Update.

[culture.git] / world.py

diff --git a/world.py b/world.py
index a5e9601..1d86bc6 100755 (executable)
--- a/world.py
+++ b/world.py
@@ -103,8 +103,9 @@ def generate(
 
 
 def sample2img(seq, height, width, upscale=15):
 
 
 def sample2img(seq, height, width, upscale=15):

-    f_start = seq[:, : height * width].reshape(-1, height, width)
-    f_end = seq[:, height * width + 1 :].reshape(-1, height, width)
+    f_first = seq[:, : height * width].reshape(-1, height, width)
+    f_second = seq[:, height * width + 1 :].reshape(-1, height, width)
+    direction = seq[:, height * width]

 
     def mosaic(x, upscale):
         x = x.reshape(-1, height, width)
 
     def mosaic(x, upscale):
         x = x.reshape(-1, height, width)


@@ -124,7 +125,46 @@ def sample2img(seq, height, width, upscale=15):
 
         return x
 
 
         return x
 

-    return torch.cat([mosaic(f_start, upscale), mosaic(f_end, upscale)], dim=3)
+    direction_symbol = torch.full((direction.size(0), height * upscale, upscale), 0)
+    direction_symbol = colors[direction_symbol].permute(0, 3, 1, 2)
+    separator = torch.full((direction.size(0), 3, height * upscale, 1), 0)
+
+    for n in range(direction_symbol.size(0)):
+        if direction[n] == token_forward:
+            for k in range(upscale):
+                direction_symbol[
+                    n,
+                    :,
+                    (height * upscale) // 2 - upscale // 2 + k,
+                    3 + abs(k - upscale // 2),
+                ] = 0
+        elif direction[n] == token_backward:
+            for k in range(upscale):
+                direction_symbol[
+                    n,
+                    :,
+                    (height * upscale) // 2 - upscale // 2 + k,
+                    3 + upscale // 2 - abs(k - upscale // 2),
+                ] = 0
+        else:
+            for k in range(2, upscale - 2):
+                direction_symbol[
+                    n, :, (height * upscale) // 2 - upscale // 2 + k, k
+                ] = 0
+                direction_symbol[
+                    n, :, (height * upscale) // 2 - upscale // 2 + k, upscale - 1 - k
+                ] = 0
+
+    return torch.cat(
+        [
+            mosaic(f_first, upscale),
+            separator,
+            direction_symbol,
+            separator,
+            mosaic(f_second, upscale),
+        ],
+        dim=3,
+    )

 
 
 def seq2str(seq):
 
 
 def seq2str(seq):


@@ -141,7 +181,7 @@ if __name__ == "__main__":
 
     height, width = 6, 8
     start_time = time.perf_counter()
 
     height, width = 6, 8
     start_time = time.perf_counter()

-    seq = generate(nb=64, height=height, width=width, max_nb_obj=3)
+    seq = generate(nb=90, height=height, width=width, max_nb_obj=3)

     delay = time.perf_counter() - start_time
     print(f"{seq.size(0)/delay:02f} samples/s")
 
     delay = time.perf_counter() - start_time
     print(f"{seq.size(0)/delay:02f} samples/s")
 


@@ -154,5 +194,5 @@ if __name__ == "__main__":
     print(img.size())
 
     torchvision.utils.save_image(
     print(img.size())
 
     torchvision.utils.save_image(

-        img.float() / 255.0, "/tmp/world.png", nrow=8, padding=2
+        img.float() / 255.0, "/tmp/world.png", nrow=6, padding=4

     )
     )