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3DPass mobile light wallet for Android and iOS. 3D object recognition and wallet functions.

Home Page: https://3dpass.org/mobile-wallet

License: GNU General Public License v3.0

Kotlin 0.13% Swift 0.12% Objective-C 0.10% Dart 98.42% Ruby 0.22% C 0.03% Makefile 0.51% Rust 0.46%

nft cryptocurrency metaverse-tool recognition tokenizer tokenized-assets android-application wallet mobile-app android

threedpass's Introduction

Threedpass

3Dpass mobile light wallet for Android and iOS. Read more about its features.

3D object recognition

This embedded option allows to recognize the same shaped 3D objects by means of processing its 3D models in .obj format. Due to the fact, that the app hasn't had a native 3D scanner integrated yet, now you can only process 3D models made by third party scanning/modeling apps and devices.

pass3d recognition tool is used as an implementation of Grid2d algorithm.

P3D Transfers

Tha wallet connects to the Node via RPC/API endpoints. These are the mainnet public endpoints:

wss://rpc.3dpscan.io
wss://rpc2.3dpass.org

3D-object-wallet

Tis option allows to produce crypto wallet (address + keys) out of 3D object and its recovery by means of scanning.

How to translate the UI

Your help is always welcome! Feel free to translate the wallet UI into your native language. Follow this short instruction:

Add LANG_CODE.json file to assets/translations/
Add locale info in lib/main.dart

EasyLocalization(
      supportedLocales: const [
        Locale('en'),
        Locale('es'),
        Locale('sr'),
        // Add new locale here
      ],
)

Add LANG_CODE in ios/Runner/Info.plist as described here:

<key>CFBundleLocalizations</key>
<array>
      <string>en</string>
      <string>es</string>
      <string>sr</string>
      // Add new locale here
</array>

Copyright

threedpass's People

Contributors

Stargazers

Watchers

Forkers

wlinknet benrod3k seineken olli92 ideasincrypto

threedpass's Issues

Zobacz „Moon Active”

https://play.google.com/store/apps/dev?id=6898760406631171989

Nine

https://github.com/zooper-corp/mooncli/releases/tag/v0.0.20

P3D transfers

Implement transfers into the wallet

3DPass wallet function implementation

Integrate threedpass app with 3DP blockchain NODE:

submitting 3D objects on the network
cryptocurrency wallet functions

Assign .obj models to its actual objects (if recognized)

Separate actual objects from its 3D models (.obj files).
The object might have a lot of its scans or 3D models being slightly different to one another. However, comparing HASH IDs of several models, we can recognize whether or not they represent one particular object. When we're comparing the hashes between two 3D models and we have at least one hash matched, then the object is considered to be recognized. So, we should organize the two 3D models as one object having its 3D models.
Highlight the stable hash if found
If we have the same hash matched within three or more different 3D models, then the hash is considered stable. Meaning, it's highly likely to have the stable hash in top10 in the future, as long as you have used the same set of parameters and the same scanning equipment. We have to highlight the stable hash (make it "bold").
Ask user if they want to add an arguable 3D model to one of the existing objects or to save it as a new one.
If a new 3D model just uploaded is matched to several objects, already saved in the app, we don't know which object to attach the model to. So, we need to ask.

No error message

If we try to import on android app any txt file we dont have any info on error just black bottom line maybe it will be nice to have error message and supported extensions

3D scanner implementation

Implement an open source camera based 3D scanner

Smartphone camera 3D scanner implementation

Implement an open source mobile 3D scanner into the threedpass app

Update pass3d hash calculation to the actual version

Update pass3d hash calculation with the actual version having p3d lib for wasm: https://github.com/3Dpass/pass3d
When the .so is compiled.

Id

https://github.com/paritytech/substrate-api-sidecar/actions/runs/8946553728/job/24577359393#step:3:1

Sourcing matches among HASHes of the objects saved

When a user opens an object view page. Source all matches among top HASHes of the objects saved and the object is being displayed by the user now. If at least one match found, the object is considered to be recognized. So, the whole amount of OBJECTS recognized has to be displayed as exposed on the screenshot down below. (ex. 3 matches found)
By click on the link "x matches found" go to the page showing the list of the objects recognized and the HASHes matched.