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Hola Felipe, me he encontrado con tu canal estos días y me parece de lo mejorcito. Haciendo una prueba me surge un problema con los reflejos de las luces que me causa problemas al clasificar las imagenes. Cuál es la mejor forma de solucionar esto? Muchas gracias por estos vídeos !
Hi, I am having issues with the weather_dataset project. I am using Windows10 and VSCode and using 'yolo11n.pt'. I cannot run the code for the project and I am getting a Permission denied error [Errno 13]. I have tried setting permissions for the folders e.t.c but I am still getting the error. Thanks.
I have a question regarding yolov8, you did not provide any test set. and for final evaluation, runs/train folder's confusion matrix should I use? I mean confusion matrix, mAP, precision, recall , how can I calculate ? and on which data? Please make me clear.
Thanks for the tutorial! In X-Ray tutorial if we increase an image size from 224x224 to 448x448 for example, will it increase the accuracy of the model?
Hi! Always thank's for your great video :) But I can't find scikit learn dataset in your github repositories as opposed to yolo8 dataset. Can you please update your readme file?
@@ComputerVisionEngineer thanks. The dataset for empty/full car park was not available. So, I tested the code with car and dog dataset. It was working quite good. However, there is a mem bandwidth issue and I am not capable of processing thousands of images on my system. Can we do this using batching? If yes, is it done by a predefined func? Thanks.
A good way to start learning computer vision is taking a course on OpenCV with Python. This is the link to my course: th-cam.com/video/eDIj5LuIL4A/w-d-xo.html
Hi, I just checked, all the data related to the parking spot detector and counter video is in the repository github.com/computervisioneng/parking-space-counter
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● End-To-End Computer Vision: Build and Deploy a Video Summarization API bit.ly/3tyQX0M
● Computer Vision on Edge: Real Time Number Plate Recognition on an Edge Device bit.ly/4dYodA7
● Machine Learning Entrepreneur: How to start your entrepreneurial journey as a freelancer and content creator bit.ly/4bFLeaC
Learn to create AI-based prototypes in the Computer Vision School! www.computervision.school 😃🚀🎓
do you have these images available to download somewhere?
Thank you a lot! You really are helping me. Nowadays I am learning computer vision from you! Thanks a bunch!
underrated utuber
Your roadmaps are the most helpful thing ever !!!
Glad the content is helpful! 😃🙌
agree, he's a legend
Man ur so underrated thank you so much !!!!
You are welcome!! 😃🙌
Hola Felipe, me he encontrado con tu canal estos días y me parece de lo mejorcito. Haciendo una prueba me surge un problema con los reflejos de las luces que me causa problemas al clasificar las imagenes. Cuál es la mejor forma de solucionar esto?
Muchas gracias por estos vídeos !
can you please provide the parking lot dataset? it's not on github :(
Yes please. That would be really helpful @ComputerVisionEngineer
Really good job, thanks for the course.
Thank you! Glad you enjoyed it! 😃🙌
Hi, I am having issues with the weather_dataset project.
I am using Windows10 and VSCode and using 'yolo11n.pt'.
I cannot run the code for the project and I am getting a Permission denied error [Errno 13].
I have tried setting permissions for the folders e.t.c but I am still getting the error.
Thanks.
I have a question regarding yolov8, you did not provide any test set. and for final evaluation, runs/train folder's confusion matrix should I use? I mean confusion matrix, mAP, precision, recall , how can I calculate ? and on which data? Please make me clear.
Thanks for the tutorial! In X-Ray tutorial if we increase an image size from 224x224 to 448x448 for example, will it increase the accuracy of the model?
Increasing the image resolution may help to train a more accurate model.
Hi! Always thank's for your great video :)
But I can't find scikit learn dataset in your github repositories as opposed to yolo8 dataset.
Can you please update your readme file?
Nice job keep going ❤
Thank you!! 😃
Thanks for this nice tutorial. Is it possible to access to the used datasets?
You are welcome! The used datasets are usually available in each project's github repository. 🙌
@@ComputerVisionEngineer thanks. The dataset for empty/full car park was not available. So, I tested the code with car and dog dataset. It was working quite good. However, there is a mem bandwidth issue and I am not capable of processing thousands of images on my system. Can we do this using batching? If yes, is it done by a predefined func? Thanks.
In parking classifier I use the same code as you but I am getting 100% accuracy, is that a problem, I thought I was supposed to get acc < 100%
Great job! can you make a video upscale image resolution
An upscale image resolution app is a very good idea for a future tutorial, I will try to! 🙌
Nice!!!
😃🙌 Glad you enjoyed it!
what you think about yolo-nas ? why you dont use it ? thanks for the content
I haven't had the opportunity to try yolo nas extensively. I will use yolo nas in a future video and share my thoughts about it. 🙌
@@ComputerVisionEngineer Thanks, you are the best!
good jobe thnx
Thank you! 🙌
Where should beginner start for computer vision
A good way to start learning computer vision is taking a course on OpenCV with Python. This is the link to my course: th-cam.com/video/eDIj5LuIL4A/w-d-xo.html
Can you please, inform where you get this dataset?
Datasets are linked in the github repositories.
Thanks@@ComputerVisionEngineer
I looked at the github and couldn't find the dataset (the first project). Can you give me the datasets please? @@ComputerVisionEngineer
@@ComputerVisionEngineer There is no link for the datasets
unfortunately the dataset for parking detector is not available on github
Hi, I just checked, all the data related to the parking spot detector and counter video is in the repository github.com/computervisioneng/parking-space-counter
🎉🎉🎉🎉🎉
😃🥳
Zoom in the screen can't see 😢
Oh thank you for your feedback, what minute are your referring to?