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Search results for machine learning blender
blender
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machine-learning
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10 search results found
Deepbump
⭐
480
Normal & height maps generation from single pictures
Zpy
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210
Synthetic data for computer vision. An open source toolkit using Blender and Python.
Depthmap_dataset
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126
Python Blender script to generate random scene, depth map and corresponding Stereo images for machine learning.
Beat Blender
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124
Blend beats using machine learning to create music in a fun new way.
Automask
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64
Automatic Rotoscoping/Masking tool powered with Machine Learning for Blender (WIP)
Ai_upscaler_for_blender
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50
AI Upscaler for Blender using Real-ESRGAN
Cozy Auto Texture
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45
A Blender add-on for generating free textures using the Stable Diffusion AI text to image model.
100daysofmlcode
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25
This repository will be the journal for 100DaysOfMLCode pledge started by Siraj.
Towards Explainable Ai System For Traffic Sign Recognition And Deployment In A Simulated Environment
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15
This project is part of the CS course 'Systems Engineering Meets Life Sciences I' at Goethe University Frankfurt. In this Computer Vision project, we present our first attempt at tackling the problem of traffic sign recognition using a systems engineering approach.
Numerai
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10
A baseline project for the numer.ai ML competition
Solvent
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7
AI-Assisted Texture Generation Toolkit in Blender
Blenderset Addon
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7
Blenderset is tool for creating synthetic training data using blender. It can be used to create random scenes consisting of a real background image, ontop of which random humans and vehicles models are rendered with random lighting. In addition to the rendered images, annotations are generated in form of pixelwise instance-segmentations and bounding boxes.
Subway Station Hazard Detection
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5
This project is part of the CS course 'Systems Engineering Meets Life Sciences II' at Goethe University Frankfurt. In this Computer Vision project, we developed a first prototype of a security system which uses the surveillance cameras at subway stations to recognize dangerous situations. The training data was artificially generated by a Unity-based simulation.
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