Fading Coder

One Final Commit for the Last Sprint

Integrating EfficientViT as a Lightweight Backbone in YOLOv5

EfficientViT is a family of high-speed vision transformers that trade modest accuracy loss for dramatic reductions in memory traffic and latency. The key insight is that most of the runtime in ViTs is spant on reshaping tensors and element-wise operations inside Multi-Head Self-Attention (MHSA), not...

Configuring HHB Compilation Environment for YOLOv5n on LicheePi 4A

Setting Up the Development Environment WSL2 Configuration Enable virtualization in Windows settings and install WSL2: wsl --update wsl --set-default-version 2 wsl --list --verbose Ubuntu Installation Install Ubuntu 20.04 from the Microsoft Store and configure the WSL environment. Visual Studio Code...

Visualizing Positive Sample Selection in YOLOv5

Understanding the process of positive sample selection is crucial for YOLOv5. This guide demonstrates how to visualize these selected samples across different scales to gain deeper insight into the underlying mechanism. Visual Outputs When visualized, the positive sample selection process reveals se...

Deploying YOLOv5-6.0 on Jetson Nano

Deploying YOLOv5-6.0 on Jetson Nano
1. Format SD Card and Flash Image 2. Download PyTorch and Torchvision Packages Download the appropriate versions of PyTorch and Torchvision for your system from the officila PyTorch website. 3. Set Up Remote Access with MobaXterm Use MobaXterm for remote control and file transfer to the Jetson Nano....