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deepsort_pcb_pyramid_r101.yml 1.21 KB
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# This config represents a ReID only configuration of DeepSORT, it has two uses.
# One is used for loading the detection results and ReID model to get tracking results;
# Another is used for exporting the ReID model to deploy infer.
_BASE_: [
'../../../datasets/mot.yml',
'../../../runtime.yml',
'../_base_/deepsort_reader_1088x608.yml',
]
EvalMOTDataset:
!MOTImageFolder
dataset_dir: dataset/mot
data_root: MOT16/images/train
keep_ori_im: True # set as True in DeepSORT
det_weights: None
reid_weights: https://paddledet.bj.bcebos.com/models/mot/deepsort_pcb_pyramid_r101.pdparams
# A ReID only configuration of DeepSORT, detector should be None.
architecture: DeepSORT
pretrain_weights: None
DeepSORT:
detector: None
reid: PCBPyramid
tracker: DeepSORTTracker
PCBPyramid:
num_conv_out_channels: 128
num_classes: 751 # default 751 classes in Market-1501 dataset.
DeepSORTTracker:
input_size: [64, 192]
min_box_area: 0 # 0 means no need to filter out too small boxes
vertical_ratio: -1 # -1 means no need to filter out bboxes, usuallly set 1.6 for pedestrian
budget: 100
max_age: 70
n_init: 3
metric_type: cosine
matching_threshold: 0.2
max_iou_distance: 0.9
motion: KalmanFilter
Python
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https://gitee.com/strongerfly/PaddleDetection.git
git@gitee.com:strongerfly/PaddleDetection.git
strongerfly
PaddleDetection
PaddleDetection
release/2.3

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