serve/*.c

/bbf/detect.objects

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

• ‘source’ or HTTP body: the image.
• ‘model’: what object, for now, it only supports ‘face’.

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.

• ‘source’ or HTTP body: the image.
• ‘model’: what category set, for now it supports ‘image-net-2012’ and ‘image-net-2012-vgg-d’.
• ‘top’: the number of results returned, order by confidence score.

Supported methods: GET, POST

/dpm/detect.objects

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

• ‘source’ or HTTP body: the image.
• ‘model’: what object, it now supports ‘pedestrian’ and ‘car’.

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.

• ‘source’ or HTTP body: the image.
• ‘model’: what object, for now, it only supports ‘pedestrian’.

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.

• ‘source’ or HTTP body: the image.
• ‘model’: what object, for now, it only supports ‘face’.

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.

• ‘source’ or HTTP body: the 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.

• ‘source’ or HTTP body: the initial frame image.
• ‘x’: the initial tracking rectangle’s top left coordinate.
• ‘y’: the initial tracking rectangle’s top left coordinate.
• ‘width’: the initial tracking rectangle’s width.
• ‘height’: the initial tracking rectangle’s height.

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.

• ‘source’ or HTTP body: the next frame image.
• ‘previous’: the previous frame image, please make sure this is the exact copy of the frame you previous provided, otherwise API will return ‘false’.

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.

• ‘source’ or HTTP body: the image.

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

Supported methods: GET, POST

‹  back