charlie880624
7716a0060f
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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>
87 lines
2.9 KiB
Python
87 lines
2.9 KiB
Python
import ktc
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import numpy as np
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import os
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import onnx
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import shutil
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from PIL import Image
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# === 1. 設定路徑與參數 ===
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onnx_dir = 'work_dirs/meconfig8/'
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onnx_path = os.path.join(onnx_dir, 'latest.onnx')
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data_path = "data724362"
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imgsz_w, imgsz_h = 724, 362 # STDC 預設解析度
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# === 2. 建立輸出資料夾 ===
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os.makedirs(onnx_dir, exist_ok=True)
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# === 3. 載入並優化 ONNX 模型 ===
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print("🔄 Loading and optimizing ONNX...")
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m = onnx.load(onnx_path)
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m = ktc.onnx_optimizer.onnx2onnx_flow(m)
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opt_onnx_path = os.path.join(onnx_dir, 'latest.opt.onnx')
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onnx.save(m, opt_onnx_path)
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# === 4. 設定 Kneron 模型編譯參數 ===
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print("📐 Configuring model...")
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km = ktc.ModelConfig(20008, "0001", "630", onnx_model=m)
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# （可選）模型效能評估
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eval_result = km.evaluate()
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print("\n📊 NPU Performance Evaluation:\n" + str(eval_result))
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# === 5. 準備圖片資料 ===
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print("🖼️ Preparing image data...")
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files_found = [f for _, _, files in os.walk(data_path)
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for f in files if f.lower().endswith((".jpg", ".jpeg", ".png", ".bmp"))]
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if not files_found:
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raise FileNotFoundError(f"❌ No images found in {data_path}!")
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print(f"✅ Found {len(files_found)} images in {data_path}")
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input_name = m.graph.input[0].name
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img_list = []
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for root, _, files in os.walk(data_path):
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for f in files:
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fullpath = os.path.join(root, f)
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if not f.lower().endswith((".jpg", ".jpeg", ".png", ".bmp")):
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continue
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try:
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img = Image.open(fullpath).convert("RGB")
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img = Image.fromarray(np.array(img)[..., ::-1]) # RGB ➝ BGR
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img_np = np.array(img.resize((imgsz_w, imgsz_h), Image.BILINEAR)).astype(np.float32)
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img_np = img_np / 256.0 - 0.5
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img_np = np.transpose(img_np, (2, 0, 1)) # HWC ➝ CHW
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img_np = np.expand_dims(img_np, axis=0) # CHW ➝ NCHW (加上 batch 維度)
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img_list.append(img_np)
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print(f"✅ Processed: {fullpath}")
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except Exception as e:
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print(f"❌ Failed to process {fullpath}: {e}")
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if not img_list:
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raise RuntimeError("❌ Error: No valid images were processed!")
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# === 6. BIE 量化分析 ===
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print("📦 Running fixed-point analysis...")
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bie_model_path = km.analysis({input_name: img_list})
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bie_save_path = os.path.join(onnx_dir, os.path.basename(bie_model_path))
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shutil.copy(bie_model_path, bie_save_path)
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if not os.path.exists(bie_save_path):
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raise RuntimeError("❌ Error: BIE model was not generated!")
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print("✅ BIE model saved to:", bie_save_path)
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# === 7. 編譯 NEF 模型 ===
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print("⚙️ Compiling NEF model...")
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nef_model_path = ktc.compile([km])
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nef_save_path = os.path.join(onnx_dir, os.path.basename(nef_model_path))
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shutil.copy(nef_model_path, nef_save_path)
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if not os.path.exists(nef_save_path):
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raise RuntimeError("❌ Error: NEF model was not generated!")
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print("✅ NEF compile done!")
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print("📁 NEF file saved to:", nef_save_path)
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