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In that case we would be able to exclude non-trackable objects while fine tuning it. Yes, you could absolutely fine-tune the model to predict classes it was never trained on. I actually discuss how to fine-tune and train your own custom object detectors inside Deep Learning for Computer Vision with Python.
I have tried this awesome code with my own video. The moving is almost similar to the one you had. In my video, however, I encountered some little errors. This causes one object being identified twice. That is a feature, not a bug. In the event that a person is missed when they are walking up they are allowed to be counted as walking up after 1 they are detected and 2 they demonstrate they are moving up in two consecutive frames. You can modify that behavior, of course.
You may want to try a different object tracker to help increase accuracy. I cover various object trackers in this post. Question: I am trying to connect the people detected at the people detection step with the ID assigned to it at the tracking step. Any idea on how to do that? A brutal force I can think about is to match the centroid of the people detected in detection step with the centroid of the ids in the tracking step. Any better solution? I have tried to use people counter on video from actual store.
First, I tried to input the frames as they are, without rotation and the model performed really poorly. Also, if you have finetuned the model this or any other , it would be helpful if you could provide any info about the size of finetuning dataset — I am planning to finetune the model in order to detect occluded people behind the exhibited objects as they obviously affect the prediction accuracy for the model out of the box.
The model was not fine-tuned at all. Better accuracy would come from training a model on a top-down view of people. Hi, everyone can anyone explain how I can determine minimum system requirements for this particular project. For example, I built. But, I would like to know what the minimum system requirements are. FYI, the. Anyway, how could possibly one be able to calculate system requirements for some project to run seamlessly? One noob question.. I request that if I put out the information for free that others build with it, hack with, enjoy it, and engineer their own applications.
You want to detect people and QR codes in the same application? Hey Adrian, thanks for the reply, i am trying to make an entrance system which require ppl to scan a qr code which will store the data in mysql database whenever the enter a room and at the same time using a counter to monitor the number of ppl going in and out from the room. How much experience do you have programming and using computer vision?
Based on your previous comment I think you may just be getting started learning computer vision. Hey adrian! Hi Adrian thank you for this tutorial! It is working fine if person speed is slow but if person speed is fast it not able to detect the person, Here is my questions. You would want to run the actual object detector at a faster rate.
You can use my VideoStream class which will allow you to access your webcam. I unfortunately do not have any tutorials for using a network cam though. You can use this tutorial with the Pi but I would recommend swapping in a faster object detector.
Deep learning object detectors are too slow on the Pi. You would want to train your own Haar cascade or top-views of people. What type of ball?
Sports ball? Any arbitrary ball? The more details you can share on the project the more likely it will be that I can point you in the right direction. Is there anyway I can install scipy? Hi Adrian, Love your work. How to make your code to detect multiple classes?
There are a number of ways you can programmatically achieve the desired change. Try the following:. Thanks Adrian for good article. I need to count number of vehicles crossing a particular boundary post. What will be best technique? I would start by considering how you are detecting the boundary post. Is that something you can pre-label and know the coordinates of before you start the script? Or must the boundary post be detected automatically?
Hi — Boundary post can be check post. As you mentioned a Needs to be detected automatically — this is correct b Preset co-ordinates — unlikely Please suggest any suitable approach. But what happens if new objects appear in frame numbers for condition b.
They will not be detected by object detection model and will not be tracked? Correct, if a new object appears during the frame skip you will not be able to detect or track them. You need to achieve a balance between the two for your own application. How will you represent that people have been using a particular path more and another path less using heatmap?
It is possible. First of all, I have to say Thank You very much for this wonderful tuition. I am new to Raspberry, OpenCV,people count etc. I have no idea where to start at first, but your blog help me a lot. Really appreciate it. I wish if you could give me some adivce on people count program I successfully run your code on my windows OS which has high spec and raspberry PI 3 model B.
