If you are getting an error while installing requirement “lap==0.4.0” then try installing visual studio C++ complier as shown at 1:10:10. Let me know if that solves your issue.
i don't have this problem just with lap but also the specific version of opencv-python and ultralytics. I still can't solve it.pls i need some help cause this is my second course iwan not to skip too because of the same problem that i found with pycocotools
59:23 You can also get the classnames from the results variable: class_names = results[0].names print(class_names) The only difference is that it will be a dict with index keys as ID numbers and that's probably what you want but can be turned into a list with: class_names = results[0].names print(list(class_names.values()))
59:20 YOLO already have a name attribute: results = model.predict(stream=True, imgsz=512) # source already setup names = model.names for r in results: for c in r.boxes.cls: print(names[int(c)])
For anyone struggling with the requirements.txt, make sure you have Python 3.10 or above. I was trying to run it on Python 3.9, and it was saying there was some hardware error. I completely deleted and reinstalled python 3.10, and everything works perfectly. Besides that, this was a highly informative course on the YOLO algorithm and its applications. Thank you Murtaza.
This was the fix for me as well. I tried originally installed 3.12, and had tons of issues with the requirement packages. I even tried 3.11, and that was better, but still issues. Only after uninstalling everything and going with JUST 3.10, it worked!
You don't need to make 30 to 15 . You extract drawing line func. from second if loop and line will be there longer. 2:13:00 if limits[0] < cx < limits[2] and limits[1] - 30 < cy < limits[1] + 30: if totalCount.count(id) == 0: totalCount.append(id) cv2.line(img, (limits[0], limits[1]), (limits[2], limits[3]), (0, 255, 0), 5) Thank you for everything by the way.
fantastic work Murtaza, thank you! This made me think of autonomous drones: if you combine Yolo object detection with the Tello camera input and make it go forward as long as it detects objects in the room and stop it, when no longer detecting, you would have a sort of lidar for free...
Dude, i want an object detection / reader / scanner that works over a visor or glasses in real time. Could be very very basic at first but over time it would be an incredibly useful tool for the everyday human.
I made it through your 4:33 hour course in about 4 weeks probably more. "Object Detection 101 Course - Including 4xProjects | Computer Vision" Most everything worked with very little debugging needed. Did not find your bus picture, but google has hundreds of pictures of kids getting on a bus and they all worked with your object detection programs. I started learning Python this year on a Raspberry Pi5 connecting to various projects on a breadboard. When I learned how far object detection has come, I jumped in and was happily learning youtube python some days 13 hours. It was making sence and hard to stop learning. My goal is to track the ISS and guide my telescope with results. Thanks again for a pleasant object detection and tracking experience. This is a 5 star course in my opinion.
How beautiful if I had seen your video earlier. I not only learned technology, but also practiced English. Thanks a lot for your efforts and I will continue to follow you.🥳
Ow yeah i was waiting for this thank u very much and for people who coulnd't install lap library like me in chapter 7 murtaza install visual studio packets it will fix the lap library problem
Its was very helpful. Thank You Man. Im staisfed there is broccoli in classes because they are very helthy. btw. i found reasonable to set terminal shell to cmd.exe by default. Setting>Tools>Terminal > Shell path: switch to cmd.exe
This course help me for my learning project. ❤ Thank you sir. I need more specific counting for every class object. Could you make new video tutorials about it sir. Thank you again
Good work. Murtaza!. I would like to point one thing in car counter project. Instead of list for tracking counts, you might need to consider dictionary or a set for unique ids.
I would like to express my sincere thanks for your time, effort, and willingness to share your expertise with the online community. Your contributions have made a significant impact on my learning journey, and I am truly grateful for that. Once again, thank you for your exceptional work and for going above and beyond to educate and inspire others. I look forward to exploring more of your content in the future.，you are the best one
Excellent video Murtaza. I think you should have figured out by now that in the x,y,w,h system, the x and y refer to the centre of the bounding box and not the top left. That's why you had the rectange starting from the centre of your torso in the initial webcam example with cvzone package.
