SYMBOL INDEX (228 symbols across 9 files) FILE: test/test_basic.py function cube (line 53) | def cube(): function test_augmentations (line 60) | def test_augmentations(aug_class, cube): FILE: tst_volumentations_speed.py function tst_volumentations_speed (line 9) | def tst_volumentations_speed(): FILE: tst_volumentations_type_1.py function read_video (line 17) | def read_video(f): function get_augmentation_v1 (line 37) | def get_augmentation_v1(patch_size): function get_augmentation_v2 (line 53) | def get_augmentation_v2(patch_size): function create_video (line 66) | def create_video(image_list, out_file, fps): function tst_volumentations (line 81) | def tst_volumentations(): FILE: tst_volumentations_type_2.py function grayscale_normalization (line 53) | def grayscale_normalization(image): function visualize_evaluation (line 64) | def visualize_evaluation(index, volume, viz_path="test_volumentations"): function build (line 102) | def build(aug_flip, aug_rotate, aug_brightness, aug_contrast, aug_satura... FILE: volumentations/augmentations/functional.py function preserve_shape (line 78) | def preserve_shape(func): function rotate2d (line 92) | def rotate2d(img, angle, axes=(0,1), reshape=False, interpolation=1, bor... function shift (line 96) | def shift(img, shift, interpolation=1, border_mode='reflect', value=0): function crop (line 100) | def crop(img, x1, y1, z1, x2, y2, z2): function get_center_crop_coords (line 113) | def get_center_crop_coords(height, width, depth, crop_height, crop_width... function center_crop (line 123) | def center_crop(img, crop_height, crop_width, crop_depth): function get_random_crop_coords (line 132) | def get_random_crop_coords(height, width, depth, crop_height, crop_width... function random_crop (line 142) | def random_crop(img, crop_height, crop_width, crop_depth, h_start, w_sta... function normalize (line 153) | def normalize(img, range_norm=True): function pad (line 169) | def pad(image, new_shape, border_mode="reflect", value=0): function gaussian_noise (line 195) | def gaussian_noise(img, gauss): function resize (line 200) | def resize(img, new_shape, interpolation=1, resize_type=0): function rescale (line 235) | def rescale(img, scale, interpolation=1): function gamma_transform (line 249) | def gamma_transform(img, gamma): function elastic_transform_pseudo2D (line 259) | def elastic_transform_pseudo2D(img, alpha, sigma, alpha_affine, interpol... function elastic_transform (line 333) | def elastic_transform(img, sigmas, alphas, interpolation=1, border_mode=... function generate_coords (line 350) | def generate_coords(shape): function elastic_deform_coords (line 361) | def elastic_deform_coords(coords, sigmas, alphas, random_state): function recenter_coords (line 379) | def recenter_coords(coords): function rotate3d (line 389) | def rotate3d(img, x, y, z, interpolation=1, border_mode='reflect', value... function rotate_coords (line 408) | def rotate_coords(coords, angle_x, angle_y, angle_z): function rot_x (line 417) | def rot_x(angle): function rot_y (line 424) | def rot_y(angle): function rot_z (line 431) | def rot_z(angle): function rescale_warp (line 438) | def rescale_warp(img, scale, interpolation=1, border_mode='reflect', val... function scale_coords (line 455) | def scale_coords(coords, scale): function clamping_crop (line 465) | def clamping_crop(img, sh0_min, sh1_min, sh2_min, sh0_max, sh1_max, sh2_... function cutout (line 482) | def cutout(img, holes, fill_value=0): function clip (line 489) | def clip(img, dtype, maxval): function clipped (line 492) | def clipped(func): function _brightness_contrast_adjust_non_uint (line 502) | def _brightness_contrast_adjust_non_uint(img, alpha=1, beta=0, beta_by_m... function _brightness_contrast_adjust_uint (line 517) | def _brightness_contrast_adjust_uint(img, alpha=1, beta=0, beta_by_max=F... function brightness_contrast_adjust (line 536) | def brightness_contrast_adjust(img, alpha=1, beta=0, beta_by_max=False): function _adjust_brightness_torchvision_uint8 (line 543) | def _adjust_brightness_torchvision_uint8(img, factor): function adjust_brightness_torchvision (line 549) | def adjust_brightness_torchvision(img, factor): function _adjust_contrast_torchvision_uint8 (line 560) | def _adjust_contrast_torchvision_uint8(img, factor, mean): function adjust_contrast_torchvision (line 568) | def adjust_contrast_torchvision(img, factor): function adjust_saturation_torchvision (line 