I hereby claim:
- I am qw3rtman on github.
- I am qw3rtman (https://keybase.io/qw3rtman) on keybase.
- I have a public key whose fingerprint is 3E53 1B1D FED6 4336 13D1 B17E D606 74F5 9E0C E030
To claim this, I am signing this object:
map_size = 192 | |
pos_map = torch.FloatTensor([map_size // 2, map_size]) | |
def cam_to_map(points): | |
points[:,0] *= 32768 | |
points[:,1] *= 4000 | |
points[..., 1] *= -1 | |
pixel_coords = (points - points[0]) + pos_map | |
return pixel_coords |
name: "CaffeNet" | |
layer { | |
name: "data" | |
type: "Data" | |
top: "data" | |
top: "label" | |
include { | |
phase: TRAIN | |
} | |
transform_param { |
(sk) nid00009(380)$ python rffsvm.py ptrain=1.0 ptest=1.0 n=7 fdim=384 | |
Random Fourier Feature Support Vector Classifier | |
| [0.05s | 0.01MB] 7->384 Random Fourier Feature created | |
| Loading Images... | |
| | [0.02s | 0.09MB] loaded patient 12241 | |
| | [0.02s | 0.06MB] loaded patient 16534 | |
| | [0.02s | 0.09MB] loaded patient 14078 | |
| | [0.02s | 0.06MB] loaded patient 8957 | |
| | [0.03s | 0.09MB] loaded patient 14212 | |
| | [0.03s | 0.09MB] loaded patient 12876 |
(sk) nid00009(378)$ python rffsvm.py ptrain=1.0 ptest=1.0 n=7 fdim=300 | |
Random Fourier Feature Support Vector Classifier | |
| [0.04s | 0.01MB] 7->300 Random Fourier Feature created | |
| Loading Images... | |
| | [0.02s | 0.06MB] loaded patient 16534 | |
| | [0.02s | 0.09MB] loaded patient 12241 | |
| | [0.02s | 0.09MB] loaded patient 14078 | |
| | [0.02s | 0.06MB] loaded patient 8957 | |
| | [0.03s | 0.06MB] loaded patient 14212 | |
| | [0.03s | 0.09MB] loaded patient 12876 |
(sk) nid00009(377)$ python rffsvm.py ptrain=0.2 ptest=1.0 n=7 fdim=300 | |
Random Fourier Feature Support Vector Classifier | |
| [0.03s | 0.01MB] 7->300 Random Fourier Feature created | |
| Loading Images... | |
| | [0.02s | 0.09MB] loaded patient 12241 | |
| | [0.02s | 0.06MB] loaded patient 16534 | |
| | [0.02s] error loading patient 14078: all the input arrays must have same number of dimensions | |
| | [0.02s | 0.06MB] loaded patient 8957 | |
| | [0.03s | 0.06MB] loaded patient 14212 | |
| | [0.03s | 0.09MB] loaded patient 12876 |
(sk) nid00010(372)$ python ksvm.py ptrain=0.01 ptest=1.0 | |
Kernel SVM | |
| Loading Images... | |
| | [0.02s | 0.06MB] loaded patient 16534 | |
| | [0.02s | 0.09MB] loaded patient 12241 | |
| | [0.02s | 0.09MB] loaded patient 14078 | |
| | [0.03s | 0.12MB] loaded patient 13458 | |
| | [0.03s | 0.15MB] loaded patient 9347 | |
| | [0.03s | 0.09MB] loaded patient 14212 | |
| | [0.03s | 0.06MB] loaded patient 8957 |
(sk) nid00010(332)$ python rffsvm.py ptrain=1.0 ptest=1.0 fdim=500 n=8 kernel=L | |
Random Fourier Feature Support Vector Classifier | |
| [0.07s | 0.00MB] 8->500 Random Fourier Feature created | |
| Loading Images... | |
| | [0.02s | 0.06MB] loaded patient 16534 | |
| | [0.02s | 0.09MB] loaded patient 12241 | |
| | [0.02s | 0.09MB] loaded patient 14078 | |
| | [0.02s | 0.06MB] loaded patient 8957 | |
| | [0.03s | 0.06MB] loaded patient 14212 | |
| | [0.03s | 0.09MB] loaded patient 12876 |
(sk) nid00010(326)$ python rffsvm.py ptrain=1.0 ptest=1.0 fdim=500 n=4 kernel=L | |
Random Fourier Feature Support Vector Classifier | |
| [0.04s | 0.00MB] 4->500 Random Fourier Feature created | |
| Loading Images... | |
| | [0.02s | 0.06MB] loaded patient 16534 | |
| | [0.02s | 0.09MB] loaded patient 12241 | |
| | [0.02s | 0.09MB] loaded patient 14078 | |
| | [0.03s | 0.06MB] loaded patient 8957 | |
| | [0.03s | 0.09MB] loaded patient 14212 | |
| | [0.03s | 0.09MB] loaded patient 12876 |
(sk) nid00010(324)$ python rffsvm.py ptrain=1.0 ptest=1.0 fdim=500 n=4 kernel=G | |
Random Fourier Feature Support Vector Classifier | |
| [0.00s | 0.01MB] 4->500 Random Fourier Feature created | |
| Loading Images... | |
| | [0.02s | 0.09MB] loaded patient 12241 | |
| | [0.02s | 0.06MB] loaded patient 16534 | |
| | [0.02s | 0.09MB] loaded patient 14078 | |
| | [0.02s | 0.06MB] loaded patient 8957 | |
| | [0.03s | 0.09MB] loaded patient 14212 | |
| | [0.03s | 0.09MB] loaded patient 12876 |
I hereby claim:
To claim this, I am signing this object: