Update

_posts/2025-01-08-manipulate-pixels-python.md

@@ -0,0 +1,54 @@
+---
+title: Manipulate image pixels in Python
+layout: post
+excerpt: I had a black and white image but I wanted a black image with the white bits transparent.
+
+thumbnail: /assets/blog/manipulate_pixels.png
+social_image: /assets/blog/manipulate_pixels.png
+assets: 
+alt: 
+image_class: invertable
+
+---
+
+The way I've implemented dark mode on this site is to mark some images with a class `invertable` that means they still look good inverted. And then in CSS I go ahead and invert them if you're in dark mode. For other images I just dim them a bit.
+
+
+<figure class="two-wide">
+<img src="/assets/blog/micropython/simulated_display.png" class="invertable">
+<img src="/assets/blog/micropython/simulated_display_transparent.png" class="invertable">
+<figcaption>Try switching back and forth between dark mode and light mode, the one on the right works, the one on the left gets and ugly black background.</figcaption>
+</figure>
+
+However for some images like this black and white png it looks a bit weird when inverted because the background becomes hard black but my site's background is a dark grey. So I wanted to make the white pixels transparent instead.
+
+Anyway the point of this post is that I knew in terms of pixel values what I wanted to do but wasn't sure how to do this in an image editors. So here's the code for you and my future reference:
+
+```python
+import sys
+
+import numpy as np
+from PIL import Image
+
+if len(sys.argv) < 3:
+    print("Usage: python convert_to_transparent.py <input_image_path> <output_image_path>")
+    sys.exit(1)
+
+input_path, output_path = sys.argv[1], sys.argv[2]
+
+grey = np.array(Image.open(input_path).convert("L"))
+alpha_channel = 255 - grey
+
+rgba_array = np.zeros((grey.shape[0], grey.shape[1], 4), dtype=np.uint8)
+rgba_array[..., 0] = 0  # Red channel
+rgba_array[..., 1] = 0  # Green channel
+rgba_array[..., 2] = 0  # Blue channel
+rgba_array[..., 3] = alpha_channel  # Alpha channel
+
+# Create a new image for the output
+rgba_img = Image.fromarray(rgba_array, mode="RGBA")
+
+# Save the result
+rgba_img.save(output_path, "PNG")
+print(f"Image saved to {output_path}")
+```

_posts/2100-12-30-template.md

@@ -3,10 +3,10 @@ title:
 layout: post
 excerpt: A one sentence summary.
 
-images: /assets/images/2024
+images:
 
-image: 
 thumbnail: 
+social_image: 
 assets: 
 alt: 
 

_sass/base.scss

@@ -233,7 +233,7 @@ figure.two-wide {
   justify-content: center;
   gap: 1em;
   margin-bottom: 1em;
-  * {
+  *:not(figcaption) {
     width: calc(50% - 0.5em);
   }
 }
@@ -244,7 +244,7 @@ figure.multiple {
   justify-content: center;
   gap: 1em;
   margin-bottom: 1em;
-  * {
+  *:not(figcaption) {
     width: calc(50% - 0.5em);
     margin: 0;
     padding: 0;
@@ -260,7 +260,7 @@ figure.multiple {
   margin-bottom: 1em;
   place-items: center center;
 
-  * {
+  *:not(figcaption) {
     margin: 0;
     padding: 0;
     width: 100%;

assets/blog/micropython/convert_to_transparent.py

@@ -1,28 +1,26 @@
+import sys
+
 import numpy as np
 from PIL import Image
 
+if len(sys.argv) < 3:
+    print("Usage: python convert_to_transparent.py <input_image_path> <output_image_path>")
+    sys.exit(1)
 
-def convert_image(input_path, output_path):
-    # Open the image
-    grey = np.array(Image.open(input_path).convert("L"))
-    alpha_channel = 255 - grey
-    
-    rgba_array = np.zeros((grey.shape[0], grey.shape[1], 4), dtype=np.uint8)
-    rgba_array[..., 0] = 0  # Red channel
-    rgba_array[..., 1] = 0  # Green channel
-    rgba_array[..., 2] = 0  # Blue channel
-    rgba_array[..., 3] = alpha_channel  # Alpha channel
-    
-    # Create a new image for the output
-    rgba_img = Image.fromarray(rgba_array, mode="RGBA")
-    
+input_path, output_path = sys.argv[1], sys.argv[2]
 
-    
-    # Save the result
-    rgba_img.save(output_path, "PNG")
-    print(f"Image saved to {output_path}")
+grey = np.array(Image.open(input_path).convert("L"))
+alpha_channel = 255 - grey
 
-# Example usage
-input_file = "simulated_display.png"
-output_file = "simulated_display_transparent.png"
-convert_image(input_file, output_file)
+rgba_array = np.zeros((grey.shape[0], grey.shape[1], 4), dtype=np.uint8)
+rgba_array[..., 0] = 0  # Red channel
+rgba_array[..., 1] = 0  # Green channel
+rgba_array[..., 2] = 0  # Blue channel
+rgba_array[..., 3] = alpha_channel  # Alpha channel
+
+# Create a new image for the output
+rgba_img = Image.fromarray(rgba_array, mode="RGBA")
+
+# Save the result
+rgba_img.save(output_path, "PNG")
+print(f"Image saved to {output_path}")