From 1e253f2b5b43685b927ce210696e5ceccf1a25a5 Mon Sep 17 00:00:00 2001
From: Flejk <snowflake@cocaine.ninja>
Date: Tue, 12 Nov 2024 16:20:03 +0100
Subject: [PATCH] removed searchOne

---
 symposium/searchOne.py | 46 ------------------------------------------
 1 file changed, 46 deletions(-)
 delete mode 100644 symposium/searchOne.py

diff --git a/symposium/searchOne.py b/symposium/searchOne.py
deleted file mode 100644
index 9fd4496..0000000
--- a/symposium/searchOne.py
+++ /dev/null
@@ -1,46 +0,0 @@
-import os
-import imagehash
-from PIL import Image
-import shutil
-
-# Paths for your folders and Waldo image
-input_folder = "images"        # Folder with images to check for Waldo
-output_folder = "found_waldo_images" # Folder to save images containing Waldo
-waldo_image_path = "symposium/waldo_transparent.png" # Path to your Waldo image
-
-# Create output folder if it doesn't exist
-os.makedirs(output_folder, exist_ok=True)
-
-# Load the Waldo image and compute its hash
-waldo_image = Image.open(waldo_image_path)
-waldo_hash = imagehash.phash(waldo_image)
-
-# Function to compare the hash of an image with Waldo's hash
-def detect_waldo_in_image(image_path):
-    try:
-        # Open image
-        image = Image.open(image_path)
-        # Compute the hash of the current image
-        image_hash = imagehash.phash(image)
-        
-        # Compute the difference between the image hash and Waldo's hash
-        hash_diff = waldo_hash - image_hash
-        
-        # If the difference is small (threshold), we consider it a match
-        return hash_diff < 13  # You can adjust the threshold (10) based on your needs
-    except Exception as e:
-        print(f"Error processing {image_path}: {e}")
-        return False
-
-# Process each image in the input folder
-for filename in os.listdir(input_folder):
-    if filename.lower().endswith(('.png', '.jpg', '.jpeg', '.bmp', '.tiff')):  # Process common image formats
-        image_path = os.path.join(input_folder, filename)
-        
-        # Check if the image matches the Waldo pattern
-        if detect_waldo_in_image(image_path):
-            print(f"Found Waldo in {filename}, saving to {output_folder}")
-            # Copy the image to the output folder
-            shutil.copy(image_path, os.path.join(output_folder, filename))
-
-print("Processing complete. Images with Waldo have been saved.")