update

Scheaven

2021-09-18 291deeb1fcf45dbf39a24aa72a213ff3fd6b3405

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
30
31
32
33
34
U  
”°æ`<ã@sbdZd
dl
Z
d
dl
mZ
d
dlmZ
d
dlmZ
d
dlTddlm    Z    
e     
¡Gd    d
„d
ejƒƒ
ZdS)z9
@author:  liaoxingyu
@contact: sherlockliao01@gmail.com
éN)
Únn)
Úbuild_backbone)
Úbuild_heads)
Ú
*é
)
ÚMETA_ARCH_REGISTRYcs@eZ
dZ‡f
d
d„Zedd„ƒ
Zdd„Zdd„Zd    d
„Z‡Z    S)ÚBaselinec    sˆtƒ 
¡
|
|_t|
jjƒ
t|
jjƒ
ks,t‚
| d
t     
|
jj¡
 dddd¡¡
| dt     
|
jj¡
 dddd¡¡
t|
ƒ
|_ t|
ƒ
|_dS)NÚ
pixel_meanréÿÿÿÿÚ    pixel_std)ÚsuperÚ__init__Ú_cfgÚlenÚMODELZ
PIXEL_MEANZ    PIXEL_STDÚAssertionErrorÚregister_bufferÚtorchÚtensorÚviewrÚbackbonerÚheads)ÚselfÚcfg©
Ú    __class__©úb/data/disk1/workspace/06_reid/01_fast_reid/02_fast_reid_inference/./modeling/meta_arch/baseline.pyr s




"
"
zBaseline.__init__c


Cs|jj
S)
N)r    Údevice)
rrrrrszBaseline.devicecCsv| |
¡
}| 
|¡
}|jrdd
|
ks*tdƒ
‚
|
d
 |j¡
}| ¡dkrN| ¡
| ||¡}||dœS| |¡
}|SdS)NÚtargetsz-Person ID annotation are missing in training!r
)Úoutputsr)    Úpreprocess_imagerÚtrainingrÚtorÚsumÚzero_r)rÚbatched_inputsÚimagesÚfeaturesrr rrrÚforward#s

 



þ

zBaseline.forwardcCs td
ƒ

|
 
|j¡
 |j¡

|
S)z7
        Normalize and batch the input images.
        zM-----------------------------------------------------------------------------)ÚprintÚsub_r    Údiv_r)rr'rrrr!9s 

zBaseline.preprocess_imagec    Cs
|
d
}|
d}|d ¡}|d}|d}t
||ƒ
i}|jjjj}d|kr‚t|||jjjjj|jjjjj    ƒ|jjjjj
|d<d|krÊt|||jjjjj |jjjjj|jjjjjƒ|jjjjj
|d    <d
|k
rt|||jjjjj |jjjjj    ƒ|jjjjj
|d<|S)zš
        Compute loss from modeling's outputs, the loss function input arguments
        must be the same as the outputs of the model forwarding.
        r rÚpred_class_logitsÚcls_outputsr(ÚCrossEntropyLossZloss_clsZTripletLossZloss_tripletZ
CircleLossZloss_circle)ÚdetachZlog_accuracyrrZLOSSESÚNAMEÚcross_entropy_lossZCEZEPSILONZALPHAZSCALEZtriplet_lossZTRIZMARGINZ    NORM_FEATZHARD_MININGZcircle_lossZCIRCLE)    rÚoutsr Z    gt_labelsr-r.Z pred_featuresZ    loss_dictZ
loss_namesrrrÚlossesJsJ









üû





ûú





üûzBaseline.losses)
Ú__name__Ú
__module__Ú__qualname__r Úpropertyrr)r!r4Ú __classcell__rrrrrs 

r) Ú__doc__rrZmodeling.backbonesrZmodeling.headsrZmodeling.lossesÚbuildrÚregisterÚModulerrrrrÚ<module>s