ccv

A Modern Computer Vision Library

View the Project on GitHub liuliu/ccv

serve/*.c

/bbf/detect.objects

Using BBF classifier cascade to detect objects in a given image.

You can look up the rest of parameters at ccv_bbf.c.

Supported methods: GET, POST

/convnet/classify

Using ConvNet to categorize a given image.

Supported methods: GET, POST

/dpm/detect.objects

Using DPM mixture model to detect objects in a given image.

You can look up the rest of parameters at ccv_dpm.c.

Supported methods: GET, POST

/icf/detect.objects

Using ICF classifier cascade to detect objects in a given image.

You can look up the rest of parameters at ccv_icf.c.

Supported methods: GET, POST

/scd/detect.objects

Using SCD classifier cascade to detect objects in a given image.

You can look up the rest of parameters at ccv_scd.c.

/swt/detect.words

Using SWT to detect words / texts in a given image.

You can look up the rest of parameters at ccv_swt.c.

Supported methods: GET, POST

/tld/track.object

Create a new TLD tracking instance with the initial frame.

You can look up the rest of parameters at ccv_tld.c.

Supported methods: GET, POST

On success, it will return the new tracking instance with ‘Location’ header, you can also find its ID in response[‘tld’].

/tld/track.object/[\d+]

Continue a TLD tracking instance with follow up frames.

Supported methods: GET, POST, DELETE

Please make sure that you DELETE the TLD tracking instance once you are done, otherwise the HTTP server cannot reclaim the memory it occupies.

/sift

Run SIFT feature point extraction on a given image.

You can look up the rest of parameters at ccv_sift.c.

Supported methods: GET, POST

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