591) | def adjust_saturation_torchvision(img, factor, gamma=0): function _adjust_hue_torchvision_uint8 (line 613) | def _adjust_hue_torchvision_uint8(img, factor): function adjust_hue_torchvision (line 623) | def adjust_hue_torchvision(img, factor): function is_3Drgb_image (line 638) | def is_3Drgb_image(image): function is_3Dgrayscale_image (line 641) | def is_3Dgrayscale_image(image): function is_2Drgb_image (line 644) | def is_2Drgb_image(image): function is_2Dgrayscale_image (line 647) | def is_2Dgrayscale_image(image): function _maybe_process_in_chunks (line 650) | def _maybe_process_in_chunks(process_fn, **kwargs): function grid_distortion (line 689) | def grid_distortion( function downscale (line 751) | def downscale(img, scale, interpolation=cv2.INTER_NEAREST): function glass_blur (line 769) | def glass_blur(img, sigma, max_delta, iterations, dxy, mode): function image_compression (line 800) | def image_compression(img, quality, image_type): function from_float (line 830) | def from_float(img, dtype, max_value=None): function to_float (line 841) | def to_float(img, max_value=None): FILE: volumentations/augmentations/transforms.py class Float (line 46) | class Float(DualTransform): method apply (line 47) | def apply(self, image): class Contiguous (line 50) | class Contiguous(DualTransform): method apply (line 51) | def apply(self, image): class PadIfNeeded (line 55) | class PadIfNeeded(DualTransform): method __init__ (line 56) | def __init__(self, shape, border_mode='constant', value=0, mask_value=... method apply (line 63) | def apply(self, img): method apply_to_mask (line 66) | def apply_to_mask(self, mask): class Blur (line 70) | class Blur(ImageOnlyTransform): method __init__ (line 82) | def __init__(self, blur_limit=7, always_apply=False, p=0.5): method apply (line 86) | def apply(self, image, ksize=3, **params): method get_params (line 89) | def get_params(self, **data): method get_transform_init_args_names (line 92) | def get_transform_init_args_names(self): class GaussianNoise (line 96) | class GaussianNoise(Transform): method __init__ (line 97) | def __init__(self, var_limit=(10.0, 50.0), mean=0, always_apply=False,... method apply (line 102) | def apply(self, img, gauss=None): method get_params (line 105) | def get_params(self, **data): class Resize (line 114) | class Resize(DualTransform): method __init__ (line 115) | def __init__(self, shape, interpolation=1, resize_type=1, always_apply... method apply (line 121) | def apply(self, img): method apply_to_mask (line 124) | def apply_to_mask(self, mask): class RandomScale (line 128) | class RandomScale(DualTransform): method __init__ (line 129) | def __init__(self, scale_limit=[0.9, 1.1], interpolation=1, always_app... method get_params (line 134) | def get_params(self, **data): method apply (line 137) | def apply(self, img, scale): method apply_to_mask (line 140) | def apply_to_mask(self, mask, scale): class RandomScale2 (line 144) | class RandomScale2(DualTransform): method __init__ (line 148) | def __init__(self, scale_limit=[0.9, 1.1], interpolation=1, border_mod... method get_params (line 156) | def get_params(self, **data): method apply (line 159) | def apply(self, img, scale): method apply_to_mask (line 162) | def apply_to_mask(self, mask, scale): class RotatePseudo2D (line 166) | class RotatePseudo2D(DualTransform): method __init__ (line 167) | def __init__(self, axes=(0,1), limit=(-90, 90), interpolation=1, borde... method apply (line 176) | def apply(self, img, angle): method apply_to_mask (line 179) | def apply_to_mask(self, mask, angle): method get_params (line 182) | def get_params(self, **data): class RandomRotate90 (line 186) | class RandomRotate90(DualTransform): method __init__ (line 187) | def __init__(self, axes=None, always_apply=False, p=0.5): method apply (line 191) | def apply(self, img, axes, factor): method get_params (line 194) | def get_params(self, **data): class Flip (line 206) | class Flip(DualTransform): method __init__ (line 207) | def __init__(self, axis=None, always_apply=False, p=0.5): method apply (line 211) | def apply(self, img): class Normalize (line 222) | class Normalize(Transform): method __init__ (line 223) | def __init__(self, range_norm=False, always_apply=True, p=1.0): method apply (line 227) | def apply(self, img): class Transpose (line 231) | class Transpose(DualTransform): method __init__ (line 232) | def __init__(self, axes=(1,0,2), always_apply=False, p=0.5): method