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2.34 kB
| """Test prompt variations for YOLO-World zero-shot detection to maximize recall on micro-components and desoldered pads.""" | |
| import os | |
| from pathlib import Path | |
| import torch | |
| from torchvision.ops import nms | |
| import numpy as np | |
| from PIL import Image | |
| cache_dir = Path("data/cache").resolve() | |
| cache_dir.mkdir(parents=True, exist_ok=True) | |
| os.environ["TORCH_HOME"] = str(cache_dir) | |
| os.environ["HF_HOME"] = str(cache_dir) | |
| from ultralytics import YOLOWorld | |
| CLASS_NAMES = [ | |
| "cpu_socket", | |
| "gold_finger", | |
| "ic_chip", | |
| "tantalum_capacitor", | |
| "forcibly_desoldered_pad", | |
| "factory_unpopulated_pad", | |
| "occluded_region", | |
| ] | |
| # Alternative prompt sets | |
| PROMPT_SETS = { | |
| "Original": [ | |
| "CPU socket", | |
| "gold finger edge connector", | |
| "microchip", | |
| "tantalum capacitor", | |
| "desoldered solder pad", | |
| "unpopulated solder pad", | |
| "heatsink shield", | |
| ], | |
| "Enriched_Visual": [ | |
| "CPU socket square slot", | |
| "gold edge connector pins", | |
| "black IC microchip", | |
| "yellow SMD capacitor", | |
| "empty desoldered solder footprint", | |
| "clean unpopulated solder pad", | |
| "metal heatsink shield cover", | |
| ], | |
| "Short_Direct": [ | |
| "processor socket", | |
| "gold edge contacts", | |
| "IC chip", | |
| "tantalum capacitor", | |
| "solder pad", | |
| "empty pad", | |
| "heatsink", | |
| ] | |
| } | |
| if __name__ == "__main__": | |
| images = sorted(list(Path("data/images").glob("*.jpg")))[:50] | |
| for set_name, prompts in PROMPT_SETS.items(): | |
| print(f"\n--- Testing Prompt Set: {set_name} ---") | |
| model = YOLOWorld("yolov8s-worldv2.pt") | |
| model.set_classes(prompts) | |
| counts = {name: 0 for name in CLASS_NAMES} | |
| total_boxes = 0 | |
| for img_path in images: | |
| results = model.predict(str(img_path), conf=0.015, verbose=False) | |
| if results and len(results) > 0 and results[0].boxes is not None: | |
| cls_ids = results[0].boxes.cls.cpu().numpy().astype(int) | |
| for cls_id in cls_ids: | |
| if 0 <= cls_id < len(CLASS_NAMES): | |
| counts[CLASS_NAMES[cls_id]] += 1 | |
| total_boxes += 1 | |
| print(f"Total boxes ({set_name}): {total_boxes}") | |
| for k, v in counts.items(): | |
| print(f" {k:25s}: {v}") | |