{
  "title": "Practice",
  "total": 2,
  "posts": [
    {
      "title": "Practice: CPU-Only Image Inpainting — Three Models Benchmarked: LaMa / MI-GAN / Telea Selection and Engineering Details",
      "url": "/en/posts/practice-erase-cpu-benchmark/",
      "permalink": "https://hackcv.com/en/posts/practice-erase-cpu-benchmark/",
      "date": "2026-08-23",
      "author": "hackcv",
      "description": "Real measurements on an Intel Mac with pure CPU + ONNX Runtime: LaMa/MI-GAN/Telea speed characteristics, crop-vs-resize strategy, mask dilation/feathering, and a three-tier selection matrix.",
      "categories": ["Research Brief"],
      "tags": ["AI","Image Inpainting","ONNX Runtime","LaMa","MI-GAN","Practice"],
      "cover": "https://picsum.photos/seed/practice-cpu-only-image-inpainting-three-models-benchmarked-lama-/-mi-gan-/-telea-selection-and-engineering-details/1200/675",
      "readingTime": 3
    },
    {
      "title": "Practice: Text \u0026 Mosaic Auto-Erase + Enhancement — a Full Image Pipeline on CPU",
      "url": "/en/posts/practice-erase-text-mosaic/",
      "permalink": "https://hackcv.com/en/posts/practice-erase-text-mosaic/",
      "date": "2026-08-23",
      "author": "hackcv",
      "description": "PP-OCRv4 DBNet text detection + pure-CV mosaic detection + multi-source mask OR-merging + LaMa inpainting, then an optional analyze→repair→upscale→refine four-stage enhancer — all CPU; includes real color-fidelity debugging notes.",
      "categories": ["Research Brief"],
      "tags": ["AI","OCR","Image Inpainting","PP-OCRv4","Mosaic Detection","Practice"],
      "cover": "https://picsum.photos/seed/practice-text-mosaic-auto-erase-\u0026#43;-enhancement-a-full-image-pipeline-on-cpu/1200/675",
      "readingTime": 3
    }
  ]
}