Can you tell me how to track this part of the code to achieve tracking, I did not understand why it is to track and then use to track the training generated weight file, thank you #69

ss199302 · 2018-06-07T08:38:37Z

@Bendidi @Jumabek
if self.FLAGS.track :
if self.FLAGS.tracker == "deep_sort":
from deep_sort import generate_detections
from deep_sort.deep_sort import nn_matching
from deep_sort.deep_sort.tracker import Tracker
metric = nn_matching.NearestNeighborDistanceMetric(
"cosine", 0.2, 100)
tracker = Tracker(metric)
encoder = generate_detections.create_box_encoder(
os.path.abspath("deep_sort/resources/networks/mars-small128.ckpt-68577"))

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Can you tell me how to track this part of the code to achieve tracking, I did not understand why it is to track and then use to track the training generated weight file, thank you #69

Can you tell me how to track this part of the code to achieve tracking, I did not understand why it is to track and then use to track the training generated weight file, thank you #69

ss199302 commented Jun 7, 2018

Can you tell me how to track this part of the code to achieve tracking, I did not understand why it is to track and then use to track the training generated weight file, thank you #69

Can you tell me how to track this part of the code to achieve tracking, I did not understand why it is to track and then use to track the training generated weight file, thank you #69

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ss199302 commented Jun 7, 2018