Python-OpenCV | Assorted OpenCV programs | SDK library

 by   shiv213 Python Version: Current License: GPL-3.0

kandi X-RAY | Python-OpenCV Summary

kandi X-RAY | Python-OpenCV Summary

Python-OpenCV is a Python library typically used in Utilities, SDK, OpenCV applications. Python-OpenCV has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. However Python-OpenCV build file is not available. You can download it from GitHub.

Assorted OpenCV programs
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              Python-OpenCV has a low active ecosystem.
              It has 3 star(s) with 0 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              Python-OpenCV has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of Python-OpenCV is current.

            kandi-Quality Quality

              Python-OpenCV has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              Python-OpenCV is licensed under the GPL-3.0 License. This license is Strong Copyleft.
              Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

            kandi-Reuse Reuse

              Python-OpenCV releases are not available. You will need to build from source code and install.
              Python-OpenCV has no build file. You will be need to create the build yourself to build the component from source.
              It has 98 lines of code, 4 functions and 2 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed Python-OpenCV and discovered the below as its top functions. This is intended to give you an instant insight into Python-OpenCV implemented functionality, and help decide if they suit your requirements.
            • Uploads and saves the image .
            • Absolute difference between t0 and t2 .
            • Read image from file .
            Get all kandi verified functions for this library.

            Python-OpenCV Key Features

            No Key Features are available at this moment for Python-OpenCV.

            Python-OpenCV Examples and Code Snippets

            No Code Snippets are available at this moment for Python-OpenCV.

            Community Discussions

            QUESTION

            Overlay smaller image to larger image in Python
            Asked 2022-Mar-28 at 09:36

            I know this question has been asked for several times, e.g., this one, but my problem is I need to overlay a smaller PNG image with a larger PNG image, where both images need to maintain their transparency in the output.

            For example, smaller image is like: ... larger image is like: (The image above has only 1 pixel filled with white color and 90% transparency)

            Using the code examples given in the previous question (overlay a smaller image on a larger image python OpenCv), the larger background image will be in black.

            ...

            ANSWER

            Answered 2022-Mar-28 at 09:36

            This is actually the correct output. Fully transparent images (like your template image) have the pixel value of 0 on empty areas which represents black. If you were to use semi-transparent templates (which have pixels value greater than 0 even if they are slightly transparent). You should see this:

            Answer 2:

            Your output images are 24bit. (Which means you get rid of thhe alpha channel before saving it). I looked into your code and saw the lines 34 and 35;

            Source https://stackoverflow.com/questions/71642424

            QUESTION

            Why do I get the following error after and hour of operation cv2.error:(-215:Assertion failed) !src.empty() in function 'cvtColor'
            Asked 2022-Feb-17 at 03:17

            Things work fine for 30 minutes to an hour, then I get the following error:

            ...

            ANSWER

            Answered 2022-Feb-17 at 03:17

            I have added if(ret == True): to the following and there have been no errors for six hours:

            Source https://stackoverflow.com/questions/71122785

            QUESTION

            How do OpenCV's selectROI coordinates work?
            Asked 2022-Feb-11 at 15:25

            I need to use the selectROI function for my project. However, I just can't seem to wrap my head around the format of the coordinates. According to this link, the coordinate array should be in this form: [Top_X, Top_Y, Bottom_X, Bottom_Y]. Assuming that the top left corner starts at (0,0) for (x,y), why are my coordinates so off when I draw 3 different bounding boxes using the selectROI function?

            This is what I used to create my bounding boxes and output the coordinates:

            ...

            ANSWER

            Answered 2022-Feb-11 at 15:25

            The explanation on geeksforgeeks is wrong or at least easy to misunderstand: the last two values are not coordinates for the bottom-right corner, they are width and height of the rectangle. Notice that e.g. for the third rectangle, the height (161) is roughly twice the width (79), which matches the appearance of the rectangle.

            Source https://stackoverflow.com/questions/71082213

            QUESTION

            Bilateral Filter Error In OpenCV for Some Images
            Asked 2022-Feb-01 at 18:42

            I have a dataset of memes' URLs which I wanna extract their texts from them. I have this function:

            ...

