update,

vinniesniper-54816/task1/_lab/001-test-integration/tune_para.py

@@ -0,0 +1,45 @@
+import csv
+from pprint import pprint
+import os, sys
+from time import sleep
+
+
+sleep(1)
+
+print("start")
+
+results = []
+with open("raw_results.csv", "r") as f:
+    reader = csv.reader(f)
+    next(reader)  # Skip the first row
+    for row in reader:
+        results.append(row + [row[0].replace("image.orig/", "")[0]])
+
+
+max_val = max([float(row[5]) for row in results])
+min_val = min([float(row[5]) for row in results])
+
+wanted_cat = "2"
+i = 0
+for result in results:
+    diff = 0
+    if result[-1] == wanted_cat:
+        print("put result with -ve value to +ve value in weight")
+
+        col_name = ["gray", "rgb", "sift", "contour", "cld"]
+
+        for i in [0, 1, 2, 3, 4]:
+            pprint((col_name[i]).ljust(10) + ": " + str(float(results[0][10 + i]) - float(result[10 + i])))
+            diff += float(results[0][10 + i]) - float(result[10 + i])
+
+        if diff == 0:
+            print("\033[92m PARA OK \033[0m")
+        break
+i = 0
+for j in range(0, 100):
+    if results[j][-1] == wanted_cat:
+        i += 1
+
+print("total matched category(" + wanted_cat + ") found in first 100 row: " + str(i))
+
+# pprint([results[0], max_val, min_val])