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- 如何看待YOLOv8，YOLOv5作者开源新作，它来了！? - 知乎
此外YOLOv5、YOLOv6、YOLOv7和YOLOv8在评估和部署过程中使用了不同的后处理配置，因而可能造成评估结果虚高，而这些模型在PaddleYOLO中实现了统一，保证实际部署效果和模型评估指标的一致性，并对这几类模型的代码进行了重构，统一了代码风格，提高了代码易读性。
- yolov8出了，还在用yolov5做实验，需要改模型吗？ - 知乎
yolov8出了，还在用yolov5做实验，需要改模型吗？ 好担心，焦虑 。 目前研二，之前的实验都是基于v5的。 我也没啥大梦想，只想安安静静毕业，学术能力很垃圾。 老师不太管我们的学术，但好怕毕业时被答辩组骂、卡… 显示全部 关注者 99
- Yolo incompatible with Jetpack 6. 2 (Jetson Orin Nano Super)
Hi, You could refer to this doc to install torch 2 5 and torchvision 0 20 0 Thanks
- Running Yolov5 on Deepstream with USB Camera - NVIDIA Developer Forums
Hi I’m using deepstream 6 0 to run the Tolov5 model like this repo on GitHub (DeepStream-Yolo) when I run this command: deepstream-app -c deepstream_app_config txt model runs entirely but on the sample video in deepstreame video samples I want to use USB Camera (Logitech C615) I don’t have an IP Camera and… the device address is: dev video1 here Is my config file: [application
- Running Yolov5 on Jetson Nano - NVIDIA Developer Forums
I’m trying to setup Yolov5 on my Jetson Nano and I am having a difficult time getting all of the packages installed My issues seems to be on what version of python the dependencies rely on It seems like Yolov5 only works with python>=3 7 I have installed python 3 8 and 3 11 from the JetsonHackNano Git to get around this Next big problem is getting PyTorch installed I’ve gone through
- How to operate CSI MIPI camera with YOLOv5 on Jetson Nano
I tried many ways to get csi camera working on yolov5 but failed Many people say that you can operate it using simple_camera py in github csi-camera, but I am wondering where should I insert that code in Yolov5’s detect py code
- How to install YoloV5 on Jetson AGX Orin - NVIDIA Developer Forums
Since I have been struggling a bit trying to install YoloV5 on Jetson AGX Orin I want to share my procedure 1: Install Jetpack and Flash the Orin using a Linux computer connected to the Jetson Orin via USB-C cable to the back interface
- Green Screen issue on Nvidia Jetson Nano and Arducam IMX219 - YOLOv5
I managed to source Arducam IMX 219 on Jetson Nano 4GB Unfortunately, the detect py file in YOLOv5 runs for a split second and terminates thereafter Here is the command I used, to run the detect py script: python3 detect py --source 0 --weights best pt I changed the frames-per-second in the detection file to a value that corresponds to the FPS of the camera However, I am getting a green
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