However when running on raspberry , the video almost freezes, it took a lot of time to process. I have read your comments on this page, and it seemed like people counting programming is very difficult to have a good performance on raspberry.
I just want to know is it possible to use raspberry with pi camera to do real time people count? Any advice would be appreciated. Stay tuned! How do I do that. See my guide on writing to video with OpenCV. If we reduce number of frames to skip say to one fourth of frame rate then it is highly likely that we reduce number of objects to go undetected of-course with reduce in performance due to invoking object detection more number of times.
Even if we object goes undetected during frame-skip it is likely that object will be detected in next subsequent frames since detected flag is still not set. I have observed this because some of objects are detected after crossing ROI line at-least after some frames ; Please confirm.
What happens if object has suddenly stopped moving — I guess once it is counted — flag will be set and even if it is stationary in subsequent frames will not be counted — correct? It sounds like you are using a very old version of OpenCV. Hi Adrian, im new with this image processing and opencv. I want to create a project that will count the number of car cross the line. However it cant detect the toys as a car.
Do i need to find another detector? The model used in this post was not trained to detect toy cars. You will need to train your own custom object detector. I discuss how to train your own custom object detectors including code inside Deep Learning for Computer Vision with Python. Now i want to edit the code to count the car when it cross from left to right instead of up down. I already edit the line into x axis, but it still count from up down.
Did i miss anything? I also faced same problem from above, is there had any solution? I had done edit all related variable or is there anything I had miss up? It is able to detect only total one people form right to left in that video, look for the help from this issue, thanks in advance. You Are Awesome Adrian. Very Good Luck. Hello Mr. Many thank. Hi Brilliant work ive got a question how can i set my video source from an ip camera? VideoCapture, it shows video frame, but nothing else works..
The goal of OpenCV is real-time image and video processing. Your OpenCV version is tool old. You need OpenCV 3. See this page for my list of OpenCV install guides. Sure, see this tutorial. Yes, just follow my YOLO object detection guide. Excellent post, as always! One question: is it possible to not increment the counter when the same person first enters, then leaves, then enters back again in the department store?
Yes, you could do that but that would require quantifying the face of the person. See this tutorial on face recognition for more info. For scenarios that implies privacy concerns, quantifying the face of the person is prohibited. Is there a way to quantify the body of the person — basically everything except the face: clothes, accessories, shoes etc. Gait recognition is more accurate for person identification than even face recognition!
FFMPEG is a quite awesome thing for these stuff but there are too many wrappers written for python and on the other hand we can use FFMPEG commands directly in python, i am a bit confused, Do you have anything i your mind about these stuff?
I really appreciate it. Hey, i would like to use faster rcnn or yolo v2 for increasing the accuracy can you provide me the weights and the. See this link for the YOLO model. Thank you for your good tutorial I tested your code and it seems running well. But when I adjust the skip-frame to smaller value 5 for example , it seems the counter is not working well anymore.
Thanks for the tutorial. I tested the code with the caffemodel trained with my own dataset around 1. Would like to ask is there any way to improve the accuracy of the model? Should i train with more data or is there anything else can i do? It sounds like a problem with your model itself. I would suggest working on building a better object detector. If you need help training an object detector I would suggest you refer to Deep Learning for Computer Vision with Python where I discuss how to train accurate object detectors in detail.
However, I have some queries I thought of discussing with you: — Is it possible to do object tracking sing tensorflow instead of caffe framework? Yes, just load your TensorFlow model instead of the Caffe one. Caffe can be a bit of a pain. It also includes my code base for object detection in images and video.
I would suggest starting there. I have already read some tutorials in your website but thy only for long distance when there is a long distance between camera and people and camera captures a vast space.
I am looking for some codes which are suitable for situations, there is a short distance between camera and people, as the below links do not work well under circumstances which camera can not capture large space short distance between camera and people.