            ANSWER

            Answered 2022-Feb-01 at 18:40

            I fixed it by adding the following line after opening the image:

            Source https://stackoverflow.com/questions/70942221

            QUESTION

            How can i send multiple camera to one server
            Asked 2022-Jan-28 at 22:52

            How can i send all webcams to collect from one server. For example:

            there is pc_1, pc2, ..., pc_n they are sending camera view to some ubuntu server where i can connect with ssh name@ip_adress

            and all pc have a windows on them

            ...

            ANSWER

            Answered 2022-Jan-28 at 22:52

            Each IPC is a RTSP server, it allows you to pull/play RTSP stream from it:

            Source https://stackoverflow.com/questions/70786592

            QUESTION

            Trouble installing ROS Melodic Ubuntu 21.10
            Asked 2021-Dec-12 at 22:41

            I am trying to install ROS Melodic using the instructions on wiki.ros.org and stumbled upon some problems.

            System software information:

            Operating System: Kubuntu 21.10

            KDE Plasma Version: 5.22.5

            KDE Frameworks Version: 5.86.0

            Qt Version: 5.15.2

            Kernel Version: 5.13.0-19-generic (64-bit)

            Graphics Platform: X11

            Problem

            I have first followed steps from http://wiki.ros.org/melodic/Installation/Ubuntu and later followed the steps from https://varhowto.com/install-ros-melodic-ubuntu-18-04/#Step_1_%E2%80%94_Install_ROS_Melodic_repo , both with unsuccessful results.

            When running sudo apt update I am getting:

            ...

            ANSWER

            Answered 2021-Dec-12 at 22:41

            You're getting this error because Melodic is the ros distro for Ubuntu 18.04. As of present the most recent release is Noetic which targets 20.04. The version of Ubuntu you're using does not currently have a supported ROS release, as such your only real option is to downgrade if you want ROS.

            Source https://stackoverflow.com/questions/70319587

            QUESTION

            Opencv-contrib installation error: file not found
            Asked 2021-Nov-04 at 16:11

            A Linux newbie here. On Linux Mint, python 3.8, under Anaconda, trying to install opencv-contrib-python by

            ...

            ANSWER

            Answered 2021-Nov-04 at 16:11

            Removing Anaconda and working with the python supplied with my Linux distro solved the issue.

            Source https://stackoverflow.com/questions/69802251

            QUESTION

            numpy.AxisError: axis 2 is out of bounds for array of dimension 0
            Asked 2021-Aug-29 at 16:29

            I'm creating a program the requires a black and white image and two arrays containing the X and Y coordinates of both black and white pixels respectively. I have a program that utilizes OpenCV and binary thresholding to create a black and white image (code source). Hear is the code I have in full so far.

            ...

            ANSWER

            Answered 2021-Aug-29 at 15:41

            Replace those two lines of code with the following lines:

            Source https://stackoverflow.com/questions/68974389

            QUESTION

            How can I determine the lengths of each side in a contour?
            Asked 2021-Aug-01 at 18:27

            I am using Python-OpenCV to detect shapes, measure their distance from the camera lens, and eventually measure the angle of the rotation of the shapes with respect to the camera.

            This is what it looks like when the shapes are parallel to the camera

            This is what it looks like when the shapes are slightly tilted/rotated

            I am trying to determine the angle of rotation of the board on which the shapes are placed, which is why I came up with the idea of comparing the lengths of the parallel sides of the rectangle to each other (any other Idea or tip is greatly appreciated). Required Lengths

            The idea is that when the board is rotated, the parallel sides are no longer of equal length and I might be able to come up with a relation between the difference in length and the angle of rotation. I am open to any other suggestions.

            I am struggling with calculating those lengths as shown in the picture above. I am trying to avoid using Hough Lines, and stick to Contours, since they proved to be a bit unstable in a live video.

            Thank you in advance!

            ...

            ANSWER

            Answered 2021-Aug-01 at 18:27

            This code will give you the 4 corners.

            Source https://stackoverflow.com/questions/68610275

            QUESTION

            Unboxing opencv rectangles
            Asked 2021-Jul-03 at 20:46

            I am OCR-ing a bunch of pdf-files. This works fine, but parts of the pdf's are black-lined. Actually, they are not really black-lined but 'rectangled with some text within the rectangels'. This text is messing up my OCR, even while using a word-list for targetting the various combinations of '(10)(2e)'.

