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requirements.txt
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requirements.txt
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# Automatically generated by https://github.com/damnever/pigar.
# zcls/data/datasets/lmdb_dataset.py: 15,19
# zcls/data/datasets/util.py: 14
# zcls/data/transforms/realization/autoaugment.py: 10
# zcls/util/collect_env.py: 9
Pillow_SIMD == 7.0.0.post3
# zcls/data/transforms/realization/center_crop.py: 10
# zcls/data/transforms/realization/coarse_dropout.py: 10
# zcls/data/transforms/realization/color_jitter.py: 10
# zcls/data/transforms/realization/horizontal_flip.py: 10
# zcls/data/transforms/realization/normalize.py: 10
# zcls/data/transforms/realization/random_crop.py: 10
# zcls/data/transforms/realization/resize.py: 13
# zcls/data/transforms/realization/rotate.py: 11
# zcls/data/transforms/realization/square_pad.py: 11
# zcls/data/transforms/realization/to_tensor.py: 10
# zcls/data/transforms/realization/vertical_flip.py: 10
albumentations == 1.0.3
# zcls/data/datasets/lmdb_dataset.py: 12
lmdb == 1.2.1
# zcls/data/datasets/util.py: 13
# zcls/data/transforms/realization/autoaugment.py: 9
# zcls/data/transforms/realization/resize.py: 11
# zcls/engine/trainer.py: 15
# zcls/model/conv_helper.py: 10
# zcls/model/layers/dbb_transforms.py: 2
# zcls/model/layers/diverse_branch_block.py: 13
# zcls/model/layers/repvgg_util.py: 12
# zcls/util/collect_env.py: 3
# zcls/util/cutmix.py: 13
# zcls/util/metric_logger.py: 2
# zcls/util/mixup.py: 13
numpy == 1.21.0
# zcls/data/datasets/util.py: 10
# zcls/data/transforms/realization/resize.py: 10
# zcls/data/transforms/realization/rotate.py: 10
# zcls/data/transforms/realization/square_pad.py: 10
# zcls/util/collect_env.py: 165
opencv_python == 4.5.3.56
# zcls/util/misc.py: 10
psutil == 5.8.0
# zcls/model/recognizers/resnet/official_resnest.py: 14
resnest == 0.0.6b20210114
# zcls/data/datasets/lmdb_dataset.py: 10
six == 1.16.0
# zcls/util/collect_env.py: 12
tabulate == 0.8.9
# zcls/util/metrics.py: 10,11
thop == 0.0.31.post2005241907
# zcls/data/build.py: 10,11
# zcls/data/dataloader/build.py: 12
# zcls/data/datasets/build.py: 10
# zcls/data/datasets/cifar.py: 10
# zcls/data/datasets/evaluator/base_evaluator.py: 11
# zcls/data/datasets/fashionmnist.py: 10
# zcls/data/datasets/general_dataset.py: 10
# zcls/data/datasets/general_dataset_v2.py: 13
# zcls/data/datasets/imagenet.py: 10
# zcls/data/datasets/lmdb_dataset.py: 16
# zcls/data/datasets/mp_dataset.py: 14
# zcls/data/samplers/distributed_sampler.py: 12,13,14
# zcls/engine/inference.py: 12
# zcls/engine/trainer.py: 13,16,18,19,45
# zcls/model/act_helper.py: 10
# zcls/model/backbones/ghostnet/ghost_backbone.py: 11
# zcls/model/backbones/ghostnet/ghost_bottleneck.py: 10
# zcls/model/backbones/ghostnet/ghost_module.py: 11,12
# zcls/model/backbones/misc.py: 10
# zcls/model/backbones/mobilenet/mnasnet_backbone.py: 12
# zcls/model/backbones/mobilenet/mnasnet_unit.py: 11
# zcls/model/backbones/mobilenet/mobilenetv1_backbone.py: 11
# zcls/model/backbones/mobilenet/mobilenetv1_block.py: 11
# zcls/model/backbones/mobilenet/mobilenetv2_backbone.py: 11
# zcls/model/backbones/mobilenet/mobilenetv2_block.py: 11
# zcls/model/backbones/mobilenet/mobilenetv2_inverted_residual.py: 11
# zcls/model/backbones/mobilenet/mobilenetv3_backbone.py: 12
# zcls/model/backbones/mobilenet/mobilenetv3_unit.py: 11
# zcls/model/backbones/resnet/basicblock.py: 11
# zcls/model/backbones/resnet/bottleneck.py: 11
# zcls/model/backbones/resnet/resnest_block.py: 11
# zcls/model/backbones/resnet/resnet3d_backbone.py: 11
# zcls/model/backbones/resnet/resnet3d_basicblock.py: 11
# zcls/model/backbones/resnet/resnet3d_bottleneck.py: 11
# zcls/model/backbones/resnet/resnet_backbone.py: 11
# zcls/model/backbones/resnet/resnet_d_backbone.py: 