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2020-12-27Refine auto-encoderJordan Gong
1. Wrap fully connected layers 2. Introduce hyperparameter tuning in constructor
2020-12-27Adopt type hinting generics in standard collections (PEP 585)Jordan Gong
2020-12-26Implement batch splitter to split sampled dataJordan Gong
Disentanglement cannot be processed on different subjects at the same time, we need to load `pr` subjects one by one. The batch splitter will return a pr-length list of tuples (with 2 dicts containing k-length lists of labels, conditions, view and k-length tensor of clip data, representing condition 1 and condition 2 respectively).
2020-12-24Implement Horizontal Pyramid Matching (HPM)Jordan Gong
2020-12-24Optimize importsJordan Gong
2020-12-24Change the usage of layers and reorganize relations of layersJordan Gong
1. Add batch normalization and activation to layers 2. VGGConv2d and FocalConv2d inherits to BasicConv2d; DCGANConvTranspose2d inherits to BasicConvTranspose2d
2020-12-23Make activation inplaceJordan Gong
2020-12-23Modify activation functions after conv or trans-conv in auto-encoderJordan Gong
1. Make activation functions be inplace ops 2. Change Leaky ReLU to ReLU in decoder
2020-12-23Refactor and refine auto-encoderJordan Gong
1. Wrap Conv2d 3x3-padding-1 to VGGConv2d 2. Wrap ConvTranspose2d 4x4-stride-4-padding-1 to DCGANConvTranspose2d 3. Turn off bias in conv since the employment of batch normalization
2020-12-23Wrap Conv1d no bias layerJordan Gong
2020-12-23Reshape feature before decodeJordan Gong
2020-12-23Remove redundant Leaky ReLU in FocalConv2dJordan Gong
2020-12-23Split modules to different filesJordan Gong