@@ -8,7 +8,7 @@ The five video classification methods:
1. Extract features from each frame with a ConvNet and pass the sequence to an MLP
1. Use a 3D convolutional network
See the accompanying blog post for full details: TK
See the accompanying blog post for full details: https://medium.com/@harvitronix/five-video-classification-methods-implemented-in-keras-and-tensorflow-99cad29cc0b5
## Getting the data
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@@ -24,7 +24,7 @@ Now you can run the scripts in the data folder to move the videos to the appropr
## Extracting features
Before you can run Methods #2 and #4, you need to extract features from the images with the CNN. This is done by running `extract_features.py`. On my Dell with a GeFore 960m GPU, this takes about 8 hours. If you want to limit to just the first N classes, you can set that option in the file.
Before you can run Methods #4 and #5, you need to extract features from the images with the CNN. This is done by running `extract_features.py`. On my Dell with a GeFore 960m GPU, this takes about 8 hours. If you want to limit to just the first N classes, you can set that option in the file.