I am looking forward to your answer. I have a problem with dlib. Any ideas? You should follow my dlib install guide rather than trying to install through PyCharm. The camera you choose should be based on your environment. Do you need auto-focus? Is the camera supposed to work in both day and night? Consider your environment first, then choose a camera.
Hey Adrian, I have a question I want to divide the frame into 4 quadrants and locate the detected object, I want to know in which quadrant does it lie Please guide me in the right direction Thank you in advance.
To start, simply detect the people in the image and compute their bounding box coordinates. Then compute the center of the bounding box. Since you know 1 the center of their bounding box and 2 the dimensions of the frame you can then determine which quadrant they are in.
I do not know how to solve the problem to run the program successfully. I just came into contact with it, so maybe my question is naive. The problem is you are not setting your command line arguments properly.
Hey Adrian, Great post I have a doubt though What if I have to draw the line vertical and then count if detected object is on right hand side or left What changes do I have to make to the code?
See the comment thread with Harsha. Thank you for the reply I made the changes and it works great I have another doubt What if I have to count the total Objects Detected in frame? Irrespective of them crossing the line. This is a really great post. I have one question. Suppose i want to create a program to count road capacity of a road in real time, how can i utilize the dlib package?
Or should i use something else? You would use semantic segmentation which will return a pixel-wise mask, assigning each pixel of an input image to a class. You can then count the number of pixels that belong to a certain class and derive your percentage. You can simply apply the object detector covered here. Once again, fantastic post. My journey with opencv and deep learning has started with you and I am enjoying every moment of it. Thanks Lyron, I really appreciate the kind words. You can certainly run it on Windows, just make sure you have the proper pre-reqs installed.
OpenCV and dlib you should be configured and installed. This is extremely helpful. Is there a way to send an mjpeg stream as the video source instead of a file or the default webcam?
Curious if you had any insight. Hi Adrian, Could you please tell me how can modify the detection part to put bounding boxes and confidence level as long as Id numbers counting them? If you are new to computer vision and image processing I would reading Practical Python and OpenCV so you can learn the basics. I want confidence level, the name of the object, as well as the bounding boxes.
How can I count in realtime though? The blog posts explain the code rigorously, the code itself is well documented as well. I would suggest you download the code and start playing with it. Building your own projects is the best way to learn. I believe in you Elena, good luck! And if you need more help you can find me inside the PyImageSearch Gurus course. Hey, thanks for the tutorial. I have a question which is a bit off topic.
I am working on a project where I detect animals from a video and I want to be able to identify them so I can track whether they leave a certain area and for how much time they stay out of it.
Individual animals are not that important and it is fine for me if IDs are switched. Centroid tracking was fine up to the point I started checking whether the animals are outside of a certain area by checking whether their centroid is in the area. Unfortunately, this is not good enough for me and I would like to also keep track of the startX,startY,endX,endY coordinates of their bounding boxes.
Maybe it is obvious but I cannot figure out how to do this with your implementation of Centroid tracking. Can you give me so advice on how to do it if it is possible or additionally is there another way that I can use to identify objects? Is the area within view of the camera? Or is it out of view? The camera that shot the video is put on top of a microscope which and it films bacteria in a petri dish so the area I am talking about is circular.
I think I managed to save the coordinates of the bounding boxes by registering by saving objects in the centroid tracking with their bboxes coordinates as well as centroid coordinates and then I slice inputCentroids and objectCentroids to get the centroid coordinates and compare the distance between them.
I think I understand the problem now. Your goal is to maintain a history of all their bounding box coordinates, correct? This tutorial will show you how to use it. It uses centroids rather than bounding boxes but you can update it to use the bounding boxes. Hello, i want to process this code in my desktop, but my camera from pi is built other way and just to send the frame to my desktop how can i do this? I have a plan to get a copy of your book like i get the deep learning starter bundle….
How can i configure this? That variable should be set with the current timestamp with the object is first detected. I was able to get it to count people in real time using the example video, but it chokes when the video has more people. Try using this post where I show how to distribute the object trackers over multiple processes.
