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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>
33 lines
1.1 KiB
Python
33 lines
1.1 KiB
Python
import onnx
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def check_onnx_num_classes(onnx_path):
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model = onnx.load(onnx_path)
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graph = model.graph
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print(f"📂 模型路徑: {onnx_path}")
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print(f"📦 輸出節點總數: {len(graph.output)}")
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for output in graph.output:
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name = output.name
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shape = []
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for dim in output.type.tensor_type.shape.dim:
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if dim.dim_param:
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shape.append(dim.dim_param)
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else:
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shape.append(dim.dim_value)
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print(f"🔎 輸出節點名稱: {name}")
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print(f" 輸出形狀: {shape}")
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if len(shape) == 4:
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num_classes = shape[1]
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print(f"✅ 偵測到類別數: {num_classes}")
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if num_classes == 19:
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print("⚠️ 這是 Cityscapes 預設模型 (19 類)")
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elif num_classes == 4:
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print("✅ 這是你訓練的 GolfDataset 模型 (4 類)")
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else:
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print("❓ 類別數未知，請確認是否正確訓練/轉換模型")
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if __name__ == '__main__':
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onnx_path = r'C:\Users\rd_de\kneronstdc\work_dirs\meconfig\latest.onnx'
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check_onnx_num_classes(onnx_path)
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