Hi . Can you please help me with the installation of the nvidia drivers because I am not able to install the nvidia drivers but have successfully installed both toolkit and cudnn. It's showing that the NVIDIA installer cannot continue because no nvidia GPU is detected on your system. This graphics driver could not find compatible graphics hardware.
Hi . Can you please help me with the installation of the nvidia drivers because I am not able to install the nvidia drivers but have successfully installed both toolkit and cudnn. It's showing that the NVIDIA installer cannot continue because no nvidia GPU is detected on your system. This graphics driver could not find compatible graphics hardware.
@@Piyushraj-ry1kz what python version you have? i had issues while installing lap package and I downgrade the python version and it all works fine after that
I don't know how to thank you but, you really helped me as I wanted a detailed tutorial on how to implement this step by step. Thank you, and keep up the good work.
hello Murtaza. firstly, great video. you have explained everything se well. in the poker hand project, you have labelled the Ace as 14, which will work fine for the upper straights. however for the straight Ace to 5, we need it as 1. so we need to write an extra line of code stating that if my list contains, 14, 5, 4, 3, 2 this is also a Straight and not a High Card. otherwise all's good. once again thank you for this amazing video!
Awesome video. I've been watching your videos nonstop for the past 2 days and I've learned tons. Thank you so much! A small tip for the last part of chapter 6 (Yolo with webcam), instead of hardcoding the class names you can simply access them using the model object like so: model.names[cls] Hope this helps :)
Thanks, A piece of advice: At the car counter project you are inventing a bicycle. You have no need in any "line" at all. You already have a tracker with ids. So all you need to do is to count all distinct ids.
Awesome video...just wondering if there is a camera where i could put inside an algorithm of Posture(for example) and put it in my home gym, not to be attached to my laptop. Can you recommend any? thanks.
Sir make a video on tensorflow object detection api. The history and the tutorial. There's not much videos and if it there they are not explaining well and everytime I run the projects they taught I'm getting error I don't know where it came from. Love from India❤️
Hello friend, I congratulate you, could I ask you how you can improve the fps of video transmission... or how to make the video look more fluid with the detection.
how can i download th requirement.txt ,from your website, its just showing to copy the text , i mean i couldn't able to download the zip file,do pls help anyone
Hi, I am using nvidia tesla T4 GPU from Microsoft Azure cloud virtual machine, and the gpu there supports TCC mode, now for projects like ppe detection, do we need TCC mode or WDDM mode, please sir do reply let me know fast, its required for an important project🙏🙏🙏
Hi, amazing tutorial! I have two question about the poker project: 1. Let’s say I have two different detectors, one for numbers (rank) and the other one for suit. How can use it detector to avoid to make a new “poker card detector”? 2. It’s possible to make an AI model to classify the hand given the detected cards? I mean, to avoid the traditional code in the last part of the tutorial. How? Thanks again!
If you are getting an error while installing requirement “lap==0.4.0” then try installing visual studio C++ complier as shown at 1:10:10.
Let me know if that solves your issue.
yes it's working thank you Murtaza
i don't have this problem just with lap but also the specific version of opencv-python and ultralytics. I still can't solve it.pls i need some help cause this is my second course iwan not to skip too because of the same problem that i found with pycocotools
Please pin this comment my brother, thank you for the fix.
thanks a lot it did help lots of love from Aligarh Muslim University Aligarh India
aayin@@sayyedasifrizvi3301
59:23 You can also get the classnames from the results variable:
class_names = results[0].names
print(class_names)
The only difference is that it will be a dict with index keys as ID numbers and that's probably what you want but can be turned into a list with:
class_names = results[0].names
print(list(class_names.values()))
59:20
YOLO already have a name attribute:
results = model.predict(stream=True, imgsz=512) # source already setup
names = model.names
for r in results:
for c in r.boxes.cls:
print(names[int(c)])
Hi, just wanted to ask someone thing.
