@wise guy Check out the rest of this tutorial playlist! You probably just need to watch #1, #4, #5 and then you can dive into the machine learning stuff talked about in this video.
Absolutely fantastic man. I never thought I'd be casually setting up machine learning, debugging, scrapping it and coming up with better results..all testing on my favorite games. Cheers mate.
This is the first series I am actually following on TH-cam, where I am not 3 years too late. Great content! I enjoyed every video so far, even though I know alot of the stuff in this one as I am currently writing my bachelor thesis in the field of machine learning.
Thank you so much! This is a wonderful series. This is my foundation for my opencv projects. I like the way you code and document. It's always complete and easy to understand.
You are simply awesome. your interest to teach along with the strain that you took to collect the training data shows it all. Please keep on doing this good work. God bless you.
This video is way too awesome. I rarely provide any comments in the web, but this video is so educational and well worth it to pass by. This is my very first machine learning video that I've watched and learned. You should really become a lecturer in some institute to pass on your knowledge. This video alone deserve a million thumbs up. Keep up the great work! I'll be looking through your channel for more videis :) EDIT: By the way, do you have plans to create a video like this, but covering CNN? I recently did lots of reserach and found out CNN is more capable as compared to Haar cascade.
I really love and enjou your concent. I haven't meet much youtuber who make programming and ai video like you did. I hope this channel grow more and become great.
Really appreciate all the effort you've invested in your videos. I am learning a lot from watching your videos and you've somewhat boosted my motivation to better myself with python. Thanks a lot, hope to see more of your videos!
Guy, this video help me too much. Congratulations for the clarity in the explanation. Was very hard to discover that i need to download the 3.4 version to use this features of cascade classifier. The info in the opencv site and forum are very disconnected. Your video sintetize all with clarity. Thank you so mutch!
I've been looking for a tutorial and I didn't got anything from them. and thankfully I found your channel you are describing things easily and I understood everything I need to. thank you so much Ben. keep going building great tutorial
Thank you for explaining everything! I looked at a lot of other tutorials that skipped over so much about how to install the commands, how to get everything set up, etc. Yours is a nice up-to-date tutorial from start-to-finish!
you are doing really good job, you get my attencion and i want to learn more about machine learning, i appreciated that you are making videos about programing :>>
Thanks man , For this whole series I had an experience making bots with pyautogui but it was very slow and weakk also inaccurate a bit, I found about opencv but I never ever thought I could do cool stufff but by watching your vids and reading blogs I learnt everything about opencv I made 5 bots with opencv , all very nice, game were :- 1 - Burrito Bison Launcha Libre 2 - stickman fight game 3 - archery game 4 - fruit ninja 5 - Air wars 3 Note : - You may also need to know a little bit of pyautogui for these for option like for clicking, double press, pressing key, etc, detection with opencv and of course basic python and also math
This video series has been one of the most concise I've seen so far... If it were possible to upload subtitles, I would like to upload subtitles in Spanish. Also it would be nice to see a comparison or review of YOLO algorithm.
Finally, a great and straight-forward tutorial on training haar cascades. Thank you. A couple of questions for you. I have the google imageset with all the annotations. Can I convert those and combine them into one file for use here? And secondly, I am assuming none of the negative images are marked. Is that correct.
@@dieweltentdecker5878 Does it? I just got a new phone and I can't remember what it looked like on my old one already. I've got the dark theme enabled on desktop.
I plan on just clicking the detected objects, but some sort of path finding would be much slicker. I've been getting a lot of questions about paths and routing a lot lately, but it's a pretty big topic so I'll have to make a separate video about it.
i have followed the series so far, as i am extremely new to python and barely have no experience, but ill learn what i need to to get what i want done, but this is the bit im unsure of, because idk how to execute it. >How would i get it so whenever the 'object' is detected on the screen it executes some commands for me, more specifically when the object is detected, it sends a signal to an Arduino that then powers some LED's or something?? - so far this has been great help, and thank you for your series!
"Error: Assertion failed (!ssize.empty()) in cv::resize" incase someone gets this error during opencv_createsamples.exe the reason I had it was because in the pos.txt file, one of my images has created a fake bounding box 0 0 0 0. Also the opencv_createsamples.exe will hang (never finish) if the last file in pos.txt is an image with no bounding boxes.
Hi, finally it comes to ML method. But could you make a new video on how to use YOLOv4 weights to detect object in the screen? I have followed some other tutorials and learned how to train a custom object detection model, but still have no idea how to deploy it into a real-time scenario. That would be very nice of you and thanks a ton!
