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Vandermode · Jun 7, 2019 · 6908b8c · 6908b8c
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+.vscode
+*.pyc
+*.pth
+__pycache__
+checkpoints
+result
+runs
+.ssh*
+.rsyncignore
+bak
+*.zip
+hsi_denoising_complex.py
+hsi_denoising_gauss.py
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+# QRNN3D
+
+The implementation of "3D Quasi-Recurrent Neural Network for Hyperspectral Image Denoising" (only testing code is available now)
+
+## Prerequisites
+* Python >=3.5, PyTorch >= 0.4.1
+* Requirements: opencv-python, tensorboardX, caffe
+* Platforms: Ubuntu 16.04, cuda-8.0
+
+
+## Quick Start
+
+### 1. Preparing your training/testing datasets
+
+#### Training dataset
+
+#### Testing dataset
+
+
+### 2. Playing with QRNN3D
+
+#### Testing
+
+
+#### Training
+
+
+### 3. Define your own network
+
+
+## Citation
+
+
+## Acknowledgments