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  • 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

Hybrid Vision Toolkit Python API

This document describes the v2.0 Python binding — a single hv_toolkit module (generated with pybind11, source at src/python/hv_toolkit_module.cpp). The same API supports both USB (x86_64) and MIPI HVS (S100 / X5).

Source of truth: this page follows the repository's src/python/hv_toolkit_module.cpp; fields/methods map one-to-one to the C++ public API (API.md → Python binding appendix). When the binding changes, sync against that file.

v2.0 has removed the four legacy standalone modules (hv_evt2_codec_python / hv_event_reader_python / hv_event_writer_python / hv_camera_python), unified into one hv_toolkit module.

Prebuilt distribution: the release repo ships lib/x86_64/python/hv_toolkit.cpython-310-x86_64-linux-gnu.so (Python 3.10); on boards you must cross-compile it yourself. RK3588 support is pending.

Module overview

import hv_toolkit as hv

hv.__version__   # "2.0.0"

Exported surface at a glance:

SymbolKindPurpose
EventCDclassA single event (x/y/t/polarity, all writable).
FrameclassFrame: width/height/frame_id/format + read-only evs/aps (numpy views)
BackendenumCapture backend: Auto/Usb/Mipi/MipiHvs/Ethernet.
EventFormatenumEvent format: Evt2/Evt3.
PixelFormatenumAPS pixel format: BayerRG8/RGB888/Gray8/RAW8/RAW10/NV12.
QueuePolicyenumQueue policy: DropOldest/Block.
RawFormatenumRAW file format: Evt2/Evt3.
DeviceConfigclassCapture configuration (all USB + MIPI + Ethernet fields).
CameraclassUnified capture camera.
Evt2Decoder / Evt2EncoderclassEVT2 decoder / encoder.
Evt3Decoder / Evt3EncoderclassEVT3 decoder / encoder.
MipiRaw8DecoderclassMIPI HVS apx003 RAW8 subframe-stream decoder.
MipiRaw8LayoutclassRAW8 subframe layout constants (kSubframeBytes etc.).
extract_evs_timestamp(data)funcExtracts the sensor timestamp from a RAW8 subframe header.

Still not exported (use the C++ API when needed — see the C++ API): async callbacks (set_frame_callback / set_event_callback / set_image_callback), EventReader / EventWriter, HybridReader / HybridWriter.

EventCD

A single CD event; all fields are writable.

e = hv.EventCD()
e.x = 100
e.y = 50
e.t = 12345        # microseconds
e.polarity = True  # True = CD_ON, False = CD_OFF
AttributeTypeMeaning
x / yintPixel coordinates.
tintTimestamp (microseconds).
polarityboolTrue = CD_ON, False = CD_OFF.

Frame

The frame object. evs/aps are zero-copy numpy uint8 views: the underlying data lives in pool slabs, the views hold the owner's reference count, and the views stay valid after the Frame is released (until the views themselves are garbage-collected).

AttributeTypeMeaning
width / heightintFrame width / height (writable).
frame_idintFrame sequence number (writable).
formatPixelFormatAPS pixel format (usually NV12 for MIPI HVS).
evsnumpy.ndarray(uint8)Read-only, raw undecoded event bytes from the HAL (format depends on backend and event_fmt).
apsnumpy.ndarray(uint8)Read-only, raw APS bytes (NV12 for MIPI HVS).
f = hv.Frame()
if cam.get_frame(f, 1000):
    raw = bytes(f.evs)          # convert to bytes to feed a decoder
    print(f.aps.nbytes, "bytes APS", f.format)

Enums

hv.Backend.Usb           # USB backend (x86_64)
hv.Backend.MipiHvs       # MIPI HVS dual-VC backend (S100 / X5; RK3588 pending)
hv.EventFormat.Evt2      # / Evt3
hv.PixelFormat.NV12      # MIPI HVS APS output format
hv.QueuePolicy.DropOldest
hv.RawFormat.Evt3        # RAW file format

DeviceConfig

Capture configuration, passed to Camera.init(). USB / MIPI / Ethernet fields all live on the same class — just fill in the fields for the selected backend.

