Dear Friend @duniyadari911 *Thank you very much* 🙏 for your interest in our channel. Glad to know that you found our content helpful. If you still have any issues/suggestions about this Tutorial, or any of our DIY project, feel free to ping us on WhatsApp/Telegram (Links given below) for further support. Tech support - (𝗖𝗵𝗮𝘁 𝗢𝗻𝗹𝘆) Telegram/WhatsApp - 11:00 AM - 05:00 PM (Mon-Fri) IST 🚀 𝗧𝗲𝗹𝗲𝗴𝗿𝗮𝗺 🔗 t.me/make2explore 💬 𝗪𝗵𝗮𝘁𝘀𝗔𝗽𝗽 🔗 bit.ly/3VXGGEe 📩 info@make2explore.com / support@make2explore.com As per time permits we will try our best to help you out. Best Regards 🙏
@juliermearaujo2 ай бұрын
An even more complex challenge will be when it is necessary to use Pythorch with interaction with CUDA, to execute YOLO V5n or V8n neural architectures on the Nvidia Jetson nano 2GB. I spent 3 days compiling Pythorch on the Jetson Nano and it failed. I am about to start a new approach, using a Docker image to create a container equipped with all the necessary environment (compatible with the J. Nano 2GB), with CUDA, Opencv, Pythorch and Utralytics, with the objective of executing YOLO neural architectures. Have you ever experienced a problem like this?
@make2explore2 ай бұрын
Dear Julierme Silva @juliermearaujo *Thank you very much* 🙏 for your interest in our channel. *_Q_* - _An even more complex challenge will be when it is necessary to use Pythorch with interaction with CUDA, to execute YOLO V5n or V8n neural architectures on the Nvidia Jetson nano 2GB...._ ➡️ Yes!, you are absolutely right. We have also encountered similar challenges in the past. We initially decided to create tutorials about YOLOV5-V9 installation on Jetson Nano. But soon we figured out that there are dependencies, like OpenCV with CUDA support, Pytorch and TorchVision etc. We also tried running YoloV5 with TensorRT Engine on Jetson. But satisfactory results were not obtained. Therefore we decided to go with straightforward approach, and hence now we are first creating series of pre-requisites tutorials before going onto actual topic. These videos are part of that series. ➡️ It’s a great idea to use Docker for complex setups like YOLO on a Jetson Nano 2GB! We haven’t tried that exact configuration yet, but it's a smart approach. It sounds like you're on the right track with Docker; it's definitely a popular method to manage complex environments like this. ➡️ In our upcoming videos, we have also planned to use docker, (l4t-base container) and similar approach like yours. We'd love to hear your experience.❤️🙏 If you still have any issues/suggestions about this Tutorial, or any of our DIY project, feel free to ping us on WhatsApp/Telegram (Links given below) for further support. Tech support - (𝗖𝗵𝗮𝘁 𝗢𝗻𝗹𝘆) Telegram/WhatsApp - 11:00 AM - 05:00 PM (Mon-Fri) IST 🚀 𝗧𝗲𝗹𝗲𝗴𝗿𝗮𝗺 🔗 t.me/make2explore 💬 𝗪𝗵𝗮𝘁𝘀𝗔𝗽𝗽 🔗 bit.ly/3VXGGEe 📩 info@make2explore.com / support@make2explore.com As per time permits we will try our best to help you out. Best Regards 🙏