HOME
Shop
  • English
  • 简体中文
HOME
Shop
  • English
  • 简体中文
  • Product Series

    • FPGA+ARM

      • GM-3568JHF

        • Introduction

          • GM-3568JHF Introduction
        • Quick Start

          • Preface
          • Environment Setup
          • Compilation Notes
          • Flashing Guide
          • Debugging Tools
          • Software Update
          • Viewing System Information
          • Test Commands
          • Application Compilation
          • Source Code Access
        • Peripherals & Interfaces

          • USB
          • Display and Touch
          • Ethernet
          • WIFI
          • Bluetooth
          • TF-Card
          • Audio
          • Serial Port
          • CAN
          • RTC
        • Application Development

          • UART Read/Write Demo
          • Key Detection Demo
          • LED Blink Demo
          • MIPI Screen Detection Demo
          • Read USB Device Information Demo
          • FAN Detection Demo
          • FPGA FSPI Communication Demo
          • FPGA DMA Read/Write Demo
          • GPS Debugging Demo
          • Ethernet Test Demo
          • RS485 Read/Write Demo
          • FPGA I2C Read/Write Demo
          • PN532 NFC Card-Reading Demo
          • TF Card Read/Write Demo
        • QT Development

          • ARM64 Cross-Compiler Environment Setup
          • Adding a QT Program to Boot Auto-Start
        • RKNN_NPU Development

          • RK3568 NPU Overview
          • Development Environment Setup
          • Run the Official YOLOv5 Example
        • FPGA Development

          • ARM and FPGA Communication
          • FPGA Development Manual
        • Others

          • Modifying the Root Filesystem
          • System Auto-Start Services
        • Downloads

          • Downloads
      • MB-E30P

        • Introduction

          • MB-E30P Introduction
        • Quick Start

          • Preface
          • Environment Setup
          • Compilation Instructions
          • Flashing Guide
          • Debugging Tools
          • Software Update
          • Viewing Information
          • Test Commands
          • Application Compilation
          • Source Code Acquisition
        • Peripherals & Interfaces

          • USB
          • Display and Touch
          • Ethernet
          • WIFI
          • Bluetooth
          • TF-Card
          • Audio
          • RTC
        • Application Development

          • Key Detection Demo
          • LED Blink Demo
          • MIPI Screen Detection Demo
          • Read USB Device Information Demo
          • FAN Detection Demo
          • FPGA FSPI Communication Demo
          • FPGA DMA Read/Write Demo
          • Ethernet Test Demo
          • FPGA IIC Read/Write Demo
          • PN532 NFC Card Reading Demo
          • TF Card Read/Write Demo
        • QT Development

          • ARM64 Cross-Compiler Environment Setup
          • Adding a QT Program to the Boot Auto-Start Service
        • RKNN_NPU Development

          • RK3568 NPU Overview
          • Development Environment Setup
          • Run the Official YOLOv5 Example
          • Model Conversion In Detail
          • Run Custom Models on the Board
        • FPGA Development

          • ARM and FPGA Communication
          • FPGA Development Manual
        • Others

          • Modifying the Root Filesystem
          • System Auto-Start Service
        • Downloads

          • Downloads
    • ShimetaPi

      • M4-R1

        • Introduction

          • M4-R1 Introduction
        • Quick Start

          • OpenHarmony Overview
          • Image Burning
          • Application Development Quick Start
          • Device Development Quick Start
        • Application Development

          • ArkUI

            • ArkTS Language Overview
            • UI Components - Row Container Introduction
            • UI Components - Column Container Introduction
            • UI Components - Text Component
            • UI Components - Toggle Component
            • UI Components - Slider Component
            • UI Components - Animation Component & Transition Component
          • Documentation

            • OpenHarmony Official Materials
          • Development Notes

            • Full-SDK Replacement Tutorial
            • Introducing and Using Third-Party Libraries
            • HDC Debugging
            • Restore Factory Mode via Command Line
            • Upgrade App to System Permission
          • First App

            • Build Your First ArkTS Application - HelloWorld
          • Demos

            • Serial-Debug-Assistant Application Demo
            • Writing-Board Application Demo
            • Digital Clock Application Demo
            • Wi-Fi Information Acquisition Application Demo
        • Device Development

