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widerface_640
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?
true
The text was updated successfully, but these errors were encountered:
you can try different combination of these configures
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Specifically, I am referring to this
Which of them are
true
during training?The text was updated successfully, but these errors were encountered: