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ReIdentificationNet

lastmod 2024-07-11created 2024-07-111 edits

ReIdentificationNet takes cropped images of a person from different perspectives as network input and outputs embedding features for that person. The embeddings are used to perform similarity matching to re-identify the same person. The model supported in the current version is based on ResNet, the most commonly used baseline for re-identification due to its high accuracy.

Sample

Multi-camera-tracking-ReIdentificationNet.gif

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