forked from jeonsworld/ViT-pytorch
-
Notifications
You must be signed in to change notification settings - Fork 0
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
- Loading branch information
Showing
66 changed files
with
53,509 additions
and
72 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,5 @@ | ||
|
|
||
| ```commandline | ||
| cd checkpoints/pretrained_ckpts/ | ||
| !wget https://storage.googleapis.com/vit_models/imagenet21k/ViT-B_16.npz | ||
| ``` |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,72 @@ | ||
| import cdfsl_dataset.meta_dataset_processing | ||
| import meta_dataset.data.decoder | ||
|
|
||
| # Default values for sampling variable shots / ways. | ||
| EpisodeDescriptionConfig.min_ways = 5 | ||
| EpisodeDescriptionConfig.max_ways_upper_bound = 50 | ||
| EpisodeDescriptionConfig.max_num_query = 10 | ||
| EpisodeDescriptionConfig.max_support_set_size = 100 #500 | ||
| EpisodeDescriptionConfig.max_support_size_contrib_per_class = 10 #100 | ||
| EpisodeDescriptionConfig.min_log_weight = -0.69314718055994529 # np.log(0.5) | ||
| EpisodeDescriptionConfig.max_log_weight = 0.69314718055994529 # np.log(2) | ||
| EpisodeDescriptionConfig.ignore_dag_ontology = False | ||
| EpisodeDescriptionConfig.ignore_bilevel_ontology = False | ||
| EpisodeDescriptionConfig.ignore_hierarchy_probability = 0.0 | ||
| EpisodeDescriptionConfig.simclr_episode_fraction = 0.0 | ||
|
|
||
| # Other default values for the data pipeline. | ||
| DataConfig.image_height = 126 | ||
| DataConfig.shuffle_buffer_size = 1000 | ||
| DataConfig.read_buffer_size_bytes = 1048576 # 1 MB (1024**2) | ||
| DataConfig.num_prefetch = 400 | ||
|
|
||
| meta_dataset_processing.ImageDecoder.image_size = 126 | ||
|
|
||
| # If we decode features then change the lines below to use FeatureDecoder. | ||
| process_episode.support_decoder = @support/meta_dataset_processing.ImageDecoder() | ||
| support/meta_dataset_processing.ImageDecoder.data_augmentation = @support/meta_dataset_processing.DataAugmentation() | ||
| support/meta_dataset_processing.DataAugmentation.enable_jitter = True | ||
| support/meta_dataset_processing.DataAugmentation.jitter_amount = 0 | ||
| support/meta_dataset_processing.DataAugmentation.enable_gaussian_noise = True | ||
| support/meta_dataset_processing.DataAugmentation.gaussian_noise_std = 0.0 | ||
| support/meta_dataset_processing.DataAugmentation.enable_random_flip = False | ||
| support/meta_dataset_processing.DataAugmentation.enable_random_brightness = False | ||
| support/meta_dataset_processing.DataAugmentation.random_brightness_delta = 0 | ||
| support/meta_dataset_processing.DataAugmentation.enable_random_contrast = False | ||
| support/meta_dataset_processing.DataAugmentation.random_contrast_delta = 0 | ||
| support/meta_dataset_processing.DataAugmentation.enable_random_hue = False | ||
| support/meta_dataset_processing.DataAugmentation.random_hue_delta = 0 | ||
| support/meta_dataset_processing.DataAugmentation.enable_random_saturation = False | ||
| support/meta_dataset_processing.DataAugmentation.random_saturation_delta = 0 | ||
|
|
||
| process_episode.query_decoder = @query/meta_dataset_processing.ImageDecoder() | ||
| query/meta_dataset_processing.ImageDecoder.data_augmentation = @query/meta_dataset_processing.DataAugmentation() | ||
| query/meta_dataset_processing.DataAugmentation.enable_jitter = False | ||
| query/meta_dataset_processing.DataAugmentation.jitter_amount = 0 | ||
| query/meta_dataset_processing.DataAugmentation.enable_gaussian_noise = False | ||
| query/meta_dataset_processing.DataAugmentation.gaussian_noise_std = 0.0 | ||
| query/meta_dataset_processing.DataAugmentation.enable_random_flip = False | ||
| query/meta_dataset_processing.DataAugmentation.enable_random_brightness = False | ||
| query/meta_dataset_processing.DataAugmentation.random_brightness_delta = 0 | ||
| query/meta_dataset_processing.DataAugmentation.enable_random_contrast = False | ||
| query/meta_dataset_processing.DataAugmentation.random_contrast_delta = 0 | ||
| query/meta_dataset_processing.DataAugmentation.enable_random_hue = False | ||
| query/meta_dataset_processing.DataAugmentation.random_hue_delta = 0 | ||
