Constructor for Js_objectdetectGaze which captures face and eye positions using the js_objectdetect library
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Methods
detectEyes(workingImage, width, height)
Performs eye detection on the passed workingImage
Parameters:
| Name | Type | Description |
|---|---|---|
workingImage |
ImageData | either the whole canvas or the upper half of the head |
width |
number | width of working image |
height |
number | height of working image |
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detectFace(imageCanvas, width, height)
Performs face detection on the passed canvas
Parameters:
| Name | Type | Description |
|---|---|---|
imageCanvas |
canvas | whole video canvas |
width |
number | width of imageCanvas |
height |
number | height of imageCanvas |
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findLargestRectangle(rectangles)
Goes through an array of rectangles and returns the one with the largest area
Parameters:
| Name | Type | Description |
|---|---|---|
rectangles |
array | array | array of format [xCoordinate, yCoordinate, width, height] |
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getEyePatches(imageCanvas, width, height) → {Object}
Isolates the two patches that correspond to the user's eyes
Parameters:
| Name | Type | Description |
|---|---|---|
imageCanvas |
Canvas | canvas corresponding to the webcam stream |
width |
number | of imageCanvas |
height |
number | of imageCanvas |
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Returns:
the two eye-patches, first left, then right eye
- Type
- Object
mergeRectangles(rects) → {array}
Merges detected rectangles in clusters
Taken from trackingjs and modified slightly to reflect that rectangles are arrays and not Objects
Parameters:
| Name | Type | Description |
|---|---|---|
rects |
array | rectangles to me clustered |
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Returns:
result merged rectangles
- Type
- array