SPRAD86A March   2023  – May 2024 AM62A3 , AM62A3-Q1 , AM62A7 , AM62A7-Q1 , AM67A , AM68A , AM69A

 

  1.   1
  2.   Abstract
  3.   Trademarks
  4. 1 Introduction
  5. 2 Tuning Overview
  6. 3 Hardware Requirement
  7. 4 Software Requirement
    1. 4.1 Processor SDK Linux
    2. 4.2 TI's Reference Imaging Software
    3. 4.3 ISP Tuning Tool
  8. 5 Sensor Software Integration
    1. 5.1 Overview of Image Pipeline Software Architecture
    2. 5.2 Adding Sensor Driver to SDK
    3. 5.3 Updating TIOVX Modules
      1. 5.3.1 Source Code Change
      2. 5.3.2 Rebuild Modules
    4. 5.4 Update GStreamer Plug-in for VISS
      1. 5.4.1 Update VISS Plug-in Property
      2. 5.4.2 Add Exposure Setting for 2A Algorithm
        1. 5.4.2.1 Gain
        2. 5.4.2.2 Exposure Time
        3. 5.4.2.3 Other Parameters
      3. 5.4.3 Rebuild Plug-ins
      4. 5.4.4 Verify New Sensor in GStreamer Plug-in
  9. 6 Tuning Procedure
    1. 6.1 Verify Functional Operation of Camera Capturing
    2. 6.2 Enable Camera Streaming With Initial VPAC Configuration
      1. 6.2.1 Generate Configuration Files
      2. 6.2.2 Generate DCC Binary Files
      3. 6.2.3 Stream Video With the Initial Configuration
    3. 6.3 Adjust Camera Mounting
  10. 7 Perform Basic Tuning
    1. 7.1 Launch the Tuning Tool and Create a Project
    2. 7.2 Tuning Order
    3. 7.3 Black Level Subtraction
    4. 7.4 Hardware 3A (H3A)
    5. 7.5 PCID
    6. 7.6 Auto White Balance (AWB)
      1. 7.6.1 Capture Raw Images for Different Lighting Conditions
      2. 7.6.2 Tuning AWB
    7. 7.7 Color Correction
  11. 8 Perform Fine Tuning
    1. 8.1 Edge Enhancement (EE)
    2. 8.2 Noise Filter 4 (NSF4)
  12. 9 Live Tuning
    1. 9.1 Requirements
    2. 9.2 Supported Features
      1. 9.2.1 RAW Capture
      2. 9.2.2 YUV Capture
      3. 9.2.3 Live DCC Update
      4. 9.2.4 Exposure Control
      5. 9.2.5 White Balance Control
      6. 9.2.6 Sensor Register Read/Write
  13. 10Summary
  14. 11Revision History

4.2 TI's Reference Imaging Software

Clone the imaging software from https://git.ti.com/cgit/processor-sdk/imaging/ to a Linux host PC:

$ git clone git://git.ti.com/processor-sdk/imaging.git --branch main

This report has TI's reference imaging algorithms for AE, AWB, and ISP control or DCC. This information also contains Python scripts that are needed in the tuning process.