| query/meta_dataset_processing.DataAugmentation.enable_random_saturation = False | ||
| query/meta_dataset_processing.DataAugmentation.random_saturation_delta = 0 | ||
|
|
||
| process_batch.batch_decoder = @batch/meta_dataset_processing.ImageDecoder() | ||
| batch/meta_dataset_processing.ImageDecoder.data_augmentation = @batch/meta_dataset_processing.DataAugmentation() | ||
| batch/meta_dataset_processing.DataAugmentation.enable_jitter = True | ||
| batch/meta_dataset_processing.DataAugmentation.jitter_amount = 8 | ||
| batch/meta_dataset_processing.DataAugmentation.enable_gaussian_noise = True | ||
| batch/meta_dataset_processing.DataAugmentation.gaussian_noise_std = 0.0 | ||
| batch/meta_dataset_processing.DataAugmentation.enable_random_flip = False | ||
| batch/meta_dataset_processing.DataAugmentation.enable_random_brightness = True | ||
| batch/meta_dataset_processing.DataAugmentation.random_brightness_delta = 0.125 | ||
| batch/meta_dataset_processing.DataAugmentation.enable_random_contrast = True | ||
| batch/meta_dataset_processing.DataAugmentation.random_contrast_delta = 0.2 | ||
| batch/meta_dataset_processing.DataAugmentation.enable_random_hue = True | ||
| batch/meta_dataset_processing.DataAugmentation.random_hue_delta = 0.03 | ||
| batch/meta_dataset_processing.DataAugmentation.enable_random_saturation = True | ||
| batch/meta_dataset_processing.DataAugmentation.random_saturation_delta = 0.2 |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,72 @@ | ||
| import cdfsl_dataset.meta_dataset_processing | ||
| import meta_dataset.data.decoder | ||
|
|
||
| # Default values for sampling variable shots / ways. | ||
| EpisodeDescriptionConfig.min_ways = 5 | ||
| EpisodeDescriptionConfig.max_ways_upper_bound = 50 | ||
| EpisodeDescriptionConfig.max_num_query = 10 | ||
| EpisodeDescriptionConfig.max_support_set_size = 100 #500 | ||
| EpisodeDescriptionConfig.max_support_size_contrib_per_class = 10 #100 | ||
| EpisodeDescriptionConfig.min_log_weight = -0.69314718055994529 # np.log(0.5) | ||
| EpisodeDescriptionConfig.max_log_weight = 0.69314718055994529 # np.log(2) | ||
| EpisodeDescriptionConfig.ignore_dag_ontology = False | ||
| EpisodeDescriptionConfig.ignore_bilevel_ontology = False | ||
| EpisodeDescriptionConfig.ignore_hierarchy_probability = 0.0 | ||
| EpisodeDescriptionConfig.simclr_episode_fraction = 0.0 | ||
|
|
||
| # Other default values for the data pipeline. | ||
| DataConfig.image_height = 224 | ||
| DataConfig.shuffle_buffer_size = 1000 | ||
| DataConfig.read_buffer_size_bytes = 1048576 # 1 MB (1024**2) | ||
| DataConfig.num_prefetch = 400 | ||
|
|
||
| meta_dataset_processing.ImageDecoder.image_size = 224 | ||
|
|
||
| # If we decode features then change the lines below to use FeatureDecoder. | ||
| process_episode.support_decoder = @support/meta_dataset_processing.ImageDecoder() | ||
| support/meta_dataset_processing.ImageDecoder.data_augmentation = @support/meta_dataset_processing.DataAugmentation() | ||
| support/meta_dataset_processing.DataAugmentation.enable_jitter = True | ||
| support/meta_dataset_processing.DataAugmentation.jitter_amount = 0 | ||
| support/meta_dataset_processing.DataAugmentation.enable_gaussian_noise = True | ||
| support/meta_dataset_processing.DataAugmentation.gaussian_noise_std = 0.0 | ||
| support/meta_dataset_processing.DataAugmentation.enable_random_flip = False | ||
| support/meta_dataset_processing.DataAugmentation.enable_random_brightness = False | ||
| support/meta_dataset_processing.DataAugmentation.random_brightness_delta = 0 | ||
| support/meta_dataset_processing.DataAugmentation.enable_random_contrast = False | ||
| support/meta_dataset_processing.DataAugmentation.random_contrast_delta = 0 | ||
| support/meta_dataset_processing.DataAugmentation.enable_random_hue = False | ||
| support/meta_dataset_processing.DataAugmentation.random_hue_delta = 0 | ||
| support/meta_dataset_processing.DataAugmentation.enable_random_saturation = False | ||
| support/meta_dataset_processing.DataAugmentation.random_saturation_delta = 0 | ||
|
|
||
| process_episode.query_decoder = @query/meta_dataset_processing.ImageDecoder() | ||
| query/meta_dataset_processing.ImageDecoder.data_augmentation = @query/meta_dataset_processing.DataAugmentation() | ||