Thanks for your sharing. Thanks for the wonderful code. So far everything was going fine,but while running the code when the lady just touches the yellow line the video is getting closed. Is this a problem with the model or something else. That is quite strange. Is there an error printed to your terminal? Double-check your terminal output. How do I get the rectangle top, left, right, bottom of the "to" object that is being compared instead?
I'd prefer to check if the rectangle intersects the line as the centroid may be above it. Due to quality of the video stream, artifacts, or simply a fast moving person and a slower processing pipeline, you cannot always guarantee the centroid will perfectly intersect the line.
I might have not been clear in my ask. Hi i might have overlooked however it would be great if you could help me with drawing rectangles around each person. Can this be created as a web page, suppose if you click a button on the web page the output video must be shown on that web page. Thank you very much for creating this tutorial, i found it immensely helpful, it would be very helpful if I get to know how to change the writer so that I can create a web application in such a way that the output video is shown on a web page.
Thank you for the post! Can you help me with the problem? I only changed dlib. Hello How do i hook this up to my pi camera and use it instead of just loading the preview videos? It is missing out few people. When more people are moving together in a group even then I can see wrong count as detection framework is failing to detect all the people in group.
When a person is idle for some time standing still or sitting and suppose detection is failing intermittently, identifying sometimes and sometimes not then the person ID is incrementing and resulting in wrong count. All these above mentioned problems are related to detection. Do you have any suggestion for them? Hi I was wondering is there a way in which i can show the video output on a website instead of in the window like produced above.
Hi adrian, Thank you so much for this project. I am currently trying to use this program. However, I got an error from the dlib. Can you please help me with this. I would like to know the setup for the recording of the example videos used here, specifically which are the height and angle of depression of the camera. Hello Adrian , Thank you for a great tutorial. How do I make changes on line to keep track of the x-coordinates?
Definitely take a look. This is great! I was wondering if there was a way to track them also going from left to right along with up and down? Having the horizontal and vertical line at the same time and tracking up, down, left, and right at the same time. The implementation there will help you. I have run it using Odroid Xu 4 mini PC and it is quite laggy. Your tutorial and code are truly amazing and have helped me get a jump start on this technology.
I have run the code successfully on Ubuntu I can definitely see a difference in performance and the newer laptop works fairly well. First, number crunching packages like NumPy, SciPy, and scikit-learn are all executed natively, rather than being interpreted. Hi Adrian, Thanks for the nice tutorial. Are you going to cover this in your book Raspberry Pi for Computer Vision in detail? Would it be explaining the conditions where this code does not work?
The code works perfectly fine in the video you have shared but does not work on my own videos in a similar setup. I have an overhead camera for counting people coming in and out of the room. It gives false counting.
That was a wonderful software which you have developed. First of all thank you for that great tutorial. I have two questions. First, can i change the position of the line that you draw to decide people are going up or down.
Second, can i use yolov3 tiny for that code? Yes, you can do both but you would need to implement yourself. If you need help I would suggest you refer to Practical Python and OpenCV so you can learn the fundamentals first before tackling this project.
I have installed the code on Raspberry Pi and the Raspi is installed on the roof which is 10 feet in height. When people are moving below it the device is not able to detect the same. Should we do any changes in the code? Also, will the performance increase if I install the same code on an orange pi plus 2e which as a 2 GB ram. I would definitely suggest starting there.
Thank you very much for the tutorial. I ask this because I am only interested in the people in the frame, rather than all of the other details. I know I will use an imutils function somewhere, but Im not sure which part to manipulate. That book will teach you the basics of computer vision, including how to apply the Canny edge detector. Hi , I am new to python and having difficulty in parsing the arguments, I am using mac, how should I Proceed?
