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Customize YOLOv8 Object Detection training with MLTU 

Python Lessons
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30 окт 2024

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Комментарии : 8   
@vicbits
@vicbits 5 месяцев назад
Awesome video yet again. I wish I was a lot better at this machine learning code. Still hard to keep up for me but I am all learning a lot from your videos. Thank you. Cant wait for the trading robot also to be pushed to max performance. 🚀
@wh4u67
@wh4u67 4 месяца назад
When will you continue with Finrock?
@PyLessons
@PyLessons 3 месяца назад
Hard to tell, FinRock is time consuming project and at the moment I can't afford to work on it
@vicbits
@vicbits 3 месяца назад
​@@PyLessonshave you tried running it on live data from my update? For me after training I kept getting the same results. Perhaps I did not train enough. I will try again this week and post my update.
@ollierajaratnam9618
@ollierajaratnam9618 5 месяцев назад
Thank you for making these tutorials, they are amazing! I am trying to make a text detection model for full screen screenshots, I have started to adapt the object detection model on a different dataset (TextOCR - Text Extraction from Images Dataset) but am struggling to adapt the model for the different directory structure, are there some packages in the mltu library that would help read in this dataset?
@PyLessons
@PyLessons 5 месяцев назад
You are welcome. May you open an issue on GitHub, I will help to create a loader for this dataset. Give me a link to this dataset also please so I could get some examples
@ollierajaratnam9618
@ollierajaratnam9618 5 месяцев назад
@@PyLessons Thank you, I managed to adapt the code for the new dataset, but for some reason the training stopped at one epoch
@shadowfear36
@shadowfear36 Месяц назад
For TextOCR, I recommend Donut OCR, the pipeline isn’t as prolific as Ultralytics but it’s still very doable.
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