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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 | |