# import pdb
# import pandas as pd
# import csv
from data_formatter import DataFormatter
## Load Data ##
path_to_dataset = "../../Data/train_100_events/"
event_path = "event000001052"
model_name = "identity.keras"
hits, cells, particles, truth = load_event(path_to_dataset + event_path)
# Get the sorted tracks
formatter = DataFormatter()
true_tracks, hit_tracks = formatter.getSortedTracks(particles, truth, hits)
## Load Predicted Seeds ##
seed_file = open("SeedCandidates.txt", "r")
our_tracks = []
seed_hits = []
np_hits = np.asarray(hits)
for seed_id in seed_file:
seed_id = int(float(seed_id.strip()))
seed_hit = np_hits[np_hits[:, 0] == seed_id][0]
our_tracks.append([int(seed_hit[0])])
seed_hits.append(seed_hit)
print("\nStarting with " + str(len(seed_hits)) + " seed hits")
## Evaluate Predicted Seeds ##
