The log messages you're seeing come from the **MediaPipe Unity SDK** sample app and indicate that the initialization process is progressing normally. Let's break down what each line means and whether you should be concerned: --- ### 🔍 **Log Breakdown** #### 1. `Initializing the Bootstrap GameObject` ```text Initializing the Bootstrap GameObject UnityEngine.Debug:Log (object) Mediapipe.Unity.Sample.BaseRunner:FindBootstrap () (at Assets/MediaPipeUnity/Samples/Common/Scripts/TaskApiRunner.cs:82) ``` - This is a **debug message** indicating that the system is trying to locate or instantiate the `Bootstrap` GameObject. - The `FindBootstrap()` method is looking for a specific GameObject in the scene (usually named `Bootstrap`) which acts as the entry point for MediaPipe tasks. - If this is the first time running, it may be creating one via `Instantiate`. ✅ **Normal behavior** – no error here. --- #### 2. `The configuration for the sample app can be modified using AppSettings.asset.` ```text The configuration for the sample app can be modified using AppSettings.asset. UnityEngine.Debug:Log (object) Mediapipe.Unity.Sample.Bootstrap/<Init>d__11:MoveNext () (at Assets/MediaPipeUnity/Samples/Common/Scripts/Bootstrap.cs:27) ``` - A helpful reminder: you can customize settings like: - Model path - Camera source (Webcam, file, etc.) - Detection threshold - Whether to use GPU or CPU - Located in `Assets/AppSettings.asset` — open it in the Inspector to tweak values. ✅ **Expected informational message**, not an issue. --- #### 3. `Setting global flags...` ```text Setting global flags... UnityEngine.Debug:Log (object) Mediapipe.Unity.Sample.Bootstrap/<Init>d__11:MoveNext () (at Assets/MediaPipeUnity/Samples/Common/Scripts/Bootstrap.cs:36) ``` - MediaPipe uses "global flags" to configure internal runtime behavior (e.g., logging level, performance settings). - This step configures those flags before starting any pipeline. ✅ **Normal startup step** – everything is working as expected. --- ### ❓ Are There Errors? No actual errors are shown in your logs. The only things present are: - `Debug.Log` messages (expected during startup) - Stack traces pointing to coroutine execution (`<MoveNext>`), which is normal when using `StartCoroutine` > ✅ **Conclusion**: Your MediaPipe Unity sample app is initializing correctly. --- ### ✅ What You Should Do Next 1. **Check if the `Bootstrap` GameObject appears in the Scene Hierarchy** - It should be created automatically. - Look for a GameObject named `Bootstrap` (or similar) in the scene. - Ensure it has the `Bootstrap.cs` script attached. 2. **Verify `AppSettings.asset` is properly set up** - Open `Assets/AppSettings.asset` in the Inspector. - Confirm paths to models (e.g., `hand_detection_cpu.binarypb`) exist and are correct. - Make sure the model files are included in your build (check `Assets/StreamingAssets` folder). 3. **Ensure camera access is allowed (on mobile/desktop)** - On Android/iOS: Check permissions in `Player Settings`. - On Windows/macOS: Make sure the webcam isn't blocked by another app. 4. **Wait for the first frame or output** - After initialization (~1–5 seconds), you should see: - Detected hand landmarks (if using hand tracking) - Debug UI showing FPS, inference time, etc. --- ### 🛠️ Troubleshooting Tips (if nothing shows up) | Symptom | Possible Fix | |-------|--------------| | No output / blank screen | Check `CameraImageSource` component on `Bootstrap` | | Missing model file | Verify `StreamingAssets` contains the `.binarypb` file | | "Failed to load model" error | Double-check file path in `AppSettings.asset` | | White/black screen | Try switching to a different sample (e.g., face detection instead of hand) | --- ### 📌 Final Note These logs are **completely normal** and indicate successful startup. If your app runs without crashes and eventually displays results (like skeleton joints or bounding boxes), then **everything is working fine**! Let me know if: - You’re getting a crash after these logs - No visual output appears - Or want help modifying `AppSettings.asset` for a specific use case (e.g., pose estimation, facial landmarks) I'm happy to help! 😊