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Top 4 fpn Open-Source Projects
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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SegmentationCpp
A c++ trainable semantic segmentation library based on libtorch (pytorch c++). Backbone: VGG, ResNet, ResNext. Architecture: FPN, U-Net, PAN, LinkNet, PSPNet, DeepLab-V3, DeepLab-V3+ by now.
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Comparsion_Segmentation_models
Brief comparison of segmentation models. Trained on Collab, served using Fast-API, streamlit and dockerized.
Project mention: Instance segmentation of small objects in grainy drone imagery | /r/computervision | 2023-12-09Also, I’d suggest considering switching to the segmentation-models library - it provides U-Net models with a variety of pretrained backbones of as encoders. The author also put out a PyTorch version. https://github.com/qubvel/segmentation_models.pytorch https://github.com/qubvel/segmentation_models
Project mention: Instance segmentation of small objects in grainy drone imagery | /r/computervision | 2023-12-09Also, I’d suggest considering switching to the segmentation-models library - it provides U-Net models with a variety of pretrained backbones of as encoders. The author also put out a PyTorch version. https://github.com/qubvel/segmentation_models.pytorch https://github.com/qubvel/segmentation_models
fpn related posts
- Instance segmentation of small objects in grainy drone imagery
- segmentation-models No module Error
- recommendations for semantic segmentation of lowish volumes of biomedical images
- Can we use autoencoders to change an existing image instead of create one from scratch?
- Anyone implemented latest image segmentation models/tuning from cvpr 2021?
- Semantic Segmentation
- Show HN: A C++ Trainable DCNN Library for Semantic Segmentation
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A note from our sponsor - WorkOS
workos.com | 26 Apr 2024
Index
What are some of the best open-source fpn projects? This list will help you:
Project | Stars | |
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1 | segmentation_models.pytorch | 8,800 |
2 | segmentation_models | 4,602 |
3 | SegmentationCpp | 402 |
4 | Comparsion_Segmentation_models | 5 |
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