I had been stuck for hours trying to install TensorRT and the lack of clear support from NVIDIA or any forum or Stack Overflow seemed impossible until I came across your video. Thank you so much for this
@@Smi1eM3 That would be very nice. I was able to get amazing results with YOLOv8, however, I am having hard time moving my YOLOv8 model into PyTorch and TensorRT. . Is there anything I could do to help you get these videos ready?
@@luizconrado YoloV8 is still in its early stages and has less support at the moment. Yolov5 with tensorrt will beat base Yolov8 performance until Yolov8 gets support for tensorrt.
Hey I was wondering if you changed your discord was trying to add you but it wasn't coming up? wanted to talk about circumventing detection dual pc vs bluetooth etc
unpickling stack underflow. Cache may be out of date, try `force_reload=True`, this comes up when i put .engine file path in the code its runs alright with .onnx but not with .engine, any fixes?
Do you know anything related to this error? AssertionError: input size torch.Size([1, 3, 416, 736]) not equal to max model size (1, 3, 736, 736). I exported its with img size 736 like my model
i found the step of adding the path to the folder on the desktop kinda weird becuase we placed all the files into cuda folders which are already in the path. edit: thanks for the instructions for the tenssorRT installation . but people like you making cheats for video game are the problem with FPS games today . why not just get good. and use your talents of coding for something else.
At the end is it actually possible to make it a standalone with all the "improvements" included. So even a friend with nothing installed but Arduino can actually run & use this decently at 60fps?
hello sir. i really like this tutorial very much. a small issue im facing here. i followed all the instructions u said. tensorrt is successfully installed in my windows 10 but when i convert .pt to engine format using the same env from which i installed tensorrt. it is showing me that " there is no module called tensorrt ". although i set all the paths in environment variables but still facing this issue. Sir do you have idea with this issue or can you share tips maybe it works for me. i will be really thank full to you
@@Smi1eM3 ok so i connected my accelerator to my pc i converted pytorch to tensorflow lite like my best.pt i set up the accelerator tested it with the method google provided on there website and it worked now i just need to modify the code a little to make it work with the USB accelerator instead of my gpu
Hello Sir, i want to thank you for this amazing Course. I followed through it and everything is working. I just have one problem, when i switch to best.engine it gives me this error( Cache may be out of date, try `force_reload=True`). Is there a way to fix it? Anyways thx again
I had been stuck for hours trying to install TensorRT and the lack of clear support from NVIDIA or any forum or Stack Overflow seemed impossible until I came across your video. Thank you so much for this
No problem.
You just save my mental health, thank you a lot!
Is there any chance you could make a couple more videos showing how to do the same work using YOLO V8 together with PyTorch and TensorRT?
I will see if I have the time.
@@Smi1eM3 That would be very nice. I was able to get amazing results with YOLOv8, however, I am having hard time moving my YOLOv8 model into PyTorch and TensorRT. . Is there anything I could do to help you get these videos ready?
@@luizconrado YoloV8 is still in its early stages and has less support at the moment. Yolov5 with tensorrt will beat base Yolov8 performance until Yolov8 gets support for tensorrt.
Yes please, i hope you can make a video on this
idk how to use my best.engine with YOLOV8
plz help
People who have passed the arduino step, what mouse did you use? My glorious model o- doesn’t work and I can’t find a mouse parser.
recently bought g102 ligtsync for this project, works well for me
use a kmbox
wow wow wow so simple but so hard to understand by myself
thank you so much!!!! THANK YOU !
Hey I was wondering if you changed your discord was trying to add you but it wasn't coming up? wanted to talk about circumventing detection dual pc vs bluetooth etc
can you please make a video on yolov5 with pytroch on TensorRT ? is that possible?
None of the python wheels are working. Do you know what might be the error??
unpickling stack underflow. Cache may be out of date, try `force_reload=True`, this comes up when i put .engine file path in the code its runs alright with .onnx but not with .engine, any fixes?
Did u fix it? I have that now
me too
Do you know anything related to this error? AssertionError: input size torch.Size([1, 3, 416, 736]) not equal to max model size (1, 3, 736, 736). I exported its with img size 736 like my model
export the model in a different size. make it 416,736 look at he other comments.
I have his same issue, any idea please@@Smi1eM3
Did you fix it ? And how ?
i found the step of adding the path to the folder on the desktop kinda weird becuase we placed all the files into cuda folders which are already in the path. edit: thanks for the instructions for the tenssorRT installation . but people like you making cheats for video game are the problem with FPS games today . why not just get good. and use your talents of coding for something else.
Just an educational course 😄
At the end is it actually possible to make it a standalone with all the "improvements" included. So even a friend with nothing installed but Arduino can actually run & use this decently at 60fps?
no
hello sir. i really like this tutorial very much. a small issue im facing here. i followed all the instructions u said. tensorrt is successfully installed in my windows 10 but when i convert .pt to engine format using the same env from which i installed tensorrt. it is showing me that " there is no module called tensorrt ". although i set all the paths in environment variables but still facing this issue.
Sir do you have idea with this issue or can you share tips maybe it works for me. i will be really thank full to you
same error. did you manage to solve it?
Solved it. I was using wrong file as path while copying 10:20 I was installing the wrong file in python folder
where to change the loading model from yolov to tensor?
like how to switch like you did..
@@adityadas1765 Just switch the file path to the tensorrt version
Thank U :)
very interesting .. when i create best.engine file with this method and same config like u .. mine .engine file is 2x bigger then best.pt ???
Yeah it’s generally larger I believe
@@Smi1eM3 but .engine file is smaller then .pt file in your own repo? Bruh
@@rallyworld3417 half precision
What is your hardware?
Laptop 3060 is my gpu
@@Smi1eM3 do you think it's possible to get 40 fps in a gt1030 with a i5 9000k?
@@davia.sampaio8633 No the graphics card is not good enough
when i did this my fps dropped from 50 to 25
what if i only have amd vga ?
hey i will pay u 300 dollars if u can fix mine to word with a coral ai usb accelerator
Are you connecting the accelerator to an external device to run the model or your own computer?
@@Smi1eM3 ok so i connected my accelerator to my pc i converted pytorch to tensorflow lite like my best.pt i set up the accelerator tested it with the method google provided on there website and it worked now i just need to modify the code a little to make it work with the USB accelerator instead of my gpu
@@Smi1eM3so you think u can edit the code for me that it will work with coral ai
Hello Sir, i want to thank you for this amazing Course. I followed through it and everything is working. I just have one problem, when i switch to best.engine it gives me this error( Cache may be out of date, try `force_reload=True`). Is there a way to fix it? Anyways thx again
me too
8:15