jpeg2dct
直接来自JPEG的更快的神经网络:jpeg2dct子例程 该存储库包含源代码,这些源代码可用于再现 (ICLR workshop 2018)中提出的结果: @inproceedings{gueguen_2018_ICLR title={Faster Neural Networks Straight from JPEG}, author={Lionel Gueguen and Alex Sergeev and Ben Kadlec and Rosanne Liu and Jason Yosinski}, booktitle={International Conference on Learning Representations}, year={2018} } jpeg2dct子例程 jpeg2dct库提供了本机Python函数和TensorFlow运算符,可从JPEG格式
文件列表
jpeg2dct-master.zip
(预估有个53文件)
jpeg2dct-master
.gitignore
76B
README.md
3KB
test
numpy
test_load.py
5KB
__init__.py
363B
tensorflow
test_decode.py
6KB
__init__.py
362B
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