DECA
deviceidentifier-py
| DECA | deviceidentifier-py | |
|---|---|---|
| 5 | 2 | |
| 2,009 | 13 | |
| - | - | |
| 0.0 | 0.0 | |
| 9 months ago | 12 months ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | GNU Lesser General Public License v3.0 only |
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DECA
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Looking for a NLP expert to help me in a project about body movements and facial expressions.
[2] https://github.com/yfeng95/DECA
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[D] Alternatives to Mediapipe's FaceMesh for 3D Face Reconstruction
You can check DECA, 3DDFA , as they give you detailed 3d landmarks (detailed as in "denser" 3d landmarks) which is obtained through Face Blendshape Vertices.
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Automatic BlendShape Transfer to Different Topology!
But where else should he post seems like the post got deleted in many other places already. The pay link in the video description looks suspicious and was most likely not included in this video to prevent deletion. The Tool itself looks similar to thinks proposed in: https://github.com/YadiraF/DECA or something similar what Disney did.
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[P] Mapping an image to a 3D face model (iPhone AR compatible)
I retrained DECA using the original dataset and additional data that I generated and then combined this with a library I wrote to convert .obj files to .usdz, a format used on iPhone to describe 3D models that are compatible with its AR viewer.
- DECA: Detailed Expression Capture and Animation
deviceidentifier-py
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Ipad Serial --> Ipad Info
There’s a restful API by reincubate that seems to do what you need although it looks expensive.
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Using excel data for web input
Searching for "apple serial number lookup API" I found this library that should still work https://github.com/reincubate/deviceidentifier-py
What are some alternatives?
Blender-Tools-for-DSCS - This repository provides a work-in-progress addon for Blender 2.8 that can (to some degree) import model files from the PC version of Digimon Story: Cyber Sleuth. It provides new options in File > Import and File > Export named "DSCS Model", which should be pointed towards 'name' files in the game data. The file format is mostly understood; but some bugs remain and there are some Blender issues yet to be understood. Also has experimental support for the PS4 version, and for Megido72.
spleeter - Deezer source separation library including pretrained models.
vrn - :man: Code for "Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression"
PINTO_model_zoo - A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.
3DDFA_V2 - The official PyTorch implementation of Towards Fast, Accurate and Stable 3D Dense Face Alignment, ECCV 2020.
CoreML-Models - Largest list of models for Core ML (for iOS 11+)
facexlib - FaceXlib aims at providing ready-to-use face-related functions based on current STOA open-source methods.
open_model_zoo - Pre-trained Deep Learning models and demos (high quality and extremely fast)
learning-topology-synthetic-data - Tensorflow implementation of Learning Topology from Synthetic Data for Unsupervised Depth Completion (RAL 2021 & ICRA 2021)
Lexica.art - An easy-to-use reverse engineered text to image generation Python API wrapper for Lexica.art
3DDFA - The PyTorch improved version of TPAMI 2017 paper: Face Alignment in Full Pose Range: A 3D Total Solution.
PaddleHub - Awesome pre-trained models toolkit based on PaddlePaddle. (400+ models including Image, Text, Audio, Video and Cross-Modal with Easy Inference & Serving)