psaboia

import cv2
import numpy as np
from sklearn import cluster

params = cv2.SimpleBlobDetector_Params()

params.filterByInertia
params.minInertiaRatio = 0.6

detector = cv2.SimpleBlobDetector_create(params)

psaboia

# coding: utf-8

# # DeepDreaming with TensorFlow

# >[Loading and displaying the model graph](#loading)
# 
# >[Naive feature visualization](#naive)
# 
# >[Multiscale image generation](#multiscale)

psaboia

VGG-Face model for Keras

This is the Keras model of VGG-Face.

It has been obtained through the following method:

• vgg-face-keras:directly convert the vgg-face matconvnet model to keras model
• vgg-face-keras-fc:first convert vgg-face caffe model to mxnet model,and then convert it to keras model

Details about the network architecture can be found in the following paper: