DeepCamera
thinc
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| DeepCamera | thinc | |
|---|---|---|
| 9 | 4 | |
| 1,702 | 2,790 | |
| 2.1% | 0.6% | |
| 2.3 | 6.9 | |
| 8 months ago | 10 days ago | |
| JavaScript | Python | |
| MIT License | 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.
DeepCamera
- Open-Source AI Camera
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Upgrade any camera/cctv to AI based intruder detection without monthly fee
Repo Link: https://github.com/SharpAI/DeepCamera
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Yolov7 Person recognition(REID) with Python
SharpAI yolov7_reid is an open source python application leverages AI technologies to detect intruder with traditional surveillance camera. Source code is hosted on github
- DeepCamera: Local inference engine, Home Assistant intrusion detection AI camera
- SharpAI Open Source intruder detection w Home-Assistant supports local deployment now
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New smart home project. Customer development stage.
For smart home, the best solution from open source community is Home-Assistant, 99% of home-assistant installation has camera integration. We open-sourced AI based intrusion detection with camera and integration with home-assistant: https://github.com/SharpAI/DeepCamera
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SharpAI open source camera based intrusion detection w/ Home-Assistant
7. How to deploy your own API server from source code
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SharpAI open source camera based intrusion detection w/ Home-Assistant integration
0. Register and Install sharpai-cli https://github.com/SharpAI/DeepCamera
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Private Home Security and AI
Shinobi + DeepCamera?
thinc
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JAX – NumPy on the CPU, GPU, and TPU, with great automatic differentiation
Agree, though I wouldn’t call PyTorch a drop-in for NumPy either. CuPy is the drop-in. Excepting some corner cases, you can use the same code for both. Thinc’s ops work with both NumPy and CuPy:
https://github.com/explosion/thinc/blob/master/thinc/backend...
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Tinygrad: A simple and powerful neural network framework
I love those tiny DNN frameworks, some examples that I studied in the past (I still use PyTorch for work related projects) :
thinc.by the creators of spaCy https://github.com/explosion/thinc
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good examples of functional-like python code that one can study?
thinc - defining neural nets in functional way jax, a new deep learning framework puts emphasis on functions rather than tensors, I've tested it for a couple of applications and it's really cool, you can write stuff like you'd write math expressions in papers using numpy. That speeds up development significantly, and makes code much more readable
- thinc - A refreshing functional take on deep learning, compatible with your favorite libraries
What are some alternatives?
frigate - NVR with realtime local object detection for IP cameras
quantulum3 - Library for unit extraction - fork of quantulum for python3
DeepStack - The World's Leading Cross Platform AI Engine for Edge Devices
jax - Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
insightface - State-of-the-art 2D and 3D Face Analysis Project
horovod - Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
deface - Video anonymization by face detection
extending-jax - Extending JAX with custom C++ and CUDA code
facenet - Face recognition using Tensorflow
dm-haiku - JAX-based neural network library
ailia-models - The collection of pre-trained, state-of-the-art AI models for ailia SDK
AIF360 - A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.