Parametric Bottle in CADQuery

Overview

Parametric Bottle using CADQuery

The proposed code makes it possible to generate different types and sizes of 3D bottles in order to train Pixel2mesh algorithm on these synthetic data and adapt it to reconstruct 3D shapes of bottles using a single RGB image input. Check the results for different parameters: Bottle 1, Bottle 2 and Bottle 3.

Please find Here the documentation for CADQuery.

You might also like...
Parametric Contrastive Learning (ICCV2021)

Parametric-Contrastive-Learning This repository contains the implementation code for ICCV2021 paper: Parametric Contrastive Learning (https://arxiv.or

Parametric open source reconstructions of Voron printed parts

The Parametric Voron This repository contains Fusion 360 reconstructions of various printed parts from the Voron printers

The official implementation of the research paper
The official implementation of the research paper "DAG Amendment for Inverse Control of Parametric Shapes"

DAG Amendment for Inverse Control of Parametric Shapes This repository is the official Blender implementation of the paper "DAG Amendment for Inverse

Adversarial Framework for (non-) Parametric Image Stylisation Mosaics
Adversarial Framework for (non-) Parametric Image Stylisation Mosaics

Fully Adversarial Mosaics (FAMOS) Pytorch implementation of the paper "Copy the Old or Paint Anew? An Adversarial Framework for (non-) Parametric Imag

This python-based package offers a way of creating a parametric OpenMC plasma source from plasma parameters.
This python-based package offers a way of creating a parametric OpenMC plasma source from plasma parameters.

openmc-plasma-source This python-based package offers a way of creating a parametric OpenMC plasma source from plasma parameters. The OpenMC sources a

pytorch implementation of
pytorch implementation of "Contrastive Multiview Coding", "Momentum Contrast for Unsupervised Visual Representation Learning", and "Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination"

Unofficial implementation: MoCo: Momentum Contrast for Unsupervised Visual Representation Learning (Paper) InsDis: Unsupervised Feature Learning via N

A non-linear, non-parametric Machine Learning method capable of modeling complex datasets
A non-linear, non-parametric Machine Learning method capable of modeling complex datasets

Fast Symbolic Regression Symbolic Regression is a non-linear, non-parametric Machine Learning method capable of modeling complex data sets. fastsr aim

JumpDiff: Non-parametric estimator for Jump-diffusion processes for Python
JumpDiff: Non-parametric estimator for Jump-diffusion processes for Python

jumpdiff jumpdiff is a python library with non-parametric Nadaraya─Watson estimators to extract the parameters of jump-diffusion processes. With jumpd

This repository contains a pytorch implementation of
This repository contains a pytorch implementation of "HeadNeRF: A Real-time NeRF-based Parametric Head Model (CVPR 2022)".

HeadNeRF: A Real-time NeRF-based Parametric Head Model This repository contains a pytorch implementation of "HeadNeRF: A Real-time NeRF-based Parametr

Owner
Ayoub EL HOUDRI
Ayoub EL HOUDRI
cqMore is a CadQuery plugin based on CadQuery 2.1.

cqMore (under construction) cqMore is a CadQuery plugin based on CadQuery 2.1. Installation Please use conda to install CadQuery and its dependencies

Justin Lin 36 Dec 21, 2022
A parametric soroban written with CADQuery.

A parametric soroban written in CADQuery The purpose of this project is to demonstrate how "code CAD" can be intuitive to learn. See soroban.py for a

Lee 4 Aug 13, 2022
A friendly library for parsing HTTP request arguments, with built-in support for popular web frameworks, including Flask, Django, Bottle, Tornado, Pyramid, webapp2, Falcon, and aiohttp.

webargs Homepage: https://webargs.readthedocs.io/ webargs is a Python library for parsing and validating HTTP request objects, with built-in support f

marshmallow-code 1.3k Jan 1, 2023
bottle.py is a fast and simple micro-framework for python web-applications.

Bottle: Python Web Framework Bottle is a fast, simple and lightweight WSGI micro web-framework for Python. It is distributed as a single file module a

Bottle Micro Web Framework 7.8k Dec 31, 2022
Assembly example for CadQuery

Spindle and vacuum attachment This is a model of the vacuum attachment for my Workbee CNC router. There is a mist spray coming from the left hand side

Marcus Boyd 20 Sep 16, 2022
Framework to make using Bottle less time-consuming and easier

A class for the Bottle API to reduce clutter and difficulty while creating a website.

Tygzy 0 Dec 26, 2022
This is the official source code of FreeCAD, a free and opensource multiplatform 3D parametric modeler.

Freedom to build what you want FreeCAD is an open-source parametric 3D modeler made primarily to design real-life objects of any size. Parametric modeling allows you to easily modify your design by going back into your model history to change its parameters.

FreeCAD 12.9k Jan 7, 2023
Adversarial Framework for (non-) Parametric Image Stylisation Mosaics

Fully Adversarial Mosaics (FAMOS) Pytorch implementation of the paper "Copy the Old or Paint Anew? An Adversarial Framework for (non-) Parametric Imag

Zalando Research 120 Dec 24, 2022
The personal repository of the work: *DanceNet3D: Music Based Dance Generation with Parametric Motion Transformer*.

DanceNet3D The personal repository of the work: DanceNet3D: Music Based Dance Generation with Parametric Motion Transformer. Dataset and Results Pleas

南嘉Nanga 36 Dec 21, 2022
Official implementation of NPMs: Neural Parametric Models for 3D Deformable Shapes - ICCV 2021

NPMs: Neural Parametric Models Project Page | Paper | ArXiv | Video NPMs: Neural Parametric Models for 3D Deformable Shapes Pablo Palafox, Aljaz Bozic

PabloPalafox 109 Nov 22, 2022