As of 9-23-2022: There is a new OpenCV annotation tool by intel called CVAT (opencv.org/opencv-and-cvat-computer-vision-annotation-tool-intel/) so you no longer need to download OpenCV 3.4 as CVAT runs within a docker container. Link to Introduction to CVAT: th-cam.com/video/yZ9vdQptVBU/w-d-xo.html
I use Mac and had trouble using the OpenCV annotation tool. This really helps! Also for anyone trying to use CVAT, I found exporting images into WiderFace 1.0 format gives the closest representation to the tex file needed here.
I having a problem when running C:\Users\Jonah\Desktop\115\Ai\opencv\build\x64\vc15\bin\opencv_annotation.exe --annotations = C:\Users\Jonah\Pictures\pos\pos.txt --images = C:\Users\Jonah\Pictures\Ai-pics in command prompt it runs but nothing happens, I'm using the version from the video of open cv.
I'm facing a similar problem. The terminal shows the annotation tool run without any errors, it prints a list of the functions and what they do (for each image) in the directory and then the script ends but the window doesn't actually open to create the rectangles. Edit: My problem was there were spaces in the paths and it stopped at the first space so it couldn't find any images there. I just added double quotes around the path.
Crazy tutorial and thank you for sharing. Just a thought, manually marking the rectangles for positive images seems a very consuming proccess - especially if you have a big data set or multiple elements that you would like to create a cascade classifier. Is there an alternative such as: if we just had limestone(or related element) cropped image(s) in the positives folder and not a whole screenshot/specific coords that must be given manually.
Bro, you are the best
Thanks man
@wise guy Check out the rest of this tutorial playlist! You probably just need to watch #1, #4, #5 and then you can dive into the machine learning stuff talked about in this video.
Absolutely fantastic man. I never thought I'd be casually setting up machine learning, debugging, scrapping it and coming up with better results..all testing on my favorite games. Cheers mate.
I've struggled with looking through and understanding the OpenCV docs for Haar Classifiers. Thank you so much.
Happy to help!
This is the first series I am actually following on TH-cam, where I am not 3 years too late. Great content! I enjoyed every video so far, even though I know alot of the stuff in this one as I am currently writing my bachelor thesis in the field of machine learning.
Cool glad you like it! Good luck with your thesis.
I’m 2 years late
and I'm 3 years late now, how ironic@@0zero560
3 years late here
You have helped me a lot when it comes to learning to program. Your channel alone has taught me from a single video then playlist from other channels
Awesome, glad my style is working for you!
I watched tutorials in my own language but I didn't understand it as well as I do now. Thank you very much
thank you for this. doing this series making easier for people like me to learn these. thankss
Happy to make these. Thanks for watching!
Super underrated. Thanks a lot for all of the information
Thank you so much! This is a wonderful series. This is my foundation for my opencv projects. I like the way you code and document. It's always complete and easy to understand.
Glad you like it! Complete and easy to understand is what I'm going for.
You are simply awesome. your interest to teach along with the strain that you took to collect the training data shows it all. Please keep on doing this good work. God bless you.
This video is way too awesome. I rarely provide any comments in the web, but this video is so educational and well worth it to pass by. This is my very first machine learning video that I've watched and learned. You should really become a lecturer in some institute to pass on your knowledge. This video alone deserve a million thumbs up. Keep up the great work! I'll be looking through your channel for more videis :)
EDIT: By the way, do you have plans to create a video like this, but covering CNN? I recently did lots of reserach and found out CNN is more capable as compared to Haar cascade.
I don't always give a comment, but when I do it's to the epic series! Damn good bro. Keep up the good job. I'm watching you.
This is literally the best programming channel
I’ve ever seen
I really love and enjou your concent.
I haven't meet much youtuber who make programming and ai video like you did.
I hope this channel grow more and become great.
Thank you, I enjoy making these. Hope I can do it full-time someday!
This opened my eyes as to what opencv can do. I am learning this stuff for gaming too.
Hey great videos, it's helped me out a bunch for my university project where I have to detect car wheels in a video feed!
Awesome glad to help!
This was AWESOME!!! Much more comprehensive than the docs!
Helped me to add a new feature on my self driving car project! Cows gonna thank you!
Really appreciate all the effort you've invested in your videos. I am learning a lot from watching your videos and you've somewhat boosted my motivation to better myself with python. Thanks a lot, hope to see more of your videos!
