update

contrast/utils/tools.py

@@ -0,0 +1,56 @@
+# -*- coding: utf-8 -*-
+"""
+Created on Thu Oct 31 15:17:01 2024
+
+@author: ym
+"""
+import numpy as np
+import matplotlib.pyplot as plt
+
+
+
+def showHist(err, correct):
+    err = np.array(err)
+    correct = np.array(correct)
+
+    fig, axs = plt.subplots(2, 1)
+    axs[0].hist(err, bins=50, edgecolor='black')
+    axs[0].set_xlim([0, 1])
+    axs[0].set_title('err')
+
+    axs[1].hist(correct, bins=50, edgecolor='black')
+    axs[1].set_xlim([0, 1])
+    axs[1].set_title('correct')
+    # plt.show()
+    
+    return plt
+
+def show_recall_prec(recall, prec, ths):
+    # x = np.linspace(start=-0, stop=1, num=11, endpoint=True).tolist()
+    fig = plt.figure(figsize=(10, 6))
+    plt.plot(ths, recall, color='red', label='recall')
+    plt.plot(ths, prec, color='blue', label='PrecisePos')
+    plt.legend()
+    plt.xlabel(f'threshold')
+    # plt.ylabel('Similarity')
+    plt.grid(True, linestyle='--', alpha=0.5)
+    # plt.savefig('accuracy_recall_grid.png')
+    # plt.show()
+    # plt.close()
+    
+    return plt
+
+
+def compute_recall_precision(err_similarity, correct_similarity):
+    ths = np.linspace(0, 1, 51)
+    recall, prec = [], []
+    for th in ths:
+        TP = len([num for num in correct_similarity if num >= th])
+        FP = len([num for num in err_similarity if num >= th])
+        if (TP+FP) == 0:
+            prec.append(1)
+            recall.append(0)
+        else:
+            prec.append(TP / (TP + FP))
+            recall.append(TP / (len(err_similarity) + len(correct_similarity)))
+    return recall, prec, ths