deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
Learn to classify and detect objects in images using deep learning techniques with video tutorials and example projects.
From the README
- EfficientNetV2 (已完成)
- EfficientNetV2网络讲解
- 使用Pytorch搭建EfficientNetV2
- 使用Tensorflow搭建EfficientNetV2
Excerpts from the project README on GitHub. Copyright and licensing remain with the respective authors.
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deep-learning-for-image-processing has 26.3k stars on GitHub. It has been forked 8.2k times. deep-learning-for-image-processing is written mainly in Python. It has been in active development since 2019. deep-learning-for-image-processing is available under the GPL-3.0 license. Its main topics are bilibili, classification, deep-learning, object-detection.
What is deep-learning-for-image-processing?
deep learning for image processing including classification and object-detection etc.
Is deep-learning-for-image-processing open source?
deep-learning-for-image-processing is an open-source project. It is released under the GPL-3.0 license.
Is deep-learning-for-image-processing free?
Yes. deep-learning-for-image-processing is free and open source — you can use, modify and self-host it. Its GPL-3.0 license is copyleft: if you distribute a modified version, it must remain under the same license.
What license does deep-learning-for-image-processing use?
deep-learning-for-image-processing is available under the GPL-3.0 license.
What language is deep-learning-for-image-processing written in?
deep-learning-for-image-processing is written mainly in Python.
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