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swin2mose: runnable version
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import benchmark
import matplotlib.pyplot as plt
import opensr_test
from utils import load_swin2_mose, load_config, run_swin2_mose
path = 'swin2_mose/weights/config-70.yml'
model_weights = "swin2_mose/weights/model-70.pt"
index = 2
# load config
cfg = load_config(path)
# load model
model = load_swin2_mose(model_weights, cfg)
# load the dataset
dataset = opensr_test.load("venus")
lr_dataset, hr_dataset = dataset["L2A"], dataset["HRharm"]
results = run_swin2_mose(model, lr_dataset[index], hr_dataset[index])
# Display the results
fig, ax = plt.subplots(1, 3, figsize=(10, 5))
ax[0].imshow(results['lr'].numpy().transpose(1, 2, 0)/3000)
ax[0].set_title("LR")
ax[0].axis("off")
ax[1].imshow(results["sr"].detach().numpy().transpose(1, 2, 0)/3000)
ax[1].set_title("SR")
ax[1].axis("off")
ax[2].imshow(results['hr'].numpy().transpose(1, 2, 0) / 3000)
ax[2].set_title("HR")
# plt.show()
# Run the experiment
benchmark.create_geotiff(model, run_swin2_mose, "all", "swin2mose/")