            I am working with .jpg's, converted from pdf's that contain bot text & images (with text in it). Here's a sample:

            Since many variations of the '(10)(2e)' are messing up my OCR, my goal is find all rectangles - that most likely contain '(10)(2e)' and fill them. For finding the rectangles I followed this great answer from nathancy: How to detect all rectangular boxes python opencv without missing anything

            However - as you can see in the upper green rectangle - sometimes the green rectangles overlap part of the data I need. In this case "@leiden.nl" and "@" in the second line.

            I have experimented with many combinations of both (a) other settings for image processing (erode/dilate/blur/thershold) and (b) other settings as suggested in the answer by Nathancy (kernel settings/number of iterations).

            What would be best practice for finding the smaller rectangles?

            FYI: My code for finding the rectangles is more or less similar to Nathancy's answer:

            ...

            ANSWER

            Answered 2021-Jul-03 at 20:46
            # https://stackoverflow.com/questions/59979760/how-to-detect-all-rectangular-boxes-python-opencv-without-missing-anything
            import cv2
            import os
            
            path = os.getcwd()
            print(path + '/test_ocr3/_stuff_IN/')
            
            # Load iamge, grayscale, adaptive threshold
            # image = cv2.imread(path+'/test_ocr3/_stuff_OUT/'+'1.png')
            # image = cv2.imread(path+'/test_ocr3/_stuff_OUT/'+'page_1.jpg')
            image = cv2.imread(path+'/test_ocr3/_stuff_OUT/'+'page_1_opt.jpg')
            # image = cv2.imread(path+'/test_ocr3/_stuff_OUT/'+'page_1_A_erode_551.jpg')
            # image = cv2.imread(path+'/test_ocr3/_stuff_OUT/'+'page_1_B_dilate_551.jpg')
            # image = cv2.imread(path+'/test_ocr3/_stuff_OUT/'+'page_1_D_threshold_177255.jpg')
            result = image.copy()
            gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
            thresh = cv2.adaptiveThreshold(gray, 255, cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY_INV, 51, 9)
            
            # Fill rectangular contours
            # CHECK OTHER CONTOUR SETTINGS ? TO EXLCUDE OUTER ?
            # https://docs.opencv.org/master/d9/d8b/tutorial_py_contours_hierarchy.html
            # https://medium.com/analytics-vidhya/opencv-findcontours-detailed-guide-692ee19eeb18
            # cnts = cv2.findContours(thresh, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
            cnts = cv2.findContours(thresh, cv2.RETR_CCOMP, cv2.CHAIN_APPROX_SIMPLE)
            cnts = cnts[0] if len(cnts) == 2 else cnts[1]
            for c in cnts:
                cv2.drawContours(thresh, [c], -1, (255, 255, 255), -1)
                cv2.drawContours(thresh, [c], -1, (0, 0, 0), 1)
            
            # Morph open
            kernel = cv2.getStructuringElement(cv2.MORPH_RECT, (7, 4))
            opening = cv2.morphologyEx(thresh, cv2.MORPH_OPEN, kernel, iterations=4)
            # opening = cv2.morphologyEx(thresh, cv2.MORPH_CLOSE, kernel, iterations=4)
            
            # Draw rectangles
            # cnts = cv2.findContours(opening, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
            cnts = cv2.findContours(opening, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
            cnts = cnts[0] if len(cnts) == 2 else cnts[1]
            for c in cnts:
                x, y, w, h = cv2.boundingRect(c)
                cv2.rectangle(image, (x, y), (x + w, y + h), (36, 255, 12), 3)
                # filled
                # cv2.rectangle(image, (x, y), (x + w, y + h), (36,255,12), -1)
            
            # cv2.imwrite(path+'/test_ocr3/_stuff_OUT/'+'1_OUT.png', image)
            cv2.imwrite(path+'/test_ocr3/_stuff_OUT/'+'page_1_0_TST_OUT.jpg', image)
            

            Source https://stackoverflow.com/questions/68154114

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

            Vulnerabilities

            No vulnerabilities reported

            Install Python-OpenCV

            You can download it from GitHub.
            You can use Python-OpenCV 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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