Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Can I know which of the options in widerface_640 config are toggled during training? #29

Open
yxchng opened this issue Apr 24, 2019 · 1 comment

Comments

@yxchng
Copy link

yxchng commented Apr 24, 2019

Specifically, I am referring to this

widerface_640 = {
    'num_classes': 2,

     #'lr_steps': (80000, 100000, 120000),
     #'max_iter': 120000,
     'lr_steps': (40000, 50000, 60000),
     'max_iter': 60000,

    'feature_maps': [160, 80, 40, 20, 10, 5],
    'min_dim': 640,

    'steps': [4, 8, 16, 32, 64, 128],   # stride 
    
    'variance': [0.1, 0.2],
    'clip': True,  # make default box in [0,1]
    'name': 'WIDERFace',
    'l2norm_scale': [10, 8, 5],
    'base': [64, 64, 'M', 128, 128, 'M', 256, 256, 256, 'C', 512, 512, 512, 'M', 512, 512, 512] , 
    'extras': [256, 'S', 512, 128, 'S', 256],
    
    'mbox': [1, 1, 1, 1, 1, 1] , 
    #'mbox': [2, 2, 2, 2, 2, 2],
    #'mbox': [4, 4, 4, 4, 4, 4],
    'min_sizes': [16, 32, 64, 128, 256, 512],
    'max_sizes': [],
    #'max_sizes': [8, 16, 32, 64, 128, 256],
    #'aspect_ratios': [ [],[],[],[],[],[] ],   # [1,2]  default 1
    'aspect_ratios': [ [1.5],[1.5],[1.5],[1.5],[1.5],[1.5] ],   # [1,2]  default 1
    
    'backbone': 'resnet152' , # vgg, resnet, detnet, resnet50
    'feature_pyramid_network':True ,
    'bottom_up_path': False ,
    'feature_enhance_module': True ,
    'max_in_out': True , 
    'focal_loss': False ,
    'progressive_anchor': True ,
    'refinedet': False ,   
    'max_out': False , 
    'anchor_compensation': False , 
    'data_anchor_sampling': False ,
   
    'overlap_thresh' : [0.4] ,
    'negpos_ratio':3 , 
    # test
    'nms_thresh':0.3 ,
    'conf_thresh':0.01 ,
    'num_thresh':5000 ,
}

Which of them are true during training?

@swordlidev
Copy link
Contributor

you can try different combination of these configures

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

2 participants