Train the InternImage model on the VisDrone+Fisheye8k dataset using 8 GPU # bash dist_train.sh <config-file> <gpu-num> bash dist_train.sh ./configs/coco/ai_city_challenge_2024_train.py 8 Models Inferencing Checkpoints For quick reproduction, download checkpoints from this link below and...
The code from the top teams in the 2020 AI City Challenge NVIDIAAICITYCHALLENGE/2020AICITY_Code_From_Top_Teams’s past year of commit activity 2134510UpdatedJan 8, 2024 2019AICITY_Code_From_Top_TeamsPublic The code from the top teams in the 2019 AI City Challenge ...
计算机视觉国际顶级会议 CVPR 的 AI City Challenge 挑战赛（以下简称 AICity）落下帷幕，来自旷视研究院的代表队荣获 Tracked-Vehicle Retrieval by Natural Language Descriptions 赛道冠军。AICity 由 NVIDIA 公司主办，先前已成功举办过五届，AICity 旨在利用 AI 技术来提升城市空间的运营效率。第六届 AICity 挑战...
Introduction NVIDIA AICity Challenge 2019 Track3 The challenge Track 3 of NVIDIA AI CITY 2019 required participating teams to submit the anomalies detected based on video feeds available from multiple cameras at intersections and along highways. Detailed information of NVIDIA AICity Challenge 2019 can ...
14. "amilan-motchallenge-devkit/".这是一个额外的MOTChallenge的Matlab评估代码(https://bitbucket.org/amilan/motchallenge-devkit/) 当执行demo_evalAIC19.m 代码时,一个对于训练集合的评估将会自动处理。 15. "DataLicenseAgreement_AICityChallenge.pdf". 数据使用许可协议 ...
3.1. The CityFlow Dataset The CityFlow dataset has been curated specifically for Track 1 and Track 2 of the 2019 AI City Challenge. The dataset contains nearly 3 hours of video collected from 40 cameras spanning across 10 intersections in a mid-sized U.S. city. The distance between two ...
trained on the 2023 NVIDIA AI City Challenge Track 5 dataset and employed genetic algorithms in selecting the optimal hyperparameters for training the model... E Soltanikazemi,A Aboah,E Arthur,... - 《Arxiv》 被引量: 0发表: 2023年 Traffic Speed Estimation from Surveillance Video Data: For ...
Meanwhile, residents may be curious about the mechanics of AI used to manage power systems in the city. XAI can be used to evaluate AI systems for safety, fairness, transparency, and adherence to regulatory requirements. Interpretation complexity is a primary challenge for XAI in infrastructure ...
The format of inference should be similar with the A2 dataset, which is provided by 2022 AI City Challenge. The format of A2 dataset as follows: A2 user_id_* CAMERAVIEW_user_id_*.MP4 CAMERAVIEW_user_id_*.MP4 CAMERAVIEW_user_id_*.MP4 ...
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