          • Ubuntu Development

            • Environment Setup
            • Download Source Code
            • Compile Source Code
          • DevEco Device Tool

            • Tool Introduction
            • Development Environment Construction
            • Import the SDK
            • HUAWEI DevEco Tool Function Introduction
        • Kernel Peripherals & Interfaces

          • Guide
          • Device Tree Introduction
          • NAPI Introduction
          • ArkTS Introduction
          • NAPI Development Hands-on Demo
          • GPIO Introduction
          • I2C Communication
          • SPI Communication
          • PWM Control
          • UART Communication
          • TF Card (MicroSD)
          • Screen (Display)
          • Touch
          • Ethernet
          • M.2 SSD
          • Audio
          • WIFI & BT
          • Camera
        • Downloads

          • Downloads
      • M5-R1

        • Introduction

          • M5-R1 Development Docs
        • Quick Start

          • Image Burning
          • Environment Setup
          • Download Source Code
        • Peripherals & Interfaces

          • Raspberry Pi Interfaces
          • GPIO Interface
          • I2C Interface
          • SPI Communication
          • PWM Control
          • Serial Port Communication
          • TF Card
          • Display
          • Touch
          • Audio
          • RTC
          • Ethernet
          • M.2
          • MINI-PCIE
          • Camera
          • WIFI & BT
        • Downloads

          • Downloads
      • Pico-G1

        • Product Overview

          • Product Introduction
          • SDK Version Information
        • Quick Start

          • Development Environment Setup
          • Image Build
          • Image Flashing
          • System Login
          • Network Configuration
          • File Transfer
          • SDK Directory Structure
          • Deploying Your First Application
          • Deploying Your First Driver
          • Mounting an SD Card
        • Peripherals & Interfaces

          • GPIO Control
          • UART Serial Communication
          • I2C Communication
          • SPI Communication
        • MPP Media Development

          • MPP Media Processing Software
          • Image Processing Chain
          • Video Input
          • Image Encoding
        • NPU & AI

          • NPU Driver and Runtime Library Architecture
          • .xmm Model Loading
          • SVP Video Processing
          • AI Noise Reduction (AI_NR)
        • Application Samples

          • Encryption/Decryption Application
          • ADC Acquisition Application
          • Low-Power Application
          • Audio Processing Application
          • Video Encoding Application
          • Video Input Application
          • Video Graphics Subsystem (VGS) Application
          • 08 Region Overlay Application
          • 09 Intelligent Video Engine Application
          • 10 UVC Webcam Application
          • 11 All-in-One Quickstart Application
          • 12 FPN Correction Application
          • 13 Regional Motion Detection Application
          • 14 MTCNN Face Detection Application
        • Expansion Board Peripheral Examples

          • 00 - Pico Expansion Board Peripheral Examples Overview
          • 01 - OLED Display Application
          • 02 - TFT Display Application
          • 03 - MPU6050 Gyroscope Application
          • 04 - ADC Acquisition Application
          • 05 - Passive Buzzer Application
          • 06 - MQ Gas Sensor Application
          • 07 - GPS Positioning Application
          • 08 - SHT20 Temperature & Humidity Application
          • 09 - Ultrasonic Ranging Application
          • 10 - SpO2 Sensor Application
          • 11 - DC Motor Control Application
          • 12 - Servo Control Application
    • OpenHarmony

      • SC-3568HA

        • Introduction

          • SC-3568HA Overview
        • Quick Start Guide

          • OpenHarmony Overview
          • Image Flashing
          • Setting Up the Development Environment
          • Hello World Application and Deployment
        • Application Development

          • ArkUI

            • Introduction to ArkTS Language
            • Introduction to UI Components and Practical Applications (Part 1)
            • Introduction to UI Components and Practical Applications (Part 2)
            • Introduction to UI Components and Practical Applications (Part 3)
          • Expand

            • Getting Started Guide
            • Referencing and Using Third-Party Libraries
            • Application Compilation and Deployment
            • Command-Line Factory Reset
            • System Debugging -- HDC Debugging
            • APP Stability Testing
            • Chapter 7 Application Testing
        • Device Development

