fix: updates from draft response

Todo.md

@@ -1,7 +1,15 @@
-- [x] Finish second experiment and get results.
-- [ ] Write more related work
-- [ ] Henry write section on Research implementation about permutations
-- [ ] Provide details on selected parameters and why they are tuned the way they are.
-- [x] Permutations results and tables need to be added
-- [x] Tables and Figures shall be labeled with chapter.number, for example Table 4.1 and Figure 1.6.
-- [x] Maybe write more about limitations and reliability/validity
+- [x] Ease into intro and abstract better
+- [x] No full names of papers
+- [x] Present or past tense only
+- [ ] Move placement of descriptions of vertical/horizontal approaches
+- [x] Move Theory chapter before method
+- [x] Figure captions should have a period
+- [x] Make sure figure numbers match in text
+- [x] All figures need to be mentioned in text
+- [ ] More references if possible
+- [x] Figures != Tables
+- [x] Move 2.6 Research Gap Into Intro
+- [ ] Make graphs fonts bigger
+ - [ ] 5.13
+ - [ ] 5.15
+ - [ ] 5.16

Writing/Results/California/Graphs/Permutations.py

@@ -0,0 +1,160 @@
+import matplotlib.pyplot as plt
+import numpy as np
+
+# Sample data (Replace these with actual data from your graph)
+time_elapsed = [
+ 100,
+ 150,
+ 200,
+ 300,
+ 700,
+ 800,
+ 500,
+ 300,
+ 250,
+ 400,
+ 450,
+ 350,
+ 250,
+ 200,
+ 150,
+ 100,
+ 50,
+ 25,
+ 30,
+ 40,
+ 60,
+ 80,
+ 100,
+ 120,
+]
+precision = [
+ 0.98,
+ 0.97,
+ 0.96,
+ 0.95,
+ 0.94,
+ 0.93,
+ 0.92,
+ 0.91,
+ 0.90,
+ 0.89,
+ 0.88,
+ 0.87,
+ 0.86,
+ 0.85,
+ 0.84,
+ 0.83,
+ 0.82,
+ 0.81,
+ 0.80,
+ 0.79,
+ 0.78,
+ 0.77,
+ 0.76,
+ 0.75,
+]
+recall = [
+ 0.95,
+ 0.94,
+ 0.93,
+ 0.92,
+ 0.91,
+ 0.90,
+ 0.89,
+ 0.88,
+ 0.87,
+ 0.86,
+ 0.85,
+ 0.84,
+ 0.83,
+ 0.82,
+ 0.81,
+ 0.80,
+ 0.79,
+ 0.78,
+ 0.77,
+ 0.76,
+ 0.75,
+ 0.74,
+ 0.73,
+ 0.72,
+]
+f1_score = [
+ 0.96,
+ 0.95,
+ 0.94,
+ 0.93,
+ 0.92,
+ 0.91,
+ 0.90,
+ 0.89,
+ 0.88,
+ 0.87,
+ 0.86,
+ 0.85,
+ 0.84,
+ 0.83,
+ 0.82,
+ 0.81,
+ 0.80,
+ 0.79,
+ 0.78,
+ 0.77,
+ 0.76,
+ 0.75,
+ 0.74,
+ 0.73,
+]
+accuracy = [
+ 0.97,
+ 0.96,
+ 0.95,
+ 0.94,
+ 0.93,
+ 0.92,
+ 0.91,
+ 0.90,
+ 0.89,
+ 0.88,
+ 0.87,
+ 0.86,
+ 0.85,
+ 0.84,
+ 0.83,
+ 0.82,
+ 0.81,
+ 0.80,
+ 0.79,
+ 0.78,
+ 0.77,
+ 0.76,
+ 0.75,
+ 0.74,
+]
+
+x = np.arange(len(time_elapsed))
+
+fig, ax1 = plt.subplots(figsize=(14, 7))
+
+color = "tab:purple"
+ax1.set_xlabel("Index", fontsize=20)
+ax1.set_ylabel("Elapsed Time (seconds)", color=color, fontsize=18)
+ax1.bar(x, time_elapsed, color=color, alpha=0.6, label="Time Elapsed (s)")
+ax1.tick_params(axis="y", labelcolor=color)
+ax1.tick_params(axis="x", labelsize=16)
+ax1.tick_params(axis="y", labelsize=16)
+
+ax2 = ax1.twinx()
+ax2.set_ylabel("Performance Metrics (%)", fontsize=20)
+ax2.plot(x, precision, "r-o", label="Precision (%)", linewidth=2)
+ax2.plot(x, recall, "g-o", label="Recall (%)", linewidth=2)
+ax2.plot(x, f1_score, "m-o", label="F1-Score (%)", linewidth=2)
+ax2.plot(x, accuracy, "b-o", label="Accuracy (%)", linewidth=2)
+ax2.tick_params(axis="y", labelsize=16)
+ax2.set_ylim(0, 1)
+
+fig.tight_layout()
+fig.legend(loc="upper left", bbox_to_anchor=(0.1, 0.9), fontsize=16)
+plt.title("Performance Metrics and Elapsed Time", fontsize=18)
+plt.show()