GroupAttributeTypeMeaning
CommonbackendBackendCapture backend.
Commonevent_fmtEventFormatEvent format (USB/Ethernet).
Commonbuffer_countintNumber of frame buffers (default 8).
Commonqueue_policyQueuePolicyFrame-queue policy (default DropOldest).
Commonevs_fpsintMIPI frame-rate tier (0 = default 240; 120/240/300/500/750/1000; non-tier values raise an error; applied at init).
USBvendor_idintUSB vendor ID.
USBproduct_idintUSB product ID.
USBevent_urbsintIn-flight URBs on the USB event endpoint (default 4).
MIPIdevice_nodestrMIPI device node (e.g. /dev/video0).
MIPIsensor_indexintMIPI sensor index (VC0 EVS configuration index, default 0).
MIPIi2c_busintSecure-chip authentication I2C bus (default 1).
EthernetipstrPeer IP.
Ethernetdata_port / ctrl_portintData / control port (default 8000/8001).
Ethernetlisten_portintTCP listen port (default 8888).
Ethernetbind_ipstrLocal bind IP (empty = INADDR_ANY).
# USB (x86_64)
cfg = hv.DeviceConfig()
cfg.backend    = hv.Backend.Usb
cfg.vendor_id  = 0x1d6b
cfg.product_id = 0x0105

# MIPI HVS (S100 / X5)
cfg = hv.DeviceConfig()
cfg.backend      = hv.Backend.MipiHvs
cfg.device_node  = "/dev/video0"
cfg.sensor_index = 0     # S100 defaults to 9; X5 defaults to 49 (determined by the SDK configuration)
cfg.i2c_bus      = 1
cfg.evs_fps      = 0     # optional: 120/240/300/500/750/1000; 0 = default 240

Camera

The unified capture camera, corresponding to the C++ Shimeta::hv::Camera. Method names are Python-style (snake_case) and shared by all backends.

cam = hv.Camera()
cam.init(cfg)                       # cfg: DeviceConfig; returns bool
cam.start_stream()                  # returns bool (whether the device connected)
f = hv.Frame()
ok = cam.get_frame(f, 1000)         # timeout_ms defaults to 1000; returns whether a frame was obtained
cam.stop_stream()
cam.destroy()
MethodPurposeParameters / return
init(cfg)Initializes the backend per DeviceConfigcfg (in) DeviceConfig; returns bool
start_stream()Starts the capture thread.Returns bool (whether the device connected).
stop_stream()Stops capture and joins the thread.—
destroy()Releases backend resources.—
get_frame(frame, timeout_ms=1000)Synchronously pulls one frame (events + APS)frame (in/out) Frame¹; returns bool
set_exposure(value)Sets APS exposure.Returns bool.
set_frame_rate(fps)Sets the EVS event frame rate (USB/Ethernet).Returns bool.
get_frame_rate()Reads the current EVS frame rate.Returns (ok: bool, fps: int).
sync_clock()Clock sync (e.g. Ethernet PTP).Returns bool.

¹ timeout_ms defaults to 1000.

Codecs

Decoder.decode() takes bytes and returns a numpy structured array (dtype fields x/y/t/polarity); Encoder.encode() takes a list[EventCD] and returns bytes. The EVT2/EVT3 codecs are stateful (they maintain the time base across packets) — reuse one instance for a continuous stream and call reset() before a new stream; MipiRaw8Decoder is stateless.

ev = dec.decode(b"\x00\x01...")   # → ndarray with fields x/y/t/polarity
len(ev)                            # event count
ev['x']                            # x coordinates of all events (ndarray)
ev[:100]                           # slicing

EVT2

32-bit word stream, the default event format of the USB backend.

  • Evt2Decoder: decodes an EVT2 32-bit word byte stream into a CD event array.
  • Evt2Encoder: encodes events into an EVT2 32-bit word byte stream (with the necessary TimeHigh redundancy words).
dec = hv.Evt2Decoder()
events = dec.decode(bytes(f.evs))   # f.evs → ndarray
dec.reset()

enc = hv.Evt2Encoder()
raw = enc.encode([e1, e2])          # list[EventCD] → bytes
MethodPurposeParameters / return
Evt2Decoder.decode(data)Decodes an EVT2 byte stream into an event arraydata: bytes → numpy.ndarray¹
Evt2Encoder.encode(events)Encodes events into an EVT2 byte streamevents: list[EventCD] → bytes
*.reset()Clears time state; call before a new stream—

¹ Fields: x / y / t / polarity.

