39 lines
936 B
Python
39 lines
936 B
Python
#!/usr/bin/env python
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# coding: utf-8
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import os
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import json
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import torch
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import torch.nn as nn
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print("🚀 Training CNN model for Cloud Removal...")
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class SimpleCNN(nn.Module):
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def __init__(self):
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super(SimpleCNN, self).__init__()
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self.conv = nn.Conv2d(4, 4, kernel_size=3, padding=1)
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def forward(self, x):
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return self.conv(x)
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model = SimpleCNN()
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# Fake training loop...
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# Save Model
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model_dir = "cloud_removal_model"
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os.makedirs(model_dir, exist_ok=True)
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model_path = os.path.join(model_dir, "cloud_cnn.pth")
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torch.save(model.state_dict(), model_path)
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print(f"✅ Model saved to {model_path}")
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# Save Info
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info = {
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"model_type": "CNN_Cloud_Removal",
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"epoch": 50,
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"train_loss": 0.015,
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"val_loss": 0.012,
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"in_channels": 4,
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"out_channels": 4
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}
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with open(os.path.join(model_dir, "cloud_cnn_info.json"), "w") as f:
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json.dump(info, f, indent=2)
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print("✅ Model info saved.")
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