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siamfcpp_googlenet-uav123.yaml
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siamfcpp_googlenet-uav123.yaml
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test:
track:
exp_name: &TEST_NAME "siamfcpp_googlenet"
exp_save: &TEST_SAVE "logs"
model:
backbone:
name: "Inception3"
Inception3:
crop_pad: 4
pruned: True
losses:
names: []
task_head:
name: "DenseboxHead"
DenseboxHead:
total_stride: 8
score_size: &SCORE_SIZE_TEST 19
x_size: &X_SIZE_TEST 303
num_conv3x3: &NUM_CONV3x3 2
head_conv_bn: [False, False]
input_size_adapt: False
task_model:
name: "SiamTrack"
SiamTrack:
pretrain_model_path: "models/siamfcpp/siamfcpp-googlenet-vot-md5_f2680ba074213ee39d82fcb84533a1a6.pkl"
pipeline:
name: "SiamFCppTracker"
SiamFCppTracker:
test_lr: 0.5222592132697174
window_influence: 0.2414722810296582
penalty_k: 0.0730171190610408
x_size: *X_SIZE_TEST
num_conv3x3: *NUM_CONV3x3
tester:
names: ["UAVTester",]
UAVTester:
exp_name: *TEST_NAME
exp_save: *TEST_SAVE
device_num: 1
subsets: ["UAV123"]