apply (line 236) | def apply(self, img): class CenterCrop (line 240) | class CenterCrop(DualTransform): method __init__ (line 241) | def __init__(self, shape, always_apply=False, p=1.0): method apply (line 245) | def apply(self, img): class RandomResizedCrop (line 249) | class RandomResizedCrop(DualTransform): method __init__ (line 250) | def __init__(self, shape, scale_limit=(0.8, 1.2), interpolation=1, res... method apply (line 257) | def apply(self, img, scale=1, scaled_shape=None, h_start=0, w_start=0,... method apply_to_mask (line 263) | def apply_to_mask(self, img, scale=1, scaled_shape=None, h_start=0, w_... method get_params (line 269) | def get_params(self, **data): class RandomCrop (line 281) | class RandomCrop(DualTransform): method __init__ (line 282) | def __init__(self, shape, always_apply=False, p=1.0): method apply (line 286) | def apply(self, img, h_start=0, w_start=0, d_start=0): method get_params (line 289) | def get_params(self, **data): class CropNonEmptyMaskIfExists (line 297) | class CropNonEmptyMaskIfExists(DualTransform): method __init__ (line 298) | def __init__(self, shape, always_apply=False, p=1.0): method apply (line 304) | def apply(self, img, x_min=0, y_min=0, z_min=0, x_max=0, y_max=0, z_ma... method get_params (line 307) | def get_params(self, **data): class ResizedCropNonEmptyMaskIfExists (line 336) | class ResizedCropNonEmptyMaskIfExists(DualTransform): method __init__ (line 337) | def __init__(self, shape, scale_limit=(0.8, 1.2), interpolation=1, res... method apply (line 344) | def apply(self, img, x_min=0, y_min=0, z_min=0, x_max=0, y_max=0, z_ma... method apply_to_mask (line 348) | def apply_to_mask(self, img, x_min=0, y_min=0, z_min=0, x_max=0, y_max... method get_params (line 352) | def get_params(self, **data): class RandomGamma (line 384) | class RandomGamma(ImageOnlyTransform): method __init__ (line 396) | def __init__(self, gamma_limit=(80, 120), eps=None, always_apply=False... method apply (line 401) | def apply(self, img, gamma=1, **params): method get_params (line 404) | def get_params(self, **data): method get_transform_init_args_names (line 407) | def get_transform_init_args_names(self): class ElasticTransformPseudo2D (line 411) | class ElasticTransformPseudo2D(DualTransform): method __init__ (line 412) | def __init__(self, alpha=1000, sigma=50, alpha_affine=1, approximate=F... method apply (line 419) | def apply(self, img, random_state=None): method apply_to_mask (line 422) | def apply_to_mask(self, img, random_state=None): method get_params (line 425) | def get_params(self, **data): class ElasticTransform (line 429) | class ElasticTransform(DualTransform): method __init__ (line 430) | def __init__(self, deformation_limits=(0, 0.25), interpolation=1, bord... method apply (line 438) | def apply(self, img, sigmas, alphas, random_state=None): method apply_to_mask (line 441) | def apply_to_mask(self, img, sigmas, alphas, random_state=None): method get_params (line 444) | def get_params(self, **data): class Rotate (line 457) | class Rotate(DualTransform): method __init__ (line 458) | def __init__(self, x_limit=(-15,15), y_limit=(-15,15), z_limit=(-15,15... method apply (line 468) | def apply(self, img, x, y, z): method apply_to_mask (line 471) | def apply_to_mask(self, mask, x, y, z): method get_params (line 474) | def get_params(self, **data): class RemoveEmptyBorder (line 482) | class RemoveEmptyBorder(DualTransform): method __init__ (line 483) | def __init__(self, border_value=0, always_apply=False, p=1.0): method apply (line 488) | def apply(self, img, x_min=0, y_min=0, z_min=0, x_max=0, y_max=0, z_ma... method get_params (line 491) | def get_params(self, **data): class RandomCropFromBorders (line 503) | class RandomCropFromBorders(DualTransform): method __init__ (line 523) | def __init__( method get_params (line 562) | def get_params(self, **data): method apply (line 579) | def apply(self, img, sh0_min=0, sh0_max=0, sh1_min=0, sh1_max=0, sh2_m... method apply_to_mask (line 582) | def apply_to_mask(self, mask, sh0_min=0, sh0_max=0, sh1_min=0, sh1_max... class GridDropout (line 586) | class GridDropout(DualTransform): method __init__ (line 620) | def __init__( method apply (line 653) | def apply(self, image, holes=(), **params): method apply_to_mask (line 656) | def apply_to_mask(self, image, holes=(), **params): method get_params (line 662) | def get_params(self, **data): method