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There were more memes than anticipated.
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@ -12,7 +12,7 @@ import shared
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from model import Config, BradleyTerry
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meme_search_backend = "http://localhost:1707/"
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score_threshold = 1.5162627696990967
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score_threshold = 1.7264162302017212
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shared.db.executescript("""
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CREATE TABLE IF NOT EXISTS last_crawl (time INTEGER);
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@ -71,7 +71,8 @@ with torch.inference_mode():
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for filename, mscore in zip(filenames, mscores):
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ratings[filename] = float(mscore)
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print(sorted(ratings.values())[round(len(ratings) * 0.85)])
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print(sorted(ratings.values())[round(len(ratings) * 0.95)])
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print(f"{len(ratings)} memes in {crawl_start - last_crawl} seconds ({len(ratings) / (crawl_start - last_crawl) * 1e3}mHz)")
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files = dict(files)
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@ -2,5 +2,6 @@
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"clip_server": "http://100.64.0.10:1708/",
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"db_path": "data.sqlite3",
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"port": 1707,
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"files": "./images"
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"files": "./images",
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"no_run_server": true
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}
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