I) 	ALL classes of MSR interleaved with CambridgeToyota
II) 	Just CamToy classes + shortcuts
III) 	Color-coding lookup chart, sequential
IV)	Hierarchy of CamToy classes - up for discussion










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========================================================================

I) 
// Below are the classes along with their colors - twice.
// First, ALL the classes, with MSR interleaved with CamToyota, 
// 	where XXblah means we're not using that MSR class.
// Second, same list, but only the CamToyota classes are listed,
//	and these include the short-cut keys we use ( "= <letter>" ).
// I checked with the listing at the very bottom: these are sequential!
===================================

Void		0 	0 	0
Building 	128 	0 	0
XXgrass		0 128 0
Tree		128 	128 	0
XXcow		0 0 128
XXhorse		128 0 128
XXsheep		0 128 128
Sky		128 	128 	128
XXmountain	64 0 0
XXaeroplane	192 0 0
XXwater		64 128 0
XXface		192 128 0
Car		64 	0 	128
Archway		192 	0 	128
XXflower	64 128 128
SignSymbol	192 	128 	128
XXbird		0 64 0
XXbook		128 64 0
XXchair		0 192 0
XXmotorbike	128 192 0
XXperson	0 64 128
Road		128 	64 	128
XXcat		0 192 128
XXdog		128 192 128
Pedestrian	64 	64 	0
XXboat		192 64 0
Wall		64 	192 	0
VegetationMisc	192 192 0
Fence		64 	64 	128
Train		192 64 128
ParkingBlock	64 192 128
Column_Pole	192 192 128
TrafficCone	0 0 64
XXunused	128 0 64
Bridge		0 128 64
Misc_Text	128 128 64
Sidewalk	0 0 192
LaneMkgsDriv	128 0 192
Bicyclist	0 128 192
RoadShoulder	128 128 192
Tunnel		64 0 64
LaneMkgsNonDriv	192 0 64
Animal		64 128 64
Child		192 128 64
CartLuggagePram	64 0 192
MotorcycleScooter	192 0 192
SUVPickupTruck	64 128 192
Truck_Bus	192 128 192
TrafficLight	0 64 64
OtherMoving	128 64 64

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II) 

= d Void	0 	0 	0
= u Building 	128 	0 	0
		0 128 0
= e Tree	128 	128 	0
		0 0 128
		128 0 128
		0 128 128
= k Sky		128 	128 	128
		64 0 0
		192 0 0
		64 128 0
		192 128 0
= c Car		64 	0 	128
Archway		192 	0 	128
		64 128 128
= y SignSymbol	192 	128 	128
		0 64 0
		128 64 0
		0 192 0
		128 192 0
		0 64 128
= r Road	128 	64 	128
		0 192 128
		128 192 128
= i Pedestrian	64 	64 	0
		192 64 0
= w Wall	64 	192 	0
= v VegetationMisc	192 192 0
= f Fence	64 	64 	128
Train	192 64 128
= p ParkingBlock	64 192 128
Column_Pole	192 192 128
= t TrafficCone	0 0 64
		128 0 64
= g Bridge	0 128 64
= m Misc_Text	128 128 64
= s Sidewalk	0 0 192
= l LaneMkgsDriv	128 0 192
= b Bicyclist	0 128 192
RoadShoulder	128 128 192
= n Tunnel		64 0 64
LaneMkgsNonDriv	192 0 64
= a Animal		64 128 64
Child			192 128 64
CartLuggagePram	64 0 192
MotorcycleScooter	192 0 192
SUVPickupTruck	64 128 192
Truck_Bus		192 128 192
TrafficLight	0 64 64
= o OtherMoving		128 64 64


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III)

// From ClassColorCoder's output (Jamie's)
==========================================

0                0 0 0
1                128 0 0
2                0 128 0
3                128 128 0
4                0 0 128
5                128 0 128
6                0 128 128
7                128 128 128
8                64 0 0
9                192 0 0
10               64 128 0
11               192 128 0
12               64 0 128
13               192 0 128
14               64 128 128
15               192 128 128
16               0 64 0
17               128 64 0
18               0 192 0
19               128 192 0
20               0 64 128
21               128 64 128
22               0 192 128
23               128 192 128
24               64 64 0
25               192 64 0
26               64 192 0
27               192 192 0
28               64 64 128
29               192 64 128
30               64 192 128
31               192 192 128
32               0 0 64
33               128 0 64
34               0 128 64
35               128 128 64
36               0 0 192
37               128 0 192
38               0 128 192
39               128 128 192
40               64 0 64
41               192 0 64
42               64 128 64
43               192 128 64
44               64 0 192
45               192 0 192
46               64 128 192
47               192 128 192
48               0 64 64
49               128 64 64



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//	IV)  CamToyota Class hierarchy


Note: so far, we've only used single entries from the list, so no 
	nesting of categories (ie Road hasn't yet included RoadShoulder)


Example: 
----------(Semantic category)----------
A
	B
	C
	<-D
Example explained: 	Pixels in the images are painted as A, B, and C, 
				but could probably all go under by the name "A".
				There are 4 "Semantic categories" that don't appear
				as classes in the data, but if we had to describe the 
				world with just 4 classes (or wanted 100% accuracy)
				these would be the 4 to get right.
				<-D = I think D is separate, but could go either way.
==================================
----------(Road)----------
Road				128 64 128		21
	RoadShoulder	128 128 192		39
	LaneMkgsDriv	128 0 192		37
	LaneMkgsNonDriv	192 0 64		41


----------(Fixed Objects)----------
Building 			128 0 0		1
	Wall			64 192 0		26
	Bridge		0 128 64		34
	<-Fence		64 64 128		28

Tree				128 128 0		3
	VegetationMisc	192 192 0		27

Sidewalk			0 0 192		36
	ParkingBlock	64 192 128		30

SignSymbol			192 128 128		15
	Misc_Text		128 128 64		35
	<-TrafficLight	0 64 64		48

Column_Pole			192 192 128		31
	TrafficCone		0 0 64		32



----------(Moving Objects)----------
Car				64 0 128		12
	SUVPickupTruck	64 128 192		46
	<-Truck_Bus		192 128 192		47

Train				192 64 128		29
Animal			64 128 64		42
Pedestrian			64 64 0		24
	Child			192 128 64		43
	CartLuggagePram	64 0 192		44

Bicyclist			0 128 192		38
	MotorcycleScooter	192 0 192		45

OtherMoving			128 64 64		49


----------(Ceiling)----------
Sky				128 128 128		7
Archway			192 0 128		13
Tunnel			64 0 64		40