K230 SDK Development Guide#
- K230 RVV optimization performance description
- K230 Memory Optimization Guide
- K230 Memory Analysis Guide
- K230 Boot Optimization Guide
- K230 Inter Processer Communication Sharefs Usage
- K230 OpenBLAS Development Guide
- K230 OpenCV Development Guide
- K230 Camera Sensor Adaptation Guide
- K230 Power Management Usage Guide
- Directory
- preface
- Overview
- Big core power consumption control
- Introduction to the control framework
- Usage
- API Reference
- kd_mpi_pm_set_reg
- kd_mpi_pm_get_reg
- kd_mpi_pm_get_profiles
- kd_mpi_pm_get_stat
- kd_mpi_pm_set_governor
- kd_mpi_pm_get_governor
- kd_mpi_pm_set_profile
- kd_mpi_pm_get_profile
- kd_mpi_pm_set_profile_lock
- kd_mpi_pm_set_profile_unlock
- kd_mpi_pm_set_thermal_protect
- kd_mpi_pm_get_thermal_protect
- kd_mpi_pm_set_thermal_shutdown
- kd_mpi_pm_get_thermal_shutdown
- kd_mpi_pm_set_clock
- kd_mpi_pm_set_power
- kd_mpi_pm_runtime_runstage
- Data Structures
- Error Codes
- Little core power consumption control
- K230 VICAP SENSOR Parameter Partition Reference
- K230 PMU User Guide
- K230 SDK IoT WiFi AiW4211LV10 User Guide
- K230 SDK IoT WiFi AiW4211LV10 Driver Development Guide
- K230 nncase Development Guide
- Directory
- preface
- Overview
- Compiling Model APIs (Python)
- Simulator APIs (Python)
- KPU runtime APIs (C++)
- AI2D runtime APIs (C++)
- FAQ
xxx.whl is not a supported wheel on this platform.Error is reported when installing wheel packagepython: symbol lookup errorerror is reported when compiling the modelstd::bad_allocerror is reported when running the inference app on the boarddata.size_bytes() == size = false (bool)error is reported when running the App inference program on the board
- K230_SDK_nncase_version_correspondence
- K230 debian ubuntu Notes
- K230 SDK Burntool User Guide
- K230 SDK Dewarp User Guide
- K230 ISP Image Tuning Guide
- Directory
- K230 ISP Image Tuning Overview
- Calibration
- Module introduction
- K230 ISP Initial Setting
- K230 ISP Tuning Tool User Guide
- Directory
- 1.Module software architecture
- 2.Connection and activation of the Tuning Tool
- 3.Introduction to the Tuning Tool interface
- Connect the board-end tuning-server
- Create/Select Project
- Online Tuning interface and function description
- Bypass Settings
- Auto Focus Control (Focus Control)
- Auto Exposure Control (Exposure Control)
- Auto White Balance (White Balance)
- Exposure Statics
- Auto Focus Measurement
- High Dynamic Range
- Compand
- Black Level Subtraction
- RGB Infrared Radiation
- Lens Shading Correction
- Digital Gain
- Wide Dynamic Range
- Green Equilibrate
- Defect Pixel Cluster Correction
- Denoising Prefilter
- 3D Noise Reduction
- Demosaic
- Color Correction Matrix
- Gamma Correction
- Edge Enhance
- Color Processing
- Capture images
- Import and export of parameters