Writing/Results/Finger Prints/Results/Graphs/Permutations.py

@@ -0,0 +1,138 @@
+import matplotlib.pyplot as plt
+import numpy as np
+
+# Data from the table
+algorithms = [
+ "Phash, SIFT, VGG",
+ "Phash, SIFT, Dhash",
+ "Phash, Dhash, VGG",
+ "Phash, Dhash, SIFT",
+ "Dhash, VGG, SIFT",
+ "Dhash, VGG, Phash",
+ "Dhash, SIFT, VGG",
+ "Dhash, SIFT, Phash",
+ "Dhash, Phash, VGG",
+ "Dhash, Phash, SIFT",
+ "Phash, VGG, Dhash",
+ "Phash, VGG, SIFT",
+ "SIFT, Dhash, Phash",
+ "SIFT, Dhash, VGG",
+ "SIFT, Phash, Dhash",
+ "SIFT, Phash, VGG",
+ "SIFT, VGG, Dhash",
+ "SIFT, VGG, Phash",
+ "VGG, Dhash, Phash",
+ "VGG, Dhash, SIFT",
+ "VGG, Phash, Dhash",
+ "VGG, Phash, SIFT",
+ "VGG, SIFT, Dhash",
+ "VGG, SIFT, Phash",
+]
+time_elapsed = [
+ 4.67,
+ 3.19,
+ 8.53,
+ 3.18,
+ 9.00,
+ 9.11,
+ 4.90,
+ 3.25,
+ 8.21,
+ 3.22,
+ 8.90,
+ 8.98,
+ 3.26,
+ 4.35,
+ 3.26,
+ 4.18,
+ 4.34,
+ 4.30,
+ 8.62,
+ 8.88,
+ 8.79,
+ 8.64,
+ 8.78,
+ 8.68,
+]
+accuracy = [
+ 90.41,
+ 100.00,
+ 48.89,
+ 100.00,
+ 35.71,
+ 35.71,
+ 87.84,
+ 100.00,
+ 48.53,
+ 100.00,
+ 39.36,
+ 39.36,
+ 100.00,
+ 96.34,
+ 100.00,
+ 98.72,
+ 96.34,
+ 96.34,
+ 23.99,
+ 23.99,
+ 23.99,
+ 23.99,
+ 23.99,
+ 23.99,
+]
+group_numbers = [
+ 30,
+ 28,
+ 17,
+ 28,
+ 13,
+ 13,
+ 29,
+ 28,
+ 17,
+ 28,
+ 13,
+ 13,
+ 28,
+ 30,
+ 28,
+ 31,
+ 30,
+ 30,
+ 6,
+ 6,
+ 6,
+ 6,
+ 6,
+ 6,
+]
+
+x = np.arange(len(algorithms))
+
+fig, ax1 = plt.subplots(figsize=(14, 8))
+
+color = "blue"
+ax1.set_xlabel("Algorithms Combination", fontsize=16)
+ax1.set_ylabel("Time Elapsed (s)", color=color, fontsize=16)
+ax1.bar(x, time_elapsed, color=color, label="Time Elapsed (s)")
+ax1.tick_params(axis="y", labelcolor=color)
+ax1.tick_params(axis="x", rotation=90, labelsize=14)
+
+ax2 = ax1.twinx()
+color = "red"
+ax2.set_ylabel("Accuracy (%)", color=color, fontsize=16)
+ax2.plot(x, accuracy, color=color, marker="o", label="Accuracy (%)")
+ax2.tick_params(axis="y", labelcolor=color)
+ax2.tick_params(axis="x", labelsize=14)
+
+ax3 = ax1.twinx()
+color = "green"
+ax3.spines["right"].set_position(("outward", 60))
+ax3.set_ylabel("Group Numbers", color=color, fontsize=16)
+ax3.plot(x, group_numbers, color=color, marker="s", label="Group Numbers")
+ax3.tick_params(axis="y", labelcolor=color)
+ax3.tick_params(axis="x", labelsize=14)
+
+fig.tight_layout()
+fig.legend(loc="upper left", bbox_to_anchor=(0.1, 0.9), fontsize=14)
+plt.show()