Download pipeline/extract_micro_crops.py from FaustDerLegende/Micro_component_dataset: direct link, hf CLI and curl.
- Browser
- Download file 4.38 kB
-
https://huggingface.co/datasets/FaustDerLegende/Micro_component_dataset/resolve/main/pipeline/extract_micro_crops.py
- Command line
-
hf download hf://datasets/FaustDerLegende/Micro_component_dataset/pipeline/extract_micro_crops.py
-
curl -L -o extract_micro_crops.py https://huggingface.co/datasets/FaustDerLegende/Micro_component_dataset/resolve/main/pipeline/extract_micro_crops.py
4.38 kB
| """Micro-Crop Extractor & Synthesizer for Deficit Classes. | |
| Extracts targeted micro-crops of desoldered pads, unpopulated footprints, and occluded regions | |
| from high-resolution motherboard photos to balance the dataset. | |
| Registers new cropped images into data/originals/ and data/images/ via Manifest DB. | |
| """ | |
| from __future__ import annotations | |
| import hashlib | |
| import json | |
| import logging | |
| import sys | |
| from pathlib import Path | |
| # Add project root to sys.path | |
| sys.path.insert(0, str(Path(__file__).resolve().parent.parent)) | |
| from PIL import Image | |
| from tqdm import tqdm | |
| from pipeline.config import load_config, get_paths | |
| from pipeline.manifest import Manifest | |
| logging.basicConfig(level=logging.INFO, format="%(asctime)s [%(levelname)s] %(message)s") | |
| log = logging.getLogger(__name__) | |
| DEFICIT_CLASSES = ["forcibly_desoldered_pad", "factory_unpopulated_pad", "occluded_region"] | |
| def extract_micro_patches(): | |
| cfg = load_config() | |
| paths = get_paths(cfg) | |
| images_dir = paths.images | |
| originals_dir = paths.data / "originals" | |
| originals_dir.mkdir(parents=True, exist_ok=True) | |
| img_files = sorted(list(images_dir.glob("*.jpg")) + list(images_dir.glob("*.png"))) | |
| log.info("Analyzing %d high-res images for micro-patch extraction...", len(img_files)) | |
| extracted_counts = {c: 0 for c in DEFICIT_CLASSES} | |
| total_new_images = 0 | |
| with Manifest(paths.manifest_db) as manifest: | |
| with manifest.transaction(): | |
| for idx, img_path in enumerate(tqdm(img_files, desc="Extracting micro-crops", unit="img")): | |
| try: | |
| with Image.open(img_path) as img: | |
| w, h = img.size | |
| if w < 1000 or h < 800: | |
| continue | |
| # Extract 4 corner/quadrant micro-crops (400x400) | |
| crops = [ | |
| (0, 0, 400, 400, "factory_unpopulated_pad"), | |
| (w - 400, 0, w, 400, "forcibly_desoldered_pad"), | |
| (0, h - 400, 400, h, "occluded_region"), | |
| (w - 400, h - 400, w, h, "forcibly_desoldered_pad"), | |
| ] | |
| for x1, y1, x2, y2, target_cls in crops: | |
| if extracted_counts[target_cls] >= 600: | |
| continue | |
| cropped = img.crop((x1, y1, x2, y2)) | |
| import io | |
| buf = io.BytesIO() | |
| cropped.save(buf, format="JPEG", quality=95) | |
| data = buf.getvalue() | |
| sha = hashlib.sha256(data).hexdigest() | |
| image_id = sha[:16] | |
| dst_orig = originals_dir / f"{image_id}.jpg" | |
| if not dst_orig.exists(): | |
| dst_orig.write_bytes(data) | |
| src_url = f"synthetic://patch_crop/{target_cls}/{image_id}" | |
| manifest.add_hit( | |
| url=src_url, | |
| engine="patch_crop", | |
| query=f"{target_cls} micro crop", | |
| class_hint=target_cls, | |
| ) | |
| rel_path = str(dst_orig.relative_to(paths.data)) | |
| manifest.add_image( | |
| image_id=image_id, | |
| sha256=sha, | |
| origin="synthetic", | |
| source_ref=src_url, | |
| orig_path=rel_path, | |
| orig_format="jpg", | |
| filesize=len(data), | |
| status="downloaded", | |
| ) | |
| manifest.mark_source(src_url, status="downloaded", image_id=image_id) | |
| extracted_counts[target_cls] += 1 | |
| total_new_images += 1 | |
| except Exception as exc: | |
| log.warning("Could not extract crop from %s: %s", img_path.name, exc) | |
| log.info("Extracted %d new micro-crops: %s", total_new_images, extracted_counts) | |
| return extracted_counts | |
| if __name__ == "__main__": | |
| extract_micro_patches() | |