Yolov8 object detection + deep sort object tracking | Computer vision tutorial
ฝัง
- เผยแพร่เมื่อ 12 ก.พ. 2023
- Code: github.com/computervisioneng/...
Yolov8: github.com/ultralytics/ultral...
Deep sort: github.com/nwojke/deep_sort
#computervision #computervisiontutorial #computervisionengineer #yolov8 #deepsort #objectdetection #objecttracking
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I WANT TO IMPLEMENT POSE ESTIMATION AND OCSORT
hello sir pls reply me my questions
Can't we predict the person intent recognition, using Yolov+DeepSORT
This channel became my best source thank you!!
You are welcome!! Glad you find the channel useful! 😃💪
Well done sir, it was a really great video!
Hey Felipe, just wanted to say that I've been following your work for some time now and your content has been very valuable for me and my colleagues. I hope you know how appreciated you are by your community.
😃 Hey Hector, it makes me so happy to know that my content has helped you and your colleagues. 😊🙌 Thank you for your kind words! 💪
Amazing ........I was able to follow the video and execute the code...It took me weeks to learn this......didn't think deep sort will be able to run on CPU....Great work....!!! Planning to make a use case out of this....
😃 Cool!!! Let me know how it goes! 🙌💪
hey can you help me on this i got problem where it says No module named 'sklearn.utils.linear_assignment_'
@@sharmaattri did you ever figure out how to fix it and if so can you tell me how?
@@talhaosmancelik8911 yes
Excellent tutorial. One question, is it possible to embed this code in the YOLOv8 architecture with a .yaml archive?
If i wanted to add a counter to sum up all unique objects identified , where and how do i do that
the best tutorial. thanks
Hey! Do you not have this error:
TypeError: tuple indices must be integers or slices, not tuple
Followed all the steps exactly and still got errors. I also cant seem to install some of the versions of the dependencies on python 3.7. The system says that the version you stated in this video is not compatible with python 3.7
Thank you so much for the tutorial. I want to use pytorch as my engine instead of tensorflow. How do i make these changes? i would really appreciate your guidance please!
Good tutorial Felipe, I was able to follow it using python 3.9
Cool! 💪🙌
good video for tutorials
How can I disable the print on my console of model(frame) ? I don't want to see the results:
"Speed:xx preprocess, xxxx etc..."
Is there an argument to disable that?
Thank you!
Thank you
I got an encoding error when trying to use the tracker:
UnicodeDecodeError: 'utf-8' codec can't decode byte 0xa8 in position 73: invalid start byte
is there any way i can fix it?
Does this only work for tracking people?
After :- tracker.update(frame,detections)
TypeError: tuple indices must be integers or slices, not tuple
this error always show up, how can correct it.
Anyone resolve this?
Hey there, I appreciate the high-quality content you create-it's been a tremendous help. I know your usual topics vary, but I'd love a deep dive into YOLOV8 and its customization for specific purposes. Specifically, I'm curious about training YOLOV8 on an image and a label, rather than the standard bounding box output. I understand the common practice is to feed YOLOV8's output into another model, but what I'm really after is direct control over the output layer-maybe having YOLOV8 generate coordinates or values instead of the usual bounding box.
In my case, having an accurate bounding box matters, but my images aren't razor-sharp. I already have the images and correct answers, but I want YOLO or the model to learn which reference points are crucial for minimizing loss. Any suggestions? While I can stick with using YOLO as an intermediate step and employ linear regression or a neural network for final training, I'm curious if there's a more direct or efficient method. Would love to hear your thoughts.
Hey, not sure if I understand, what do you mean with 'training yolov8 on an image and a label'? Do you mean image classification?
@ComputerVisionEngineer I want to run linear regression based on an image input. For example, if I have a person pointing at some location on a map, I want the model to produce the x and y locations of what he is pointing at. If I use pose detection, I can get the point from Yolo and then run linear regression. What I want to do is just feed in an image and tell it that the correct answer is some x and y coordination. For now, I am manually going through the photos and labeling the key points.
On a side note, if I made a key point in CVAT that WASN'T visible so it would be (1 x, y), would I then be able to make yolo do the linear regression for the images I provided? This might not work based on how Yolo handles non visible points, but with enough training, it might produce proper results.
@@stevegreen5638 oh you want to detect the point the person is pointing at, I think pose detection + regression is a good strategy. Why are you annotating the landmarks? You can detect hand landmarks using mediapipe.
