ReIdentificationNet
Model
ReIdentificationNet

Re-Identification network to generate embeddings for identifying persons in different scenes.

5 Versions
deployable_v1.2Signed
01/13/2024 4:57 AM UTC91.93 MBAccuracy: 93.7120 EpochsBatch Size: 1GPU: V100
TAO Toolkit API
KeyValue
sha256_digest{'resnet50_market1501_aicity156.onnx': '0e21d09278508ec835955f422a9fdd3cd59b2a6ecdef98d705f388f33cebac2b'}
endpoints['re_identification']
format_version0.0.1
model_formatonnx
tao_version['>=5.0.0']
trainablefalse
01/13/2024 4:57 AM UTC91.93 MBAccuracy: 93.7120 EpochsBatch Size: 1GPU: V100
TAO Toolkit API
KeyValue
sha256_digest{'resnet50_market1501_aicity156.etlt': 'e9f097a9b9238eb4f4e94be506cbb6ccc8b5d7c563923e9dde8d3cec06ed580e'}
endpoints['re_identification']
format_version0.0.1
model_formatetlt
tao_version['>=5.0.0']
trainablefalse
trainable_v1.1SelectedSigned
01/13/2024 4:56 AM UTC324.6 MBAccuracy: 93.7120 EpochsBatch Size: 1GPU: V100
TAO Toolkit API
KeyValue
sha256_digest{'resnet50_market1501_aicity156.tlt': 'b4aae72d1ed664b3790cb607a351d83365c13627e457cffde009d3f474e655d9'}
endpoints['re_identification']
format_version0.0.1
model_formattlt
tao_version['>=5.0.0']
trainabletrue
01/04/2023 3:26 AM UTC324.07 MB
12/08/2022 11:32 PM UTC91.91 MBAccuracy: 93.7120 EpochsBatch Size: 1GPU: V100