Release 1.0.0

Initial release

.gitignore

@@ -1,7 +1,8 @@
 __pycache__
+__sample__.json
 
 input/*
 samples/*
-mem/*
+memory/*
 
 !*/.placeholder

classes/Collage.py

@@ -0,0 +1,74 @@
+from PIL import Image
+from bisect import bisect_left
+
+class Schematic():
+	def __init__(self,template,samples):
+		self.template = template
+		self.samples = samples
+
+		self.schematic = {}
+		self.create_schematic()
+
+	def query_sample(self,value):
+		samples = [*self.samples]
+		pos = bisect_left(samples,value)
+
+		if(pos < 1 or pos > len(samples) - 1):
+			pos = 0
+
+		return samples[pos]
+
+	def create_schematic(self):
+		for x in range(1,self.template.size[0]):
+			self.schematic[x] = {}
+			for y in range(1,self.template.size[1]):
+				r,g,b = self.template.getpixel((x,y))
+				eyedropper = "%02x%02x%02x" % (r,g,b)
+
+				self.schematic[x][y] = self.query_sample(eyedropper)
+				print(f"Generated schematic for pixel at index [{x},{y}] ",end="\r",flush="True")
+		print("")
+
+class Collage():
+	def __init__(self,input_file,samples):
+		self.template = Image.open(input_file)
+		self.samples = samples.samples
+		self.samples_posix = samples.samples_posix
+
+		self.size = (20,20)
+
+		self.collage = self.create_canvas()
+		self.create_collage()
+
+	def create_canvas(self):
+		canvas_width = self.size[0] * self.template.size[0]
+		canvas_height = self.size[1] * self.template.size[1]
+
+		return Image.new("RGB",(canvas_width,canvas_height))
+
+	def create_collage(self):
+		schematic = Schematic(self.template,self.samples).schematic
+
+		offset_x = 0
+		offset_y = 0
+
+		for x in range(1,self.template.size[0]):
+			offset_x = 0
+			for y in range(1,self.template.size[1]):
+				key = schematic[x][y]
+				resolve_posix = self.samples[key]
+				
+				sample = Image.open(self.samples_posix[resolve_posix])
+				sample = sample.resize(self.size)
+
+				self.collage = self.collage.copy()
+				self.collage.paste(sample,(offset_x,offset_y))
+
+				offset_x += self.size[0]
+
+				print(f"Pasted best matched sample for index [{x},{y}] ",end="\r",flush="True")
+			offset_y += self.size[1]
+		print("")
+
+	def put(self,dest):
+		self.collage.save(dest,"JPEG")

classes/Color.py

@@ -0,0 +1,31 @@
+from PIL import Image
+
+# Calculate the average color of a sample
+class AverageColor():
+    def __init__(self,image):
+        self.image = Image.open(image)
+        self.image = self.image.resize((50,50)) # Downscale image to improve performance
+
+    def rgb(self):
+        width,height = self.image.size
+        rgb = [0,0,0]
+
+        def average(value):
+            return round(value / lines)
+
+        # Get RGB of each pixel with by raster scanning
+        lines = 0
+        for x in range(0,width):
+            for y in range(0,height):
+                r,g,b = self.image.getpixel((x,y))
+
+                rgb[0] += r
+                rgb[1] += g
+                rgb[2] += b
+                lines += 1
+
+        return tuple(map(average,rgb))
+
+    # Format RGB output as HEX (without #)
+    def hex(self):
+        return "%02x%02x%02x" % self.rgb()

classes/Eyedropper.py

@@ -1,24 +0,0 @@
-from PIL import Image
-
-def compute_average_image_color(img):
-    width, height = img.size
-
-    r_total = 0
-    g_total = 0
-    b_total = 0
-
-    count = 0
-    for x in range(0, width):
-        for y in range(0, height):
-            r, g, b = img.getpixel((x,y))
-            r_total += r
-            g_total += g
-            b_total += b
-            count += 1
-
-    return (r_total/count, g_total/count, b_total/count)
-
-img = Image.open('image.png')
-#img = img.resize((50,50))  # Small optimization
-average_color = compute_average_image_color(img)
-print(average_color)

classes/Samples.py

@@ -1,26 +1,73 @@
+import zlib
+import json
+from collections import OrderedDict
+from .Color import AverageColor
 from pathlib import Path
 
