File size: 2,344 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 | """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}")
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