SYMBOL INDEX (84 symbols across 16 files)

FILE: src/LRP.py
  class LRP (line 16) | class LRP():
    method __init__ (line 23) | def __init__(self, model):
    method LRP_forward (line 26) | def LRP_forward(self, layer, input_tensor, gamma=None, epsilon=None):
    method LRP_step (line 57) | def LRP_step(self, forward_output, layer, LRP_next_layer):
    method generate (line 71) | def generate(self, input_image, target_class):

FILE: src/cnn_layer_visualization.py
  class CNNLayerVisualization (line 16) | class CNNLayerVisualization():
    method __init__ (line 21) | def __init__(self, model, selected_layer, selected_filter):
    method hook_layer (line 31) | def hook_layer(self):
    method visualise_layer_with_hooks (line 38) | def visualise_layer_with_hooks(self):
    method visualise_layer_without_hooks (line 76) | def visualise_layer_without_hooks(self):

FILE: src/deep_dream.py
  class DeepDream (line 16) | class DeepDream():
    method __init__ (line 21) | def __init__(self, model, selected_layer, selected_filter, im_path):
    method hook_layer (line 35) | def hook_layer(self):
    method dream (line 43) | def dream(self):

FILE: src/generate_class_specific_samples.py
  class ClassSpecificImageGeneration (line 16) | class ClassSpecificImageGeneration():
    method __init__ (line 20) | def __init__(self, model, target_class):
    method generate (line 32) | def generate(self, iterations=150):

FILE: src/generate_regularized_class_specific_samples.py
  class RegularizedClassSpecificImageGeneration (line 20) | class RegularizedClassSpecificImageGeneration():
    method __init__ (line 25) | def __init__(self, model, target_class):
    method generate (line 37) | def generate(self, iterations=150, blur_freq=4, blur_rad=1, wd=0.0001,...
  function preprocess_and_blur_image (line 119) | def preprocess_and_blur_image(pil_im, resize_im=True, blur_rad=None):

FILE: src/gradcam.py
  class CamExtractor (line 13) | class CamExtractor():
    method __init__ (line 17) | def __init__(self, model, target_layer):
    method save_gradient (line 22) | def save_gradient(self, grad):
    method forward_pass_on_convolutions (line 25) | def forward_pass_on_convolutions(self, x):
    method forward_pass (line 37) | def forward_pass(self, x):
  class GradCam (line 49) | class GradCam():
    method __init__ (line 53) | def __init__(self, model, target_layer):
    method generate_cam (line 59) | def generate_cam(self, input_image, target_class=None):

FILE: src/guided_backprop.py
  class GuidedBackprop (line 15) | class GuidedBackprop():
    method __init__ (line 19) | def __init__(self, model):
    method hook_layers (line 28) | def hook_layers(self):
    method update_relus (line 35) | def update_relus(self):
    method generate_gradients (line 64) | def generate_gradients(self, input_image, target_class):

FILE: src/guided_gradcam.py
  function guided_grad_cam (line 15) | def guided_grad_cam(grad_cam_mask, guided_backprop_mask):

FILE: src/integrated_gradients.py
  class IntegratedGradients (line 12) | class IntegratedGradients():
    method __init__ (line 16) | def __init__(self, model):
    method hook_layers (line 24) | def hook_layers(self):
    method generate_images_on_linear_path (line 32) | def generate_images_on_linear_path(self, input_image, steps):
    method generate_gradients (line 39) | def generate_gradients(self, input_image, target_class):
    method generate_integrated_gradients (line 54) | def generate_integrated_gradients(self, input_image, target_class, ste...

FILE: src/inverted_representation.py
  class InvertedRepresentation (line 14) | class InvertedRepresentation():
    method __init__ (line 15) | def __init__(self, model):
    method alpha_norm (line 21) | def alpha_norm(self, input_matrix, alpha):
    method total_variation_norm (line 28) | def total_variation_norm(self, input_matrix, beta):
    method euclidian_loss (line 40) | def euclidian_loss(self, org_matrix, target_matrix):
    method get_output_from_specific_layer (line 50) | def get_output_from_specific_layer(self, x, layer_id):
    method generate_inverted_image_specific_layer (line 64) | def generate_inverted_image_specific_layer(self, input_image, img_size...

FILE: src/layer_activation_with_guided_backprop.py
  class GuidedBackprop (line 15) | class GuidedBackprop():
    method __init__ (line 19) | def __init__(self, model):
    method hook_layers (line 28) | def hook_layers(self):
    method update_relus (line 35) | def update_relus(self):
    method generate_gradients (line 64) | def generate_gradients(self, input_image, target_class, cnn_layer, fil...

FILE: src/layercam.py
  class CamExtractor (line 13) | class CamExtractor():
    method __init__ (line 17) | def __init__(self, model, target_layer):
    method save_gradient (line 22) | def save_gradient(self, grad):
    method forward_pass_on_convolutions (line 25) | def forward_pass_on_convolutions(self, x):
    method forward_pass (line 37) | def forward_pass(self, x):
  class LayerCam (line 49) | class LayerCam():
    method __init__ (line 53) | def __init__(self, model, target_layer):
    method generate_cam (line 59) | def generate_cam(self, input_image, target_class=None):

FILE: src/misc_functions.py
  function convert_to_grayscale (line 19) | def convert_to_grayscale(im_as_arr):
  function save_gradient_images (line 37) | def save_gradient_images(gradient, file_name):
  function save_class_activation_images (line 55) | def save_class_activation_images(org_img, activation_map, file_name):
  function apply_colormap_on_image (line 79) | def apply_colormap_on_image(org_im, activation, colormap_name):
  function apply_heatmap (line 103) | def apply_heatmap(R, sx, sy):
  function format_np_output (line 121) | def format_np_output(np_arr):
  function save_image (line 148) | def save_image(im, path):
  function preprocess_image (line 161) | def preprocess_image(pil_im, resize_im=True):
  function recreate_image (line 202) | def recreate_image(im_as_var):
  function get_positive_negative_saliency (line 224) | def get_positive_negative_saliency(gradient):
  function get_example_params (line 238) | def get_example_params(example_index):

FILE: src/scorecam.py
  class CamExtractor (line 14) | class CamExtractor():
    method __init__ (line 18) | def __init__(self, model, target_layer):
    method forward_pass_on_convolutions (line 22) | def forward_pass_on_convolutions(self, x):
    method forward_pass (line 33) | def forward_pass(self, x):
  class ScoreCam (line 45) | class ScoreCam():
    method __init__ (line 49) | def __init__(self, model, target_layer):
    method generate_cam (line 55) | def generate_cam(self, input_image, target_class=None):

FILE: src/smooth_grad.py
  function generate_smooth_grad (line 18) | def generate_smooth_grad(Backprop, prep_img, target_class, param_n, para...

FILE: src/vanilla_backprop.py
  class VanillaBackprop (line 11) | class VanillaBackprop():
    method __init__ (line 15) | def __init__(self, model):
    method hook_layers (line 23) | def hook_layers(self):
    method generate_gradients (line 31) | def generate_gradients(self, input_image, target_class):