Adrian but is there a way to make the selection more softer, for example by reduce point size?? Absolutely, you just need to apply contour approximation first. I detail contour approximation in a few blog posts, but I would start with this one. You just need to use pip. Make sure you click on the window and press any key on your keyboard — this will advance the script. Right now a keypress is required after each detection. I not have problem with the image path. Make sure that after thresholding your 9 rectangles have been clearly segmented.
From there, move on to the contour approximation and see how many points are returned by the approximation. You might need to tweak the cv2. Hey Adrian, I was wondering why did you use the Ramer-Douglas-Peucker algorithm to reduce the set of points, instead of using the convex hull?
The contour approximation algorithm and Convex Hull algorithm are used for two separate purposes. Your resulting contour approximation is this a simplification of the shape by utilizing points that are already part of the shape.
The convex hull on the other hand is the smallest convex set that contains all points along the contour — it is, by definition, not a simplification of the contour shape and the resulting convex hull actually contains points that are not part of the original shape.
In this case, I used contour approximation because I wanted to reduce the number of x, y -coordinates that comprise the contour, while ensuring that all points in the resulting approximation were also part of the original shape. I want to show detected shapes in seperate windows each shape on each window , what should I do? You should be applying array slicing to extract the ROI, then using the cv2.
I have a question about it: I have a database containing pre-processed images by kinect, and I need use Deep Learning to analyse these images. Is there a best way to start? What type of images are you working with? You mentioned they were pre-processed by the Kinect. Are they depth images? RGB images? I want to use a camera to detect different kinds of shapes on a microcontroller.
What would be the best method to approach this? Hey Neal — to start, you need to segment each of the components of the microcontroller. I would use a similar approach as detailed in this blog post. Apply thresholding or edge detection to find the blocks. And from there, you can use the contour approximation technique to label the shapes. For overlapping shapes, I would suggest the watershed algorithm. So if I understand your question correctly, you are using a background that is lighter than the shapes themselves?
Am I understanding that correctly? Hi Adrian, Thanks for the tutorial. I understand that using cv2. But if we have 10 images and all the images have different colour settings, it is a tedious task to change the threshold every time. Do we have a workaround for that.
You would need to look into more advanced thresholding methods. How can we differentiate between rectangle and trapezoid. I have detected that the polygon contains 4 corners and hence is either a square, rectangle or trapezoid as per my image. However, for square can easily check the width and height, but how do i differentiate between rectangle and trapezoid. There are many ways to do this. A perfect rectangle will have an extent of near 1. You can also compute the angle between each corner of the shape.
A rectangle would have near perfect 90 degree angles. Either one will work. Hi Great Man. Adrian I guess your offer in this tutorial use the webcam for raspberry pi. Is this method work with edge or point detection? You can certainly use a webcam or Raspberry Pi camera module to perform shape detection. You would just need to read the frame from the camera and process it. I provide tutorials on how to access webcams here.
Is there anything that could be wrong? Hi Adrian, Thanks for the tutorial, I did the same, but for certain cicrles the vertices were shown as 4 and hence were displayed as squares , can you suggest a way to increase the number of detected vertices in the picture.
Hi Adrian, From Shape detection i should detect circle alone. In your Same example i need this modification. For circle detection, take a look at this blog post. Otherwise, you can use this code to determine a circle as well. A circle will have many more approximated contour vertices than all other shapes. You basically need to create an if statement for this. Please download my code and compare it to yours. Hey Arturo, I suggest you read up on command line arguments before continuing.
You do not have to modify the code at all. You just need to supply the --image switch to the Python script via command line argument:. Please read up on command line arguments before continuing. I was wondering about how to find out the number of different shapes in such an example.
Like if there are 4 squares, 2 rectangles etc. Or display the number of instances of each shape in the image. I would use a Python built-in dictionary type and simply count the number of shapes as you loop over them. Your pseudocode might look something like:.
Yes I know I ran that before I start the program. Maybe the problam is that the raspberry want to run it in python3. How can I run in python2 if I installed python2 and python 3 too? I thought that is the problem because the installation put the imutils in python2. First thank you for the exellent tutorial! I am interesting in a real-time shape detector with the picamera. Maybe there is a tutorial for it that you made?
