add example/mosaic-area.ipynb

Author: KoKuToru

README.md

@@ -1,7 +1,7 @@
 # Small de-pixelation Example
 
-is in [`example/main.ipynb`](example/main.ipynb)
-but best viewed at [`main.ipynb via nbviewer`](https://nbviewer.org/github/KoKuToru/de-pixelate_gaV-O6NPWrI/blob/master/example/main.ipynb)
+is in [`example/mosaic-nearest.ipynb`](example/mosaic-nearest.ipynb)
+but best viewed at [`mosaic-nearest.ipynb via nbviewer`](https://nbviewer.org/github/KoKuToru/de-pixelate_gaV-O6NPWrI/blob/master/example/mosaic-nearest.ipynb)
 
 # de-pixelate youtube video gaV-O6NPWrI "Who pays $450 for 2TB?"
 
@@ -25,7 +25,8 @@ The following files are dedicated to the public domain using the Creative Common
 *   [`v1/extract_frames.sh`](v1/extract_frames.sh)
 *   [`v2/demosaic.py`](v2/demosaic.py)
 *   [`v2/extract_frames.sh`](v2/extract_frames.sh)
-*   [`example/main.ipynb`](example/main.ipynb)
+*   [`example/mosaic-nearest.ipynb`](example/mosaic-nearest.ipynb)
+*   [`example/mosaic-area.ipynb`](example/mosaic-area.ipynb)
 
 You can find the full text of the CC0 license online at: <https://creativecommons.org/publicdomain/zero/1.0/>
 

example/mosaic-area.ipynb

@@ -5,7 +5,10 @@
    "id": "335897f5",
    "metadata": {},
    "source": [
-    "# Image Pixelization / De-Pixelization Demo"
+    "# Image Pixelization / De-Pixelization Demo\n",
+    "\n",
+    "This notebook demonstrates how to create a pixelated animation from an original image and then attempt to reconstruct an image from these pixelated blocks.\\\n",
+    "The pixelation effect is achieved using a `nearest` neighbor filter during downsampling and upsampling of a moving window.\n"
    ]
   },
   {
@@ -18,7 +21,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 9,
    "id": "20f4dbc1",
    "metadata": {},
    "outputs": [
@@ -29,7 +32,7 @@
        "<PIL.Image.Image image mode=RGBA size=380x380>"
       ]
      },
-     "execution_count": 1,
+     "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -55,7 +58,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 10,
    "id": "d3ba5abf",
    "metadata": {},
    "outputs": [
@@ -114,7 +117,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": null,
    "id": "82f5e2d1",
    "metadata": {},
    "outputs": [
@@ -6138,7 +6141,7 @@
        "<IPython.core.display.HTML object>"
       ]
      },
-     "execution_count": 3,
+     "execution_count": 11,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -6160,21 +6163,27 @@
     "        ...,\n",
     "        y_start:y_end,\n",
     "        x_start:x_end\n",
-    "    ] = F.interpolate(original[\n",
-    "        ...,\n",
-    "        y_start:y_end:CHUNK_SIZE,\n",
-    "        x_start:x_end:CHUNK_SIZE\n",
-    "    ], size=(AREA_SIZE, AREA_SIZE), mode='nearest')\n",
+    "    ] = F.interpolate(\n",
+    "        F.interpolate(\n",
+    "            original[\n",
+    "                ...,\n",
+    "                y_start:y_end,\n",
+    "                x_start:x_end\n",
+    "            ],\n",
+    "            size=(AREA_SIZE // CHUNK_SIZE, AREA_SIZE // CHUNK_SIZE),\n",
+    "            mode='nearest' # use NEAREST-FILTER\n",
+    "        ),\n",
+    "        size=(AREA_SIZE, AREA_SIZE),\n",
+    "        mode='nearest'\n",
+    "    )\n",
     "\n",
     "def display_frames(title, frames):\n",
     "    fig, ax = plt.subplots()\n",
     "    ims = []\n",
     "    for frame in frames:\n",
-    "        # Assuming 'frame[0]' is your image data that can be processed by TF.to_pil_image\n",
     "        pil_image = TF.to_pil_image(TF.vflip(frame))\n",
-    "        # Append the image object returned by imshow to the list\n",
     "        im_artist = ax.imshow(pil_image, animated=True)\n",
-    "        ims.append([im_artist]) # ims should be a list of lists of artists\n",
+    "        ims.append([im_artist])\n",
     "\n",
     "    import matplotlib.animation as animation\n",
     "    ani = animation.ArtistAnimation(fig, ims, interval=50, blit=True, repeat_delay=1000)\n",
@@ -6208,7 +6217,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 12,
    "id": "a956c6f5",
    "metadata": {},
    "outputs": [
@@ -8121,7 +8130,7 @@
        "<IPython.core.display.HTML object>"
       ]
      },
-     "execution_count": 4,
+     "execution_count": 12,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -8158,7 +8167,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 13,
    "id": "276d5775",
    "metadata": {},
    "outputs": [
@@ -8169,7 +8178,7 @@
        "<PIL.Image.Image image mode=RGBA size=380x380>"
       ]
      },
-     "execution_count": 7,
+     "execution_count": 13,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -8194,7 +8203,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 14,
    "id": "24bb6abb",
    "metadata": {},
    "outputs": [
@@ -8205,7 +8214,7 @@
        "<PIL.Image.Image image mode=RGBA size=380x380>"
       ]
      },
-     "execution_count": 8,
+     "execution_count": 14,
      "metadata": {},
      "output_type": "execute_result"
     }