@ComputerVisionEngineer Thanks, you saved me a bunch of time annotating! I am new to this space, so this is the first time I've heard of mediapipe.
@@ComputerVisionEngineer why you dont give id to each person i need to give id to person in my project whole video complete but no id assgin i am stuck help!!!!!!!!!!!!!!!!!!!!!
Brother i am using python 3.9 and i cant go below numpy 1.24.1
Is there any way to avoid numpy module dint have atribute int problem(this error ocurs when i call the tracker.update(frame,detections)
Great video. Can I tag people with unique ids as well?
Great video, thanks! But when installing dependencies, I ran into the following issue: ModuleNotFoundError: No module named 'sklearn.utils.linear_assignment_'. During the skikit-learn installation I got the following error: ERROR: Could not find a version that satisfies the requirement scikit-learn==0.21.0. Any idea?
I am getting the same error. Did you solve it?
these errors are typically a problem of python version. try downgrading you version to something like 3.10 or maybe 3.11 and that should work.
Realy great tutorials Felipe! Will you be able to make tutorial on how to train Paddel OCR? the online data for that is realy animatic and confusing. Thank!!!
Thank you! I will try to make a tutorial on how to train Paddel ocr. 🙌💪
thanks for your sharing, but where can i download model_data
How can I fix this error, ModuleNotFoundError: No module named 'sklearn.utils.linear_assignment_' I install all requirements.
Hi Sir,
I am I have used different Object detection (Yolo v3 to v8) and different tracking algorithm (Deepsort, ByteTrack, NorFair, StrongSort and MOTPY). But nothing is working well on CCTV footage for Superstore due to occlusion and change in side of object (front face human and back face human). Can you please advise anything?
Hey, dealing with occlusions is always challenging. You may want to search for papers with custom techniques for your use case in something like Google Scholar. 🙌
Hi Felipe can you pls mention the chance that you made in the original deepsort repo to make it comparable with tensorflow 2 ? Thank you
Sure. This is the change github.com/computervisioneng/deep_sort/commit/4af564af6c33d6539ae628f5e5e819d21235a9ea 🙌
hello thank you for the tutorial I had a problem that I call track I have this self._read_buf = _pywrap_file_io.BufferedInputStream(
UnicodeDecodeError: 'utf-8' codec can't decode byte 0x92 in position 84: invalid start byte
thanks for the help
hello sir , watched your video its really fantastic i just want to know how to operate a relay upon any particular detection.......
Hey please help me what I was supposed to do was recognise human and then track only him no other person should be tracked around the video even if his face is hidden he should be tracked can u give me the code
i can't install requirements.txt
my python version is 3.10, what should i do next;((
Can u tell how to get video from drone feed rather thn a saved video in pc
Great project!, How to change the tracking window period?
very helpful tutorials! Do you have any tutorial on Yolov8-pose model for fall detection ?
Hey, thank you! I have a tutorial on yolov8 pose detection, but it is not about detecting falls. 🙌
Thank you sir very much for amazing vedio❣️
🥰 My pleasure! Thank you for watching! 😄🙌
hello sir i hope ur good can u upload the hole project with file so i can test it cuz im facing issues and I don't any idea about it
Hey can I get back the className after the tracker. update() so that I recognize which id belongs to which object if anyone help I will be grateful
Can I do it with a video live? like recorded in real time by my camera
I am trying to find the speed of these people, how do I get the x1,y1,x2,y2 for the selected object's previous bounding box? If I get the list of trackid and bbox before updating tracks then those will be the tracks from previous frame right?
You would have to use an auxiliary variable to save the detections of a frame and then use it while processing the next frame. I would use a dictionary, something like previous_detections = {0: [x1, y1, x2, y2], 1: [x1, y1, x2, y2]... } with 0, 1, etc. your track ids. Then you update this dictionary at the end of every iteration with the detections of that given frame. 🙌
Hi, Is it possible to perform detection only for every nth frame rather than every frame? your help would be appreciated, I can't find any example where this is done
You can use simple counter variable to keep count of every frame and run the detection code only if the counter variable is divisible by 'n' value.
hello.. I managed to run everything almost to the end.. problem that when doing the detectionhave a problem with linear_assignment...
where do I put the network and detection folders that you made available on the drive? Can you help me?
thank you for sharing your knowledge with us!
Did u figure it out? I also got the same
Dear Tutor,
Greetings! I am facing compatibility issues with the Python version while instating the requirements.txt file. Can you confirm the Python version again for this tutorial ?
