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### General dataset parameters
dataset_name: "holicity"
train_splits: ["2018-01"] # 5720 images
add_augmentation_to_all_splits: False
gray_scale: True
# Ground truth source ('official' or path to the exported h5 dataset.)
#gt_source_train: "" # Fill with your own export file
#gt_source_test: "" # Fill with your own export file
# Return type: (1) single (to train the detector only)
# or (2) paired_desc (to train the detector + descriptor)
return_type: "single"
random_seed: 0
### Descriptor training parameters
# Number of points extracted per line
max_num_samples: 10
# Max number of training line points extracted in the whole image
max_pts: 1000
# Min distance between two points on a line (in pixels)
min_dist_pts: 10
# Small jittering of the sampled points during training
jittering: 0
### Data preprocessing configuration
preprocessing:
resize: [512, 512]
blur_size: 11
augmentation:
random_scaling:
enable: True
range: [0.7, 1.5]
photometric:
enable: True
primitives: ['random_brightness', 'random_contrast',
'additive_speckle_noise', 'additive_gaussian_noise',
'additive_shade', 'motion_blur' ]
params:
random_brightness: {brightness: 0.2}
random_contrast: {contrast: [0.3, 1.5]}
additive_gaussian_noise: {stddev_range: [0, 10]}
additive_speckle_noise: {prob_range: [0, 0.0035]}
additive_shade:
transparency_range: [-0.5, 0.5]
kernel_size_range: [100, 150]
motion_blur: {max_kernel_size: 3}
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: 0.85
max_angle: 1.57
allow_artifacts: true
valid_border_margin: 3
### Homography adaptation configuration
homography_adaptation:
num_iter: 100
valid_border_margin: 3
min_counts: 30
homographies:
translation: true
rotation: true
scaling: true
perspective: true
scaling_amplitude: 0.2
perspective_amplitude_x: 0.2
perspective_amplitude_y: 0.2
allow_artifacts: true
patch_ratio: 0.85 |