https://github.com/daleksla/dnn
Simple wrapper of OpenCV's deep neural network implementation
https://github.com/daleksla/dnn
Last synced: 2 days ago
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Simple wrapper of OpenCV's deep neural network implementation
- Host: GitHub
- URL: https://github.com/daleksla/dnn
- Owner: daleksla
- License: other
- Created: 2022-01-31T14:19:39.000Z (over 3 years ago)
- Default Branch: master
- Last Pushed: 2022-01-31T14:22:05.000Z (over 3 years ago)
- Last Synced: 2025-01-19T16:22:33.870Z (9 months ago)
- Language: C++
- Size: 5.86 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE.md
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README
# dnn
## README
Simple wrapper of [OpenCV](https://opencv.org)'s deep neural network implementation.
To process an image requires three steps:
1. Initialise NeuralNetwork object, supplying configuration file, weights file, computation backend and a computation target (latter two default to CUDA if no specified)
2. Call `process` method with a valid image
3. Call `detections` method to then retrieve a list of struct containing what object and where it was detected and the confidence of said detection.
***
See LICENSE.md for licensing details