11
# zcls/model/backbones/resnet/sknet_block.py: 11
# zcls/model/backbones/shufflenet/shufflenetv1_backbone.py: 12
# zcls/model/backbones/shufflenet/shufflenetv1_unit.py: 12,13
# zcls/model/backbones/shufflenet/shufflenetv2_backbone.py: 12
# zcls/model/backbones/shufflenet/shufflenetv2_unit.py: 11,12
# zcls/model/backbones/vgg/repvgg_backbone.py: 10
# zcls/model/conv_helper.py: 11,12
# zcls/model/criterions/crossentropy_loss.py: 11
# zcls/model/criterions/label_smoothing_loss.py: 12,13,14
# zcls/model/heads/general_head_2d.py: 11,12
# zcls/model/heads/general_head_3d.py: 11,12
# zcls/model/heads/mobilenetv3_head.py: 11,12
# zcls/model/init_helper.py: 11,12
# zcls/model/layers/acb_util.py: 10
# zcls/model/layers/asymmetric_convolution_block.py: 10
# zcls/model/layers/batch_norm_2d.py: 11,12
# zcls/model/layers/dbb_transforms.py: 1,3
# zcls/model/layers/diverse_branch_block.py: 11,14,15
# zcls/model/layers/global_context_block.py: 10,11
# zcls/model/layers/group_norm.py: 10,11
# zcls/model/layers/group_norm_wrapper.py: 10
# zcls/model/layers/layer_norm.py: 10,11
# zcls/model/layers/non_local_embedded_gaussian.py: 10,11
# zcls/model/layers/place_holder.py: 11
# zcls/model/layers/repvgg_block.py: 10
# zcls/model/layers/repvgg_util.py: 10,11
# zcls/model/layers/selective_kernel_conv2d.py: 11,12,13
# zcls/model/layers/simplified_non_local_embedded_gaussian.py: 10,11
# zcls/model/layers/split_attention_conv2d.py: 11,13,14
# zcls/model/layers/squeeze_and_excitation_block.py: 10
# zcls/model/misc.py: 11,13
# zcls/model/norm_helper.py: 10
# zcls/model/recognizers/base_recognizer.py: 12,13
# zcls/model/recognizers/build.py: 10
# zcls/model/recognizers/mobilenet/mobilenetv3.py: 10
# zcls/model/recognizers/mobilenet/torchvision_mnasnet.py: 12
# zcls/model/recognizers/mobilenet/torchvision_mobilenetv2.py: 11
# zcls/model/recognizers/mobilenet/torchvision_mobilenetv3.py: 11
# zcls/model/recognizers/resnet/official_resnest.py: 11,12
# zcls/model/recognizers/resnet/torchvision_resnet.py: 12,13
# zcls/model/recognizers/shufflenet/torchvision_sfv2.py: 12,13
# zcls/optim/lr_schedulers/build.py: 10
# zcls/optim/lr_schedulers/cosine_annealing_lr.py: 10,11
# zcls/optim/lr_schedulers/gradual_warmup.py: 10,11
# zcls/optim/lr_schedulers/multistep_lr.py: 10,11
# zcls/optim/optimizers/adam.py: 10,11
# zcls/optim/optimizers/build.py: 10
# zcls/optim/optimizers/rmsprop.py: 10
# zcls/optim/optimizers/sgd.py: 10,11
# zcls/util/checkpoint.py: 7,9
# zcls/util/collect_env.py: 19,24,65
# zcls/util/cutmix.py: 11
# zcls/util/distributed.py: 9,10
# zcls/util/metric_logger.py: 4
# zcls/util/misc.py: 11,12
# zcls/util/mixup.py: 11
# zcls/util/multiprocessing.py: 6
# zcls/util/precise_bn.py: 15,16
# zcls/util/prefetcher.py: 10,11
torch == 1.10.0
# zcls/data/datasets/cifar.py: 11
# zcls/data/datasets/fashionmnist.py: 11
# zcls/data/datasets/general_dataset.py: 11
# zcls/data/datasets/imagenet.py: 11
# zcls/data/transforms/build.py: 10,11
# zcls/data/transforms/realization/autoaugment.py: 12,13
# zcls/model/backbones/resnet/resnet3d_backbone.py: 12,13
# zcls/model/recognizers/mobilenet/mobilenetv3.py: 11
# zcls/model/recognizers/mobilenet/torchvision_mnasnet.py: 13
# zcls/model/recognizers/mobilenet/torchvision_mobilenetv2.py: 12
# zcls/model/recognizers/mobilenet/torchvision_mobilenetv3.py: 12
# zcls/model/recognizers/resnet/torchvision_resnet.py: 14
# zcls/model/recognizers/shufflenet/torchvision_sfv2.py: 14
# zcls/util/collect_env.py: 11
torchvision == 0.11.1
# zcls/engine/inference.py: 13
tqdm == 4.61.2
# zcls/config/configs/dataloader.py: 10
# zcls/config/configs/dataset.py: 10
# zcls/config/configs/defaults.py: 1
# zcls/config/configs/lr_scheduler.py: 10
# zcls/config/configs/model.py: 10
# zcls/config/configs/optimizer.py: 10
# zcls/config/configs/transform.py: 10
# zcls/util/parser.py: 11
yacs == 0.1.8