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import torch
import benchmark
import opensr_test
import matplotlib.pyplot as plt
from evoland.utils import load_evoland, run_evoland
# Load the model
model = load_evoland()
# Load the dataset
dataset = opensr_test.load("spot")
lr_dataset, hr_dataset = dataset["L2A"], dataset["HRharm"]
# Predict a image
results = run_evoland(
model=model,
lr=lr_dataset[4],
hr=hr_dataset[4]
)
# Display the results
fig, ax = plt.subplots(1, 3, figsize=(10, 5))
ax[0].imshow(results["lr"].transpose(1, 2, 0)/3000)
ax[0].set_title("LR")
ax[0].axis("off")
ax[1].imshow(results["sr"].transpose(1, 2, 0)/3000)
ax[1].set_title("SR")
ax[1].axis("off")
ax[2].imshow(results["hr"].transpose(1, 2, 0) / 3000)
ax[2].set_title("HR")
plt.show()
# Run the experiment
benchmark.create_geotiff(model, run_evoland, "all", "evoland/")
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