3ds-Ghidra-Scripts - Ghidra scripts to help with 3ds reverse engineering

Overview

3ds Ghidra Scripts

These are ghidra scripts to help with 3ds reverse engineering.

Features:

  • Labels, comments (when inlined), and bookmarks svc use
  • Labels service handles, given ctr::srv::GetServiceHandleDirect
  • Labels IPC functions and uses handles to better identify functions
  • Adds ThreadLocalStorage and types thread local storage
  • Renames thread local storage to 'tls'

These have been built over time for my personal use as needs came up, so results may vary and improvements can be made. If you run into a situation where these don't work as intended, I would happily accept a PR.

Running order

My preferred order to run these is:

  1. Label svcs
  2. Label handles
  3. Label ipc functions
  4. Set tls type

Credits

Thanks to:

Official source code of paper 'IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo'

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Fangjinhua Wang 127 Jan 04, 2023
FairyTailor: Multimodal Generative Framework for Storytelling

FairyTailor: Multimodal Generative Framework for Storytelling

Eden Bens 172 Dec 30, 2022
An implementation of based on pytorch and mmcv

FisherPruning-Pytorch An implementation of Group Fisher Pruning for Practical Network Compression based on pytorch and mmcv Main Functions Pruning f

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Applications using the GTN library and code to reproduce experiments in "Differentiable Weighted Finite-State Transducers"

gtn_applications An applications library using GTN. Current examples include: Offline handwriting recognition Automatic speech recognition Installing

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A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).

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The implementation of ICASSP 2020 paper "Pixel-level self-paced learning for super-resolution"

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GeDML is an easy-to-use generalized deep metric learning library

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HEAM: High-Efficiency Approximate Multiplier Optimization for Deep Neural Networks

Approximate Multiplier by HEAM What's HEAM? HEAM is a general optimization method to generate high-efficiency approximate multipliers for specific app

4 Sep 11, 2022
A Tensorflow based library for Time Series Modelling with Gaussian Processes

Markovflow Documentation | Tutorials | API reference | Slack What does Markovflow do? Markovflow is a Python library for time-series analysis via prob

Secondmind Labs 24 Dec 12, 2022
Code for CVPR2021 paper "Learning Salient Boundary Feature for Anchor-free Temporal Action Localization"

AFSD: Learning Salient Boundary Feature for Anchor-free Temporal Action Localization This is an official implementation in PyTorch of AFSD. Our paper

Tencent YouTu Research 146 Dec 24, 2022
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PyTorch Seq2Seq Intent Parsing Reframing intent parsing as a human - machine translation task. Work in progress successor to torch-seq2seq-intent-pars

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Resources for the Ki testnet challenge

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BEAMetrics: Benchmark to Evaluate Automatic Metrics in Natural Language Generation

BEAMetrics: Benchmark to Evaluate Automatic Metrics in Natural Language Generation Installing The Dependencies $ conda create --name beametrics python

7 Jul 04, 2022
Volumetric Correspondence Networks for Optical Flow, NeurIPS 2019.

VCN: Volumetric correspondence networks for optical flow [project website] Requirements python 3.6 pytorch 1.1.0-1.3.0 pytorch correlation module (opt

Gengshan Yang 144 Dec 06, 2022
GLM (General Language Model)

GLM GLM is a General Language Model pretrained with an autoregressive blank-filling objective and can be finetuned on various natural language underst

THUDM 421 Jan 04, 2023
Goal of the project : Detecting Temporal Boundaries in Sign Language videos

MVA RecVis course final project : Goal of the project : Detecting Temporal Boundaries in Sign Language videos. Sign language automatic indexing is an

Loubna Ben Allal 6 Dec 21, 2022
A very simple baseline to estimate 2D & 3D SMPL-compatible keypoints from a single color image.

Minimal Body A very simple baseline to estimate 2D & 3D SMPL-compatible keypoints from a single color image. The model file is only 51.2 MB and runs a

Yuxiao Zhou 49 Dec 05, 2022
Metric learning algorithms in Python

metric-learn: Metric Learning in Python metric-learn contains efficient Python implementations of several popular supervised and weakly-supervised met

1.3k Dec 28, 2022
Nest Protect integration for Home Assistant. This will allow you to integrate your smoke, heat, co and occupancy status real-time in HA.

Nest Protect integration for Home Assistant Custom component for Home Assistant to interact with Nest Protect devices via an undocumented and unoffici

Mick Vleeshouwer 175 Dec 29, 2022
Conditional Gradients For The Approximately Vanishing Ideal

Conditional Gradients For The Approximately Vanishing Ideal Code for the paper: Wirth, E., and Pokutta, S. (2022). Conditional Gradients for the Appro

IOL Lab @ ZIB 0 May 25, 2022