43 lines
1.2 KiB
YAML
43 lines
1.2 KiB
YAML
data: config/datasets/mvimage.yml
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exp: config/mvmp/detect_match_triangulate_fitSMPL.yml
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data_opts:
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root: TO_BE_FILLED
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# subs: ['01', '03', '05', '07', '09', '11', '13', '15', '17', '19', '21', '23']
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subs: ['01', '04', '07', '10', '13', '16', '19', '22'] # Use 8 cameras
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subs_vis: ['01', '07', '13', '19'] # Visualize 4 cameras
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ranges: [0, 200, 1]
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exp_opts:
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output: output/boxing
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at_step:
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detect:
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args:
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min_length: 200
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max_length: 1000
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match:
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args:
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cfg_match:
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distance:
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threshold_track: 0.05
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triangulate:
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min_view: 3 # at least 3 views to triangulate
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min_view_body: 4 # at least 5 views to triangulate
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dist_max: 25 # pixel
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dist_track: 50 # 100mm；
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cfg_track:
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final_ranges: [[-3, -3, 0.], [3, 3, 3.]] # 最终的输出的range，仅用于输出的时候的筛选
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at_final:
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collect:
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args:
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min_frame: 100
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fitting_each_person:
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args:
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stages:
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refine_poses:
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args:
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loss:
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smooth:
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weight: 1.
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vis_render:
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args:
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view_list: [3]
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scale: 1. |