##VGG16 model for Keras
This is the Keras model of the 16-layer network used by the VGG team in the ILSVRC-2014 competition.
It has been obtained by directly converting the Caffe model provived by the authors.
Details about the network architecture can be found in the following arXiv paper:
Very Deep Convolutional Networks for Large-Scale Image Recognition
K. Simonyan, A. Zisserman
| # Output a single frame from the video into an image file: | |
| ffmpeg -i input.mov -ss 00:00:14.435 -vframes 1 out.png | |
| # Output one image every second, named out1.png, out2.png, out3.png, etc. | |
| # The %01d dictates that the ordinal number of each output image will be formatted using 1 digits. | |
| ffmpeg -i input.mov -vf fps=1 out%d.png | |
| # Output one image every minute, named out001.jpg, out002.jpg, out003.jpg, etc. | |
| # The %02d dictates that the ordinal number of each output image will be formatted using 2 digits. | |
| ffmpeg -i input.mov -vf fps=1/60 out%02d.jpg |