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2021-03-01Merge branch 'data_parallel' into data_parallel_py3.8Jordan Gong
2021-03-01Bug fixesJordan Gong
2021-03-01Merge branch 'data_parallel' into data_parallel_py3.8Jordan Gong
# Conflicts: # models/model.py # utils/configuration.py # utils/triplet_loss.py
2021-03-01Merge branch 'master' into data_parallelJordan Gong
# Conflicts: # models/model.py
2021-03-01New scheduler and new configJordan Gong
2021-03-01Move pairs variable to localJordan Gong
2021-02-28Implement sum of loss default in [1]Jordan Gong
[1]A. Hermans, L. Beyer, and B. Leibe, “In defense of the triplet loss for person re-identification,” arXiv preprint arXiv:1703.07737, 2017.
2021-02-28Log n-ile embedding distance and normJordan Gong
2021-02-28Modify default parametersJordan Gong
1. Change ReLU to Leaky ReLU in decoder 2. Add 8-scale-pyramid in HPM
2021-02-27Implement Batch Hard triplet loss and soft marginJordan Gong
2021-02-26Merge branch 'data_parallel' into data_parallel_py3.8Jordan Gong
# Conflicts: # models/part_net.py # models/rgb_part_net.py
2021-02-26Merge branch 'master' into data_parallelJordan Gong
# Conflicts: # models/model.py
2021-02-26Fix predict functionJordan Gong
2021-02-21Remove FConv blocksJordan Gong
2021-02-20Merge branch 'python3.8' into data_parallel_py3.8Jordan Gong
# Conflicts: # models/model.py
2021-02-20Merge branch 'master' into python3.8Jordan Gong
# Conflicts: # models/model.py # models/rgb_part_net.py
2021-02-20Separate triplet loss from modelJordan Gong
2021-02-20Merge branch 'master' into data_parallelJordan Gong
# Conflicts: # models/model.py
2021-02-20Separate triplet loss from modelJordan Gong
2021-02-19Merge branch 'data_parallel' into data_parallel_py3.8Jordan Gong
2021-02-19Correct cross reconstruction loss calculated in DataParallelJordan Gong
2021-02-19Merge branch 'python3.8' into data_parallel_py3.8Jordan Gong
2021-02-19Merge branch 'master' into data_parallelJordan Gong
2021-02-19Merge branch 'master' into python3.8Jordan Gong
2021-02-19Allow evaluate unfinished modelJordan Gong
2021-02-19Merge branch 'python3.8' into data_parallel_py3.8Jordan Gong
2021-02-18Merge branch 'master' into data_parallel_py3.8Jordan Gong
2021-02-18Merge branch 'master' into data_parallelJordan Gong
2021-02-18Merge branch 'master' into python3.8Jordan Gong
2021-02-18Implement adjustable input size and change some default configsJordan Gong
2021-02-18Remove 1x1 conv layers when not usedJordan Gong
2021-02-18Decode mean appearance featureJordan Gong
2021-02-18Decode mean appearance featureJordan Gong
2021-02-16Merge branch 'python3.8' into data_parallel_py3.8Jordan Gong
2021-02-16Merge branch 'master' into data_parallelJordan Gong
2021-02-16Merge branch 'master' into python3.8Jordan Gong
# Conflicts: # models/model.py
2021-02-16Split transform and evaluate methodJordan Gong
2021-02-15Merge branch 'data_parallel' into data_parallel_py3.8Jordan Gong
2021-02-15Add DataParallel support on new codebaseJordan Gong
2021-02-15Merge branch 'python3.8' into data_parallel_py3.8Jordan Gong
# Conflicts: # models/model.py # models/rgb_part_net.py
2021-02-15Add DataParallel support on new codebaseJordan Gong
2021-02-15Revert "Memory usage improvement"Jordan Gong
This reverts commit be508061
2021-02-15Revert "Memory usage improvement"Jordan Gong
This reverts commit be508061
2021-02-14Merge branch 'master' into python3.8Jordan Gong
2021-02-14Memory usage improvementJordan Gong
This update separates input data to two batches, which reduces ~30% memory usage.
2021-02-14Prepare for DataParallelJordan Gong
2021-02-10Merge branch 'master' into python3.8Jordan Gong
2021-02-10Save scheduler state_dictJordan Gong
2021-02-09Merge branch 'master' into python3.8Jordan Gong
# Conflicts: # models/rgb_part_net.py
2021-02-09Improve performance when disentanglingJordan Gong
This is a HUGE performance optimization, up to 2x faster than before. Mainly because of the replacement of randomized for-loop with randomized tensor.
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