From 940f378e0f4aa48597dcdb900c7f636d03002377 Mon Sep 17 00:00:00 2001
From: Robert <Robert@TryingToScale.com>
Date: Sun, 27 Apr 2025 15:23:01 -0400
Subject: [PATCH] Lic

---
 dedup.py  | 22 ++++++++++++++++++++++
 delibs.py | 18 ------------------
 2 files changed, 22 insertions(+), 18 deletions(-)

diff --git a/dedup.py b/dedup.py
index 5041cb1..2d25e26 100644
--- a/dedup.py
+++ b/dedup.py
@@ -6,6 +6,28 @@ import time
 # My Custom Library called delibs.py
 import delibs
 
+"""
+Copyright 2025 - Robert Strutts MIT License
+
+Key Optimizations:
+
+Multi-Scale Processing:
+First alignment at low resolution (faster)
+Final refinement at full resolution (accurate)
+
+Matrix Scaling:
+The translation components of the transformation matrix are scaled up
+Rotation and scaling components remain the same
+
+Smart Downscaling:
+Uses INTER_AREA interpolation which is ideal for size reduction
+Maintains aspect ratio
+
+Performance Benefits:
+Processing time scales with area, so 4x downscale = ~16x faster initial alignment
+Memory usage significantly reduced
+"""
+
 def main():
     if len(sys.argv) < 3:
         print("Usage: python3 dedup.py file1.jpg file2.jpg")
diff --git a/delibs.py b/delibs.py
index 0bf5e04..4457391 100644
--- a/delibs.py
+++ b/delibs.py
@@ -9,24 +9,6 @@ import time
 
 """
 Copyright 2025 - Robert Strutts MIT License
-
-Key Optimizations:
-
-Multi-Scale Processing:
-First alignment at low resolution (faster)
-Final refinement at full resolution (accurate)
-
-Matrix Scaling:
-The translation components of the transformation matrix are scaled up
-Rotation and scaling components remain the same
-
-Smart Downscaling:
-Uses INTER_AREA interpolation which is ideal for size reduction
-Maintains aspect ratio
-
-Performance Benefits:
-Processing time scales with area, so 4x downscale = ~16x faster initial alignment
-Memory usage significantly reduced
 """
 
 start = time.perf_counter()