New image draw and optimizer 🎉

bot.py

@@ -77,3 +77,9 @@ print(ccheck(cfill(0,0, 34,34)))
 # Use extras, draw 1/2 random square 100x100 on 0,0
 from bot_extras import *
 draw(pas2( rand(0,0, 100,100) ))
+
+# Draw image (flipped (BUG) )
+from im_convert import *
+image = convert("example.png", [600,0])
+from remove_back import *
+draw( optimize(image, [255,255,255]) ) # Remove white background and draw

im_convert.py

@@ -0,0 +1,17 @@
+from PIL import Image
+
+# convert("example.png")  // png/jpg/gif
+def convert(filename, move = [0,0]):
+	im = Image.open(filename).convert('RGB')
+	pxls=im.load()
+	w=im.size[0]
+	h=im.size[1]
+
+	ll = []
+	for x in range(w):
+		for y in range(h):
+			# [x,y, [r, g, b]]
+			rgb = pxls[x,y]
+			ll.append( [x + move[0], y + move[1], rgb[0], rgb[1], rgb[2] ] )
+
+	return ll

remove_back.py

@@ -1,21 +1,16 @@
 from tqdm import tqdm
 
-def optimize(l):
-	back = input("Enter background color > ")
-	new_l = []
-	for i in tqdm(l):
-		if i[2] == back:
-			continue
-		else:
-			new_l.append(i)
+def optimize(pxls, back):
+	old_len = len(pxls)
 
-	f = open("out.txt", "w")
-	f.write(str(new_l))
-	f.close()
+	new_pxls = []
+	for i in tqdm(range(old_len)):
+		el = pxls[i]
+		now_back = [el[2], el[3], el[4]]
 
-	print(f"Lenght before: {len(l)}")
-	print(f"Lenght after: {len(new_l)}")
-	optimized = len(l)-len(new_l)
-	print(f"Optimized: {optimized} ( -{round(optimized/(len(l)/100))}% )")
+		if now_back != back:
+			new_pxls.append(pxls[i])
 
-	return new_l
+	print(f"Optimized {(old_len - len(new_pxls)) / old_len * 100 }%")
+
+	return new_pxls