HSV | Hubbub Suppression for Voice | Speech library

by masyagin1998 C Version: Current License: MIT

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kandi X-RAY | HSV Summary

HSV is a C library typically used in Artificial Intelligence, Speech applications. HSV has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

HSV is a Hubbub Suppression for Voice tool, written in pure C.

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Support

HSV has a low active ecosystem.

It has 11 star(s) with 1 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 1 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of HSV is current.

Quality

HSV has no bugs reported.

Security

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

License

HSV 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

HSV 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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HSV Key Features

No Key Features are available at this moment for HSV.

HSV Examples and Code Snippets

No Code Snippets are available at this moment for HSV.

Community Discussions

Trending Discussions on HSV

How to recolor image object using mask?

Conversion RGB into LAB for multiple values

Removing Green Background and Replace it with other

How to assign image components in pyvips?

Generating a plot for all the time steps of netcdf file into a map

What's the proper way to colorize a 16-bit depth image?

HSV colour range in openCV

Seaborn scatterplot does not color correctly 'hue'

How to mask infected area from the healthy area?

What colorspace is mix-blend-mode saturation from?

QUESTION

How to recolor image object using mask?

Asked 2021-Jun-13 at 03:03

Trying to recolor the hair using a mask. Firstly segmented hair from the main image & trying to make it a realistic one changing HSV value but according to my code the result is not the accurate output that i am looking for. Any solution?

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ANSWER

Answered 2021-Jun-13 at 03:03

I have done a simple program for your project

first I used this code to get a mask https://docs.opencv.org/3.4/da/d97/tutorial_threshold_inRange.html . This code uses inRange function.

after that I used the following code to get the results

Source https://stackoverflow.com/questions/67947525

QUESTION

Conversion RGB into LAB for multiple values

Asked 2021-Jun-07 at 12:55

I wrote a code that gives me the average RGB value of an image. Now I want besides the RGB value, also a LAB value. I found a code to do the conversion, but when I run the code, it only gives me the last value.

So with this code I receive the average RGB and place it in a dataframe:

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ANSWER

Answered 2021-Jun-07 at 12:55

Short Answer

Check this question (possible duplicate).

More details on the official documentation.

Long Answer

Use these formula to get your own conversion.

Please keep in mind that there is not a single Lab (depending on the CIE you use), so you might want to tweak the values if necessary.

Source https://stackoverflow.com/questions/67869955

QUESTION

Removing Green Background and Replace it with other

Asked 2021-Jun-01 at 13:04

So i'm having a problem with removing green background and replacing it, . I have this black box in a green background. When i replaced it with np.where(pixel == 0), the program chooses the black box and the mask to replace with another background. How do i fix this problem?

Here's my code:

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ANSWER

Answered 2021-Jun-01 at 13:04

I think there are some confusion on what your image is and what your background is. You apply the hsv conversion to the black and green image to detect the green then you do a bitwise_and mask with that mask and the same input image. My code below gives, I believe, what you are after.

Source https://stackoverflow.com/questions/67788311

QUESTION

How to assign image components in pyvips?

Asked 2021-May-31 at 08:49

I am using the pyvips library which has a special object for images, these objects have the 3 bands corresponding to HSV (or other) colour space components. The problem is that, after filtering one of the HSV components, it is not allowed to assign it again to the ogirinal image. On this code you can see what is written and the error.

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ANSWER

Answered 2021-May-31 at 08:49

It worked for me finally by avoiding the auxiliary variables.

Source https://stackoverflow.com/questions/67770255

QUESTION

Generating a plot for all the time steps of netcdf file into a map

Asked 2021-May-25 at 14:36

I was wondering if it's possible to plot all the steps from this single netcdf file into a separate plots.

Step 113 means that the current accessed data is for the date of October 22,2019. The Step 0 is July 1,2019. There are 135 time steps overall. Which means I need to produce 135 maps for each and single day.

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ANSWER

Answered 2021-May-25 at 14:36

One example of making a loop over time variable and maps of variable inside the loop, is here:

Source https://stackoverflow.com/questions/67583375

QUESTION

What's the proper way to colorize a 16-bit depth image?

Asked 2021-May-24 at 21:51

I have a depth image from an ifm 3D camera which utilizes a time-of-flight concept to capture depth images. The camera comes with a software which showcases the image as seen below:

I could extract the depth data from the camera and have been trying to recreate their representation, but I've been unsuccessful. No matter how I try to normalize the data range or change the data type format, I always end up with an image that is "darker" in the center and gets lighter as it moves away. The color range doesn't match either for some reason. Here's the main code I tried:

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ANSWER

Answered 2021-May-24 at 20:57

Here is one way in Python/OpenCV. It is not exact, but you can modify the colormap or change the stretch. Basically, I create a 7 color LUT with colors: red, orange, yellow, blue and violet. I note that using HSV will produce red at both ends and your color map that was used only went from red to violet. I also do not see much in the way of green. So I left that out.