          • Environment Setup
          • Download Source Code
          • Compiling Source Code
        • Peripheral And Interface

          • Raspberry Pi interface
          • GPIO Interface
          • I2C Interface
          • SPI communication
          • PWM (Pulse Width Modulation) control
          • Serial port communication
          • TF Card
          • Display Screen
          • Touch
          • Audio
          • RTC
          • Ethernet
          • M.2
          • MINI-PCIE
          • Camera
          • WIFI&BT
          • Raspberry Pi expansion board
        • Downloads

          • Downloads
      • M-K1HSE

        • Introduction

          • M-K1HSE Introduction
        • Quick Start

          • Development environment construction
          • Source code acquisition
          • Compilation Notes
          • Burning Guide
        • Application Development

          • Application Development Environment Setup
          • First Application - Hello World
        • Peripherals and interfaces

          • 01 Audio
          • 02 RS485
          • 03 Display
        • System customization development

          • System transplant
          • System customization
          • Driver Development
          • System Debugging
          • OTA Update
        • Downloads

          • Downloads
    • HVS Camera

      • Quick Start

        • SDK Overview
        • Downloads
        • Your First C++ Program
        • Python Data Analysis
        • MultiVision Studio
      • Development

        • Programming Guides

          • Open Camera
          • Read Events
          • Recording & Replay
          • Event Processing (Denoising)
          • Display & Visualization
          • Tuning
          • Capture APS Image
        • Toolkit SDK

          • Hybrid Vision Toolkit
          • Quick Start
          • C++ API
          • Python API
        • Algorithm

          • Hybrid Vision Algo
          • Hybrid Vision Algo API
          • Windows Algo SDK
        • Samples Overview
        • Applications
      • Fundamentals

        • Event Camera Fundamentals
        • HVS Hybrid Vision
        • Event Visualization
        • Data Formats Reference
        • Glossary
        • Bias & Tuning
        • Video Tutorials
      • USB Cameras

        • HVS Camera Quick Start
        • Networking Capabilities

          • HVS Camera System Architecture
          • EVS Network Server
          • EVS Time Sync
          • Web Window
        • HVS Camera Compatibility Matrix
        • FAQ & Troubleshooting Guide
        • Products

          • CF-NRS1 (Lingguang No.1 Hybrid Vision Camera)
      • MIPI Modules

        • MIPI Module Quick Start
        • Carrier Boards

          • RDK X5 Carrier Board Adaptation
          • Raspberry Pi Carrier Board Adaptation
          • Digua Pi Carrier Board Adaptation
          • ShimeTai Board Carrier Board Adaptation
        • MIPI Module Compatibility Matrix
        • Products

          • EVS_003 Sensor Module
    • AI-model

      • 1684XB-32T

        • Introduction

          • AIBOX-1684XB-32 Introduction
        • Quick Start

          • First Use
          • Network Configuration
          • Disk Usage
          • Memory Allocation
          • Fan Control Strategy
          • Firmware Upgrade
          • Cross Compilation
          • Model Quantization
        • Application Development

          • Development Overview

            • Sophgo SDK Development
            • Sophgo Demo Introduction
          • Large Language Models

            • Deploying Llama3 Example
            • Sophon LLM_api_server Development
            • Deploying MiniCPM-V-2_6
            • Qwen-2-5-VL Image and Video Recognition Demo
            • Qwen3-chat Demo
            • Qwen3-Qwen Agent-MCP Development
            • Qwen3-langchain-AI Agent
          • Deep Learning

            • ResNet (Image Classification)
            • LPRNet (License Plate Recognition)
            • SAM (General Image Segmentation Foundation Model)
            • YOLOv5 (Object Detection)
            • OpenPose (Human Keypoint Detection)
            • PP-OCR (Optical Character Recognition)
        • Downloads

