Suyash Gupta suyashgupta25

## pixbuffInit
let pixbuff : CVPixelBuffer? = (sceneView.session.currentFrame?.capturedImage)

## VNCoreMLRequestInit
let classificationRequest = VNCoreMLRequest(model:visionModel, completionHandler: handleDetections)

// make a global variable in your UIViewCOntroller : var requests = [VNRequest]()
self.requests = [classificationRequest]

## VNCoreMLModelInit
let visionModel = try? VNCoreMLModel(for: Painting.model)

## pythonBuildCommand
python build.py

## buildFileForTuriCreate
# Include module turicreate
import turicreate as tc

# Define all painting images annotations with bounding box details (I am showing only 5)
annotations = tc.SArray([
 [
{'label': 'painting1', 'type': 'rectangle', 'coordinates': {'height': 725, 'width': 625, 'x': 736, 'y': 636}}
 ],
 [
{'label': 'painting2', 'type': 'rectangle', 'coordinates': {'height': 735, 'width': 661, 'x': 396, 'y': 568}}

## installTuriCreate.txt
pip install turicreate
	let classificationRequest = VNCoreMLRequest(model:visionModel, completionHandler: handleDetections)

	// make a global variable in your UIViewCOntroller : var requests = [VNRequest]()
	self.requests = [classificationRequest]
	# Include module turicreate
	import turicreate as tc

	# Define all painting images annotations with bounding box details (I am showing only 5)
	annotations = tc.SArray([
	[
	{'label': 'painting1', 'type': 'rectangle', 'coordinates': {'height': 725, 'width': 625, 'x': 736, 'y': 636}}
	],
	[
	{'label': 'painting2', 'type': 'rectangle', 'coordinates': {'height': 735, 'width': 661, 'x': 396, 'y': 568}}