EVT3

16-bit word stream; used by Frame.evs when event_fmt=Evt3 (decode input length must be a multiple of 2).

  • Evt3Decoder: decodes an EVT3 16-bit word byte stream into a CD event array.
  • Evt3Encoder: encodes events into an EVT3 16-bit word byte stream.
dec = hv.Evt3Decoder(); events = dec.decode(raw_bytes)
enc = hv.Evt3Encoder(); raw = enc.encode([e1, e2])

Method signatures and semantics match EVT2: decode(data: bytes)→ndarray, encode(list[EventCD])→bytes, and reset() to clear state.

MIPI RAW8

The apx003 subframe stream, produced only by the MIPI HVS backend; Frame.evs must be decoded with MipiRaw8Decoder — not with EVT2/EVT3.

  • MipiRaw8Decoder: decodes the apx003 RAW8 subframe stream into a CD event array; stateless.
dec = hv.MipiRaw8Decoder()
events = dec.decode(bytes(f.evs))                    # default auto mode: decode all subframes by data length
events = dec.decode(bytes(f.evs), subframe_count=4)  # decode only the first 4 subframes
MethodPurposeParameters / return
MipiRaw8Decoder.decode(data, subframe_count=0)Decodes a RAW8 subframe streamdata: bytes¹ → numpy.ndarray

¹ subframe_count: int; ≤0 = auto mode decodes all by length; >0 = only the first N.

  • MipiRaw8Layout: RAW8 subframe layout constants (class attributes), for reference when decoding subframe by subframe.
ConstantValueMeaning
kSubWidth / kSubHeight384 / 304Single-subframe resolution
kEvsWidth / kEvsHeight768 / 608Full-frame EVS resolution
kSubframeBytes32768Bytes per subframe
kTotalSubframes32Subframes per package (4 spatial × 8 merged)
  • extract_evs_timestamp(data): extracts the sensor timestamp from an apx003 RAW8 subframe header (45-bit / 200 → microseconds). Pairs with MipiRaw8Decoder — take the timestamp first, then decode the events.
raw_ts, processed_us, valid = hv.extract_evs_timestamp(bytes(f.evs))
# raw_ts: 45-bit raw timestamp; processed_us: raw_ts/200 (microseconds); valid: whether valid

USB vs. MIPI HVS

USB (x86_64)MIPI HVS (S100 / X5)
backendBackend.UsbBackend.MipiHvs
Key DeviceConfig fieldsvendor_id/product_iddevice_node/sensor_index/i2c_bus/evs_fps
Frame.evs decoderEvt2Decoder / Evt3DecoderMipiRaw8Decoder
Frame.formatNV12NV12 (S100) / Gray8 (X5)

Camera / Frame / get_frame / stop_stream etc. are all identical — the backend is just a runtime value of DeviceConfig.backend; there is no second API to learn.

Build and deploy

The release repo ships a prebuilt Python module in lib/x86_64/python/ (cpython-310-x86_64) — no build needed:

sudo ./run.sh install x86_64        # install libraries into the system path
python3 -c "import hv_toolkit; print(hv_toolkit.__version__)"   # smoke test
python3 samples/python/get_started.py

For a source checkout, or to run on S100 / X5 boards:

./run.sh --python build x86_64     # USB; artifact build/hv_toolkit.<abi>.so
./run.sh --python build s100       # MIPI HVS (aarch64); artifact out/s100/build/hv_toolkit.cpython-310-aarch64-linux-gnu.so
./run.sh --python build x5         # X5 (aarch64); artifact out/x5/build/hv_toolkit.cpython-310-aarch64-linux-gnu.so

Board deployment (set the library and module paths, then run):

export LD_LIBRARY_PATH=/app/build:$LD_LIBRARY_PATH
export PYTHONPATH=/app/build:$PYTHONPATH
python3 /app/build/samples/python/get_started_mipi.py

See also HV Toolkit Quick Start → Python samples and Your First C++ Program → S100 board deployment.

License

Apache License 2.0.

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