configs/default/components/tasks/image_text_to_class/gqa.yml
# This file defines the default values for the GQA task.
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# 1. CONFIGURATION PARAMETERS that will be LOADED by the component.
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# Folder where task will store data (LOADED)
data_folder: '~/data/gqa'
# Defines the set (split) that will be used (LOADED)
# Options: training_0 | training | validation | test_dev | test | challenge | submission (?)
# Note: test_dev should be used for validation.
split: training_0
# Flag indicating whether the task will load and return images (LOADED)
stream_images: True
# Resize parameter (LOADED)
# When present, resizes the images from original size to [height, width]
# Depth remains set to 3.
resize_image: [224, 224]
# Select applied image preprocessing/augmentations (LOADED)
# Use one (or more) of the affine transformations:
# none | normalize | all
# Accepted formats: a,b,c or [a,b,c]
image_preprocessing: none
streams:
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# 2. Keymappings associated with INPUT and OUTPUT streams.
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# Stream containing batch of indices (OUTPUT)
# Every task MUST return that stream.
indices: indices
# Stream containing batch of sample (original) identifiers (OUTPUT)
sample_ids: sample_ids
# Stream containing batch of images (OUTPUT)
images: images
# Stream containing batch of image names (OUTPUT)
image_ids: image_ids
# Stream containing batch of questions (OUTPUT)
questions: questions
# Stream containing targets answers (labels) (OUTPUT)
answers: answers
# Stream containing targets answers consisting of many words (OUTPUT)
full_answers: full_answers
# Stream containing scene descriptions (OUTPUT)
#answers: scene_graphs
globals:
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# 3. Keymappings of variables that will be RETRIEVED from GLOBALS.
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# 4. Keymappings associated with GLOBAL variables that will be SET.
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# Width of the image (SET)
input_width: image_width
# Height of the image (SET)
input_height: image_height
# Depth of the image (SET)
input_depth: image_depth
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# 5. Keymappings associated with statistics that will be ADDED.
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