From 8cb973f7b50f9896ac73bf9a51e62ecb75f981c1 Mon Sep 17 00:00:00 2001
From: David Rotermund <54365609+davrot@users.noreply.github.com>
Date: Wed, 12 Jul 2023 14:04:09 +0200
Subject: [PATCH] Add files via upload

---
 4_show.py  | 24 ++++++++++++++++++++++++
 4b_show.py | 24 ++++++++++++++++++++++++
 2 files changed, 48 insertions(+)
 create mode 100644 4_show.py
 create mode 100644 4b_show.py

diff --git a/4_show.py b/4_show.py
new file mode 100644
index 0000000..7276dd6
--- /dev/null
+++ b/4_show.py
@@ -0,0 +1,24 @@
+import numpy as np
+import torch
+from Anime import Anime
+
+# Convert from avi to npy
+filename: str = "example_data_crop"
+
+
+torch_device: torch.device = torch.device(
+    "cuda:0" if torch.cuda.is_available() else "cpu"
+)
+
+print("Load data")
+input = np.load(filename + str("_decorrelated.npy"))
+data = torch.tensor(input, device=torch_device)
+del input
+print("loading done")
+
+data = data.nan_to_num(nan=0.0)
+#data -= data.min(dim=0, keepdim=True)[0]
+
+
+ani = Anime()
+ani.show(data, vmin=0.0)
diff --git a/4b_show.py b/4b_show.py
new file mode 100644
index 0000000..82c070d
--- /dev/null
+++ b/4b_show.py
@@ -0,0 +1,24 @@
+import numpy as np
+import torch
+from Anime import Anime
+
+# Convert from avi to npy
+filename: str = "example_data_crop"
+
+
+torch_device: torch.device = torch.device(
+    "cuda:0" if torch.cuda.is_available() else "cpu"
+)
+
+print("Load data")
+input = np.load(filename + str("_decorrelated.npy"))
+data = torch.tensor(input, device=torch_device)
+del input
+print("loading done")
+
+data = data.nan_to_num(nan=0.0)
+data -= data.min(dim=0, keepdim=True)[0]
+data *= data.std(dim=0, keepdim=True)
+
+ani = Anime()
+ani.show(data)