support visualization of ocr confidences

tsvtools/ocr.py

@@ -0,0 +1,23 @@
+import numpy as np
+import pandas as pd
+
+
+def get_conf_color(conf, min_conf, max_conf):
+
+    conf = min_conf if conf < min_conf else conf
+    conf = max_conf if conf > max_conf else conf
+
+    interval_size = (max_conf - min_conf) / 2.0
+
+    colors = np.array([[216, 108, 117], [216, 206, 108], [108, 216, 146]])
+
+    colors = pd.DataFrame(colors, index=[0, 1, 2], columns=['R', 'G', 'B'])
+
+    lower = np.floor((conf - min_conf) / interval_size)
+    upper = np.ceil((conf - min_conf) / interval_size)
+
+    pos = (conf - min_conf) / (2.0*interval_size)
+
+    col = (colors.loc[lower] * (1.0 - pos) + colors.loc[upper] * pos).astype(int)
+
+    return '#{:02x}'.format(col.R) + '{:02x}'.format(col.G) + '{:02x}'.format(col.B)