I have learnt concepts like cnn, lstm. Should I learn this or should I learn something else before this?
For anyone struggling with the requirements.txt, make sure you have Python 3.10 or above. I was trying to run it on Python 3.9, and it was saying there was some hardware error. I completely deleted and reinstalled python 3.10, and everything works perfectly. Besides that, this was a highly informative course on the YOLO algorithm and its applications. Thank you Murtaza.
This was the fix for me as well. I tried originally installed 3.12, and had tons of issues with the requirement packages. I even tried 3.11, and that was better, but still issues. Only after uninstalling everything and going with JUST 3.10, it worked!
You don't need to make 30 to 15 . You extract drawing line func. from second if loop and line will be there longer. 2:13:00
if limits[0] < cx < limits[2] and limits[1] - 30 < cy < limits[1] + 30:
if totalCount.count(id) == 0:
totalCount.append(id)
cv2.line(img, (limits[0], limits[1]), (limits[2], limits[3]), (0, 255, 0), 5)
Thank you for everything by the way.
You videos are super clean! Nice work.
fantastic work Murtaza, thank you! This made me think of autonomous drones: if you combine Yolo object detection with the Tello camera input and make it go forward as long as it detects objects in the room and stop it, when no longer detecting, you would have a sort of lidar for free...
what if drone sees mirror
Hello Murtaza
This is your best video.
You are a great discloser.
Thanks for everything
Am in the right place at the right time. Thanks. i will be very greatful if you do another video with tensorflow ❤️❤️
Amazing tutorial, vey well explained. Highly recommended
This is the best course for beginner like me !
Awesome work ! Thanks 🙂
Dude, i want an object detection / reader / scanner that works over a visor or glasses in real time. Could be very very basic at first but over time it would be an incredibly useful tool for the everyday human.
I made it through your 4:33 hour course in about 4 weeks probably more.
"Object Detection 101 Course - Including 4xProjects | Computer Vision"
Most everything worked with very little debugging needed.
Did not find your bus picture, but google has hundreds of
pictures of kids getting on a bus and they all worked with your object detection programs.
I started learning Python this year on a Raspberry Pi5 connecting to various projects on a breadboard.
When I learned how far object detection has come, I jumped in and was happily learning youtube python some days 13 hours.
It was making sence and hard to stop learning.
My goal is to track the ISS and guide my telescope with results.
Thanks again for a pleasant object detection and tracking experience.
This is a 5 star course in my opinion.
The tutorials, are awesome and easy for beginners to follow up!
How beautiful if I had seen your video earlier.
I not only learned technology, but also practiced English.
Thanks a lot for your efforts and I will continue to follow you.🥳
had you encountered error installing lap package
Ow yeah i was waiting for this thank u very much
and for people who coulnd't install lap library like me
in chapter 7 murtaza install visual studio packets it will fix the lap library problem
thanks!
Thanks a lot. A very good course. Spread knowledge is humanitary.
had you encountered error installing lap package
Its was very helpful. Thank You Man. Im staisfed there is broccoli in classes because they are very helthy. btw. i found reasonable to set terminal shell to cmd.exe by default. Setting>Tools>Terminal > Shell path: switch to cmd.exe
Completed the project
What an amazing experience
Thanks a lot for making this incredible course
I was waiting so long for this tutorial thank you so much!
had you encountered error installing lap package
This course help me for my learning project. ❤
Thank you sir.
I need more specific counting for every class object. Could you make new video tutorials about it sir. Thank you again
May God bless you brother, thanks for the free and helpful content
had you encountered error installing lap package
amazing you are very professional,,and your teaching style is amazing I easily understand as a begginer😍🥰 ...
2:10:50 Please guide what should I do if I want to count each vehicle category separately. Like cars, bus, truck and motorbike...