Thanks man, happy coding!
Guy, this video help me too much. Congratulations for the clarity in the explanation. Was very hard to discover that i need to download the 3.4 version to use this features of cascade classifier. The info in the opencv site and forum are very disconnected. Your video sintetize all with clarity. Thank you so mutch!
Great video! Exactly what I needed for a project I'm working on. It's great to get a walkthrough to "grandfather" us through the process.
I've been looking for a tutorial and I didn't got anything from them. and thankfully I found your channel you are describing things easily and I understood everything I need to.
thank you so much Ben.
keep going building great tutorial
bro u made me pro from noob u are god!!! luv from India brother.
more machine learning content will be greatly appreciated, this is awesome!
This series is really awesome!
Glad you like it!
Thank you for explaining everything! I looked at a lot of other tutorials that skipped over so much about how to install the commands, how to get everything set up, etc. Yours is a nice up-to-date tutorial from start-to-finish!
you are doing really good job, you get my attencion and i want to learn more about machine learning, i appreciated that you are making videos about programing :>>
Thanks!
Thanks for the new video!
You should really be bigger your content is better than most
Thanks!
Thank you for your Videos, I'm excited for the next one! Great work what will help me on my project :-)
Ben i like that hand wave, "confuse no more". :)
Thank you very much! It worked and im very proud of doing this project. You're a very good teacher :-)
That really helps a lot! Thank you dude! That's the best tutorial of Cascade Classifier in youtube!
This is the video with most likes that doesn't have a dislike that i've ever seen! Good job :p
Great video! seen countless others that were hard to follow. This made it make perfect sense!
Great content! Thank you for sharing.
Best haar cascade tutorial i've watched! Keep up the good work!
I will definitly try this :) I really like the videos
Best of best, thank you so much!
Thanks a lot Ben ! This is very exciting ,we really want to see more machine learning content from you !
Another awesome video. No one on TH-cam i have seen teaching the def. You should start teaching python basic courses. Loved ur work..keep it up
Thanks man. Yeah I've thought about doing some more formal courses eventually.
This and the resources you provided in the description was extremely helpful thanks. Liked and subscribed!
Looking forward to this
Hey, glad you're still with me!
Thanks man , For this whole series I had an experience making bots with pyautogui but it was very slow and weakk also inaccurate a bit, I found about opencv but I never ever thought I could do cool stufff but by watching your vids and reading blogs I learnt everything about opencv I made 5 bots with opencv , all very nice, game were :-
1 - Burrito Bison Launcha Libre
2 - stickman fight game
3 - archery game
4 - fruit ninja
5 - Air wars 3
Note : - You may also need to know a little bit of pyautogui for these for option like for clicking,
double press, pressing key, etc, detection with opencv and of course basic python and also math
Please do more bot stuff in python, automating stuff with it etc etc, found your channel a week back been checkng out game botting luved it...SUbbed!!
Thanks! I've got more Python automation stuff planned for the near future.
This video series has been one of the most concise I've seen so far... If it were possible to upload subtitles, I would like to upload subtitles in Spanish.
Also it would be nice to see a comparison or review of YOLO algorithm.
Great series! I enjoyed each video and walked away with a tool belt filled with new tools. Take care and best of luck in your future endeavors.
Man I am in love with this channel plz keep uploading vids❤👌
This was a great tutorial! Impossible to find all this online. Thanks for the pointer towards the compiled apps you need to train the model.
I find your voice very soothing.
Thank you so much for this in depth tutorial. This is really helpful, cheers mate.
I want to see more machine learning content thanks!!
Bro this was such and awesome tutorial that helped me get started on my own project.
It has been two years already, where is the continuation? Why did you abandon your channel? You explain better than all my teachers! You're the best!
Very cool!!!!!!!
You are creating monsters dude....
Hey Ben! Thanks for doing this, much appreciated :)
Compliments ! this is very clear and well done , thanks for your job !
Wonderful work Ben! Keep inspiring people with your work!
Amazing tutorial! Thank you for sharing the knowledge.
You're awesome brother.. keep the good work!! Love your videos
Thanks for this super useful and quality video !
Man, you are awesome! love from India
Wow i really like your video format, you explain well! Subbed!
this is best tutorial ever !
Thank you man. You are an excellent teacher. :)
Good job! Really helpful!!! Thanks for sharing!
Such a great tutorial!!! Thank you!!
