feat: histogram creation and training report

create_histogram.py

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+import json
+import matplotlib.pyplot as plt
+import numpy as np
+
+if __name__ == "__main__":
+    with open("training_report.json") as jsonfile:
+        from_json = json.load(jsonfile)
+        values = np.array(list(from_json.values()))
+        values = values.__abs__()
+        fig,ax = plt.subplots()
+        
+        ax.hist(values, bins=200 )
+        # ax.set_xscale('log')
+        ax.set_yscale('log')
+        ax.set_ylabel('Number of detections')
+        ax.set_xlabel('Error (s)')
+        ax.set_title(f'Histogram of error relative to marked start over the training dataset', fontweight='bold')
+        plt.show()
+