camera-samples VS react-native-vision-camera

For the device formats, what you get on CameraX should be what you get on Camera2, but you can verify with the Camera2Video sample app. It lists the available resolutions and framerates (which notably calculates it in largely the same way that you're already doing).

It's been many years since I used camera APIs, and only camera1. I don't have experience with camera2 and cameraX. The android camera docs https://developer.android.com/training/camerax/choose-camera-library lists the available libraries and in additional resources at bottom of pages, there are samples available. You probably need https://github.com/android/camera-samples/tree/master/Camera2Basic or https://github.com/android/camera-samples/tree/master/Camera2Extensions

https://issuetracker.google.com/issues/178121821 https://issuetracker.google.com/issues?q=camerax%20leak https://issuetracker.google.com/issues/141188637 https://groups.google.com/a/android.com/g/camerax-developers/c/j8T9iRtTGtw https://github.com/android/camera-samples/issues/94

https://github.com/android/camera-samples They have both Camera2 and X code.

Have you checked out the official samples: https://github.com/android/camera-samples/tree/master/CameraXBasic

Camera and Image Captioning: For taking pictures we will use react-native-vision-camera and for generating captions from the images, react-native-quick-tflite.

> One of the big "aha" moments I had was a couple years ago when I was trying out Stripe's Identity product, which lets you take a selfie and a picture of your ID for identity verification purposes. It's pretty amazing how Stripe was able to do the full image analysis (i.e. edge detection when you take a picture of your ID) solely with browser APIs.

Do you have any details on that Stripe app? I've found the browser camera handling lacking on mobile if you want to overlay it with a "position the subject here" rectangle, or display instructions alongside, or detect QR codes as well as other subjects. I'd like this to be an out-of-date view. I've been considering React Native for the next version, using https://github.com/mrousavy/react-native-vision-camera as it seems much more feature complete.

You can use react-native-vision-camera and a frame processor that uses some kind of OCR to get the number plates.

This is a demonstration of what VisionCamera V3 is capable of - I built a small plugin to load any TensorFlow Model (.tflite) from resources and run it on every Camera Frame. This is going to be a game-changer, since the developer no longer needs to write native code for such complex tasks - it only takes a few lines of JavaScript to spin up a Camera, do real-time processing with a TensorFlow model, and draw anything to the Frame. Magic!

it's https://github.com/mrousavy/react-native-vision-camera

I finally got react-native-vision-camera and vision-camera-face-detector working yesterday by using Windows Subsystem for Linux (WSL). On windows itself it just doesn't work for me (https://github.com/mrousavy/react-native-vision-camera/issues/1474)

I'm the author of react-native-vision-camera, a library that exposes platform native Camera features to React Native.

Here’s an example from react-native-vision https://github.com/mrousavy/react-native-vision-camera/blob/main/example/src/views/StatusBarBlurBackground.tsx

6. Vision Camera