timm-flutter-pytorch-lite-blogpost
HugsVision
timm-flutter-pytorch-lite-blogpost | HugsVision | |
---|---|---|
7 | 1 | |
36 | 188 | |
- | - | |
2.4 | 0.0 | |
about 1 year ago | 9 months ago | |
Jupyter Notebook | Jupyter Notebook | |
- | MIT License |
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.
timm-flutter-pytorch-lite-blogpost
- how to deploy object detection and image classification model in flutter?
- PyTorch at the Edge: Deploy 964 TIMM Models on Android with TorchScript
-
PyTorch at the Edge: Deploying Over 964 TIMM Models on Android with TorchScript and Flutter.
Blog - https://dicksonneoh.com/portfolio/pytorch_at_the_edge_timm_torchscript_flutter/
-
PyTorch at the Edge: Deploying Over 964 TIMM Models on Android with TorchScript and Flutter
GitHub Repo - https://github.com/dnth/timm-flutter-pytorch-lite-blogpost
HugsVision
-
[R] HugsVision: A easy-to-use HuggingFace wrapper for computer vision
Find more tutorials and informations about HugsVision on GitHub
What are some alternatives?
EfficientConformer - [ASRU 2021] Efficient Conformer: Progressive Downsampling and Grouped Attention for Automatic Speech Recognition
poolformer - PoolFormer: MetaFormer Is Actually What You Need for Vision (CVPR 2022 Oral)
notebooks - Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.
Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning - My Computer Vision project from my Computer Vision Course (Fall 2020) at Goethe University Frankfurt, Germany. Performance comparison between state-of-the-art Object Detection algorithms YOLO and Faster R-CNN based on the Berkeley DeepDrive (BDD100K) Dataset.
infery-examples - A collection of demo-apps and inference scripts for various deep learning frameworks using infery (Python).
fashionpedia-api - Python API for Fashionpedia Dataset
seq_nms - PyTorch implementation of seq-nms
ganspace - Discovering Interpretable GAN Controls [NeurIPS 2020]
CoordConv
computervision-recipes - Best Practices, code samples, and documentation for Computer Vision.
Transformer-Explainability - [CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.