# Build Contour Integration Model
# -------------------------------
print("Building Contour Integration Model...")
# Multiplicative Model
contour_integration_model = cont_int_models.build_contour_integration_model(
"multiplicative",
"trained_models/AlexNet/alexnet_weights.h5",
n=25,
activation='relu')
# contour_integration_model.summary()
# Define callback functions to get activations of L1 convolutional layer &
# L2 contour integration layer
l1_activations_cb = alex_net_utils.get_activation_cb(
contour_integration_model, 1)
l2_activations_cb = alex_net_utils.get_activation_cb(
contour_integration_model, 2)
# Store the start weights & bias for comparison later
start_weights, start_bias = contour_integration_model.layers[
2].get_weights()
# Build the Contour Image Generator
# ---------------------------------
print("Building Train Image Generator ...")
feature_extract_kernels = K.eval(
contour_integration_model.layers[1].weights[0])
feature_extract_kernel = feature_extract_kernels[:, :, :, tgt_filter_idx]
fragment = np.zeros((11, 11, 3))
# activation='relu'
# )
# Multiplicative Model
contour_integration_model = cont_int_models.build_contour_integration_model(
"multiplicative",
"trained_models/AlexNet/alexnet_weights.h5",
n=25,
activation='relu')
# contour_integration_model.summary()
feat_extract_kernels = K.eval(
contour_integration_model.layers[1].weights[0])
# callbacks to get activations of first feature extracting & contour integration layers
feat_extract_activations_cb = alex_net_utils.get_activation_cb(
contour_integration_model, 1)
cont_int_activations_cb = alex_net_utils.get_activation_cb(
contour_integration_model, 2)
# Store the start weights & bias for comparison later
start_weights, start_bias = contour_integration_model.layers[
2].get_weights()
# Feature extracting kernel to target
# ------------------------------------------------------------------------
tgt_feat_extract_kernel_idx = 54
tgt_filter_idx = feat_extract_kernels[:, :, :, tgt_feat_extract_kernel_idx]
tgt_filter_len = tgt_filter_idx.shape[0]
tgt_neuron_loc = (27, 27)