Hi Adrian, Thank you very much for the precious tutorial. I face a problem in people counting project when I am going to track people though detecting them is not hard. Best Maryam. Hi Adrian, thanks for the great tutorial it helped me a lot in my traffic monitoring application. You could check and see if the ID is close to the boundary of the frame, and if so, delete it from the list of objects to track.
Hi Adrian , I have a doubt as to if this can help in counting number of students in a class , and is it possible to count number of children in a photo by headcount without having a large database of children photos availible to train. That book will teach you how to label faces based on their age and therefore be able to count the number of children in photos.
Using conda for Windows I have issues with dlib and imutils using conflicting versions of scipy. What are the latest versions of all the libraries without dependency issues? Try checking again. Thanks Adrian. And do you think is it possible to use this algorithm in real time android application?
Hi, how would you create a customized MobileNet model to deploy into this program? Where to start? I am actually using this code for a project. I wonder if its the computational power of raspberry pi 3. Could you suggest a more powerful processor that would run this code at a higher FPS and accurately count people. Maybe the new Raspberry Pi 4? If you need a fast people counter on the RPi, definitely start there.
I did check the website. At the moment the priority is people counter so which bundle do you suggest I go for? Can I tweak the source code form the post to do LED counter instead? Hi Adrian, awesome post. Thank you so much. Please tell me How to use this code for custom model? Object i want to detect there is not in Caffe model.
Deep Learning for Computer Vision with Python will teach you how to train your own custom object detector. This tutorial and the content on deep learning is awesome and really helpful. I am actually using this code for a project where we need to count each and every person who enters the retail store from a video clip. But the problem I am facing at the moment when any 3 or more person entering the store together with, the count is not correct.
The count I am getting as 2 instead of 3. Great post Adrian! So is there any ways that I can also record the clock time every times it detects a person up or down? Also, how could I populate the results into a text file or. Thank you Adrian! Hey Kyle — if you need help extending this project I would suggest you refer to Raspberry Pi for Computer Vision with Python where I cover your use case in detail. See my book, Raspberry Pi for Computer Vision , where I cover other types of tracking and counting including left-to-right counting.
I am looking to run this on a saved video file but not real time to get information about history. Objective is get the people inside the store at any given time which the difference between up and down. My video feed has the current time running on it. Any suggestions on how to do it for history video file and map the count to time. I would recommend reading Raspberry Pi for Computer Vision where that exact use case is covered. I actually recommend ImageZMQ for network streaming.
Hi Adrian!!! Hi Adrian, Awesome Post! Let me know your thoughts and how I can proceed with this? You mean like this? Hi Adrian, can I use other trackers such as kcf or csrt instead of centroid in this people counter project? You need centroid tracking to associate centroids. Hi Adrian, Great tutorial, thank you for passing on such valuable knowledge.
I currently have a need to count people crossing a line but only for part of the footage. Sir, first of all thanks a lot for this blog. Hello Adrian.
Can I combine the source code to count people, how long does it take for 1 person to another person to queue? While being in the second half of monitored area, the pedestrian is suddenly changing direction and going back down. I am trying to use 4 overhead webcams to track the position of people in a square-shaped room, and wondering if the solution lies in combining this tutorial with your two image stitching tutorials.. Not sure where to begin, so any suggestions would be much appreciated!
And thank you for all your great work. Take a look at my image stitching tutorials. Hi bro.. The plane, the visual field of the cam is also important.. Is it possible to save the frame number and coordinates of the object detected bounding boxes of that frame in a JSON file? VideoCapture object. Hi Adrian, Thanks for this informative blog post. I have noticed the overlapping bounding box of person.
Just grab the bounding box coordinates from the detected objects and pass them into the NMS algorithm. But it is saving latest image of that ID. I want to save every image as soon as it is detected. Please help me how to achieve this.
Based on detected object ID, I am drawing a rectangular boundary box and capture image in rectangle using frame start x,y and width, height of rectangle. Issue i am facing is I am unable to get correct start x,y and end x,y of all the identified objects and map it to correct object id.
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