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### General dataset parameters
dataset_name: "synthetic_shape"
primitives: "all"
add_augmentation_to_all_splits: True
test_augmentation_seed: 200
# Shape generation configuration
generation:
split_sizes: {'train': 20000, 'val': 2000, 'test': 400}
random_seed: 10
image_size: [960, 1280]
min_len: 0.0985
min_label_len: 0.099
params:
generate_background:
min_kernel_size: 150
max_kernel_size: 500
min_rad_ratio: 0.02
max_rad_ratio: 0.031
draw_stripes:
transform_params: [0.1, 0.1]
draw_multiple_polygons:
kernel_boundaries: [50, 100]
### Data preprocessing configuration.
preprocessing:
resize: [400, 400]
blur_size: 11
augmentation:
photometric:
enable: True
primitives: 'all'
params: {}
random_order: True
homographic:
enable: True
params:
translation: true
rotation: true
scaling: true
perspective: true
scaling_amplitude: 0.2
perspective_amplitude_x: 0.2
perspective_amplitude_y: 0.2
patch_ratio: 0.8
max_angle: 1.57
allow_artifacts: true
translation_overflow: 0.05
valid_border_margin: 0
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