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Upload config.yaml
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lxmert/unc-nlp/frcnn-vg-finetuned/config.yaml
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model :
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load_proposals: false
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device: cpu
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max_pool: true
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chkpoint: ""
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pixel_mean: [102.9801, 115.9465, 122.7717]
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pixel_std: [1.0, 1.0, 1.0]
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input:
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max_size_train: 1333
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min_size_train: 640
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max_size_test: 1333
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min_size_test: 800
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format: BGR
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backbone:
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freeze_at: 2
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proposal_generator:
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hidden_channels: 512
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min_size: 0.0
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anchor_generator:
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sizes: [[64, 128, 256, 512]]
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aspect_ratios: [[0.5, 1.0, 2.0]]
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angles: [[-90.0, 0.0, 90.0]]
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offset: 0
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rpn:
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batch_size_per_image : 1
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pre_nms_topk_test: 6000
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post_nms_topk_test: 300
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pre_nms_topk_train : 12000
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post_nms_topk_train : 2000
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in_features : [res4]
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boundary_thresh : -1.0
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iou_thresholds : [0.3, 0.7]
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iou_labels : [0.0, -1.0, 1.0]
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positive_fraction : 0.5
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bbox_reg_weights : [1.0, 1.0, 1.0, 1.0]
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smooth_l1_beta : 0.0
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loss_weight : 1.0
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nms_thresh : 0.7
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roi_heads:
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num_classes : 1600
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in_features : [res4]
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iou_thresholds : [0.5]
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iou_labels : [0, 1]
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positive_fraction : 0.25
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score_thresh_test : 0.2
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nms_thresh_test : [0.5, 0.6, 0.7]
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proposal_append_gt : true
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roi_box_head:
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bbox_reg_weights : [10.0, 10.0, 5.0, 5.0]
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smooth_l1_beta : 0.0
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pooler_resolution : 14
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pooler_sampling_ratio : 0
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res5halve : False
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attr: true
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num_attrs: 400
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num_fc : 0
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fc_dim : 1024
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num_conv : 0
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conv_dim : 256
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cls_agnostic_bbox_reg : False
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resnets:
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depth : 101
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out_features : [res4]
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num_groups : 1
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norm : BN
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width_per_group : 64
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stride_in_1x1 : true
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res5_dilation : 1
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res2_out_channels : 256
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stem_out_channels : 64
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solver:
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lr_scheduler_name : warmupmultisteplr
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max_iter : 270000
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base_lr : 0.002
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momentum : 0.9
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weight_decay : 0.0001
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weight_decay_norm : 0.0
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gamma : 0.1
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steps : [210000, 250000]
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warmup_factor : 0.001
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warmup_iters : 1000
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warmup_method : linear
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checkpoint_period : 5000
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ims_per_batch : 1.0
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bias_lr_factor : 1.0
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weight_decay_bias : 0.0
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size_divisibility: 0
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pad_value: 0.0
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min_detections: 36
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max_detections: 36
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