최승미

Update README.md

...@@ -81,6 +81,7 @@ Code explanation ...@@ -81,6 +81,7 @@ Code explanation
81 | ├── codec_proposed.py 81 | ├── codec_proposed.py
82 | ├── codec_anotherMethod.py 82 | ├── codec_anotherMethod.py
83 | ├── train_RGB.py 83 | ├── train_RGB.py
84 +| ├── train_RGB_MS-SSIMloss.py
84 | └── train_YCbCr.py 85 | └── train_YCbCr.py
85 ├── PostProcessing 86 ├── PostProcessing
86 | ├── get_BPP.m 87 | ├── get_BPP.m
...@@ -121,8 +122,9 @@ PostProcessing: HEVC 또는 VVC에서 Decoding된 영상(10bit, BGR)을 8it, RGB ...@@ -121,8 +122,9 @@ PostProcessing: HEVC 또는 VVC에서 Decoding된 영상(10bit, BGR)을 8it, RGB
121 codec_allIntra: ALL Intra Compression Codec 122 codec_allIntra: ALL Intra Compression Codec
122 codec_proposed: First Frame Intra Compression + Other Frame Residual(clip(recon-ref, -0.5, 0.5)+0.5) Compression Codec 123 codec_proposed: First Frame Intra Compression + Other Frame Residual(clip(recon-ref, -0.5, 0.5)+0.5) Compression Codec
123 codec_anotherMethod: First Frame Intra + Other Frame Residual1(clip(recon-ref, 0, 1)), Residual2(-clip(recon-ref, -1, 0)) Codec 124 codec_anotherMethod: First Frame Intra + Other Frame Residual1(clip(recon-ref, 0, 1)), Residual2(-clip(recon-ref, -1, 0)) Codec
124 -train_RGB.py: Training code of RGB 444 format residual image 125 +train_RGB.py: Training code of RGB 444 format residual image with MSE loss
125 -train_YCbCr.py: Training code of YCbCr 444 format residual image 126 +train_RGB_MS-SSIMloss.py: Training code of RGB 444 format residual image with MS-SSIM loss
127 +train_YCbCr.py: Training code of YCbCr 444 format residual image with MSE loss
126 128
127 명령어 129 명령어
128 ```python 130 ```python
...@@ -133,8 +135,8 @@ python [train name] -d [data path] --epochs [epochs] -lr [learning rate] -fr [fr ...@@ -133,8 +135,8 @@ python [train name] -d [data path] --epochs [epochs] -lr [learning rate] -fr [fr
133 ``` 135 ```
134 명령어 예시 136 명령어 예시
135 ```python 137 ```python
136 -python examples/codec-Copy2.py encode --model cheng2020-anchor -m mse -q 6 CrowdRun 138 +python examples/codec_proposed.py encode --model cheng2020-anchor -m mse -q 6 CrowdRun
137 ``` 139 ```
138 ```python 140 ```python
139 -python examples/mse_ycbcr.py -d Data/ --epochs 150 -lr 1e-4 -q 4 --batch-size 16 --cuda --save 141 +python examples/train_YCbCr.py -d Data/ --epochs 150 -lr 1e-4 -q 4 --batch-size 16 --cuda --save
140 ``` 142 ```
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