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Generate a video compilation of the regions in the that match.
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$ thingscoop search violin waking_life.mp4 Creates an index for using the current model if it does not exist.
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Print the start and end times (in seconds) of the regions in that match.
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Follow the installation instructions on the Caffe Installation page.Install ffmpeg, imagemagick, and ghostscript: brew install ffmpeg imagemagick ghostscript (Mac OS X) or apt-get install ffmpeg imagemagick ghostscript (Ubuntu).Thingscoop is based on Caffe, an open-source deep learning framework. You can specify which model you'd like to use by running thingscoop models use, where is either vgg_imagenet or googlenet_places. Right now two models are supported by thingscoop: vgg_imagenet uses the architecture described in "Very Deep Convolutional Networks for Large-Scale Image Recognition" to recognize objects from the ImageNet database, and googlenet_places uses the architecture described in "Going Deeper with Convolutions" to recognize settings and places from the MIT Places database. For example, to search a video the presence of the sky and the absence of the ocean: thingscoop search 'sky & !ocean'. Thingscoop uses a very basic query language that lets you to compose queries that test for the presence or absence of labels with the logical operators ! (not), || (or) and & (and). create a supercut of the matching regions) the input using arbitrary queries. get the start and end times of the regions in the video matching the query) and filter (i.e. Once an index for a video file has been created, you can search (i.e. When you first run thingscoop on a video file, it uses a convolutional neural network to create an "index" of what's contained in the every second of the input by repeatedly performing image classification on a frame-by-frame basis. Thingscoop is a command-line utility for analyzing videos semantically - that means searching, filtering, and describing videos based on objects, places, and other things that appear in them. Thingscoop: Utility for searching and filtering videos based on their content Description