1. token information raw_data에서 v1.0-trainval 폴더 안에 sample.json에서 token정보를 받아와서 저장. sample.json 예시 { "token": "fd8420396768425eabec9bdddf7e64b6", "timestamp": 1533201470448696, "prev": "", "next": "6eb8a3ff0abf4f3a9380a48f2a0b87ef", "scene_token": "e7ef871f77f44331aefdebc24ec034b7" } token_info/scene-0003.json 예시(token_info.py결과) ["fd8420396768425eabec9bdddf7e64b6", "6eb8a3ff0abf4f3a9380a48f2a0b..
submission { "meta": { "use_camera": -- Whether this submission uses camera data as an input. "use_lidar": -- Whether this submission uses lidar data as an input. "use_radar": -- Whether this submission uses radar data as an input. "use_map": -- Whether this submission uses map data as an input. "use_external": -- Whether this submission uses external data as an input. }, "results": { sample_tok..
1. Data Preprocessing https://www.nuscenes.org/nuscenes#download 에서 nuscenes raw data 다운(panoptic, all data) nuscenes_preprocess.sh raw_data_dir=2 data_dir_20hz=raw_data_dir --data_folder raw_data_dir --data_folder $data_dir_20hz --mode 20hz # time st..
https://github.com/cheind/py-motmetrics GitHub - cheind/py-motmetrics: :bar_chart: Benchmark multiple object trackers (MOT) in Python :bar_chart: Benchmark multiple object trackers (MOT) in Python - GitHub - cheind/py-motmetrics: :bar_chart: Benchmark multiple object trackers (MOT) in Python github.com MOT16 format , , , , , , , , , 1280x720 예시) 1,1,763.00,272.00,189.00,38.00,1,-1,-1,-1 1,2,412...
