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- Add golf1/2/4/7/8 dataset classes for semantic segmentation - Add kneron-specific configs (meconfig series, kn_stdc1_golf4class) - Organize scripts into tools/check/ and tools/kneron/ - Add kneron_preprocessing module - Update README with quick-start guide - Update .gitignore to exclude data dirs, onnx, nef outputs Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
30 lines
943 B
Python
30 lines
943 B
Python
import torch
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def check_num_classes_from_pth(pth_path):
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checkpoint = torch.load(pth_path, map_location='cpu')
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if 'state_dict' not in checkpoint:
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print("❌ 找不到 state_dict")
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return
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state_dict = checkpoint['state_dict']
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weight_key = 'decode_head.conv_seg.weight'
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if weight_key in state_dict:
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weight = state_dict[weight_key]
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num_classes = weight.shape[0]
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print(f"✅ 類別數: {num_classes}")
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if num_classes == 19:
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print("⚠️ 這是 Cityscapes 模型 (19 類)")
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elif num_classes == 4:
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print("✅ 這是 GolfDataset 模型 (4 類)")
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else:
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print("❓ 非常規類別數，請自行確認資料與 config")
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else:
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print(f"❌ 找不到分類層: {weight_key}")
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if __name__ == '__main__':
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pth_path = r'C:\Users\rd_de\kneronstdc\work_dirs\meconfig\latest.pth'
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check_num_classes_from_pth(pth_path)
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