Sensors Toolbox vs NeRFCapture

Sensors toolbox is the absolute all-in-one diagnostic tool that lets you know virtually everything about your mobile device status. Get full information about all sensors supported by your tablet, smartphone or wearable device. View in comfortable layout all data from your mobile device sensors in real time, make a sensors tests. Check data on chart (graphic view) and text output available for each sensor and check a detailed description of each detectors and parameters. All multi tools and sensors device you need in one app: altimeter, metal detector, compass, sport tracker and much more. This sensors tool box app gives you access to data from: - accelerometer readings (linear acceleration and gravity sensors) - gyroscope (calibrated and uncalibrated) - device 3D orientation - kinetics sensors - rotation vector sensors - other motion and position sensors - magnetometer, ambient magnetic field values strength (micro Tesla, µT) - barometer, pressure sensor - location, accuracy, altitude - battery status - sound level meter and microphone meter (decibel) - device front and back camera resolution - smartphone display size, resolution - device, phone memory, RAM and CPU parameters and others sensors available in your mobile device. With this sensors multitool app you can check what kind of sensors contain your device and test all of this. It supports all the sensors on device and it will tell you which of them are not supported by your hardware. If you have any problems with this app or ideas to develop, please send us message to apps@examobile.com Have a fun at work with this ultimate tool!

The use of Neural Radiance Fields (NeRFs) for 3D reconstruction is on the rise, but the challenge of obtaining a suitable dataset for NeRFs persists. This difficulty arises from the need for a collection of images whose positions and calibration parameters are accurately determined. NeRFCapture addresses this challenge by leveraging ARKit to establish the pose of each captured image. The resulting dataset, containing images and their respective poses and calibration parameters, can be saved offline or shared directly with your preferred NeRF implementation over the network. NeRFCapture seamlessly integrates with InstantNGP, a popular NeRF implementation, and allows for real-time data transfer using DDS with automatic peer discovery. Furthermore, NeRFCapture can also broadcast depth data if your iOS device is equipped with LiDAR. Simplify your data capture process with NeRFCapture (https://github.com/jc211/NeRFCapture), an open-source tool that encourages contributions from the community. For detailed instructions on using InstantNGP with NeRFCapture, please refer to https://github.com/NVlabs/instant-ngp/blob/master/docs/nerf_dataset_tips.md#NeRFCapture.