I would suggest using the cv2. VideoCapture class or the VideoStream class covered in this blog post. My book, Practical Python and OpenCV also covers the basics of working with video streams and video files — this would help you port the code over to a video stream rather than a single image.
Adrian can u suggest what changes to make in this so that we can detect shapes in real time using laptop camera feed ,I would be very greatful. Take the time to study the basics of OpenCV first, then it will be easy to implement this method for real-time applications. Please read the comments before you submit your own. I was wondering if there is a way to detect rectangles or squares to exact approximately.
Basically, I have an image, and it has shapes and text in it. I only want to detect the shapes and ignore all the text in the image.
This tutorial really helped me. But, I am still detecting squares and rectangles in the text of the image. I would compute the solidity of the shape which is the area of the contour divided by the convex hull area. Text will have a lower solidity than a rectangle which should be equal to one.
I am using the shape detection to get the coordinates from where rectangular elements are located in an image that I am getting from my phone camera. For some specific layouts the code works perfectly, but when I start to place elements in the same row, the coordinates of an specific element are organised in a different order.
However, when I try the same layout from an image I am building in photoshop not a picture it works correctly. When I compared both shape detection processes, I realised that the order in which the shapes are sorted is also changing.
I tried altering the lightning and contrast of the pictures, but somehow there is something that is altering the order of how the elements are detected and the order of how the coordinates are organised. The cv2. You should sort your contours if you expect them to be in a given order. Could you share your project with us?
Thanks for this tutorial … I have a question. In my image, I have a square and lozenge shape and I want to distinguish between them, how can I do that? Contour properties, such as extent, solidity, and aspect ratio. Features, such Hu Moments or Zernike Moments. Hi Adrian, Is there a way to save the results of the image classification into a new image?
For example, identifying all the squares and saving a new image with just the squares. I am trying to do some feature extraction of satellite imagery. Hi Thailynn — if you are trying to extract each individual square, I would compute the bounding box and extract it using array slicing. You can then write the region to disk using the cv2. Hello Adrian, i ahve bought you curse and now i am seeking this tutorial.
My problem is that also, python2 and 3 can not find imutils, i have tryed to install it with pip but failed with a large crash…. Which tutorial did you use to install OpenCV? Also, what is the error you are getting when trying to install imutils? Without knowing the error, I cannot provide any suggestions. It sounds like OpenCV cannot access your webcam.
I discuss NoneType errors and how to resolve them in detail inside this post. You apply the exact same algorithm detailed in this post, only to every frame of a video. Hi Adrian, the rectange is shape which has 4 vertices, and also has three of them is 90 degree. Very nice Blog, I have just discovered it. I am going to be browsing through it tomorrow but let me ask you a question. Check reviews, specifications and compare the price of Logitech M Wireless Optical Mouse to know the accurate price.
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On this site, hit Webcams. You can obey the on-screen instructions to finish installing Logitech drivers on Windows If you want to draw just the motion field, I would get rid of the bounding box and just call cv2. I am currently dealing with multiple cameras with the lastest version of Raspberry pi 3 for a home surveillance system. I personally have never tried with more than 2 cameras on the Pi.
Your worry at that point should become power draw. Consider using a secondary power source. The Pi also might not be fast enough for process all of those frames. Double check that you can access the video streams from your system. I am able to read each camera individually, but as soon as I try to use 2 I get the error. If you can access them both individually then your system can certainly open pointers to the cameras.
Can you try running both individual cameras at the same time from separate Python scripts? It looks like it may be the hub. When I try to run them in separate scripts I get the same error. Yep, definitely sounds like a power issue. Let me know what you find! If you can get a USB hub that directly plugs into the wall this should resolve the power issue.
It turned out to be the power issue. I was able to capture both camera successfully when they were powered on separate USB ports on the laptop. Would that work or will the performance framerate, framedrops…etc. Or will that fry the pi :!? The issue would become power draw. You would likely need a USB hub that draws its own power. In either case, you would notice a performance drop as the number of cameras increases.
