DeepSORT does not need to train, only used for evaluation. Before DeepSORT evaluation, you should get detection results by a detection model first, here we use JDE, and then prepare them like this:
DeepSORT does not need to train, only used for evaluation. Before DeepSORT evaluation, you should get detection results by a detection model first, here we use JDE, and then prepare them like this:
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@@ -80,7 +80,7 @@ Each txt is the detection result of all the pictures extracted from each video,
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@@ -80,7 +80,7 @@ Each txt is the detection result of all the pictures extracted from each video,
-`conf` is the object score with default value `1` (the results had been filtered out according to the detection score threshold)
-`conf` is the object score with default value `1` (the results had been filtered out according to the detection score threshold)