Good work. Murtaza!. I would like to point one thing in car counter project. Instead of list for tracking counts, you might need to consider dictionary or a set for unique ids.
Man you just made learn the things in 2 hours, I have long been waiting to explore Yolo and today just did it and everything worked perfectly.
Thank you brother..
Thank you very much 👍😊
Congratulations!! Very good job!
I would like to express my sincere thanks for your time, effort, and willingness to share your expertise with the online community. Your contributions have made a significant impact on my learning journey, and I am truly grateful for that.
Once again, thank you for your exceptional work and for going above and beyond to educate and inspire others. I look forward to exploring more of your content in the future.，you are the best one
Murtaza you are doing a great job, its really helpfull for the beginners. To get an audio output what should we do with this coding?
I love this. I think i can get a job finally with this
😂😂
It's lucky for me to find this video!!! I can finish my homework with this video!
Excellent video Murtaza. I think you should have figured out by now that in the x,y,w,h system, the x and y refer to the centre of the bounding box and not the top left. That's why you had the rectange starting from the centre of your torso in the initial webcam example with cvzone package.
great stuff man, cheers from Poland :)
Congrats for the project! Really awsome.
Hi . Can you please help me with the installation of the nvidia drivers because I am not able to install the nvidia drivers but have successfully installed both toolkit and cudnn.
It's showing that the NVIDIA installer cannot continue because no nvidia GPU is detected on your system.
This graphics driver could not find compatible graphics hardware.
Thank you very much, your approach is exhaustive and very pedagogic.
Hi . Can you please help me with the installation of the nvidia drivers because I am not able to install the nvidia drivers but have successfully installed both toolkit and cudnn.
It's showing that the NVIDIA installer cannot continue because no nvidia GPU is detected on your system.
This graphics driver could not find compatible graphics hardware.
Due to which I am not able to proceed in this project.
Registration Done 👍
By the way wonderful course
Thank you so much it will help the students specially researchers
Good Efforts.. Keep it up.. You are the champion
Best learning from best teacher !!! you are amazing man !! how easily u have explained everything. Thank you so much !!!1
In this video full code is explained and given or we have to buy code
It's so Details, Thanks Bro ...
Goood Job, Thanks tooo much!
I Have a question sir, did you make cvzone library or not
Thank a lot for the course!
ish snawane le'phahla ishawe kakhulu...it really helped me
Is the project built in video pytorch or Tensorflow based?
Excellent tutorial! 👍
thank you, hope you make more courses on YOLOv8 like this, wish you a lot of health and happiness
had you encountered error installing lap package
@@Piyushraj-ry1kz what python version you have? i had issues while installing lap package and I downgrade the python version and it all works fine after that
@@skripandthes Which version
@@SwastikSaha1204 Python 3.9.9, but you can ignore the lap package because it was never used in this course
Also make videos on object segmentation and classification
thank for the course ! very useful
Very useful .Thank you sir
I don't know how to thank you but, you really helped me as I wanted a detailed tutorial on how to implement this step by step. Thank you, and keep up the good work.
Useful tutorial, thanks @murtaza. I truly wish the other courses were little inexpensive, so that we can learn from you.
Wow kya baat ha. Lahore ka munda goron ka ustad ban gaya Mashallah 🎉
thank you very much for this course it is realy helpfull
02:47:47 Bicycle at top right
hello Murtaza.
firstly, great video. you have explained everything se well.
in the poker hand project, you have labelled the Ace as 14, which will work fine for the upper straights.
however for the straight Ace to 5, we need it as 1.
so we need to write an extra line of code stating that if my list contains, 14, 5, 4, 3, 2 this is also a Straight and not a High Card.
otherwise all's good.
once again thank you for this amazing video!
Awesome video. I've been watching your videos nonstop for the past 2 days and I've learned tons. Thank you so much!
