Age | Commit message (Collapse) | Author | |
---|---|---|---|
2021-02-19 | Merge branch 'python3.7' into disentangling_only_py3.7disentangling_only_py3.7 | Jordan Gong | |
# Conflicts: # models/model.py # utils/configuration.py | |||
2021-02-19 | Merge branch 'python3.8' into disentangling_only_py3.8 | Jordan Gong | |
# Conflicts: # models/hpm.py # models/layers.py # models/model.py # models/part_net.py # models/rgb_part_net.py # utils/configuration.py | |||
2021-02-19 | New branch with auto-encoder only | Jordan Gong | |
2021-02-19 | Merge branch 'python3.8' into python3.7 | Jordan Gong | |
2021-02-19 | Merge branch 'master' into python3.8 | Jordan Gong | |
2021-02-19 | Allow evaluate unfinished model | Jordan Gong | |
2021-02-18 | Type hint fixes | Jordan Gong | |
2021-02-18 | Merge branch 'python3.8' into python3.7 | Jordan Gong | |
2021-02-18 | Merge branch 'master' into python3.8 | Jordan Gong | |
2021-02-18 | Implement adjustable input size and change some default configs | Jordan Gong | |
2021-02-18 | Remove 1x1 conv layers when not used | Jordan Gong | |
2021-02-18 | Decode mean appearance feature | Jordan Gong | |
2021-02-18 | Decode mean appearance feature | Jordan Gong | |
2021-02-16 | Merge branch 'python3.8' into python3.7 | Jordan Gong | |
2021-02-16 | Merge branch 'master' into python3.8 | Jordan Gong | |
# Conflicts: # models/model.py | |||
2021-02-16 | Split transform and evaluate method | Jordan Gong | |
2021-02-15 | Revert "Memory usage improvement" | Jordan Gong | |
This reverts commit be508061 | |||
2021-02-15 | Revert "Memory usage improvement" | Jordan Gong | |
This reverts commit be508061 | |||
2021-02-15 | Revert "Memory usage improvement" | Jordan Gong | |
This reverts commit be508061 | |||
2021-02-14 | Merge branch 'python3.8' into python3.7 | Jordan Gong | |
2021-02-14 | Merge branch 'master' into python3.8 | Jordan Gong | |
2021-02-14 | Memory usage improvement | Jordan Gong | |
This update separates input data to two batches, which reduces ~30% memory usage. | |||
2021-02-14 | Prepare for DataParallel | Jordan Gong | |
2021-02-10 | Merge branch 'python3.8' into python3.7 | Jordan Gong | |
# Conflicts: # utils/configuration.py | |||
2021-02-10 | Merge branch 'master' into python3.8 | Jordan Gong | |
2021-02-10 | Save scheduler state_dict | Jordan Gong | |
2021-02-09 | Merge branch 'python3.8' into python3.7 | Jordan Gong | |
2021-02-09 | Merge branch 'master' into python3.8 | Jordan Gong | |
# Conflicts: # models/rgb_part_net.py | |||
2021-02-09 | Improve performance when disentangling | Jordan 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. | |||
2021-02-09 | Some optimizations | Jordan Gong | |
1. Scheduler will decay the learning rate of auto-encoder only 2. Write learning rate history to tensorboard 3. Reduce image log frequency | |||
2021-02-08 | Merge branch 'python3.8' into python3.7 | Jordan Gong | |
# Conflicts: # utils/configuration.py | |||
2021-02-08 | Merge branch 'master' into python3.8 | Jordan Gong | |
# Conflicts: # models/hpm.py # models/layers.py # models/model.py # models/rgb_part_net.py # utils/configuration.py | |||
2021-02-08 | Code refactoring, modifications and new features | Jordan Gong | |
1. Decode features outside of auto-encoder 2. Turn off HPM 1x1 conv by default 3. Change canonical feature map size from `feature_channels * 8 x 4 x 2` to `feature_channels * 2 x 16 x 8` 4. Use mean of canonical embeddings instead of mean of static features 5. Calculate static and dynamic loss separately 6. Calculate mean of parts in triplet loss instead of sum of parts 7. Add switch to log disentangled images 8. Change default configuration | |||
2021-01-23 | Remove the third term in canonical consistency loss | Jordan Gong | |
2021-01-23 | Add late start support for non-disentangling parts | Jordan Gong | |
2021-01-23 | Transform all frames together in evaluation | Jordan Gong | |
2021-01-23 | Merge branch 'python3.8' into python3.7 | Jordan Gong | |
# Conflicts: # models/model.py | |||
2021-01-23 | Type hint fixes | Jordan Gong | |
2021-01-23 | Merge branch 'master' into python3.8 | Jordan Gong | |
2021-01-23 | Evaluation bug fixes and code review | Jordan Gong | |
1. Return full cached clip in evaluation 2. Add multi-iter checkpoints support in evaluation 3. Remove duplicated code while transforming | |||
2021-01-22 | Handle unexpected restore iter | Jordan Gong | |
1. Skip finished model before load it 2. Raise error when restore iter is greater than total iter | |||
2021-01-21 | Merge branch 'python3.8' into python3.7 | Jordan Gong | |
# Conflicts: # utils/configuration.py | |||
2021-01-21 | A type hint fix | Jordan Gong | |
2021-01-21 | Merge branch 'master' into python3.8 | Jordan Gong | |
# Conflicts: # utils/configuration.py | |||
2021-01-21 | Print average losses after 100 iters | Jordan Gong | |
2021-01-21 | Bug fixes | Jordan Gong | |
1. Turn off autograd while decoding canonical and pose features 2. Change default batch size to (4, 8) | |||
2021-01-14 | Enable optimizer fine tuning | Jordan Gong | |
2021-01-14 | Merge branch 'python3.8' into python3.7 | Jordan Gong | |
2021-01-14 | Remove DataParallel | Jordan Gong | |
2021-01-14 | Remove DataParallel | Jordan Gong | |