1 files changed, 27 insertions, 0 deletions
diff --git a/load_c_data.py b/load_c_data.py
new file mode 100755
index 0000000..a3a905b
--- /dev/null
+++ b/load_c_data.py
@@ -0,0 +1,27 @@
+#!/usr/bin/env python3.11
+import numpy as np
+from sys import argv
+from matplotlib import pyplot as plt
+import tifffile
+#from tqdm.std import tqdm
+
+FILE_NAME=None
+if len(argv) > 1:
+    FILE_NAME = argv[1]
+DTYPE=np.uint16
+WIDTH,HEIGHT=1920,2560
+data = np.fromfile(FILE_NAME, dtype=DTYPE)
+_im = plt.imread(FILE_NAME[:-len("bin")] + "png")
+w,h,c = _im.shape
+if w <= 4:
+    c,w,h = w,h,c
+WIDTH,HEIGHT = w,h
+labels = data.reshape(WIDTH,HEIGHT)
+
+BASE="/home/physics/cunnichr/Data/HistologyArrays/HistologyArray00/"
+NAME = FILE_NAME[-len("HT-XX.bin"):-len(".bin")]
+image = plt.imread(BASE + NAME + "/image.png")
+print(FILE_NAME[:-len("bin")] + "tif", "\n", image.transpose(2,0,1).shape, len(np.unique(labels)))
+tifffile.imwrite(FILE_NAME[:-len("bin")] + "tif", image.transpose(2,0,1)[:3,...])
+#np.savez(FILE_NAME[:-len("bin")] + ".npz", image=[], masks=labels)
+np.save(FILE_NAME[:-len(".bin")] + "_seg.npy", dict(image=image, masks=labels))