stereo-image-generation
cnnimageretrieval-pytorch
stereo-image-generation | cnnimageretrieval-pytorch | |
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2 | 1 | |
33 | 1,375 | |
- | - | |
10.0 | 3.2 | |
over 1 year ago | almost 2 years ago | |
Python | Python | |
- | MIT License |
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stereo-image-generation
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I have a Rokid Air and am looking for suggestions as to how to include it in a HS classroom.
In context computer science class, for example, you may consider familiarizing students with generating stereo SBS image based on images of their choosing, perhaps using stable-diffusion-webui-depthmap-script (works in A1111 UI), or to keep things more focused https://github.com/m5823779/stereo-image-generation (no UI, but very simple to use in command-line).
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3D side by side images (cross your eyes slowly until the images superimpose and you will see in 3D)
I started from that repository but it didn't work and had to rework a lot of what was there to make it better and more optimized. I can't share my code ATM because it's in draft-state (meaning : horrible mess) and I'm still working a lot on it but I couldn't resist to share a few of my results!
cnnimageretrieval-pytorch
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[R] Any Content Based Image Retrieval Pretrained Models?
https://github.com/filipradenovic/cnnimageretrieval-pytorch is still probably the best one that is public.
What are some alternatives?
SincNet - SincNet is a neural architecture for efficiently processing raw audio samples.
edge-connect - EdgeConnect: Structure Guided Image Inpainting using Edge Prediction, ICCV 2019 https://arxiv.org/abs/1901.00212
dnn_from_scratch - A high level deep learning library for Convolutional Neural Networks,GANs and more, made from scratch(numpy/cupy implementation).
merged_depth - Monocular Depth Estimation - Weighted-average prediction from multiple pre-trained depth estimation models
TorchGA - Train PyTorch Models using the Genetic Algorithm with PyGAD
EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
DOLG-pytorch - Unofficial PyTorch Implementation of "DOLG: Single-Stage Image Retrieval with Deep Orthogonal Fusion of Local and Global Features"
calibrated-backprojection-network - PyTorch Implementation of Unsupervised Depth Completion with Calibrated Backprojection Layers (ORAL, ICCV 2021)
style-transfer-app - An asynchronous dual application (web + Telegram bot) for stylization images.
SparK - [ICLR'23 Spotlightš„] The first successful BERT/MAE-style pretraining on any convolutional network; Pytorch impl. of "Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling"