File size: 4,380 Bytes
693bf28 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 | """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()
|