Hey, I usually use Python 3.8. What is your OS?
if i want to detect vechile plate in this code so how would I use custom weights to modify this pretrained weight to also detect number plate?
When loading the yolov8 model, you would need to specify the location of your custom model. 🙌
Hi, amazing tutorial. I just want to check if it's possible to use Yolo detection once and then the tracker for the rest of the frames rather than continuously detecting objects inside while loop, because using detecting objects for every frame would add to more processing time and would make it slower for real-time applications. Thank you again.
Hi, in order to track objects you need to detect them first, the input to the object tracking are the detections. 🙌
yes but not many new objects appear in every next frame, maybe every second is enough for detecting ? how would we relate the detections to the trackers in this way >?@@ComputerVisionEngineer
This seems like a cool project to make 🙂
It is! I really enjoyed it! 😃💪
@@ComputerVisionEngineer quick question , it has to be the same version of scikit-learn that are specified in the requirements.txt for it to work?
It may work with a different version of scikit-learn. May I ask why would you use a different version?
@@ComputerVisionEngineer I was trying to install the version of the requirements.txt but it trow me an error so I installed another one , seems to be working just fine 🙂 , btw keep the good videos coming 🤝🏽
😄🙌
thank you for you video! do ou know how to use GPU with YOLOV8? and TensorRT? Thank you in advance
Is it possible to calculate the distance between the boundary(person) ?
Computing the distance between the different people may be a challenging task in this video, given the perspective of the camera.
can i train the model to detect only persons? and can i implement pose estimation models like mediapipe pose with this? i want to do real time fall detection
Yes bro you can also detect only the person. You can use both yolov8 model and mediapipe Library for pose estimation
Great tutorial, Felipe, thanks
when showing the frames, the fps is too slow, approximately 2-3 fps. can you explain why is that and what we can do to improve the fps? i tiried using the GPU but this help just a little bit (5-6 fps)
Hey, deep sort + yolo is taking you around 2-3 fps? are you detecting too many objects per frame?
@@ComputerVisionEngineer I suspect the problem related to deep sort because if I comment the tracking part, the detection works in real time. I am using your video for the detection and tracking, so I am detecting/tracking all the people in the frame.
@@yacinerouizi844 oh I see, that is probably it! There were many people on that video!
@@ComputerVisionEngineer ah ok I see, thank you for your help :)
@@yacinerouizi844 you are also plotting the rectangles for all the detections, try to turn the drawing off to see what happens. Also, try with a video with only one object, to test if the number of objects is the reason of a low execution time.
how do you use tensorflow and pytorch in one environment???
yolo is impelmented with torch and deep sort implemented with tensorflow
Hi, you can install both packages in the same environment, no problem. There may be an issue with gpu usage if both packages tensorflow and pytorch use the same gpu, though. 🙌
Hi, I installed all the installations from the requirements file, however, I get this error: AttributeError: module 'tensorflow' has no attribute 'Session'. How do I fix this? Thank you
Hey, make sure you are cloning my fork of deep sort, as it says in the Readme of this project repository. 🙌
@@ComputerVisionEngineer Thank you so much, I have another issue. I am running the code on a virtual environment (conda)(windows 11) I installed all the requirements, I am using pycharm. However, I get this error: KeyError: "The name 'images:0' refers to a Tensor which does not exist. How to solve this issue?
@@mqondisifortunemavuso3980
I got the same issue... did you get a fix for that? It is a huge help for me😅
thanks a lot for your great video. I wanted to run it by myself, but I could not find "model_data" to download. you told that it would be in description, however it is not there! how can we find that?
It in the github repository. 🙌
Thanks for your interesting tutorial. I would be glad if you give me a clue about confidence score. When confidence score is printed as output for all specific frames, it is identical for all detected objects in the video. Is it computed for all the detected objects? I expected to have difference values per each detected objects.
Hey, when using an object detector you will have a different value of confidence score for every detected object. 🙌
Yes but it is not the case for the written code. I extracted the scores from tracker. It is the same value for all the detected object in each frame. I may have missed a point!@@ComputerVisionEngineer
If printing the confidence score from line 33 main.py you also get the same value?
That is correctly working. The question is about the tracker. I would like to show confidence score and the associated estimated class for the detected object. I would be thankful if you let me know how to do that. I am trying to reach it by means of defining a dictionary for each object but I am not sure deepsort encoder supports it or not.@@ComputerVisionEngineer
Hello sir! Thank for the tutorial it was very clear and helpful. However when I try to play a video with no custom object at the beginnig of the video, there is an error in the code. In the fonction "update" from "Tracker" I have this message: "bboxes[:, 2:] = bboxes[:, 2:] - bboxes[:, 0:2], IndexError: too many indices for array: array is 1-dimensional, but 2 were indexed". But I don't understand since there is nothing to detect.