Hi Thanks for sharing. Can you tell if they are both shooting at the same time? Or which is the time difference? What was the FPS on your project, using two cameras? Thanks in advance! As for synchronization, there is no guarantee that the frames grabbed for each camera were captured at exactly the same time down to the micro-second. That is outside of the capabilities of this project. Instead, use this tutorial on accessing a single camera.
Is your goal to have each of these Pis deployed somewhere and then networked together? The point of this blog post is to connect multiple cameras to a single Pi , not have multiple Pis each using one camera. Hi Adrian, Thank you for your tutorials they are great, i learned a lot, keep up the good work. I have a question, Is it possible, to save the videos from the cameras to be saved in some external storage SD or HDD and name the videos with current date-stamp?
I demonstrate how to save videos captured from cameras to disk in this blog post. Simply specify the file path to be one of your external storage devices. The filename can be created by using a number of Python libraries. I would use datetime. Hi Adrian, Thanks for the quick reply. This is exactly what i was looking for. Thank you. A week ago I received a RPi3 and camera, and it all seems to be python!
So your posts have been most informative and helpful, thank you. Just a few questions if you can find the time.
Can the resolutions set in the VideoStream Class if the imutils module be changed in a program? Do you know anything about this? Keep up the great work Regards Jon. Hello and thank you. I managed to put 4 camera however I would like to put them in a same window and not have 4 separate windows, how can I do? Thx u. I tried to make it work with 2 USB cams but without all those motion stuff.
Just wanted 2 streams in 2 windows. So I tried to remove all motion related stuff. Moved from one error to the other. Any suggestions or some lines of code on how to realise this?
Thank u so much sir! Ur tutorials helped a lot during my final year project completion and i learned a lot!!! Great work….
Is it possible to capture motion and either send live video or pictures to your phone? I discuss this more inside the PyImageSearch Gurus course. One question: When the RPi detects movement, I want to save a few seconds of video to a. Is there some keyword I should be looking for, or do you have a tutorial on this? Hey Hugo — you should take a look at this blog post where I demonstrate how to write video clips to file based on a given action taking place. I tried to run it on IP cameras and it works.
When the is motion all the screen become with the red box any idea why? Make sure you are resizing both frames.
If so what would be the steps? But to start, you should read up on the documentation of your camera to see if it can record at a higher FPS. You can use this code for multi-object detection. Line 48 loops over all contour regions that have a sufficiently large area. Can you check the amount of space on your system? Either your system ran out of space on the drive or there is a problem with your camera. Just as an alternative you can use the PI version of the xeoma surveillance platform and use all its features.
I attach 3 camera with raspberry pi 3 and take videos of 30 minute at 1 FPS from each camera simultaneously and saving it. Here, I use 2 cameras directly connected with my raspberry pi and one camera is connected via external power hub to raspberry pi 3. The only problem I face is during 30 minute of video frames from 3rd camera attach via external hub has some black out part in frames. Would it be possible to attach all three cameras to the external USB hub?
Or at least swapping out each camera on the USB hub? That would at least determine if there is an issue with the individual camera. No, absolutely not. The Pi is not fast enough to handle 28 cameras. Even two cameras is starting to push the limit of the Pi.
Can you share a bit more details on your setup? Which version of Python, OpenCV, etc.? Hi, I need to use two USB webcams in an auto-script running from startup. Would you be willing to tell me how to initialise them and capture images from each? Hey there — this blog post demonstrates how to initialize both cameras.
Capturing at exactly the same time is a bit more challenging, especially if you are a bit new to coding. If you can tolerate a tiny fraction of a second difference between cameras this code will work just fine.
VideoCapture function can access your Logitech C, then yes, the VideoStream class will work with it as well. I use a Logitech C and have no problems with it.
It sounds like one or more cannot. I can access and take a picture with the camera using fswebcam. I built opencv The code works fine with your Raspberry Pi camera module? Are you using cv2. VideoCapture to access your Raspberry Pi camera module? I however, am stuck on a new problem. However, I am setting up another pi to monitor the gangway of my home and I want to just use the webcam only and not the pi cam module. I am stuck trying to modify this line so to eliminate the picam pimotion arguments.
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