Supplement #61
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Supplement #61
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Chrisqcwx
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Jun 16, 2024
* refactor gans and base * feat: add refactor for plg * feat: add refactor for plg * refactor: location of latents sampler * fix: some error * feat: add some comments * fix some error & add some docs * fix: detach * fix: parallel error * fix: parallel apply error * refactor: image classifier model forward * fix: hook error * fix error of classifier and add train example * fix: example error * refactor: remove some unuse * refactor: position of sampler * refactor attacker * feat: add preprocess datasets * feat: ppa * feat: add bido, vib, ls trainer * fix: some error * fix some error * feat: add constraint * feat: add brep optimization * feat: add rlb & mirror white * fix: out of memory * minor refactor * fix: warning when resize * refactor: reformat * fix: final evaluation * fix: final selection * fix: preprocess dataset error * feat: dataset preprocess * refactor: preprocess data * fix: dataset preprocess * fix: some error in examples * feat: add feature loss & fix: some typo * fix: description error for datasets * fix: typo * fix: typo and programma error * fix: metric batch * refactor lomma gmi * fix: classifier training * fix: train script for classifier * feat: dataset readme * fix: some error * fix: dataset error * fix: dataset * add: original ppa code * fix: remove unused code * add: split files * fix: some bugs * remove datasets * deleted: datasets/READba/README.md deleted: datasets/celeba/celeba_split.py deleted: datasets/hdceleba/README.md deleted: datasets/hdceleba/celeba_split.py renamed: datasets/celeba/split_files/private_test.txt -> src/modelinversion/datasets/split_files/private_test.txt renamed: datasets/celeba/split_files/private_train.txt -> src/modelinversion/datasets/split_files/private_train.txt renamed: datasets/celME.md deleted: datasets/celeeba/split_files/public.txt -> src/modelinversion/datasets/split_files/public.txt * feat: add some deep inversion loss & fix some error * fix: celeba train * remove incv1 * fix:some bugs * fix:log for classfier training * iter in gan training * minor modification * modified: examples/standard/attacks/gmi.py modified: examples/standard/gan_training/gmi.py modified: examples/standard/gan_training/plgmi.py modified: src/modelinversion/sampler/base.py modified: src/modelinversion/utils/hook.py * fix: dataset process in classifier training * modified: examples/standard/attacks/gmi.py * modified: examples/standard/gan_training/gmi.py modified: src/modelinversion/metrics/base.py * fix: acc in trainer * params in gmi * fix:set center crop as true * rename some classes * fix: programma error in loss * rename some classes * remove BaseTargetModel * feat: release some script & repr for loss * fix: generate dataset by generator * fix: reset params to <fill it> * feat: raise exception in torchvision wrapper * substitute Flatten with nn.Flatten * substitute Flatten with nn.Flatten * add ImageImageFolder declaration * fix: typo * fix: add abstract method to BaseImageGenerator * fix: correct a spelling mistake * fix: comments in scores * refactor: dataset & add ffhq * fix: ppa script error * rename GanTrainer * refactor gan * feat: add some comments in utils * add some comments in io.py * add some comments in io.py * add some comments in utils * feat: generator dataset * add acc var * feat: add attack flow * try fix: lokt gan * feat: add register for models * add register utils in __iit__ * feat: config mixin * feat: register for model config * feat: classifier wrapper config * feat: classifier config load successfully * feat: save config after train classifier * feat: config for GAN * feat: config in __init__ * save config in gan training * refactor: location of config * fix: vib config * feat: comments on ConfigMixin * fix: acc std * fix: acc metric * fix classifier * feat: lokt generation * fix: config error * fix: save error * refactor: remove some unuse * fix: metric exception * fix: plg gan * fix: ked gan train & metric; feat: tl training * fix: kedmi256 structure * feat: ked train script * refactor: rename some scripts * fix: deep inversion first bn weight * feat: add resnest * feat: Add BaseOutput for Optimization * fix: metric error * feat: add face dist & fix std error * fix: save metric resule * feat: post metric * refactor attacker * fix: final eval * fix: gather * fix: final selection * fix lomma gmi * fix: final selection * feat: add post evaluation * feat: add top k score optimized in genetic optimization * refactor: remove unuse package * add vmi (#60) * feat: add sampler * modified: examples/standard/attacks/vmi.py * feat: add latent sampler * feat: add optimization * feat: add optimization * feat: add optimization * feat: add loss for vmi * feat: add loss for vmi * feat: prepare for attack * feat: prepare for attack * fix: remove num_range * refactor: prepare single thread * feat: add single thread vmi * feat: add FlowConfig * feat: add multithread training * feat: add metrics * feat: add metrics * feat: add metrics * feat: add metrics * feat: add metrics * feat: add transform * fix: some minor bugs --------- Co-authored-by: final-solution <2507586353@qq.com> * fix: fid * feat: c2f * fix: c2f * feat: defense example * Supplement (#61) * add: parameter management * feat: extend the parameter management in the future * feat: extend the parameter management in the future * fix: new requirements * Update README.md * Update README.md * Update README.md * Update README.md * feat: README for examples/standard * feat: README for examples/standard --------- Co-authored-by: final-solution <2507586353@qq.com> Co-authored-by: Yixiang Qiu <99653938+final-solution@users.noreply.github.com> Co-authored-by: Wenbo Yu <cswbyu@163.com> --------- Co-authored-by: final-solution <2507586353@qq.com> Co-authored-by: Yixiang Qiu <99653938+final-solution@users.noreply.github.com> Co-authored-by: Wenbo Yu <cswbyu@163.com>
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