finish sim

sim/transform/raw_cut.py

@@ -0,0 +1,23 @@
+import imageio
+import numpy as np
+
+cut_width = 700
+cut_height = 500
+
+if __name__ == '__main__':
+    # txt = open('./test.dat', 'w')
+    binfile = open('./test.bin', "wb")
+    image = imageio.imread_v2('./im.tif')
+    
+    print(image.shape)
+    cut = image[0:cut_height, 0:cut_width]
+    print(cut.shape)
+    cut = np.array(cut, dtype=np.int16)
+
+    for data in list(cut.flatten()):
+        # txt.write('%02x\n%02x\n' % (data & 0x00ff, (data & 0xff00) >> 4))
+        binfile.write(data)
+    # txt.close()
+    binfile.close()
+
+    # imageio.imsave('./test.tif', cut)

sim/transform/raw_to_image.py

@@ -0,0 +1,10 @@
+import imageio
+import numpy as np
+
+im_width = 512
+im_height = 256
+
+if __name__ == '__main__':
+	raw = np.fromfile('./out.bin', dtype=np.int16)
+	image = raw.reshape((im_height, im_width))
+	imageio.imsave("./out.png", image)