Age | Commit message (Collapse) | Author | |
---|---|---|---|
2020-12-23 | Modify activation functions after conv or trans-conv in auto-encoder | Jordan Gong | |
1. Make activation functions be inplace ops 2. Change Leaky ReLU to ReLU in decoder | |||
2020-12-23 | Refactor and refine auto-encoder | Jordan 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 | |||
2020-12-23 | Wrap Conv1d no bias layer | Jordan Gong | |
2020-12-23 | Reshape feature before decode | Jordan Gong | |
2020-12-23 | Remove redundant Leaky ReLU in FocalConv2d | Jordan Gong | |
2020-12-23 | Split modules to different files | Jordan Gong | |
2020-12-22 | Remove unused Matplotlib dependency | Jordan Gong | |
2020-12-22 | Implement prototype layers | Jordan Gong | |
2020-12-22 | Enforce PEP 8 length limit | Jordan Gong | |
2020-12-21 | Change image loading technique | Jordan Gong | |
1. Use Pillow.Image.open instead of torchvision.io.read_image to read image 2. Transforming PIL images instead of tensors which performs better and device option is removed 3. Images are normalized now | |||
2020-12-19 | 1. Delete unused transform function | Jordan Gong | |
2. Reorganize the initialization cache dicts | |||
2020-12-19 | Fix indexing error when no clip to be discard | Jordan Gong | |
2020-12-19 | Add cache switch, allowing load all data into RAM before sampling | Jordan Gong | |
2020-12-18 | Add torch and numpy to requirements.txt | Jordan Gong | |
2020-12-18 | Implement triplet sampler | Jordan Gong | |
2020-12-18 | Implement CASIA-B dataset | Jordan Gong | |
2020-12-16 | Ignore dataset | Jordan Gong | |
2020-12-16 | Init the repo | Jordan Gong | |