          • Downloads
      • 1684X-416T

        • Introduction

          • AIBOX-1684X-416 Introduction
        • Demo Quick Guide

          • ShimeTai Intelligent Monitoring Demo Quick Usage Guide
      • RDK-X5

        • Introduction

          • RDK-X5 Hardware Introduction
        • Quick Start

          • RDK-X5 Quick Start
        • Application Development

          • AI Online Model Development

            • Experiment 01 - Access Volcengine Doubao AI
            • Experiment 02 - Image Analysis
            • Experiment 03 - Multimodal Visual Analysis & Localization
            • Experiment 04 - Multimodal Image-Text Comparison
            • Experiment 05 - Multimodal Document/Table Analysis
            • Experiment 06 - Camera-based AI Visual Analysis
          • Large Language Models

            • Experiment 01 - Speech Recognition
            • Experiment 02 - Voice Conversation
            • Experiment 03 - Multimodal Image Analysis - Voice
            • Experiment 04 - Multimodal Image Comparison - Voice
            • Experiment 05 - Multimodal Document Analysis - Voice
            • Experiment 06 - Multimodal Vision Application - Voice
          • ROS2 Basics

            • Experiment 01 - Environment Setup
            • Experiment 02 - Create & Build a Workspace Package
            • Experiment 03 - Run ROS2 Topic Communication Node
            • Experiment 04 - ROS2 Camera Application
          • 40-pin IO Development

            • Experiment 01 - GPIO Output (LED Blink)
            • Experiment 02 - GPIO Input
            • Experiment 03 - Button-controlled LED
            • Experiment 04 - PWM Output
            • Experiment 05 - Serial Output
            • Experiment 06 - I2C Experiment
            • Experiment 07 - SPI Experiment
          • USB Module Usage

            • Experiment 01 - USB Voice Module Usage
            • Experiment 02 - Sound Source Localization Module
          • Machine Vision Practice

            • Experiment 01 - Open USB Camera
            • Experiment 02 - Color Recognition
            • Experiment 03 - Gesture Recognition
            • Experiment 04 - YOLOv5 Object Detection
      • RDK-S100

        • Introduction

          • RDK-S100 Hardware Introduction
        • Quick Start

          • RDK-S100 Quick Start
        • Application Development

          • AI Online Model Development

            • Experiment 01 - Access Volcengine Doubao AI
            • Experiment 02 - Image Analysis
            • Experiment 03 - Multimodal Visual Analysis & Localization
            • Experiment 04 - Multimodal Image-Text Comparison
            • Experiment 05 - Multimodal Document/Table Analysis
            • Experiment 06 - Camera-based AI Visual Analysis
          • Large Language Models

            • Experiment 01 - Speech Recognition
            • Experiment 02 - Voice Conversation
            • Experiment 03 - Multimodal Image Analysis - Voice
            • Experiment 04 - Multimodal Image Comparison - Voice
            • Experiment 05 - Multimodal Document Analysis - Voice
            • Experiment 06 - Multimodal Vision Application - Voice
          • ROS2 Basics

            • Experiment 01 - Environment Setup
            • Experiment 02 - Create & Build a Workspace Package
            • Experiment 03 - Run ROS2 Topic Communication Node
            • Experiment 04 - ROS2 Camera Application
          • 40-pin IO Development

            • Experiment 01 - GPIO Output (LED Blink)
            • Experiment 02 - GPIO Input
            • Experiment 03 - Button-controlled LED
            • Experiment 04 - PWM Output
            • Experiment 05 - Serial Output
            • Experiment 06 - I2C Experiment
            • Experiment 07 - SPI Experiment
          • USB Module Usage

            • Experiment 01 - USB Voice Module Usage
            • Experiment 02 - Sound Source Localization Module
          • Machine Vision Practice

            • Experiment 01 - Open USB Camera
            • Experiment 02 - Image Processing Basics
            • Experiment 03 - Object Detection
            • Experiment 04 - Image Segmentation
      • RK1828

        • Introduction

          • M5-182X-A1 AI Edge Box - Product Introduction
          • M5-182X-A1 Hardware Specifications
          • M5-182X-A1 Usage & Safety
        • Quick Start

          • M5-182X-A1 Image Flashing
          • RK182X Hardware Installation & Verification
          • RK182X Development Environment Quick Setup
          • RK182X SDK Overview
          • RK182X Environment Setup in Detail
          • RK182X Quick Start
          • Vendor SDK Data Extraction Record
        • Development Guide