This was really nice, thank you!
your so good at these
good data good data thanks man
Finally, a great and straight-forward tutorial on training haar cascades. Thank you. A couple of questions for you. I have the google imageset with all the annotations. Can I convert those and combine them into one file for use here? And secondly, I am assuming none of the negative images are marked. Is that correct.
Nice video and a great explanation.
Bro, you're the best!
That was superb !
this is amazing!
Been waiting for this video for a long time
And as for moving towards those limestones, do we use pathfinding Ai?
Thanks for sticking with me!
Learn Code By Gaming Do the youtube app has a new black white design?
@@dieweltentdecker5878 Does it? I just got a new phone and I can't remember what it looked like on my old one already. I've got the dark theme enabled on desktop.
Learn Code By Gaming Just for 1h it comes.
I plan on just clicking the detected objects, but some sort of path finding would be much slicker. I've been getting a lot of questions about paths and routing a lot lately, but it's a pretty big topic so I'll have to make a separate video about it.
Thank you bhaiya! This helped me a lot
Great video it would have been great if you added CUDA support for detection I have already added it with OpenCV Cuda Support
thank you, helped me a lot
A shame you are making no more of these. I really like them.
Superb Bro..
if you can get a confidence score for each rectangle then you could extend your training data semi automatically
Thanks a lot, really !! Nice content
GREAT CONTENT
This is so cool
if you apply affine transformations to all of the images you could expand the dataset significantly
very great content thank you so much
good vid
i have followed the series so far, as i am extremely new to python and barely have no experience, but ill learn what i need to to get what i want done, but this is the bit im unsure of, because idk how to execute it.
>How would i get it so whenever the 'object' is detected on the screen it executes some commands for me, more specifically when the object is detected, it sends a signal to an Arduino that then powers some LED's or something?? - so far this has been great help, and thank you for your series!
"Error: Assertion failed (!ssize.empty()) in cv::resize" incase someone gets this error during opencv_createsamples.exe the reason I had it was because in the pos.txt file, one of my images has created a fake bounding box 0 0 0 0. Also the opencv_createsamples.exe will hang (never finish) if the last file in pos.txt is an image with no bounding boxes.
Good info, thanks for letting us know!
Thank you bro. I was stuck
Thank you so much for all these videos, can you please make a tutorial about how to make an AI for moba games? Or AI in general
Wait nvm I just realised I didnt finish the rocket league tutorial and now I'm feeling silly. Thanks for all your efforts
@@hamzah8186 You're welcome. I do want to do MOBA and also RTS AI's at some point.
@@LearnCodeByGaming I am glad to hear that, I'll be waiting for it!
Hi, finally it comes to ML method. But could you make a new video on how to use YOLOv4 weights to detect object in the screen? I have followed some other tutorials and learned how to train a custom object detection model, but still have no idea how to deploy it into a real-time scenario.
That would be very nice of you and thanks a ton!
Subscribed!
As of 9-23-2022: There is a new OpenCV annotation tool by intel called CVAT (opencv.org/opencv-and-cvat-computer-vision-annotation-tool-intel/) so you no longer need to download OpenCV 3.4 as CVAT runs within a docker container.
Link to Introduction to CVAT: th-cam.com/video/yZ9vdQptVBU/w-d-xo.html
I use Mac and had trouble using the OpenCV annotation tool. This really helps! Also for anyone trying to use CVAT, I found exporting images into WiderFace 1.0 format gives the closest representation to the tex file needed here.
great bro!!!
I having a problem when running C:\Users\Jonah\Desktop\115\Ai\opencv\build\x64\vc15\bin\opencv_annotation.exe --annotations = C:\Users\Jonah\Pictures\pos\pos.txt --images = C:\Users\Jonah\Pictures\Ai-pics in command prompt it runs but nothing happens, I'm using the version from the video of open cv.
I'm facing a similar problem. The terminal shows the annotation tool run without any errors, it prints a list of the functions and what they do (for each image) in the directory and then the script ends but the window doesn't actually open to create the rectangles.
Edit: My problem was there were spaces in the paths and it stopped at the first space so it couldn't find any images there. I just added double quotes around the path.
amazing thank you
Crazy tutorial and thank you for sharing. Just a thought, manually marking the rectangles for positive images seems a very consuming proccess - especially if you have a big data set or multiple elements that you would like to create a cascade classifier. Is there an alternative such as: if we just had limestone(or related element) cropped image(s) in the positives folder and not a whole screenshot/specific coords that must be given manually.
MORE MACHINE LEARNING!