Do you know where is the problem? Thank you in advance
Hey, if no objects were detected bboxes may be empty. Maybe you could try with an if around that instruction so it is executed only if bboxes has the proper shape. Let me know how it goes! 💪💪
@@ComputerVisionEngineer Thank you very much for your quick answer ! I tried with an if around that instruction and yes it seems to work😁Thank you again !
I am sorry but I have an other question. If I well understand "mars-small128.pb" is a model which better work to track people right? So do you know how can we train a model like that but with custom objects?
Can II track some other objects say pomegranate using same method?
Yeah sure, you can track other objects with the same method 💪💪
If I want to track vehicle, what should I do to train the DeepSORT feature extraction model
you can find trained models
Hi felipe! Is it possible to display the class id along with the track id in the frame?
yes, you just need to add cv2.putText() function.
how to add class into this ?
thank you for greate and interesting explanation sir! in the video you mentioned that you are going to put the model_data folders link in the description but i couldnt find it could you please share it?
Take a look at the readme file of this project's github repository, everything is there! 🙌
Sorry - I don't understand one thing: Why clone the deep_sort rep? Why not pip install?
We are cloning a fork from deep sort, I made a small edit to make it compatible with the tensorflow version I am using in the tutorial.
thank you verry helpful, do you have any video that talk about deep sort details?
Hey, thank you! I don't have any video that goes into the details of deep sort. It may be a good idea for a future video! 🙌
Hey, Thank you for tutorial. Is it possible based on this code to add detected class names to output? Like - "id1:Car".
Hey, yes it is definitely possible to draw the detected class name next to the bounding box. 💪💪
@@ComputerVisionEngineer I am looking for it since 2 week, here to modify to get the result. A reply will be very helpful
What hardware and software do I need to start? Please, I am new to this, so detailed answer would be appreciated
Hey, do you mean what hardware and software do you need to start in computer vision? You can start with only a laptop as hardware; and Python, OpenCV and Pycharm as software. 😃💪
@@ComputerVisionEngineer got thanks, what about to execute an entry from the keyboard?
Hey I'm not able to install the specific version of scikit-learn can you please help me out ??
Have you tried installing a different version?
How to label individual objects with the corresponding class labels ? i want to also labels the individual tracked objects with the corresponding class names , is that possible ?
Hey, not sure if I understand, in what way you wish to label the individual objects?
@@ComputerVisionEngineer i mean the actual id' the tracking id's you identified unique to those bounding boxes being tracked by the deepsort , but what about the class_labels that were detected in the yolov8 , the correct class "person, bicycle" and get that class correctly, i tried myself and was unsuccessfull, i'm sure now i might have made myself clearn , or else please don't hesitate to ask furher explanation
@@ComputerVisionEngineer I want to know the bounding box class_label correctly apart from the track_id, that you predicted in your tutorial, i am trying to print it using opencv putText upon every bounding box . But i am failing
hello sire, when i installed the requirements it said the sklearn version 0.21.0 is unavailable. which version should i use instead?
Hey, in that case try to install it without specifying the version.
Hi, I tried to implement the code but I faced the problem: ModuleNotFoundError: No module named 'sklearn.utils.linear_assignment_'
How can I solve it?
Thank you for ur tutorial!
Hey, have you installed the projects requirements?
Can we estimated speed of objects movement based on tracking?
It depends, if you have a stable detection with no occlusions and the object is moving through a 2D plane, then yes. In any other case, I guess the estimation would not be very reliable.
Thank you sir!This is the best yolov8 vedio i had ever see!Just clearly to show us how to build yolov8 byu our onw! well, i meet a problem wich is confuse me many days, it's about the "main" file, It says"in line 68, in tracker.update(frame, detections)" AND "line 25, in update bboxes[:, 2:] = bboxes[:, 2:] - bboxes[:, 0:2] ValueError: operands could not be broadcast together with shapes (37,3) (37,2)" . I really don't know what's going on,i had check my code many times, even i copy your code and try to run it , i had follow the video to setup setting step by step, So i really hope you can give me some advice, thank you so much!(by the way my python is 3.10.11)
Hey, you are getting this error at executing the code exactly as it is in the github repository? The line numbers you provide don't match with the code in the repo.
even I got same error
@@ComputerVisionEngineer
thanks a lot. the idea of the video is great, however the code needs to be updated. especially when you use scikit-learn==0.21.0 since the latest version of this library is 1.4.0. I have tried to make the code compatible, but the tuple error and some consequent error happend. so the idea of code update would be great.
