flying-guide-dog VS deepvision

Compare flying-guide-dog vs deepvision and see what are their differences.

flying-guide-dog

Official implementation of "Flying Guide Dog: Walkable Path Discovery for the Visually Impaired Utilizing Drones and Transformer-based Semantic Segmentation", IEEE ROBIO 2021 (by EckoTan0804)

deepvision

PyTorch and TensorFlow/Keras image models with automatic weight conversions and equal API/implementations - Vision Transformer (ViT), ResNetV2, EfficientNetV2, NeRF, SegFormer, MixTransformer, (planned...) DeepLabV3+, ConvNeXtV2, YOLO, etc. (by DavidLandup0)
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flying-guide-dog deepvision
1 1
12 30
- -
0.0 5.1
about 2 years ago 10 months ago
Python Python
- Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

flying-guide-dog

Posts with mentions or reviews of flying-guide-dog. We have used some of these posts to build our list of alternatives and similar projects.

deepvision

Posts with mentions or reviews of deepvision. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing flying-guide-dog and deepvision you can also consider the following projects:

Entity - EntitySeg Toolbox: Towards Open-World and High-Quality Image Segmentation

pytorch2keras - PyTorch to Keras model convertor

MOBA-Minimap-Awareness-Trainer - Minimap eye-tracking enabled tool improves map awareness in League of Legends (lol), Dota 2, Valorant, and more MOBA PC games

awesome-modular-pytorch-lightning - LightCollections⚡️: Ready-to-use implementations such as `LightningModules` for various computer vision papers.

SHREC2023-ANIMAR - Source codes of team TikTorch (1st place solution) for track 2 and 3 of the SHREC2023 Challenge

Open3D-ML - An extension of Open3D to address 3D Machine Learning tasks

datasets - 🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

Efficient-AI-Backbones - Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.

dream-creator - Quickly and easily create / train a custom DeepDream model

pytorch-image-models - PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

pytorch-image-models - PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more [Moved to: https://github.com/huggingface/pytorch-image-models]

Stock-Prediction-Neural-Network-and-Machine-Learning-Examples - Examples of python neural net and ML stock prediction methods with sample stock data.