motion-detection | OpenCV motion detection for Raspberry Pi | Computer Vision library

 by   cedricve C++ Version: Current License: No License

kandi X-RAY | motion-detection Summary

kandi X-RAY | motion-detection Summary

motion-detection is a C++ library typically used in Artificial Intelligence, Computer Vision, OpenCV applications. motion-detection has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

This is a free, open source, motion detection project using OpenCV and C++. The project was orginally designed for the Raspberry Pi. Due to the low CPU power and available memory, the algorithm of Collins et al. is used. More information about how it works can be found here.
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              motion-detection has a low active ecosystem.
              It has 116 star(s) with 64 fork(s). There are 14 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 0 open issues and 3 have been closed. On average issues are closed in 263 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of motion-detection is current.

            kandi-Quality Quality

              motion-detection has no bugs reported.

            kandi-Security Security

              motion-detection has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              motion-detection does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

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              motion-detection releases are not available. You will need to build from source code and install.
              Installation instructions are available. Examples and code snippets are not available.

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            motion-detection Key Features

            No Key Features are available at this moment for motion-detection.

            motion-detection Examples and Code Snippets

            No Code Snippets are available at this moment for motion-detection.

            Community Discussions

            QUESTION

            What is [0] and (1) in: r = np.random.randint((1), 24000, 1)[0]
            Asked 2021-May-08 at 11:21

            What is [0] and (1) in: r = np.random.randint((1), 24000, 1)[0]

            Entire github code:

            https://github.com/Pawandeep-prog/facial-emotion-detection-webapp/blob/main/facial-detection.py#L230

            ...

            ANSWER

            Answered 2021-May-08 at 11:18

            Here np is numpy,

            (1) denotes the minimum value of output

            Source https://stackoverflow.com/questions/67432532

            QUESTION

            Turning an Open CV frame into a Base64 encoded JPEG
            Asked 2021-Jan-26 at 23:04

            I want to take a frame from an Open CV webcam stream, produce a JPEG thumbnail and then encode it as Base64 (It will then be sent as an MQTT message, but this is not the problem).

            My Python "sendimage" function is:

            ...

            ANSWER

            Answered 2021-Jan-26 at 23:04

            I have seen the below used for this same exact reason

            Source https://stackoverflow.com/questions/65910507

            QUESTION

            How come opencv is creating 2 windows?
            Asked 2020-Apr-27 at 16:03

            Found code from Github (https://github.com/atulapra/Emotion-detection) for emotion detection. I want to make some changes in it and want to combine with Tkinter for an easy user interaction. Something like this shown in image below. Here I wrote some code for tk window:

            ...

            ANSWER

            Answered 2020-Apr-27 at 16:03

            To summarize our discussion into an answer that can be accepted:

            1. Remove cv2.imshow to get rid of the second window
            2. Use img = Image.fromarray(cv2.cvtColor(frame, cv2.COLOR_BGR2RGBA)) to display the frame with the detected face with the right colors.

            Source https://stackoverflow.com/questions/61458770

            QUESTION

            Failed to connect to XXX.XXX.XX.XX port 9000: Connection refused
            Asked 2019-Oct-07 at 09:43

            I created a web service and tried to run it on the test server (since dont need any type of security) , it worked for the localhost then i tried to forward port 9000 from my router & the port was successfully forwarded so , i sent a request to that web service from a local machine with a public ip and the service returned the correct result.

            My Flask app run command :

            ...

            ANSWER

            Answered 2019-Oct-07 at 08:29

            In your router settings, try putting your machine (the one running the server) in a DMZ (demilitarized zone). Also double-check your firewalls (specifially your Windows firewall).

            Source https://stackoverflow.com/questions/58264335

            QUESTION

            gnuplot event frequency over time
            Asked 2019-Jun-23 at 18:17

            I have an aviary and collect timestamps via camera-motion-detection every time a bird enters or leave. Now I have a load of timestamps in the format:

            ...

            ANSWER

            Answered 2019-Jun-23 at 18:17
            set xdata time
            set timefmt "%Y-%m-%d-%H:%M:%S"
            set format x "%H:%M"
            bin_width=120
            bin(t) = (t - (int(t) % bin_width))
            set boxwidth 100
            plot [] [0:3] 'events.log' u (bin(timecolumn(1, "%Y-%m-%d-%H:%M:%S"))):(1.0) smooth freq with boxes
            

            Source https://stackoverflow.com/questions/56726359

            QUESTION

            How to fix OpenCV Numpy Error, object is not iterable
            Asked 2019-Mar-26 at 01:06

            I'm following a guide to develop a motion detection security feed and have run into an issue. The author of the tutorial had no issues, but I do.

