computer-vision | Various computer vision and OpenCV utilities | Computer Vision library

 by   nrsyed Python Version: Current License: MIT

kandi X-RAY | computer-vision Summary

kandi X-RAY | computer-vision Summary

computer-vision is a Python library typically used in Artificial Intelligence, Computer Vision, OpenCV applications. computer-vision has no bugs, it has no vulnerabilities, it has a Permissive License and it has high support. However computer-vision build file is not available. You can download it from GitHub.

This repo contains a number of computer vision–related utilities I've made. They rely primarily on OpenCV and are written in C++ and/or Python. Brief descriptions of the following utilities and programs, as well as links to more detailed information, can be found in the sections below.

            kandi-support Support

              computer-vision has a highly active ecosystem.
              It has 76 star(s) with 64 fork(s). There are 7 watchers for this library.
              It had no major release in the last 6 months.
              There are 5 open issues and 0 have been closed. On average issues are closed in 326 days. There are no pull requests.
              It has a positive sentiment in the developer community.
              The latest version of computer-vision is current.

            kandi-Quality Quality

              computer-vision has 0 bugs and 0 code smells.

            kandi-Security Security

              computer-vision has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              computer-vision code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              computer-vision is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              computer-vision releases are not available. You will need to build from source code and install.
              computer-vision has no build file. You will be need to create the build yourself to build the component from source.
              computer-vision saves you 191 person hours of effort in developing the same functionality from scratch.
              It has 470 lines of code, 26 functions and 8 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed computer-vision and discovered the below as its top functions. This is intended to give you an instant insight into computer-vision implemented functionality, and help decide if they suit your requirements.
            • Threaded thread
            • Put iterations per sec
            • Return the counts per occurrence
            • Increment the counter
            • Update the trackbar
            • Threshold the image
            • Called when a mouse button is changed
            • Update the button with the given text
            • Read data from stream
            • Stop the thread
            • Start the capture
            • Create a thread that continuously displays the video
            • No threading
            Get all kandi verified functions for this library.

            computer-vision Key Features

            No Key Features are available at this moment for computer-vision.

            computer-vision Examples and Code Snippets

            No Code Snippets are available at this moment for computer-vision.

            Community Discussions


            Difference in histograms of a colored image using plt.plot v/s plt.hist [Python]
            Asked 2021-Jun-06 at 08:34

            I used the code below to generate histograms of a colored image using 2 methods :

            Method 1 :-

            1. Using cv2.calcHist() function to calculate the frequency
            2. Using plt.plot() to generate a line plot of the frequency

            Method 2 :-

            1. Using plt.hist() function to calculate and generate the histogram (I added bin=250 so that the 2 histograms are consistent)

            Observation : Both histograms are roughly similar. The 1st histogram (using plt.plot) looks pretty smooth. However the 2nd histogram (using plt.hist) has additional spikes and drops.

            Question : Since the image only has int values there shouldn't be inconsistent binning. What is the reason for these additional spikes and drops in the histogram-2 ?



            Answered 2021-Jun-06 at 08:34

            bins=250 creates 251 equally spaced bin edges between the lowest and highest values. These don't align well with the discrete values. When the difference between highest and lowest is larger than 250, some bins will be empty. When the difference is smaller than 250, some bins will get the values for two adjacent numbers, creating a spike. Also, when superimposing histograms, it is handy that all histograms use exactly the same bin edges.

            You need the bins to be exactly between the integer values, setting bins=np.arange(-0.5, 256, 1) would achieve such. Alternatively, you can use seaborn's histplot(...., discrete=True).

            Here is some code with smaller numbers to illustrate what's happening.



            How to apply gradient/magnitude to an image using OpenCV?
            Asked 2021-May-27 at 16:22

            I'm currently following this tutorial as part of an university assignment where we are supposed to implement canny edge detection ourselfes. Applying the gaussian blur worked without any problems but now I'm trying to display the magnitude intensity as shown on the website.

            I implemented the functions as seen on the mentioned website and created a function for running the canny edge detection. Currently this is what the function looks like:



            Answered 2021-May-27 at 16:22

            I think there might be an issue with ndimage.filters.convolve. I got similar results as you. But the following seems to work fine using Python/OpenCV




            Image mask not working when I invert it using bitwise_not (OpenCV-Pyhton)
            Asked 2021-May-27 at 07:23

            I am trying to use bitwise operations. In the code below I use 2 images (img1, img2). I create two masks using img2 (gray_inv and gray_test).



            Answered 2021-May-26 at 22:30

            For the effect you’re describing you don’t want a bit-wise OR. You want to multiply the values. So output = input1 * input2 / 255.



            Computer vision Read api azure
            Asked 2021-May-14 at 02:15

            I have tried Read api of azure for reading text from image/pdf ( and it works correctly then I tried using code



            Answered 2021-May-14 at 02:15

            It is by design as the doc indicated:

            When you call the Read operation, the call returns with a response header called 'Operation-Location'. The 'Operation-Location' header contains a URL with the Operation Id to be used in the second step. In the second step, you use the Get Read Result operation to fetch the detected text lines and words as part of the JSON response.

            The response body is empty, you can Operation-Location in the response header.