          • ClawChips Architecture and Principles
          • SKILL User Manual
          • RK182X Series LLM Inference (RK1828 Model)
          • RK182X Series CNN Inference (RK1828 Model)
          • Model Conversion
          • RK182X AI Agent Application Development Guide
          • RK182X Industrial Anomaly Detection Application
        • SDK Reference

          • RKNN3-SDK Overview

            • RKNN3 SDK Overview
          • RKNN3-Toolkit

            • RKNN3 Toolkit Installation and Usage
          • RKLLM

            • RKLLM On-Device LLM Inference
          • RK182X Series NPU Overview and Architecture (RK1828 Model)
          • RK182X INT8 Quantized Inference Deployment
          • RK182X MPP Multimedia Framework
          • MPP Details

            • RK182X Video Decoding
            • RK182X Video Encoding
          • NPU Details

            • RKNN Model Conversion
            • RK182X NPU INT8 Quantized Inference
            • RK182X Multi-Model Parallel Inference
          • RGA Details

            • RK182X RGA 2D Graphics Acceleration
          • VPU Details

            • RK182X VPU Codec
        • Hardware Reference

          • RK182X Series Hardware Architecture Overview (RK1828 Model)
          • RK182X Pin Definitions and Multiplexing Configuration
          • RK182X Pin Definitions
          • RK182X Power Management
          • RK182X Clock and PLL Configuration
          • RK182X Clock and Frequency Configuration
        • Tutorials

          • Hello World
          • Hello RK1828 - The First Program
          • RTSP Streaming
          • RTSP Streaming + AI Analysis
          • ShiMetaPi AI Lobster One-Click Deployment
          • PaddleOCR-VL Text Recognition
          • Qwen3-1.7B LLM Text Chat
          • AI Multi-View Inspection (Qwen3-VL Wrapper)
          • YOLOv5 Object Detection
        • Downloads

          • Downloads
        • FAQ

          • FAQ
    • Core-Board

      • C-3568BQ

        • Introduction

          • C-3568BQ Overview
      • C-3588LQ

        • Introduction

          • C-3588LQ Overview
      • GC-3568JBAF

        • Introduction

          • GC-3568JBAF Overview
      • C-K1BA

        • Introduction

          • C-K1BA Overview
    • Software Platform

      • ShiMetaPi Workbench

        • Introduction

          • Product Overview
          • Core Architecture
          • Feature Entries
          • Supported Hardware
          • Release Notes
        • Quick Start

          • Install & Login
          • Connect the Device
          • Set Up the Environment
          • Connect to AIHub
          • First Inference
        • User Guide

          • Workspace Overview
          • Device Manager
          • Model Market
          • One-Click Deploy
          • Vision — SVP
          • Vision - Custom Models
          • shimeta-py IDE
          • Terminal
          • Agent Debug Assistant
          • Settings and Resources
        • FAQ

          • Installation & Login
          • Device Connection
          • Models & Deployment
          • Vision & Runtime
          • Settings & Other
      • ShimetaPi Repository

        • Introduction

          • ShimetaPi Software Repository
        • Pico G1 (GK7206)

          • Quick Start

            • Installation & First Inference
            • shimeta_infer — Image Inference
            • shimeta_camera — Real-time Camera Inference
            • SVP Scene Detection
            • File Transfer & Built-in Model Reference
            • FAQ
          • HTTP API & Python SDK

            • HTTP API Reference
      • Model Fine-tuning Platform

        • Introduction

          • Model Training Platform
        • Quick Start

          • Register & Login
          • Create Your First Model (30-Minute Quick Experience)
        • Training Guide

          • Data Preparation & Annotation
          • Training Parameter Configuration
          • Start & Monitor Training
          • Model Evaluation & Testing
        • Model Deployment

          • Export Model
          • Deploy to Edge Device

Quick Start

This guide goes with the Hybrid Vision Toolkit — after reading the introduction, the commands below get minimal capture running in 5 minutes.

