At first I thought that I just wanted to cheat on the game. Then I saw your video. Then I saw the future. And now I know that game will be only the first step for me in this story.
great explanation of zip(*location[::-1]). Being some what familiar with opencv, I have never come across such a clear explanation of that line before.
Just discovered your channel and am enjoying it very much. I really like your presentation style, the fact that you show manual pages, and that you know what you are going to say with no fumbling.
I have been waiting for this part very eagery, and it was worth the wait. My test script was able to identify objects I show on an image. There is a sense of great satisfaction when you see something you made work. Figuring out just the right threshold where the program can find out things quite right was the part which took a bit of time & lots of trial and error (understandable). Really glad that it worked out. Thank you! Looking forward to learning from the next videos in the series as well as from the old ones on the channel.
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! It has been 2 years already, perhaps you have improved object detection, bot performance, and their movement between points, or maybe there's something else interesting to see!
I am learning opencv because I love to automate tasks and I love to play online games and I have to say your channel blows my mind. I watch and re-watch all of your videos. It have been AWESOME learn with you, thank you very much spending time teaching us all.
super excited for this style of tutorial. Project centered learning is definitely the way to go, and there isn't enough.. I don't want to say "hand-holdy" content, but after you get to a certain point programming kind of takes a leap off the diving board into dense documentation.
Ты делаешь очень крутые вещи для очень привычных, для многих, занятий. Большое тебе спасибо! You do very cool things for very familiar, for many, activities. Thank you very much!
Just came across your videos recently and I have to say you are amazing! I have been trying to learn programming for nearly a decade but it never really grabbed my attention, and totally lost by the time i got to object oriented programming. First time ever I am actually enjoying the lessons. Subbed and crunching through all your videos!
Man this is funny I actually came to your channel with the pyautogui video hoping to code a fishing bot for Albion online, and look what I see! A tutorial for harvesting cabbages
Really interesting and nice explanation. I find that using games to learn how to program is a really neat way to learn the basics of a program. Mainly because you are already familiar with the game, but also because there's 1000 different things to "program" for in a game. I started with programing a rocket guidance system in KSP by using KOs, but also it made me learn more about Bash and SSH since I was running KSP over the network and I used SSH to connect to the game "telnet console". I'm going to hell for this one but: One eye on the code, one eye on the console :)
Yeah the project ideas with games are endless, which is great for beginners because it helps you get a lot more time writing code. Kerbal Space Program is fun, haven't played it in years!
Всех приветствую! Бен большое спасибо тебе за твой труд! В русском сегменте ютубу, к сожалению довольно мало именно прикладного использования Opencv, информация подается в виде поверхностного ознакомления. Еще раз тебе спасибо!
Greetings to all! Ben thank you so much for your hard work! In the Russian segment of RU-vid, unfortunately, there is quite a little application use of Opencv, the information is provided in the form of a superficial acquaintance. Thank you again!
Thanks! Part 3: Grouping rectangles and calculating mid/click points. Part 4: Fast real-time image capture. Part 5: Real-time object detection. Part 6: Image processing for better match results. Part 7: Integrating automated clicks and bringing it all together. Might be a few parts past that, too.
You can search for multiple images, but it starts getting slow pretty fast in my experience. I filmed the next video earlier today, so I should be done editing and have it uploaded in 2-3 days.
Amazing, thanks for your tuts! Can you show us an example on how to use opencv to let the bot detect when the bot reaches the edge of a zone? I'm trying to let my bot gather resources by walking randomly and with an unstuck feature. Only challenge is that he keeps getting stuck at the edge of the map.
I ran into a problem with the code example at 10:23. When running that in VS Code my CPU usage spiked, the program took 5-10 minutes to finish, and the image result was different from the one in the video. For anyone having this example freeze up on them, the issue for me seemed to be calling "cv.waitKey()" with no argument (line 35). After changing "cv.waitKey()" to "cv.waitKey(0)" the code ran in a fraction of the time and produced the expected image result.
Thanks for pointing that out! From video 4 I started using cv.waitKey(1) myself. I don't recall why I made the switch, but I probably ran into problems, too.
@@LearnCodeByGaming Weird, I just went to double check and can't recreate the bug anymore. waitKey now works even without an argument. Some "magic smoke" stuff going on in my computer...
it opens for me like 4 windows and in the last it only shows all the images im searching tho after i close same image with same marked sports appear.. any fix ? or its suppose to be like that ?
Hey, Great tutorial! Is it possible for you to make some tutorial on how to walk your character in in a defined square? I am trying to make a bot for pokemon game farming in grass and I am not sure how to move my character in the same area without it going to the wrong way. Thanks!
For some reason, sometimes it will return a full black image when calling the WinCap.get_screenshot() method. I have to keep restarting the game and visual studio until it works again. Someone figured out this?
thanks alot for these tutorials. I am also learning as I follow along slowly. I have a question, for your for loop, would it be possible (or easier) to compact into a list comprehension? if so, how would that work?
@@LearnCodeByGaming using the other technique of for looping through each pixel and seeing if it matches a color on a list. It works pretty well but can be slow at times
ok, i do have the problem, that a result, which is false, has a higher confidence value, than what i am looking for, so i cant set the threshold higher, cause then i dont get what i want. however, my object im looking for isnt static, its kinda a moving gif xD still very nice videos so far, learned a lot
I have Pycharm so can't run and debug i tried to get visual code but can't make it to install opencv on it don't know why I am new to coding i try a lot of site codeacadamy, pirple but i just can't still learn you somehow manage to explain a little better then others i hope i manage to learn something from you
I use your code: threshold = 0.85 locations = np.where(result >= threshold) print(locations) # the np.where() return value will look like this: # (array([1, 5], dtype=int32), array([1, 15], dtype=int32)) and this is my result: (array([483], dtype=int32), array([514], dtype=int32)) please help me.
