ImageToSTL
lambda-packs
ImageToSTL | lambda-packs | |
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4 | 1 | |
121 | 1,106 | |
- | - | |
10.0 | 4.0 | |
over 1 year ago | 6 months ago | |
Python | Python | |
MIT License | MIT License |
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ImageToSTL
- My 1st pic to 3D Print
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Made a generator of these, more in comments.
Here's this specific one. I also made a very simple to use tool on GitHub to generate your own model with any image you want.
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I printed a rocky surface.
hey it's done here
lambda-packs
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Using TensorFlow and the Serverless Framework for deep learning and image recognition
As a hobby, I port a lot of libraries to make the serverless friendly. You can look at them here. They all have an MIT license, so feel free to modify and use them for your project.
What are some alternatives?
pic3d - Create a surface that shows an image when illuminated.
equilib - 🌎→🗾Equirectangular (360/panoramic) image processing library for Python with minimal dependencies only using Numpy and PyTorch
thinc - 🔮 A refreshing functional take on deep learning, compatible with your favorite libraries
data-science-ipython-notebooks - Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
mars - Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
einops - Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
Photomosaic-Creator - This script allows you to create a photomosaic from a set of images.
external_documentation_redirect - Python external documentation redirect for JetBrains IDEs
best-of-ml-python - 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
d2l-en - Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Pixelsorting - Pixelsorting!
CV-compare - Use **AI** to Compare the CV to the job description to beat the ATS (Applicant tracking systems) in order to higher your chances to get the job