| query/meta_dataset_processing.DataAugmentation.enable_jitter = False | ||
| query/meta_dataset_processing.DataAugmentation.jitter_amount = 0 | ||
| query/meta_dataset_processing.DataAugmentation.enable_gaussian_noise = False | ||
| query/meta_dataset_processing.DataAugmentation.gaussian_noise_std = 0.0 | ||
| query/meta_dataset_processing.DataAugmentation.enable_random_flip = False | ||
| query/meta_dataset_processing.DataAugmentation.enable_random_brightness = False | ||
| query/meta_dataset_processing.DataAugmentation.random_brightness_delta = 0 | ||
| query/meta_dataset_processing.DataAugmentation.enable_random_contrast = False | ||
| query/meta_dataset_processing.DataAugmentation.random_contrast_delta = 0 | ||
| query/meta_dataset_processing.DataAugmentation.enable_random_hue = False | ||
| query/meta_dataset_processing.DataAugmentation.random_hue_delta = 0 | ||
| query/meta_dataset_processing.DataAugmentation.enable_random_saturation = False | ||
| query/meta_dataset_processing.DataAugmentation.random_saturation_delta = 0 | ||
|
|
||
| process_batch.batch_decoder = @batch/meta_dataset_processing.ImageDecoder() | ||
| batch/meta_dataset_processing.ImageDecoder.data_augmentation = @batch/meta_dataset_processing.DataAugmentation() | ||
| batch/meta_dataset_processing.DataAugmentation.enable_jitter = True | ||
| batch/meta_dataset_processing.DataAugmentation.jitter_amount = 8 | ||
| batch/meta_dataset_processing.DataAugmentation.enable_gaussian_noise = True | ||
| batch/meta_dataset_processing.DataAugmentation.gaussian_noise_std = 0.0 | ||
| batch/meta_dataset_processing.DataAugmentation.enable_random_flip = False | ||
| batch/meta_dataset_processing.DataAugmentation.enable_random_brightness = True | ||
| batch/meta_dataset_processing.DataAugmentation.random_brightness_delta = 0.125 | ||
| batch/meta_dataset_processing.DataAugmentation.enable_random_contrast = True | ||
| batch/meta_dataset_processing.DataAugmentation.random_contrast_delta = 0.2 | ||
| batch/meta_dataset_processing.DataAugmentation.enable_random_hue = True | ||
| batch/meta_dataset_processing.DataAugmentation.random_hue_delta = 0.03 | ||
| batch/meta_dataset_processing.DataAugmentation.enable_random_saturation = True | ||
| batch/meta_dataset_processing.DataAugmentation.random_saturation_delta = 0.2 |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,72 @@ | ||
| import cdfsl_dataset.meta_dataset_processing | ||
| import meta_dataset.data.decoder | ||
|
|
||
| # Default values for sampling variable shots / ways. | ||
| EpisodeDescriptionConfig.min_ways = 5 | ||
| EpisodeDescriptionConfig.max_ways_upper_bound = 50 | ||
| EpisodeDescriptionConfig.max_num_query = 10 | ||
| EpisodeDescriptionConfig.max_support_set_size = 100 #500 | ||
| EpisodeDescriptionConfig.max_support_size_contrib_per_class = 10 #100 | ||
| EpisodeDescriptionConfig.min_log_weight = -0.69314718055994529 # np.log(0.5) | ||
| EpisodeDescriptionConfig.max_log_weight = 0.69314718055994529 # np.log(2) | ||
| EpisodeDescriptionConfig.ignore_dag_ontology = False | ||
| EpisodeDescriptionConfig.ignore_bilevel_ontology = False | ||
| EpisodeDescriptionConfig.ignore_hierarchy_probability = 0.0 | ||
| EpisodeDescriptionConfig.simclr_episode_fraction = 0.0 | ||
|
|
||
| # Other default values for the data pipeline. | ||
| DataConfig.image_height = 84 | ||
| DataConfig.shuffle_buffer_size = 1000 | ||
| DataConfig.read_buffer_size_bytes = 1048576 # 1 MB (1024**2) | ||
| DataConfig.num_prefetch = 400 | ||
|
|
||
| meta_dataset_processing.ImageDecoder.image_size = 84 | ||
|
|
||
| # If we decode features then change the lines below to use FeatureDecoder. | ||
| process_episode.support_decoder = @support/meta_dataset_processing.ImageDecoder() | ||
| support/meta_dataset_processing.ImageDecoder.data_augmentation = @support/meta_dataset_processing.DataAugmentation() | ||
| support/meta_dataset_processing.DataAugmentation.enable_jitter = True | ||
| support/meta_dataset_processing.DataAugmentation.jitter_amount = 0 | ||
| support/meta_dataset_processing.DataAugmentation.enable_gaussian_noise = True | ||
| support/meta_dataset_processing.DataAugmentation.gaussian_noise_std = 0.0 | ||
| support/meta_dataset_processing.DataAugmentation.enable_random_flip = False | ||