Thank you for the heads up! I will try to update the code soon. 🙌
Hi there, is this work for YOLOv7?
why track id didn't work and you skip it ?
is it possible to draw the lines of the people's path?
Sure, it is possible! Try to do it by plotting a small circle on the center of the bounding boxes. 💪🙌
@@ComputerVisionEngineer do you know how to do that? I honestly have no clue sry
I Want to count the number of detections on my custom trained model can I do that
Do you mean the number of detections on a given frame?
What is Env and coco_classes file
I have cloned the repository of deep_sort but it always shows the message 'ModuleNotFoundError: No module named 'deep_sort''
Are you using PyCharm?
@@ComputerVisionEngineer I use visual studio code
Really grateful for your video🎉. I am running into some small package error can you mentioned want python version your using pls ?
If not mistaken I am using Python 3.8 in this project. 💪💪
@@ComputerVisionEngineer thank you 🙏
Thank you for this great video sir, God bless you. I am having issues in running the code as it is taking too long to run to run on my PyCharm. What can i do?
Hey, try with a video with fewer objects, the one we use in the tutorial there are many people who are tracked through the frames and that makes the process slower. Also, you could try to execute it in a GPU, for example using a Google Colab. 🙌
@@ComputerVisionEngineer thank you so much sir
hi,can you do a video on object tracking using spiking neural network
I will try to 🙌
Hello. Awesome tutorial. Where can I download the mars-small128.pb file you meantioned?
Hey, thank you! There is a link in the github repository. 🙌
@@ComputerVisionEngineer Hello, I tried to replay a couple of time but seem my reply keeps getting deleted. Could you tell me which github repository. it seems I have o generate the mars-small128.pb from deepsort github
Hello sir! Thank you again for the video, it was very helpful but I have a question. For now I can track all the object but I would like to track only the moving object. I don't really know how I can do that, do you have any suggestion? Do you think if I creat a list and update it at the end of every iteration with the detection and use if [x(t), y(t)] != [x(t-1), y(t-1)] then no bounding boxes, could work? Thank you in advance
Yeah something like that would work, you would need to define exactly what is a 'moving object' and then remove all the detections that don't match that criteria. 🙌
i want to learn more from you im college studentand my dream is computer vision engineer and interested in xr i want to be like you how can study frist i want to follow what you studied and how you studied
😃 Computer vision is such an amazing field! I invite you to take a look at other of my videos about a computer vision roadmap: th-cam.com/video/DfPAvepK5Ws/w-d-xo.html 💪🙌
please help
I am getting this error:
__init__() missing 1 required positional argument: 'metric'
My tracker.update (frame, detection) only takes two input. And frames isn’t part of it. I cloned the same git repo you added in the video description.
model_data/mars-small128.pb where can i get this.
Why in tensorflow and not in pytorch? I truly hate tensorflow.
Thanks for great video. Can i extract the ID of each people from Deep Sort
Do you mean the track id? Yes, it is possible. 🙌
if i running on python Python 3.10.8 will there be error?
I think you won't have any error running this project on Python 3.10. Let me know how it goes! 🙌
I can't install python=3.7, and with other versions of python this code won't run
Hey, this code would run in different version of Python, sure. it is hard to say why you are having challenges to install Python 3.7.
how long did it take to infer?
Hey, I would need to run it again to give you a super accurate answer, I may have time to do it in the following weeks. But if I don't, from what I remember the process wasn't real time but the execution time was ~ok. I hope it helps!
Nice tutorial, i am making prj fldetection wildlife dangerous.Do you have any database for this😢?
Thank you! I am glad you enjoyed it! I don't have any database for that. 🙌
can you please do similar video for deepfake detection...please
I will try to. 🙌
if col not in indices(:,1):
error in deepsort/linear_assignment.py file
What Python version are you using? Are you working on a virtual environment? Do you have more information About the error?
@@ComputerVisionEngineer using conda environment. First of all I get error in deepsort/linear_assignment.py that uses depreciated version from sklesrn.utils…. import linear_assignment which i could fix by importing from scipy.optimize import linear_assignment.
