Hi,
For ReIdentificationNet, a pre-trained model is available in the NGC catalog trainable_v1.1: resnet50_market1501_aicity156.tlt . I can’t find many information about the pre-trained process though.
In this great blogpost https://developer.nvidia.com/blog/enhance-multi-camera-tracking-accuracy-by-fine-tuning-ai-models-with-synthetic-data/, they are saying the network has been pre-trained using SOLIDER technic and on a dataset which:
includes a combination of NVIDIA proprietary datasets along with Open Images V5.
However in the NGC page, they are only mentioning market-1501 + synthetic IDs. Therefore, I am wondering on which dataset has the model been pre-trained? is it on a combination of NVIDIA proprietary datasets along with Open Images or is it on market-1501 + synthetic data?
Also the blog mention, fine-tuning using 4470 real IDs, does that mean the model tested here is different from deployable_v1.2 for NGC?
Thank you
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