Samsung's otherwise excellent 2016 range of UHD TVs received an update that added advertisements to the UI. This has been complained about at great length on Samsung's forums and repeatedly, Samsung have refused to add an option to remove them.
The ads interrupt the clean UI of the TV and are invasive. Here's an example of how they look:
This guide was originally posted on Samsung's TV forums but unfortunately, that site is a super-slow and barely accessible unusable mess.
| """ | |
| Example TensorFlow script for finetuning a VGG model on your own data. | |
| Uses tf.contrib.data module which is in release v1.2 | |
| Based on PyTorch example from Justin Johnson | |
| (https://gist.github.com/jcjohnson/6e41e8512c17eae5da50aebef3378a4c) | |
| Required packages: tensorflow (v1.2) | |
| Download the weights trained on ImageNet for VGG: | |
| ``` | |
| wget http://download.tensorflow.org/models/vgg_16_2016_08_28.tar.gz |
| import android.content.Context; | |
| import android.graphics.Matrix; | |
| import android.util.AttributeSet; | |
| import android.widget.ImageView; | |
| /** | |
| * ImageView that scales like centerCrop, but instead of showing the centre of the image, it shows the top. | |
| */ | |
| public class TopCropImageView extends ImageView { | |
| public TopCropImageView(Context context) { |
| ########################################################################## | |
| # Maximum Response filterbank from | |
| # http://www.robots.ox.ac.uk/~vgg/research/texclass/filters.html | |
| # based on several edge and bar filters. | |
| # Adapted to Python by Andreas Mueller amueller@ais.uni-bonn.de | |
| # Share and enjoy | |
| # | |
| import numpy as np | |
| import matplotlib.pyplot as plt |
