Freaks City

Model Complexity Reduction Model complexity directly impacts inference latancy. Overly intricate architectures with excessive parameters demand more computational resources. To address this, simplify layer counts and neuron densities. import torch import torch.nn as nn # Original dense model class OriginalNet(nn.Module): def __init__(self) ...

Environment Setup Target Device Configuration Refer to previous documentation regarding ITX-3588J development board setup. This guide assumes usage of rknn-toolkit2-lite version 2.0 with updated board drivers and toolkit. Host Development Environment The PC-side toolkit has compatibility limitations with Windows systems. Ubuntu-based environmen ...

Deploying a custom object detector on edge NPU hardware invovles training, quantization, and compilation. This guide walks through the entire pipeline using a YOLOv8s model trained on handwritten digits. Training the Custom YOLOv8s Model Preparing the Custom Dataset The dataset structure can be organized in any way; the following layout worked ...

In this guide, we will build a cuisine recommendation web application that runs a machine learning model directly in the browser. Instead of using a backend server, we will leverage ONNX Web to let users interact with the model through a simple frontend interface. Cuisine Recommendation Web Application This project focuses on the machine learni ...