update zip files

.gitattributes

@@ -48,6 +48,7 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 # Image files - uncompressed
 *.bmp filter=lfs diff=lfs merge=lfs -text
 *.gif filter=lfs diff=lfs merge=lfs -text
+*.png filter=lfs diff=lfs merge=lfs -text
 *.tiff filter=lfs diff=lfs merge=lfs -text
 # Image files - compressed
 *.jpg filter=lfs diff=lfs merge=lfs -text
@@ -57,4 +58,3 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.mp4 filter=lfs diff=lfs merge=lfs -text
 *.webm filter=lfs diff=lfs merge=lfs -text
 *.jsonl filter=lfs diff=lfs merge=lfs -text
-*.png filter=lfs diff=lfs merge=lfs -text

events_raw.zip

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:8b2fd9c27565e62dbb3c279fe55c7a9a17e17886cd0078e1724eb7891b35fde4
-size 1243791800
+oid sha256:b5a3e9608b5ea20afa0d8d22dfff697e7e3253dbd8ccb182d725d5493992f949
+size 5538801647

images-blur.zip

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1b5ea2045e3f26fb27b8ee0014c913876f912fb5fb953900af8a393e2f748792
-size 1147123145
+oid sha256:bd1dcf96ed3513ce277e155d5f5e2e1a7436b14490de626969bbb84303818b0d
+size 1144350291

images-end.zip

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:808412532be48270ff6eed2cf8c10fc9d9d9fde874ba149cde40ce20721aa250
-size 1773391309
+oid sha256:f87522677f81795c9faa2c55eccbf7d0db9987bbb073151c04195422cf3239f4
+size 1771433273

images-start.zip

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:694fe15142987a5c6d13b2e9dd55ea9802cd5b16ac0859becfe4c379b32e203e
-size 1555126309
+oid sha256:206443c6f1c28ef9b8088715c11c47f6ff1f5688588dbedca36ed42ff632ae23
+size 1554003422

test.py

@@ -1,49 +0,0 @@
-from datasets import load_dataset
-
-ds = load_dataset("lh9171338/FE-Wireframe", trust_remote_code=True)
-# ds = load_dataset("/Users/lihao57/workspace/FE-Blurframe", trust_remote_code=True)
-# ds = load_dataset("FE-Wireframe.py", trust_remote_code=True)
-print(ds)
-print(ds["test"][0].keys())
-print(ds["test"][0]["events"]["image_size"])
-
-# import os
-# import numpy as np
-# import glob
-# from PIL import Image
-# from lh_tool.iterator import AutoParallelProcess
-
-
-# def func(event_file, save_path):
-#     events = np.load(event_file)
-#     x = events["x"].astype("int16")
-#     y = events["y"].astype("int16")
-#     p = events["p"].astype("int32")
-#     t = events["t"].astype("bool")
-#     image_file = event_file.replace("events_raw", "images-blur").replace(".npz", ".png")
-#     image = Image.open(image_file)
-#     image_size = image.size
-#     w, h = image_size
-#     mask = (x >=0 ) & (x < w) & (y >= 0) & (y < h)
-#     x = x[mask]
-#     y = y[mask]
-#     p = p[mask]
-#     t = t[mask]
-#     data = dict(
-#         image_size=image_size,
-#         x=x,
-#         y=y,
-#         p=p,
-#         t=t,
-#     )
-#     np.savez_compressed(os.path.join(save_path, os.path.basename(event_file)), **data)
-
-
-# if __name__ == "__main__":
-#     event_files = glob.glob("events_raw/*.npz")
-#     save_path = "events"
-#     os.makedirs(save_path, exist_ok=True)
-#     AutoParallelProcess(func).run(
-#         event_file=event_files,
-#         save_path=save_path,
-#     )