forked from udacity/CarND-Vehicle-Detection
-
Notifications
You must be signed in to change notification settings - Fork 0
/
notes.txt
executable file
·29 lines (22 loc) · 869 Bytes
/
notes.txt
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
color_space = 'YCrCb' # can be RGB, HSV, LUV, HLS, YUV, YCrCb
orient = 9
pix_per_cell = 8
cell_per_block = 2
hog_channel = 'ALL' # can be 0, 1, 2, 'ALL'
spatial_size = (32, 32) # Spatial binning dimensions (downsizing)
hist_bins = 32 # number of histogram bins
-----------
spatial_feat = True # Spatial features on or off
hist_feat = True # Histogram features on or off
hog_feat = True # HOG features on or off
=============
FINAL PARAMETERS
color_space = YCrCb = 99.6% - performs slightly better from test and histogram observation
orient = 8
pix_per_cell = 16
cells_per_block = 4
hog_channel = 'ALL' because of distribution between random car/notcar pairs and lighting
spatial_size 24 - went to 98.9 when lowered to 16. so will keep. back up at 24
hist_bins = 16 bins fast operation and also histogram show enough resolution
HSV = 99.1
LUV didn't work for me.