Clone the SDK repository

All commands below run from the repository root. If you haven't cloned it yet:

git clone https://gitee.com/ShiMetaPi_0/shimetapi_hybrid_vision_toolkit.git   # recommended for mainland China
# or (overseas) git clone https://github.com/ShiMetaPi/shimetapi_hybrid_vision_toolkit.git
cd shimetapi_hybrid_vision_toolkit

The repository is distributed as prebuilt .so libraries; run.sh is the build entry point.

System requirements

  • C++ standard: C++17 or later
  • CMake: 3.16+
  • OS: Linux (x86_64 host + ARM64 boards)
  • Dependencies: libusb-1.0 (USB), aarch64 toolchain (S100/X5 cross-compiling), OpenCV (optional)

Build

run.sh wraps cmake configuration + compilation and handles toolchain / sysroot / platform options automatically (you can also run cmake -B out/<arch>/build -S . directly).

x86_64 (USB)

sudo apt-get install build-essential cmake libusb-1.0-0 libopencv-dev
./run.sh build        # on an x86_64 host the default target is x86_64

Verify the artifacts:

ls out/x86_64/build/libshimetapi_*.so                              # the 4 auto-bundled libraries
ls out/x86_64/build/samples/cpp/get_started/hv_sample_get_started  # sample executable

S100 (MIPI / cross-compile)

# Prerequisites: aarch64 toolchain + S100 sysroot
sudo apt-get install g++-aarch64-linux-gnu
git clone -b s100_v4.0.5 --single-branch https://gitee.com/ShiMetaPi_0/evs_device_vendor_sdk.git
# or (overseas) git clone -b s100_v4.0.5 --single-branch https://github.com/ShiMetaPi/evs_device_vendor_sdk.git
export S100_SYSROOT=$PWD/evs_device_vendor_sdk/source/hobot-multimedia/debian/usr

./run.sh build s100   # toolchain file injected automatically
file out/s100/build/samples/cpp/get_started/hv_sample_get_started  # should be ELF aarch64

X5 (MIPI / cross-compile)

# Prerequisites: aarch64 toolchain (same as S100) + X5 SDK source tree
# Shares the same evs_device_vendor_sdk repository as S100, but on the x5_v3.4.1 branch
sudo apt-get install g++-aarch64-linux-gnu
git clone -b x5_v3.4.1 --single-branch https://gitee.com/ShiMetaPi_0/evs_device_vendor_sdk.git
# or (overseas) git clone -b x5_v3.4.1 --single-branch https://github.com/ShiMetaPi/evs_device_vendor_sdk.git

./run.sh build x5
file out/x5/build/samples/cpp/get_started/hv_sample_get_started    # should be ELF aarch64

OpenCV-dependent samples when cross-compiling

When cross-compiling for S100 / X5, player / live_record_display use the repository-bundled third_party/aarch64_opencv, so all 7 samples build.

List supported platforms

./run.sh --list
# ARCH    STATUS        PREBUILT LIBS
# x86_64  ready         .../lib/x86_64
# s100    ready         .../lib/s100
# x5      ready         .../lib/x5

Run the sample programs

This section uses the minimal get_started sample to demonstrate running on the three platforms. For the purpose, build path, and dependencies of all 7 samples (callback / record / viewer / bench_hw / live_record_display / player), see Samples Overview → C++ samples.

Artifacts land in out/<arch>/build/samples/cpp/<name>/hv_sample_<name>; capture samples default to the USB backend, --mipi switches to EVS-only and --mipi-hvs to dual VC; in USB mode the first two positional arguments set VID/PID (default 0x1d6b 0x0105).

x86_64 (USB)

cd out/x86_64/build/samples/cpp
./get_started/hv_sample_get_started    # minimal capture: Init → StartStream → GetFrame → StopStream

get_started running on x86_64 (USB backend)

S100 (MIPI / cross-compile)

out/s100/build is a self-contained directory — the prebuilt libraries are bundled in at build time and the samples' rpath resolves via $ORIGIN, so you can copy the whole directory onto the board:

# On the host: deploy to the board
scp -r out/s100/build root@<board-IP>:/app/
export LD_LIBRARY_PATH=/app/build:$LD_LIBRARY_PATH
# Run directly on the board (no LD_LIBRARY_PATH needed)
cd /app/build/samples/cpp
./get_started/hv_sample_get_started --mipi

get_started running on S100 (--mipi)

