the macro

Source https://stackoverflow.com/questions/66291922

QUESTION

How to compare first frame to other frame of video opencv python

Asked 2021-Feb-12 at 18:53

import cv2
cap = cv2.VideoCapture(input_path)

count = 0
n=0
while True:
    ret, frame = cap.read()
    
    if ret:
        # You can do processing on this frame variabqle
        roi = frame[343:489, 572:759]
#         frame = cv2.resize(roi, None, fx=0.9, fy=0.9)
          
        cv2.imshow("roi", roi)
    

    
        cv2.imshow("image", frame)
        if cv2.waitKey(1) & 0xFF == ord('q'):
            break
    else:
        break
    

    
cv2.destroyAllWindows()

...

ANSWER

Answered 2021-Feb-12 at 18:53

@Ceopee is right and there is no error in that tutorial.

The idea is simple:

Source https://stackoverflow.com/questions/66173209

QUESTION

Problem with tf.while_loop InvalidArgumentError: Index out of range using input dim 0; input has only 0 dims [Op:StridedSlice] name: strided_slice/

Asked 2021-Jan-01 at 08:23

I'm trying to parallelize this chunk of code using Tensorflow -

...

ANSWER

Answered 2021-Jan-01 at 08:23

I have fixed your code.

There were 2 issues. The main one was your return from the body function. You need to understand that at every iteration of the "loop", the output of the previous iteration while be inject to the body function. In your code, you were return the sim value as the first column in the tupple. So, in the second "iteration", you don't have t1 there anymore. You have just a single value. That was the reason why you were getting that error. You were trying to index the "sim" value and not t1.

The other issue was when calling tf.image.ssim. It expects a batch of images, it basically needs [1,64,64,1] but you were passing [64,64,1]

Source https://stackoverflow.com/questions/65525981

QUESTION

Using SSIM loss in TensorFlow returns NaN values

Asked 2020-Dec-15 at 13:04

I'm training a network with MRI images and I wanted to use SSIM as loss function. Till now I was using MSE, and everything was working fine. But when I tried to use SSIM (tf.image.ssim), I get a bunch of these warining messages:

...

ANSWER

Answered 2020-Nov-28 at 20:44

In my experience this warning is typically related to attempting plotting a point with a coordinate at infinity. Of course you should really show us more code for us to help you effectively.

Source https://stackoverflow.com/questions/64980914

QUESTION

Why does tf.image.ssim always return AttributeError: 'numpy.ndarray' object has no attribute 'get_shape'

Asked 2020-Dec-14 at 19:52

I am trying to use tf.image.ssim to get the similarity between 2 images, however, it returns an attribute error. Since I am just directly using the TensorFlow code, I don't see any way to debug this issue.

...

ANSWER

Answered 2020-Dec-12 at 06:57

MNIST returns a grayscale image which is in 2D, SSIM requires the image to be in 3D. So just expand the dims of the returned image that you want to compare and apply SSIM on it.

Source https://stackoverflow.com/questions/65260831

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

Vulnerabilities

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Install ssim

You can install using 'npm i ssim' or download it from GitHub, npm.

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