Then when I run the main.py I got the following error in the line if col not in indices(:,1):
The error is tuple indices must be integer or slices not tuple. I managed to fix this line but I get same error in the following lines of code
The python version that I am using is 3.10.9
Did you install the requirements from requirements.txt?
@@ComputerVisionEngineer i tried to install from requirement.txt but was unable to install tensorflow and sklearn
Maybe that was the problem? I will try downgrading python version and try to install requirement.txt package.
@@nabinsharma7377 try with Python 3.7
How long does it on CPU to get train.
This video is about object detection and tracking, we are not training a model.
@@ComputerVisionEngineer yes I mean deepsort is taking time to be displayed as final output.
Hey! Great tutorial! Experiencing this error:
tracker = Tracker()
TypeError: __init__() missing 1 required positional argument: 'metric'
Do you have any advice on how to fix this? Thanks!
Hey, take a look at the imports, it seems it is taking deep_sort.deep_sort.tracker.Tracker instead of tracker.Tracker (the custom class we defined in tracker.py). Are you executing the same code as in the github repository? Are you using Pycharm (or some IDE) or just executing the script from your command line?
@@ComputerVisionEngineer i got the same error
Sir pls share your linkedin profile so that we can get connect there.
Sure, I will update the information in the about section shortly and I will add a few social networks, LinkedIn may be one of them! 😃🙌
Hello Sir, I really like the project. but can you please make the same video with how to make the same thing without using the "Grapper file " so we can understand what is actually happening and apply the things we learn to other projects we make also. as at the end of the day its about what we learn from the project so that we can apply in our own projects. if not its exact like copying.
Hey, yeah sure I will consider it for future tutorials. The idea of using a wrapper for deep sort was just to make all the tracking process more straightforward and the main script much cleaner, but we can just do everything from scratch in future tutorials! 😃🙌
@@ComputerVisionEngineer Thankyou. This way will we learn how to clean it ourself and will help us a lot more in future
Hello
Hello Dipesh! 💪
Bad!
Does anyone get the error: from deep_sort.deep_sort.tracker import Tracker as DeepSortTracker
ModuleNotFoundError: No module named 'deep_sort.deep_sort'?
Hello, I'm glad to have just solved the problem. You might want to double-check where your data is exactly located. Here are the modifications I made for your reference:
from deep_sort.tracker import Tracker as DeepSortTracker
from tools import generate_detections as gdet
from deep_sort import nn_matching
from deep_sort.detection import Detection
Hello, I've tried following along with the tutorial, up until I ran the code and got this error. Any idea what the error is? I also followed the directories same in the video, but still got this error. A quick reply would be awesome! Thanks, have a great day :)
tensorflow.python.framework.errors_impl.NotFoundError: NewRandomAccessFile failed to Create/Open: model_data/mars-small128.pb : The system cannot find the path specified.
; No such process
So I edit the code from Tracker.py and specified the detailed path. This time I got this error. Is there any solution to this? I also used the same video sample that used in the tutorial.
bboxes[:, 2:] = bboxes[:, 2:] - bboxes[:, 0:2]
~~~~~~^^^^^^^
ValueError: could not broadcast input array from shape (37,2) into shape (37,1)
Hi, if you are using the same video and same code as I am using I am not sure what could be going on. Have you tried with other videos?
Hi Bro, We are Industrial Vision Solutions Provider from Indonesia. We deliver many projects of Vision System to our customers. So, I am looking for a Computer Vision Engineer right now. I wish I can get your contact & discuss it. Need your Feedback ASAP!
NB : A computer vision engineer as a freelancer
Hey Kaspul, thank you so much for reaching out to me! 😀 Unfortunately, I am currently super busy with this TH-cam channel and other freelance clients, I won't be able to help you in your projects. I am grateful for your interest and hope to keep in touch in the future! 💪🙌
Great tutorial Felipe. However I have a question, when I try to print the track_id of each detected person it skips number so for example the first person detected has a track_id of 1 but the second is 16 and the third is 33, can you help me with this problem?
Hey Angela, Is the tracking working well? I mean, the person detected as 1 (for example) through the video is always the same person?
@@ComputerVisionEngineer yes and once the person is assigned an id it does not change but it's all about this gap in the numbers
@@ComputerVisionEngineer but different persons are assigned different ids
I am not sure what could be causing the gap in the numbers, but you can solve it easily by keeping track of all the numbers that are detected and mapping those values to other values you choose.
@@ComputerVisionEngineer can you tell me how can i map the values to the values i want?