Top 5 densenet Open-Source Projects
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ImageAI
A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities
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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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cnn-watermark-removal
Fully convolutional deep neural network to remove transparent overlays from images
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ptctrn
Legacy repo for the Artificial Intelligence capable of patacón recognition (Now on HuggingFace)
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
Hi. I want to implement an image server similar to Photoprism using ImageAI to tag images based on objects and context. However I don't want to spend to much time working on the frontend, at first I were thinking about using Danbooru and use Flexbooru or the web interface on my phone. But it doesn't have any encryption or password protection (since the purpose of it is to be used as a public image board).
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: Help Needed: Converting PlantNet-300k Pretrained Model Weights from Tar to h5 Format Help | /r/learnpython | 2023-06-09It's almost certainly a pickled pytorch model so you will first need to load it using pytorch and then write it out to h5 (legacy keras format) with https://github.com/gmalivenko/pytorch2keras.
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Index
What are some of the best open-source densenet projects? This list will help you:
Project | Stars | |
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1 | ImageAI | 8,383 |
2 | segmentation_models | 4,597 |
3 | cnn-watermark-removal | 1,216 |
4 | pytorch2keras | 846 |
5 | ptctrn | 11 |