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
B
l‹`ã@sbdZddlZddlmZddlmZddlmZddlTddlm    Z    e     
¡Gd    d
„d
ej ƒƒZ dS) z9
@author:  liaoxingyu
@contact: sherlockliao01@gmail.com
éN)Únn)Úbuild_backbone)Ú build_heads)Ú*é)ÚMETA_ARCH_REGISTRYcs@eZdZ‡fdd„Zedd„ƒZdd„Zdd„Zd    d
„Z‡Z    S) ÚBaselinec    sˆtƒ ¡||_t|jjƒt|jjƒks,t‚| dt     
|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__©ú ./modeling/meta_arch/baseline.pyr s
""
zBaseline.__init__cCs|jjS)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)rZbatched_inputsÚimagesÚfeaturesrrrrrÚforward#s
 
 
zBaseline.forwardcCs | |j¡ |j¡t|ƒ|S)z7
        Normalize and batch the input images.
        )Úsub_r    Údiv_r Úprint)rr%rrrr js zBaseline.preprocess_imagec    Cs |d}|d}|d ¡}|d}|d}t||ƒi}|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.
        rrÚpred_class_logitsÚ cls_outputsr&ÚCrossEntropyLossZloss_clsZ TripletLossZ loss_tripletZ
CircleLossZ loss_circle)ÚdetachZ log_accuracyrrZLOSSESÚNAMEZcross_entropy_lossZCEZEPSILONZALPHAZSCALEZ triplet_lossZTRIZMARGINZ    NORM_FEATZ HARD_MININGZ circle_lossZCIRCLE)    rÚoutsrZ    gt_labelsr+r,Z pred_featuresZ    loss_dictZ
loss_namesrrrÚlosseszs> 
 
 zBaseline.losses)
Ú__name__Ú
__module__Ú __qualname__r Úpropertyrr'r r1Ú __classcell__rr)rrrs
 Gr) Ú__doc__rrZmodeling.backbonesrZmodeling.headsrZmodeling.lossesÚbuildrÚregisterÚModulerrrrrÚ<module>s