文件名称:espcn的matlab代码-SuperResolution:超分辨率SuperResolution
文件大小:152.78MB
文件格式:ZIP
更新时间:2024-07-06 12:56:29
系统开源
espcn的matlab代码 SuperResolution 超分辨率SuperResolution via Deep Learning List Of Paper: SRCNN FSRCNN ESPCN VDSR(Editing) SRGAN(Editing) Supervisor: WeiZhang Student: ZhijuePeng School: NEU (东北大学) Code:python & matlab Relevant library : OpenCV2 for python numpy matplotlib tensorflow keras Pytorch
【文件预览】:
SuperResolution-master
----.gitignore(1KB)
----SRCNN_one channel_create_data.ipynb(5KB)
----ESPCN_train_data.h5(18.9MB)
----FSRCNN_train_data.h5(16.75MB)
----SRCNN_training.ipynb(9KB)
----FSRCNN_training_data.ipynb(205KB)
----Train.7z(10.99MB)
----Local Self-example.py(2KB)
----Interpolation-Bilinear.py(956B)
----Papers()
--------字典学习()
--------深度学习()
--------0(1B)
--------频域or空域()
--------插值()
----README.md(463B)
----Interpolation-Nearest.py(564B)
----SRCNN_Ycrcb()
--------Train_and_Predict(5KB)
--------Create_TrainandTest_h5.py(5KB)
----FSRCNN_test_data.h5(12.13MB)
----WDSR()
--------model()
--------common_utils.py(7KB)
--------wdsr_train_alibb.py(5KB)
--------my_model_train.py(4KB)
--------config.py(3KB)
--------WDSR_test_all.py(2KB)
--------1(1B)
----ESPCN_test_data.h5(13.51MB)
----FSRCNN_create_data.ipynb(6KB)
----FSRCNN.pkl(68KB)
----ohno.jpg(110KB)
----ESPCN_create_data.ipynb(6KB)
----ESPCN.pkl(237KB)
----ESPCN_training_data.ipynb(239KB)
----Test.7z(5.26MB)
----FSRNN_epoch20.jpg(164KB)
----mengqinhua.py(1KB)
----SaveModel()
--------1(1B)