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