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import cv2
import warnings
import numpy as np
from pathlib import Path
from hloc import logger
from common.utils import (
get_matcher_zoo,
load_config,
device,
ROOT,
)
from common.api import ImageMatchingAPI
def test_all(config: dict = None):
img_path1 = ROOT / "datasets/sacre_coeur/mapping/02928139_3448003521.jpg"
img_path2 = ROOT / "datasets/sacre_coeur/mapping/17295357_9106075285.jpg"
image0 = cv2.imread(str(img_path1))[:, :, ::-1] # RGB
image1 = cv2.imread(str(img_path2))[:, :, ::-1] # RGB
matcher_zoo_restored = get_matcher_zoo(config["matcher_zoo"])
for k, v in matcher_zoo_restored.items():
if image0 is None or image1 is None:
logger.error("Error: No images found! Please upload two images.")
enable = config["matcher_zoo"][k].get("enable", True)
if enable:
logger.info(f"Testing {k} ...")
api = ImageMatchingAPI(conf=v, device=device)
api(image0, image1)
log_path = ROOT / "experiments" / "all"
log_path.mkdir(exist_ok=True, parents=True)
api.visualize(log_path=log_path)
else:
logger.info(f"Skipping {k} ...")
def test_one():
img_path1 = ROOT / "datasets/sacre_coeur/mapping/02928139_3448003521.jpg"
img_path2 = ROOT / "datasets/sacre_coeur/mapping/17295357_9106075285.jpg"
image0 = cv2.imread(str(img_path1))[:, :, ::-1] # RGB
image1 = cv2.imread(str(img_path2))[:, :, ::-1] # RGB
conf = {
"matcher": {
"output": "matches-omniglue",
"model": {
"name": "omniglue",
"match_threshold": 0.2,
"features": "null",
},
"preprocessing": {
"grayscale": False,
"resize_max": 1024,
"dfactor": 8,
"force_resize": False,
},
},
"dense": True,
}
api = ImageMatchingAPI(conf=conf, device=device)
api(image0, image1)
log_path = ROOT / "experiments" / "one"
log_path.mkdir(exist_ok=True, parents=True)
api.visualize(log_path=log_path)
if __name__ == "__main__":
import argparse
config = load_config(ROOT / "common/config.yaml")
test_one()
test_all(config)
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