            Just try the code below to get the Operation-Location and final result:



            Illegal instruction(core dumped) error on Jetson Nano
            Asked 2021-May-06 at 23:26

            Sorry if my description is long and boring but I want to give you most important details to solve my problem. Recently I bought a Jetson Nano Developer Kit with 4Gb of RAM, finally!, and in order to get, which I consider, the best configuration for object detection I am following this guide made by Adrian Rosebrock from Pyimagesearch:

   Date:March, 2020. A summary of this guide is the following:

            • 1: Flash Jetson Pack 4.2 .img inside a microSD for Jetson Nano(mine is 32GB 'A' Class)
            • 2: Once inserted on the Nano board, configure Ubuntu 18.04 and get rid of Libreoffice entirely to get more available space
            • 3: Step #5: Install system-level dependencies( Including cmake, python3, and nano editor)
            • 4: Update CMake (without any errors)
            • 5: Install OpenCV system-level dependencies and other development dependencies
            • 6: Set up Python virtual environments on your Jetson Nano( succesfully installed virtualenv and virtualenvwrapper without errors including the bash file edition with nano)
            • 7: Create virtaul env with python 3 and install protobuf and libprotobuf to get an more efficient Tensorflow. Succesfully installed. It took an hour to finish, that's normal
            • 8: Here comes the headbreaker: install numpy and cython inside this env and check it importing numpy library When I try to do this step I get: Illegal instruction(core dumped) as you can see in the image: [Error with Python3.6.9]:

            I said, well let's continue with this tutorial anyway:

            • 9: Install Scipy v1.3.3: everything is ok with first three lines, but when I have to use python to execute the file, IT shows up again(not the clown). [Can't execute this line either]:

            Then I ran an experiment, I have created this "p2cv4" env with Python 2, installed numpy and tested it: [With Python 2]:

            I can exit() whenever I want and execute other lines that use python So I concluded that is a python version issue. When I want to execute any python code, terminal ends the program with core dumping, apt-get or pip DO NOT show any errors. And I want to use python 3 because someday in the future a package or library will require python 3.

            For python 3 last version for the Jetson Nano is 3.6.9, and idk which version was currently active in March, 2020, like the one Adrian used at that time

            In other posts I read that this SIGILL appears when a package or library version like Numpy of TF is not friendly anymore with a specific old or low power CPU, like in this posts: Illegal hardware instruction when trying to import tensorflow,

            So I want to downgrade to a older python version like 3.6.5 or 3.5 but I can't find clear steps to do so in Ubuntu. I thinks this will fix this error and let me continue with configurations on the Jetson Nano.

            The pyimageseach guide uses Python 3.6 but it do not specifies if is last 3.6.9 or another. If is not python causing this error let me know. HELP please!



            Answered 2021-Jan-09 at 15:30

            I had this very same problem following the same guide. BTW, in this scenario, numpy worked just fine in python when NOT in a virtualenv. GDB pointed to a problem in libopenblas.

            My solution was to start from scratch with a fresh image of and repeat that guide without using virtualenv. More than likely you are the sole developer on that Nano and can live without virtualenv.

            I have followed these guides with success:

            Skip the virtualenv portions

            I found this to also be required at this point: "..install the official Jetson Nano TensorFlow by.."



            SyntaxError: can't assign to function call after switching from scipy to imageio?
            Asked 2021-Apr-29 at 12:05

            Using imageio.imread instead of scipy.misc.imread (because it is depreciated) is giving me an issue. I want to perform something like this but using imageio:



            Answered 2021-Apr-29 at 12:01

            The initial error is located here:



            I am trying to convert string to json using JsonConvert.DeserializeObject
            Asked 2021-Apr-19 at 07:23

            I receive this error:

            Message":"An error has occurred.","ExceptionMessage":"Cannot deserialize the current JSON object (e.g. {"name":"value"}) into type 'System.Collections.Generic.List`1[OCR.Models.UserDto]' because the type requires a JSON array (e.g. [1,2,3]) to deserialize correctly.\r\nTo fix this error either change the JSON to a JSON array (e.g. [1,2,3]) or change the deserialized type so that it is a normal .NET type (e.g. not a primitive type like integer, not a collection type like an array or List) that can be deserialized from a JSON object. JsonObjectAttribute can also be added to the type to force it to deserialize from a JSON object.



            Answered 2021-Apr-18 at 22:19

            The message states that your JSON is most likely not a collection but a single object, and it feels like it's of type Application (in your code - nested class)

            Try changing this:



            Python analyzing computer-vision output
            Asked 2021-Mar-31 at 10:51

            through a computer-vision program and object recognition I get arrays like this, which describes rectangles around the recognized objects:



            Answered 2021-Mar-31 at 10:51

            Here is the answer. I hope you know using for loops in python.



            Is there any good open source image dataset generation software?
            Asked 2021-Jan-30 at 13:29

            I'm looking for services or scripts that can help to generate images for computer vision machine learning tasks. Not something like this where they just put together several layers of objects over other objects but more a like a 3D generation of objects in different environments.



            Answered 2021-Jan-30 at 13:29

            I'm not aware of an out-of-the-box solution where you can create arbitrary objects and environments but if you are fine using Blender, here is an example how you can use Blender to automatically create images as a training set for machine learning algorithms.



            Scipy UnivariateSpline error: (m>k) failed for hidden m: fpcurf0:m=3
            Asked 2021-Jan-07 at 08:40

            I am trying to increase the brightness of a gray-scale image. To do that I want to create a spline. But when I am trying to use scipy.interpolate.UnivariateSpline, it is raising an error.




            Answered 2021-Jan-07 at 08:40

            Indeed, you cannot fit a cubic spline with three points: even a single cubic parabola has four parameters.


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


            No vulnerabilities reported

            Install computer-vision

            You can download it from GitHub.
            You can use computer-vision 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.


            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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