X5 (MIPI / cross-compile)

out/x5/build is self-contained; deployment and running are the same as S100, just swap out/s100/build → out/x5/build.

scp -r out/x5/build root@<board-IP>:/app/
export LD_LIBRARY_PATH=/app/build:$LD_LIBRARY_PATH
cd /app/build/samples/cpp
./get_started/hv_sample_get_started --mipi

get_started running on X5 (--mipi)

Python samples

The Python binding (a single hv_toolkit module, x86_64 prebuilt, Python 3.10) ships with lib/x86_64/python/:

# Simplest path: install the libraries into the system path, then import directly
sudo ./run.sh install x86_64
python3 samples/python/get_started.py

Minimal capture sample (USB) — frame.evs is raw event bytes, decoded with Evt2Decoder:

import hv_toolkit as hv

cfg = hv.DeviceConfig()
cfg.backend    = hv.Backend.Usb
cfg.vendor_id  = 0x1d6b
cfg.product_id = 0x0105

cam = hv.Camera(); cam.init(cfg); cam.start_stream()
dec = hv.Evt2Decoder()
f = hv.Frame()
for _ in range(10):
    if cam.get_frame(f, 1000):
        events = dec.decode(bytes(f.evs))   # → numpy structured array (x, y, t, polarity)
        print(f"frame {f.frame_id} {f.width}x{f.height}: {len(events)} events, aps={f.aps.nbytes} bytes")
cam.stop_stream(); cam.destroy()

MIPI HVS only changes the backend and decoder (Frame.evs is a RAW8 subframe stream, which must use MipiRaw8Decoder):

cfg = hv.DeviceConfig()
cfg.backend      = hv.Backend.MipiHvs
cfg.sensor_index = 9       # current S100 configuration; X5 uses the index configured by its SDK (49 in the current sample)
cfg.evs_fps      = 500     # frame-rate tier (0 = default 240), applied at Init
dec = hv.MipiRaw8Decoder()

Frame-rate tiers

cfg.evs_fps (0 = default 240). Tiers map to the number of subframes per full package:

Tier (fps)1202403005007501000
Subframes per pkg16324064100128

MipiRaw8Decoder.decode adapts by data length automatically when subframe_count is omitted. The tier is selected at Init; switching tiers while MIPI is running requires rebuilding the pipeline (SetFrameRate not supported).

The prebuilt Python module is x86_64-only

The Python .so shipped in the release repository is prebuilt for x86_64 only and cannot be copied directly onto S100/X5; for on-board Python, cross-compile the binding from source for the target architecture. Until a board Python artifact exists, use C++. For the full interface see the Python API.

USB device permissions

If the first run fails with LIBUSB_ERROR_ACCESS, configure a udev rule (sudo-free) :

echo 'SUBSYSTEM=="usb", ATTR{idVendor}=="1d6b", ATTR{idProduct}=="0105", MODE="0666"' \
  | sudo tee /etc/udev/rules.d/99-hv-camera.rules
sudo udevadm control --reload-rules && sudo udevadm trigger

🚨 Troubleshooting

No USB device found

no match devices found means the device did not connect — check the USB connection and whether vendor_id / product_id are correct:

Alternative text

Alternative text

LIBUSB_ERROR_ACCESS

The device is connected and VID/PID are correct, but you get Cannot open device: LIBUSB_ERROR_ACCESS — insufficient permissions:

# Quick fix: open up USB bus permissions
sudo chmod -R 777 /dev/bus/usb/
# Recommended: configure a udev rule (see above — sudo-free and persistent)

Cross-compiling reports file in wrong format

./run.sh build s100 (or x5) fails early with install guidance when the aarch64 toolchain is missing. If you invoke cmake yourself without passing a toolchain, the host compiler reports libshimetapi_hv.so: file in wrong format at link time — fix: after apt install g++-aarch64-linux-gnu, build with ./run.sh build <arch>, or pass -DCMAKE_TOOLCHAIN_FILE explicitly.

Edit this page on GitHub
Prev
Hybrid Vision Toolkit
Next
C++ API