            '''The full code can be found here: https://github.com/ncorbuk/Python-Motion-Detection-system/blob/master/motion_detection.py '''

            I have already tried the option of adding,

            " for c in cnt or []: " - This got me further into running the application where I could see the camera screens, however as soon as motion is detected the application crashes and provides the following numpy error:

            The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()

            ...

            ANSWER

            Answered 2019-Mar-26 at 01:06

            In Opencv4.0, findContour() returns only 2 values, contours and hierachy. So in the line 57 in motion_detection.py you have to change

            cnt = cv2.findContours(dilate_image.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)[1]

            to

            cnt = cv2.findContours(dilate_image.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)[0].

            Source https://stackoverflow.com/questions/55348047

            QUESTION

            Docker Run fails for a Python Project
            Asked 2018-Nov-11 at 12:38

            I have the following project structure for one of my Python project:

            ...

            ANSWER

            Answered 2018-Nov-11 at 12:38

            Well you use fully qualified paths like they are relative.

            Assuming that your Dockerfile is situated in the raspi-motion-detection folder in your project structure...

            Source https://stackoverflow.com/questions/53248652

            QUESTION

            Detect Basic Change in Video using OpenCV
            Asked 2018-Jan-11 at 01:07

            Trying to recreate a basic change detection program I got from a great blog done by Adrian Rosebrock (if looking to get into python and OpenCV go here). The code was designed in python and I am trying to convert it to C++. You can find the blog post here. My struggle is with the absdiff(firsFrame, gray, imageDifference) as every iteration of the loop has firstFrame and gray being equal. I think the problem is either where I initialize firstFrame = gray but I did a cout check to see how many times it is hit so not sure. Here is code:

            ...

            ANSWER

            Answered 2018-Jan-10 at 15:42

            Some to be improved:

            1. firstFrame = gray => gray.copyTo(firstFrame)

              you define firstFrame and gray at the same line, then after do firstFrame = gray, they share same data memory. So every time they are the same.

            2. Skip some frames.

              As the camera just starts, so the first frame is not that stable, you should skip some frames(like 10 frames).

            3. cv::Scalar <==> tuple

              In C++:

              cv::Scalar(b,g,r) <==> tuple(b,g,r)

              (b,g,r) ==> r

            Modified code:

            Source https://stackoverflow.com/questions/48190192

            QUESTION

            How to detect moving object on a moving conveyor using opencv
            Asked 2018-Jan-03 at 11:58

            I'm building a grading system for crabs. In this system, the animals (crabs) are placed in a moving conveyor and I need to identify dead or alive animals by detecting its motion based on images captured by a camera on this conveyor. The color of conveyor belt is black.

            As the conveyor is always moving, so I can't apply methods using stationary camera like here. Does anyone have a suggestion about motion detection of the animals in this case using opencv? I can use more than one camera if it's necessary. Thanks.

            ...

            ANSWER

            Answered 2018-Jan-03 at 11:32

            Well, the most obvious answer is: 1) adjust the pictures of the conveyor in the different periods of time so that they become of the same area. 2) watch which ones of the crabs have different poses (like, "substract the images") - different regions (pixels) mean that there happened a motion.

            If using a tracking - well, you should train your classifier to watch the crabs, and than compare the regions of crabs in a same way. But i think it's too complicated for your particular issue.

            Source https://stackoverflow.com/questions/48076358

            QUESTION

            Accepting name of changed file in fswatch with xargs in osx
            Asked 2017-Feb-23 at 08:39

            In osx I am trying to detect when a new file is added to a folder, then execute a script to process that new file. Seems simple, right?

            I am doing this:

            ...

            ANSWER

            Answered 2017-Feb-23 at 08:39

            It is expected to be empty because you are not passing the argument to the script detectmotion.sh which you got from xargs. It should have been

            Source https://stackoverflow.com/questions/42410454

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

            Vulnerabilities

            No vulnerabilities reported

            Install motion-detection

            Before you can use the motion detection, OpenCV must be installed on your device. You can follow this link for more information how to do it on the Raspberry Pi; there are a lot of other posts on the web which will you help either, so pick at random. After you installed OpenCV you can follow this tutorial.

            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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          • HTTPS

            https://github.com/cedricve/motion-detection.git

          • CLI

            gh repo clone cedricve/motion-detection

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            git@github.com:cedricve/motion-detection.git

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