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yehua 75b63d3367 | 11 months ago | |
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models | 1 year ago | |
test | 1 year ago | |
.gitignore | 1 year ago | |
400_iter_19762.pth.ckpt | 11 months ago | |
800_iter_19762.pth.ckpt | 11 months ago | |
1500_iter_19762.pth.ckpt | 11 months ago | |
3000_iter_19844.pth.ckpt | 11 months ago | |
LICENSE | 1 year ago | |
Meter.py | 1 year ago | |
README.md | 1 year ago | |
__init__.py | 1 year ago | |
datasets.py | 1 year ago | |
e2e_gdn_mindspore_lambda400.csv | 11 months ago | |
e2e_gdn_mindspore_lambda800.csv | 11 months ago | |
e2e_gdn_mindspore_lambda1500.csv | 11 months ago | |
e2e_gdn_mindspore_lambda3000.csv | 11 months ago | |
e2e_pretrain.ckpt | 1 year ago | |
metric.py | 1 year ago | |
mindspore_eval.jpg | 1 year ago | |
model.py | 1 year ago | |
msssim.py | 1 year ago | |
sea.jpg | 1 year ago | |
test_ms-all.py | 11 months ago | |
test_ms.py | 11 months ago | |
train.py | 1 year ago |
CUDA_VISIBLE_DEVICES=0 python train.py --config examples/example/config.json -n baseline
We need to first prepare the training and validation data.
The trainging data is from flicker.com.
You can obtain the training data according to description of CompressionData
The training details is similar to our another repo compression
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Python CSV Shell
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