Input:

Source https://stackoverflow.com/questions/67678048

QUESTION

HSV colour range in openCV

Asked 2021-May-24 at 06:33

I wrote a program that used trackbars, to find out the appropriate HSV values (range) for segmenting out the white lines from the image.

For a long time this seemed like the best shot:

But its still not very accurate, its leaving out chunks of the line...

After messing around some more, I realised something:

This is very accurate: apart from the fact that the black and white regions are swapped.

Is there any way to invert this colour scheme to swap the black and white regions? If not, what exactly can I do to not leave out chunks of the line like the first image...I have tried out various HSV combinations and it seems like this is the closest I can get.

code:

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ANSWER

Answered 2021-May-24 at 06:33

To invert the mask

Source https://stackoverflow.com/questions/67667556

QUESTION

Seaborn scatterplot does not color correctly 'hue'

Asked 2021-May-21 at 14:39

I am having some trouble with coloring my scatterplot markers. I have a simple dataframe with a value "pos" and two other values, "af_min" and "af_max". I want to color the markers based on some conditions for af_x and af_y, but since I don't any column to exploit as a hue, I created my own column "color".

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ANSWER

Answered 2021-May-21 at 14:39

The problem with your first example, is that the hsv palette has the same color at its start and at its end. This is because "h" in "hsv" is a circular variable, going from 0 to 360 degrees. Matplotlib default uses 3 colors, uniformly spaced over the range of colors, so using the red from the start, the cyan from the center and again the red from the end. So, hsv isn't the most adequate color scheme in this case. See matplotlib's available colormaps and seaborn's extensions.

The hsv palette:

For your second example, sns.set_palette() sets matplotlib's color cycle, but seaborn itself doesn't always use it. When a numeric hue is given, seaborn default chooses the rocket colormap by default. From the documentation:

The default treatment of the hue (and to a lesser extent, size) semantic, if present, depends on whether the variable is inferred to represent “numeric” or “categorical” data. In particular, numeric variables are represented with a sequential colormap by default, and the legend entries show regular “ticks” with values that may or may not exist in the data.

The easiest way to use a custom palette, is directly providing it to the function (there is no need to call sns.color_palette() as seaborn palettes internally are just lists of colors):

Source https://stackoverflow.com/questions/67637829

QUESTION

How to mask infected area from the healthy area?

Asked 2021-May-19 at 04:50

import cv2
import numpy as np

img =  cv2.imread('AFTER_5746.png')
hsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV)

# find the green color 
mask_green = cv2.inRange(hsv, (36,0,0), (86,255,255))
# find the brown color
mask_brown = cv2.inRange(hsv, (90, 60, 20), (30, 255, 200))
# find the yellow color in the leaf
mask_yellow = cv2.inRange(hsv, (14, 39, 64), (40, 255, 255))

# find any of the three colors(green or brown or yellow) in the image
mask = cv2.bitwise_or(mask_green, mask_brown)
mask = cv2.bitwise_or(mask, mask_yellow)

# Bitwise-AND mask and original image
res = cv2.bitwise_and(img,img, mask= mask)

cv2.imshow("original", img)
cv2.imshow("final image", res)
cv2.waitKey(0)
cv2.destroyAllWindows()

...

ANSWER

Answered 2021-May-19 at 04:50

Your brown mask is empty (no white). How did you get your values for brown? They are not inclusive of brown in OpenCV HSV. Your brown is at the hue=0/180 wrap-around transition. OpenCV inRange() does not seem to like specifying 160 to 20 as lower and upper, respectfully (without separating into two browns, one from 160 to 180 and the other from 0 to 20). So I just gave it 0 to 180 to cover the range. Don't go too high in Value (V) or you will start including the sky.

Here is a selection of colors for the brown that seems to work for me in Python/OpenCV.

Input:

Source https://stackoverflow.com/questions/67596477

QUESTION

What colorspace is mix-blend-mode saturation from?

Asked 2021-May-18 at 23:20

The spec for blend-mode saturation says:

Creates a color with the saturation of the source color and the hue and luminosity of the backdrop color.

Originally I assumed it would be HSL as that's the only colorspace you can use in web development that has a saturation channel, but that's clearly not it:

...

ANSWER

Answered 2021-May-18 at 23:20

I did a bit (a lot) more digging, and it looks like the math they're using is some weird combination of disparate colorspaces combined with general color theory:

The function for saturation described in the spec is:

Source https://stackoverflow.com/questions/66917519

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

Vulnerabilities

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Install HSV

You can download it from GitHub.

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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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