V2.1 First ping finish

- first ping result with lower res
- Higher res version could be download at https://drive.google.com/file/d/1bJCthywxjfU5lVKnAav8i1T5MJmGmbfx/view?usp=sharing

all_256_plot.py

@@ -0,0 +1,82 @@
+# import os
+# from PIL import Image
+# from hilbertcurve.hilbertcurve import HilbertCurve
+from tqdm import tqdm
+#
+# # Number of images
+# num_images = 256
+#
+# # Image size (assuming all images have the same size)
+# image_size = (4096, 4096)
+#
+# # Determine the order of the Hilbert curve based on the number of images
+# order = 1
+# while 2 ** (2 * order) < num_images:
+#     order += 1
+#
+# # Create a Hilbert curve of the appropriate order
+# hilbert_curve = HilbertCurve(order, 2)
+#
+# # Create a blank image to hold the arranged images
+# arranged_image = Image.new('L', (image_size[0] * 2 ** order, image_size[1] * 2 ** order))
+#
+# # Load and arrange the images
+# for i in tqdm(range(num_images)):
+#     # Load the image
+#     image_path = os.path.join(os.getcwd(), f"picture/{i}.png")
+#     image = Image.open(image_path).convert('L')
+#
+#     # Determine the position of the image in the Hilbert curve
+#     x, y = hilbert_curve.point_from_distance(i)
+#
+#     # Paste the image into the arranged image
+#     arranged_image.paste(image, (x * image_size[0], y * image_size[1]))
+#
+# # Display the arranged image
+# # arranged_image.show()
+# arranged_image.save("ip.jpg")
+
+import os
+from PIL import Image
+from hilbertcurve.hilbertcurve import HilbertCurve
+
+# Number of images
+num_images = 256
+
+# Image size (assuming all images have the same size)
+original_image_size = 8192  # should be times of 16
+image_size = int(original_image_size / 16)
+
+# Determine the order of the Hilbert curve based on the number of images
+order = 1
+while 2 ** (2 * order) < num_images:
+    order += 1
+
+# Create a Hilbert curve of the appropriate order
+hilbert_curve = HilbertCurve(order, 2)
+
+# Create a blank image to hold the arranged images
+arranged_image = Image.new('L', (original_image_size, original_image_size))
+
+# Load and arrange the images
+for i in tqdm(range(num_images)):
+    # Load the image as grayscale
+    image_path = os.path.join(os.getcwd(), f"picture/{i}.png")
+    image = Image.open(image_path).convert('L')
+
+    # Resize the image to the desired size
+    image = image.resize((image_size, image_size))
+
+    # Determine the position of the image in the Hilbert curve
+    x, y = hilbert_curve.point_from_distance(i)
+
+    # Calculate the coordinates of the image in the arranged image
+    x_coord = x * image_size
+    y_coord = y * image_size
+
+    # Paste the image into the arranged image
+    arranged_image.paste(image, (x_coord, y_coord))
+
+# Save the arranged image as a PNG file
+arranged_image.save(f'ip_{original_image_size}.png')
+

plot.py

@@ -119,6 +119,7 @@ def process(index):
     path = os.path.join("picture", str(index) + ".png")
     os.makedirs(os.path.dirname(path), exist_ok=True)
     image.save(path, format="png")
+    return
 
 
 def build_cache():
@@ -133,23 +134,22 @@ def build_cache():
     DATA = {}
     for i in tqdm(range(4096)):
         for j in range(4096):
+
             index = xy_to_hilbert(i, j, 12)
             DATA[index] = (i, j)
     prebuilt_hilbertCurve_4096["DATA"] = DATA
     print("DUMPING FILE")
     json.dump(prebuilt_hilbertCurve_4096, open("prebuilt_hilbertCurve_4096.json", "w+"))
     return DATA
 
-
-print("Start to load prebuild hilbert curve, usually it will take 30 second or more")
-time_start = time.time()
-try:  # try to load cache
-    prebuilt_hilbertCurve_4096 = json.load(open("prebuilt_hilbertCurve_4096.json", "r"))["DATA"]
-except FileNotFoundError:
-    prebuilt_hilbertCurve_4096 = build_cache()
-print(f"Loaded prebuilt hilbert curve, take {round(time.time() - time_start, 2)} seconds")
-
 if __name__ == '__main__':
-    with Pool(multiprocessing.cpu_count()) as p:
+    print("Start to load prebuild hilbert curve, usually it will take 30 second or more")
+    time_start = time.time()
+    try:  # try to load cache
+        prebuilt_hilbertCurve_4096 = json.load(open("prebuilt_hilbertCurve_4096.json", "r"))["DATA"]
+    except FileNotFoundError:
+        prebuilt_hilbertCurve_4096 = build_cache()
+    print(f"Loaded prebuilt hilbert curve, take {round(time.time() - time_start, 2)} seconds")
+    with Pool(multiprocessing.cpu_count()//2) as p:
         p.map(process, os.listdir("ip"))