get_transform_init_args_names (line 733) | def get_transform_init_args_names(self): class RandomDropPlane (line 747) | class RandomDropPlane(DualTransform): method __init__ (line 762) | def __init__( method get_params (line 773) | def get_params(self, **data): method apply (line 788) | def apply(self, img, indexes=(), axis=0, **params): method apply_to_mask (line 791) | def apply_to_mask(self, mask, indexes=(), axis=0, **params): class RandomBrightnessContrast (line 794) | class RandomBrightnessContrast(ImageOnlyTransform): method __init__ (line 810) | def __init__( method apply (line 823) | def apply(self, img, alpha=1.0, beta=0.0, **params): method get_params (line 826) | def get_params(self, **data): method get_transform_init_args_names (line 832) | def get_transform_init_args_names(self): class ColorJitter (line 836) | class ColorJitter(ImageOnlyTransform): method __init__ (line 856) | def __init__( method __check_values (line 873) | def __check_values(value, name, offset=1, bounds=(0, float("inf")), cl... method get_params (line 888) | def get_params(self, **data): method apply (line 904) | def apply(self, img, transforms=(), **params): method get_transform_init_args_names (line 914) | def get_transform_init_args_names(self): class GridDistortion (line 918) | class GridDistortion(DualTransform): method __init__ (line 940) | def __init__( method apply (line 959) | def apply(self, img, stepsx=(), stepsy=(), interpolation=cv2.INTER_LIN... method apply_to_mask (line 971) | def apply_to_mask(self, img, stepsx=(), stepsy=(), **params): method get_params (line 983) | def get_params(self, **data): method get_transform_init_args_names (line 988) | def get_transform_init_args_names(self): class Downscale (line 998) | class Downscale(ImageOnlyTransform): method __init__ (line 1010) | def __init__( method apply (line 1027) | def apply(self, image, scale, interpolation, **params): method get_params (line 1030) | def get_params(self, **data): method get_transform_init_args_names (line 1036) | def get_transform_init_args_names(self): class GlassBlur (line 1039) | class GlassBlur(Blur): method __init__ (line 1057) | def __init__( method apply (line 1078) | def apply(self, img, dxy, **data): method get_params (line 1093) | def get_params(self, **data): method get_transform_init_args_names (line 1104) | def get_transform_init_args_names(self): method targets_as_params (line 1108) | def targets_as_params(self): class ImageCompression (line 1111) | class ImageCompression(ImageOnlyTransform): class ImageCompressionType (line 1126) | class ImageCompressionType(IntEnum): method __init__ (line 1130) | def __init__( method apply (line 1154) | def apply(self, img, quality=100, image_type=".jpg", **params): method get_params (line 1166) | def get_params(self, **data): method get_transform_init_args (line 1177) | def get_transform_init_args(self): FILE: volumentations/core/composition.py class Compose (line 41) | class Compose: method __init__ (line 42) | def __init__(self, transforms, p=1.0, targets=[['image'],['mask']]): method get_always_apply_transforms (line 48) | def get_always_apply_transforms(self): method __call__ (line 55) | def __call__(self, force_apply=False, **data): class ComposeChoice (line 65) | class ComposeChoice: method __init__ (line 66) | def __init__(self, transforms, p=1.0, n=1, targets=[['image'], ['mask'... method __call__ (line 73) | def __call__(self, **data): FILE: volumentations/core/transforms_interface.py function to_tuple (line 45) | def to_tuple(param, low=None, bias=None): class Transform (line 76) | class Transform: method __init__ (line 77) | def __init__(self, always_apply=False, p=0.5): method __call__ (line 82) | def __call__(self, force_apply, targets, **data): method get_params (line 97) | def get_params(self, **data): method apply (line 103) | def apply(self, volume, **params): class DualTransform (line 107) | class DualTransform(Transform): method __call__ (line 108) | def __call__(self, force_apply, targets, **data): method apply_to_mask (line 125) | def apply_to_mask(self, mask, **params): class ImageOnlyTransform (line 129) | class ImageOnlyTransform(Transform): method targets (line 133) | def targets(self): FILE: volumentations/random_utils.py function get_random_state (line 45) | def get_random_state() -> np.random.RandomState: function randint (line 48) | def randint( function uniform (line 59) | def uniform( function normal (line 69) | def normal(