| support/meta_dataset_processing.DataAugmentation.enable_random_brightness = False | ||
| support/meta_dataset_processing.DataAugmentation.random_brightness_delta = 0 | ||
| support/meta_dataset_processing.DataAugmentation.enable_random_contrast = False | ||
| support/meta_dataset_processing.DataAugmentation.random_contrast_delta = 0 | ||
| support/meta_dataset_processing.DataAugmentation.enable_random_hue = False | ||
| support/meta_dataset_processing.DataAugmentation.random_hue_delta = 0 | ||
| support/meta_dataset_processing.DataAugmentation.enable_random_saturation = False | ||
| support/meta_dataset_processing.DataAugmentation.random_saturation_delta = 0 | ||
|
|
||
| process_episode.query_decoder = @query/meta_dataset_processing.ImageDecoder() | ||
| query/meta_dataset_processing.ImageDecoder.data_augmentation = @query/meta_dataset_processing.DataAugmentation() | ||
| query/meta_dataset_processing.DataAugmentation.enable_jitter = False | ||
| query/meta_dataset_processing.DataAugmentation.jitter_amount = 0 | ||
| query/meta_dataset_processing.DataAugmentation.enable_gaussian_noise = False | ||
| query/meta_dataset_processing.DataAugmentation.gaussian_noise_std = 0.0 | ||
| query/meta_dataset_processing.DataAugmentation.enable_random_flip = False | ||
| query/meta_dataset_processing.DataAugmentation.enable_random_brightness = False | ||
| query/meta_dataset_processing.DataAugmentation.random_brightness_delta = 0 | ||
| query/meta_dataset_processing.DataAugmentation.enable_random_contrast = False | ||
| query/meta_dataset_processing.DataAugmentation.random_contrast_delta = 0 | ||
| query/meta_dataset_processing.DataAugmentation.enable_random_hue = False | ||
| query/meta_dataset_processing.DataAugmentation.random_hue_delta = 0 | ||
| query/meta_dataset_processing.DataAugmentation.enable_random_saturation = False | ||
| query/meta_dataset_processing.DataAugmentation.random_saturation_delta = 0 | ||
|
|
||
| process_batch.batch_decoder = @batch/meta_dataset_processing.ImageDecoder() | ||
| batch/meta_dataset_processing.ImageDecoder.data_augmentation = @batch/meta_dataset_processing.DataAugmentation() | ||
| batch/meta_dataset_processing.DataAugmentation.enable_jitter = True | ||
| batch/meta_dataset_processing.DataAugmentation.jitter_amount = 8 | ||
| batch/meta_dataset_processing.DataAugmentation.enable_gaussian_noise = True | ||
| batch/meta_dataset_processing.DataAugmentation.gaussian_noise_std = 0.0 | ||
| batch/meta_dataset_processing.DataAugmentation.enable_random_flip = False | ||
| batch/meta_dataset_processing.DataAugmentation.enable_random_brightness = True | ||
| batch/meta_dataset_processing.DataAugmentation.random_brightness_delta = 0.125 | ||
| batch/meta_dataset_processing.DataAugmentation.enable_random_contrast = True | ||
| batch/meta_dataset_processing.DataAugmentation.random_contrast_delta = 0.2 | ||
| batch/meta_dataset_processing.DataAugmentation.enable_random_hue = True | ||
| batch/meta_dataset_processing.DataAugmentation.random_hue_delta = 0.03 | ||
| batch/meta_dataset_processing.DataAugmentation.enable_random_saturation = True | ||
| batch/meta_dataset_processing.DataAugmentation.random_saturation_delta = 0.2 |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,20 @@ | ||
| # coding=utf-8 | ||
| # Copyright 2021 The Meta-Dataset Authors. | ||
| # | ||
| # Licensed under the Apache License, Version 2.0 (the "License"); | ||
| # you may not use this file except in compliance with the License. | ||
| # You may obtain a copy of the License at | ||
| # | ||
| # http://www.apache.org/licenses/LICENSE-2.0 | ||
| # | ||
| # Unless required by applicable law or agreed to in writing, software | ||
| # distributed under the License is distributed on an "AS IS" BASIS, | ||
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
| # See the License for the specific language governing permissions and | ||
| # limitations under the License. | ||
|
|
||
| # Lint as: python2, python3 | ||
| """Sub-module for reading data and assembling episodes.""" | ||
| # Whether datasets with example-level splits, or pools, are supported. | ||
| # Currently, this is not implemented. | ||
| POOL_SUPPORTED = False |
Oops, something went wrong.