Open-ReID
Notes
Overview of Open-ReID
Structure
Data Modules
Unified Data Format
Data Loading System
Evaluation Metrics
Examples
Training Identification Nets
Head First Example
Training Options
Datasets
Model Architectures
Multi-GPU and Batch Size
Resume from Checkpoints
Evaluate a Trained Model
Tips and Tricks
References
Benchmarks
CUHK03
Market1501
DukeMTMC
SDK Level Reference
reid.trainers
reid.evaluators
reid.dist_metric
API Level Reference
reid.datasets
reid.models
Open-ReID
Docs
»
Index
Index
B
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C
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D
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E
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I
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M
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P
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R
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T
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V
B
BaseTrainer (class in reid.trainers)
C
create() (in module reid.datasets)
(in module reid.models)
CUHK01 (class in reid.datasets)
CUHK03 (class in reid.datasets)
D
DistanceMetric (class in reid.dist_metric)
DukeMTMC (class in reid.datasets)
E
evaluate_all() (in module reid.evaluators)
Evaluator (class in reid.evaluators)
extract_features() (in module reid.evaluators)
I
inception() (in module reid.models)
InceptionNet (class in reid.models)
M
Market1501 (class in reid.datasets)
P
pairwise_distance() (in module reid.evaluators)
R
reid.datasets (module)
reid.dist_metric (module)
reid.evaluators (module)
reid.models (module)
reid.trainers (module)
ResNet (class in reid.models)
resnet101() (in module reid.models)
resnet152() (in module reid.models)
resnet18() (in module reid.models)
resnet34() (in module reid.models)
resnet50() (in module reid.models)
T
Trainer (class in reid.trainers)
V
VIPeR (class in reid.datasets)