-class Samples:
-	def __init__(self,samples_path):
-		samples_files = Path(samples_path).glob("*.jpg")
-		self.samples = [x for x in samples_files if x.is_file()]
-
+# Generate a unique identifier for the current sample set
+class SamplesFingerprint():
+	def __init__(self):
 		self.hash = self.create_hash()
-		self.memory = f"mem/{self.hash}"
-	
-	# Create hash from sample names and path
+		self.memory = f"memory/{self.hash}.json"
+		self.created = False
+
+		if(not self.hash_exists()):
+			self.save_hash()
+
+	# Checksum by hashing next sample with sum of previous samples
 	def create_hash(self):
-		samples_hash = ""
-		for i in self.samples:
-			samples_hash = hash(i)
+		samples_hash = "I like coffee" # Initialize with padding
+		for i in self.samples_posix:
+			seed = str(samples_hash) + str(i)
+			samples_hash = zlib.crc32(bytes(seed,encoding="utf8"))
 		return samples_hash
 
-	# Test if the current sample set has been saved
+	# Test if sample set has been saved
 	def hash_exists(self):
-		if(Path(self.memory).is_file()):
-			return True
-		return False
+		if(self.created or not Path(self.memory).is_file()):
+			return False
+		
+		self.created = True
+		return self.created
 
-	# Save hash to memory location on disk
+	# Save identifier of sample set to disk
 	def save_hash(self):
-		Path(self.memory,"w").touch()
+		Path(self.memory).touch()
+
+# Load samples from sample set memory file or from samples/ 
+class Samples(SamplesFingerprint):
+	def __init__(self,samples_path,force = False):
+		samples_files = Path(samples_path).glob("*.jpg")
+		self.samples_posix = [x for x in samples_files if x.is_file()] # List of PosixPaths
+		self.samples = {} # HEX from color calc algorithm
+
+		super(Samples,self).__init__()
+
+		try:
+			self.load_sample_set()
+		except:
+			self.map_color()
+			self.save_sample_set()
+
+	# Get the pixel value for each sample using a desired algorithm
+	def map_color(self):
+		for i,sample in enumerate(self.samples_posix):
+			color = AverageColor(sample).hex() # Get the average color of a sample as HEX
+
+			self.samples[color] = i
+			print(f"Loaded {i + 1}/{len(self.samples_posix)} samples",end="\r",flush="True")
+		print("")
+
+	# Save calculated sample set data
+	def save_sample_set(self):
+		self.samples = dict(sorted(self.samples.items())) # Sort the dict by chrominance
+
+		with open(self.memory,"w") as f:
+			json.dump(self.samples,f)
+		print(f"Saved sample set with fingerprint: {self.hash}")
+
+	# Load pre-calulated sample set data
+	def load_sample_set(self):
+		with open(self.memory) as f:
+			self.samples = json.load(f)
+		print(f"Loaded {len(self.samples)} samples from set {self.hash}")

create_collage.sh

@@ -1,4 +0,0 @@
-#! /bin/bash
-export PYTHONHASHSEED=0
-
-python3 main.py

main.py

@@ -1,7 +1,22 @@
-#from classes import Eyedropper
 from classes.Samples import Samples
+from classes.Collage import Collage
+from pathlib import Path
 
-# Load samples from folder
-samples = Samples("samples")
+force = False
+input_path = "input/"
 
-print(samples.hash)
+# Load all JPGs from the "samples/" folder
+samples = Samples("samples",force)
+
+input_file = str("input/coffee-resized.jpg")
+
+collage = Collage(input_file,samples)
+collage.put(input_file + "_collage.jpg")
+
+# input_files = Path(input_path).glob("*.jpg")
+# input_files_posix = [x for x in input_files if x.is_file()] # List of PosixPaths
+
+# for input_file in input_files_posix:
+# 	input_file = str(input_file)
+# 	collage = Collage(input_file,samples)
+# 	collage.put(input_file + "_collage.jpg")