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The PICO Unity Integration SDK is a Unity-based software development kit developed by PICO. The SDK packages a series of features covering rendering, input, tracking, mixed reality, platform services, etc. What's in the PICO Integration folder?
https://developer-cn.picoxr.com/en/document/unity/chapter-overview/
Released on: January 24, 2024 Required PICO device's system version: 5.9.0 or later
| Module | Description |
|---|---|
| Rendering | Compositor layers of the "External Surface" texture type supported playing back HDR videos and dynamically setting the HDR type (HDRFlags) based on the video's type during playback. |
| Interaction | * Supported enabling the interaction between hands and 3D objects using the XR Interaction Toolkit. * Supported previewing the hand tracking effect in the PICO Developer Center (PDC). |
| Enterprise Service |
Added the following APIs: * SetWifiP2PDeviceName: Set a name for the WiFi P2P device. * GetWifiP2PDeviceName: Get the name of the WiFi P2P device. * SetScreenBrightness: Set the brightness of the screen. * SwitchSystemFunction: Enable or disable a specified system function. * SetSystemKeyUsability: Enable or disable a system key. * SetLauncher: Set an app as the launcher. * SetSystemAutoSleepTime: Sets a time after which the device automatically enters the sleep mode * OpenTimingStartup: Schedule auto startup for the device. * CloseTimingStartup: Disable scheduled auto startup for the device. * OpenTimingShutdown: Schedule auto shutdown for the device. * CloseTimingShutdown: Disable scheduled auto shutdown for the device. * SetTimeZone: Sets a time zone for the device. * AppCopyrightVerify: Check whether the user has the entitlement to use the app. * GotoEnvironmentTextureCheck: Go to the environment texture check page. |
| Module | Description |
|---|---|
| Interaction |
Optimized the stability, performance, and interaction capabilities of hand tracking. Below are specific details: * Improved the stability of wrist tracking, making the tracking of complete hand more stable and reducing the jitter and loss of hand model. * Improved the success rate of pinch. To enhance the accuracy of pinch recognition, PICO has studied the different ways in which users pinch and conduct corresponding training. * Decreased the latency in initiating hand poses, allowing virtual hand models to closely mirror users' hand movements in real time. * Improved the stability of fingers, reducing finger jitter. |
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