A small tip for the last part of chapter 6 (Yolo with webcam), instead of hardcoding the class names you can simply access them using the model object like so:
model.names[cls]
Hope this helps :)
Glad you like them!
fantastic work Murtaza, thank you! but There is a problem.
Helpful. Thank you
In this complete code is explained or we have to buy code??
Please reply fast
For those who can't find images zip- just snip photos from screen. Working
Hi Murtaza, I am unable to install the lap package and the error says its not a pip issue. A little help here please?
thank you so much for this!!
Excellent tutorial ❤
It's really helpful. Thanks for the tutorial!
had you encountered error installing lap package
@@Piyushraj-ry1kz try before pip install wheel
The tutorial was excellent, and I gained a wealth of knowledge. I greatly appreciate your dedication and hard work.
Good day, were you able to install lap?
@@BigDaddyRenny Good day! Yes, I was able to install all dependencies.
@@bozok1903lap didn't install... I don't know why but I really want this to work.
Can I learn computer vision engineering from a laptop which has 4GB RAM and intel R HD 520 graphics card ?
@@Santhandharma I think yes , try the code but I think the difference that as an example - the first project - the video and detection will be slow .
Thanks,
A piece of advice:
At the car counter project you are inventing a bicycle. You have no need in any "line" at all. You already have a tracker with ids. So all you need to do is to count all distinct ids.
IDs may change when there is bad detection
@@TaunoErik if bad detection happens, then we can't rely on line counter either.
@@vladimirkorshunov7734 at least we haven't counted it many times
Thanks so much. this was really educating and interesting.
Wow it's is amazing job 😮❤
Underrated channel
Murtaza, love your content, and now I just want to know more and more.
This is gold.
Awesome video...just wondering if there is a camera where i could put inside an algorithm of Posture(for example) and put it in my home gym, not to be attached to my laptop. Can you recommend any? thanks.
it's an amazing teacher
Sir make a video on tensorflow object detection api. The history and the tutorial. There's not much videos and if it there they are not explaining well and everytime I run the projects they taught I'm getting error I don't know where it came from. Love from India❤️
Good 👍
Hello friend, I congratulate you, could I ask you how you can improve the fps of video transmission... or how to make the video look more fluid with the detection.
Very useful lesson. 💯👍
Thank you very much
Awesome tutorial! tnx a lot
In this video full code is explained and given or we have to buy code
Kindly make video on licence number plate recognition with already made model and custom model
Nice very good job. Possible tracking players football match pose estimation ?
Why car id numbers are inconsistent? For example, after car number 5 it goes car number 9
The Version you pick on the cuda website is the windows version, not the cuda version
Excellent course. Thank you.
I have a question: How can I use a GPU with Apple M2?
Thanks sir!
how can i download th requirement.txt ,from your website, its just showing to copy the text , i mean i couldn't able to download the zip file,do pls help anyone
Just create a new file requirements.txt to that project folder and than copy paste
I follow your videso. THey are simply brilliant. I had one doubt though. All these are done using Python. Can we do same thing in C or C++ ?
Salam Brother... ❤ from Indonesia.
Thanks a lot sir !
im not skip ad :) thanks
One more excellent project as usual....waiting for next
thank you!!
Are you using any pretrained model or not?
thanks a lot for your effort. it is really great work, please keep going
Thank you sir it's amazing 🥰
you are best Murtaza.
such a great video.
Hi, I am using nvidia tesla T4 GPU from Microsoft Azure cloud virtual machine, and the gpu there supports TCC mode, now for projects like ppe detection, do we need TCC mode or WDDM mode, please sir do reply let me know fast, its required for an important project🙏🙏🙏
Hi, amazing tutorial! I have two question about the poker project:
1. Let’s say I have two different detectors, one for numbers (rank) and the other one for suit. How can use it detector to avoid to make a new “poker card detector”?
2. It’s possible to make an AI model to classify the hand given the detected cards? I mean, to avoid the traditional code in the last part of the tutorial. How?
Thanks again!
Best video on yolo , awesome