Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning
lama
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| Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning | lama | |
|---|---|---|
| 8 | 17 | |
| 57 | 7,165 | |
| - | 3.7% | |
| 3.6 | 5.4 | |
| about 3 years ago | 3 months ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | Apache License 2.0 |
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Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning
- Real-time Object Detection for Autonomous Driving using Deep Learning, Performance comparison of YOLO and Faster R-CNN based on the BDD100K dataset
- [P] Real-time Object Detection for Autonomous Driving using Deep Learning, Performance comparison of YOLO and Faster R-CNN on the BDD100K dataset, Goethe University Frankfurt Germany (Fall 2020)
- Real-time Object Detection for Autonomous Driving using Deep Learning, Performance comparison of YOLO and Faster R-CNN on the BDD100K dataset, Goethe University Frankfurt Germany (Fall 2020)
- Real-time Object Detection for Autonomous Driving using Deep Learning, Goethe University Frankfurt Germany (Fall 2020)
lama
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Can someone please help me with inpainting settings to remove the subject from this image? I want to rebuild as much of the original background as possible.
You could try to use ControlNet inpaint+lama locally, but results aren't as good in my experience. Or you could try local install of lama directly, but the setup process isn't very smooth.
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[D] Which open source models can replicate wonder dynamics's drag'n'drop cg characters?
You may be able to remove the actor with lama. https://github.com/advimman/lama
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ControlNet Update: [1.1.222] Preprocessor: inpaint_only+lama
LaMa: Resolution-robust Large Mask Inpainting with Fourier Convolutions (Apache-2.0 license) Roman Suvorov, Elizaveta Logacheva, Anton Mashikhin, Anastasia Remizova, Arsenii Ashukha, Aleksei Silvestrov, Naejin Kong, Harshith Goka, Kiwoong Park, Victor Lempitsky (Samsung Research and EPFL)
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[Inpainting] [Q] Want to remove a person/ group of people from an image.
You could try using LaMA: https://github.com/saic-mdal/lama .
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[task] Python developer for two tasks, one 30$ the other 50$
Task 1: 30$ Write a script to prepare data for https://github.com/saic-mdal/lama. You should be able to prove on video that your script works properly after i give you some data and you train and there's some acceptable output (not perfect, since i know how ml works).
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Research Topics for Master/PHD
I have some interest in image inpainting, but the recent paper introduced by Samsung - https://github.com/saic-mdal/lama seems like it reached a stage where there isn't much room that we can add for novelty. I am quite interested but not confident if I can come up with a novel idea that can do better than the proposed model, especially if they trained the model on multiple GPUs for days, which is something that I don't have.
- The Black Hole Photographs: Censored Images from America’s Great Depression
- Image inpainting tool powered by LaMa
- Resolution-Robust Large Mask Inpainting with Fourier Convolutions
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[D] Paper Explained - Resolution-robust Large Mask Inpainting with Fourier Convolutions (w/ Author Interview)
Code: https://github.com/saic-mdal/lama
What are some alternatives?
get-started-with-JAX - The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series of tutorials (YouTube videos and Jupyter Notebooks) as well as the content I found useful while learning about the JAX ecosystem.
IOPaint - Image inpainting tool powered by SOTA AI Model. Remove any unwanted object, defect, people from your pictures or erase and replace(powered by stable diffusion) any thing on your pictures.
yolo-tf2 - yolo(all versions) implementation in keras and tensorflow 2.x
Torrent-To-Google-Drive-Downloader-v3 - Simple notebook to stream torrent files to Google Drive using Google Colab and python3.
HugsVision - HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision
strv-ml-mask2face - Virtually remove a face mask to see what a person looks like underneath
simple-faster-rcnn-pytorch - A simplified implemention of Faster R-CNN that replicate performance from origin paper
cleanup.pictures - Code for https://cleanup.pictures
NYU-DLSP20 - NYU Deep Learning Spring 2020
Colab-Crypto-Mining - Cryptocurrency Mining Experiments on Google CoLab Notebooks
Mask-RCNN-Implementation - Mask RCNN Implementation on Custom Data(Labelme)
dl-colab-notebooks - Try out deep learning models online on Google Colab