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- _BASE_: [
- 'detector/ppyolov2_r50vd_dcn_365e_640x640_mot17half.yml',
- '_base_/mot17.yml',
- '_base_/deepsort_reader_1088x608.yml',
- ]
- metric: MOT
- num_classes: 1
- EvalMOTDataset:
- !MOTImageFolder
- dataset_dir: dataset/mot
- data_root: MOT17/images/half
- keep_ori_im: True # set as True in DeepSORT
- det_weights: https://paddledet.bj.bcebos.com/models/mot/deepsort/ppyolov2_r50vd_dcn_365e_640x640_mot17half.pdparams
- reid_weights: https://paddledet.bj.bcebos.com/models/mot/deepsort/deepsort_pplcnet.pdparams
- # reader
- EvalMOTReader:
- sample_transforms:
- - Decode: {}
- - Resize: {target_size: [640, 640], keep_ratio: False, interp: 2}
- - NormalizeImage: {mean: [0.485, 0.456, 0.406], std: [0.229, 0.224, 0.225], is_scale: True}
- - Permute: {}
- batch_size: 1
- TestMOTReader:
- inputs_def:
- image_shape: [3, 640, 640]
- sample_transforms:
- - Decode: {}
- - Resize: {target_size: [640, 640], keep_ratio: False, interp: 2}
- - NormalizeImage: {mean: [0.485, 0.456, 0.406], std: [0.229, 0.224, 0.225], is_scale: True}
- - Permute: {}
- batch_size: 1
- # DeepSORT configuration
- architecture: DeepSORT
- pretrain_weights: None
- DeepSORT:
- detector: YOLOv3 # PPYOLOv2 version
- reid: PPLCNetEmbedding
- tracker: DeepSORTTracker
- # reid and tracker configuration
- # see 'configs/mot/deepsort/reid/deepsort_pplcnet.yml'
- PPLCNetEmbedding:
- input_ch: 1280
- output_ch: 512
- DeepSORTTracker:
- input_size: [64, 192]
- min_box_area: 0
- vertical_ratio: -1
- budget: 100
- max_age: 70
- n_init: 3
- metric_type: cosine
- matching_threshold: 0.2
- max_iou_distance: 0.9
- motion: KalmanFilter
- # detector configuration: PPYOLOv2 version
- # see 'configs/mot/deepsort/detector/ppyolov2_r50vd_dcn_365e_640x640_mot17half.yml'
- YOLOv3:
- backbone: ResNet
- neck: PPYOLOPAN
- yolo_head: YOLOv3Head
- post_process: BBoxPostProcess
- ResNet:
- depth: 50
- variant: d
- return_idx: [1, 2, 3]
- dcn_v2_stages: [3]
- freeze_at: -1
- freeze_norm: false
- norm_decay: 0.
- # Tracking requires higher quality boxes, so NMS score_threshold will be higher
- BBoxPostProcess:
- decode:
- name: YOLOBox
- conf_thresh: 0.25 # 0.01 in original detector
- downsample_ratio: 32
- clip_bbox: true
- scale_x_y: 1.05
- nms:
- name: MatrixNMS
- keep_top_k: 100
- score_threshold: 0.4 # 0.01 in original detector
- post_threshold: 0.4 # 0.01 in original detector
- nms_top_k: -1
- background_label: -1
|
