{"id":18264558,"url":"https://github.com/modeltc/lpcv_2023_solution","last_synced_at":"2025-10-09T21:35:59.343Z","repository":{"id":187442077,"uuid":"676908655","full_name":"ModelTC/LPCV_2023_solution","owner":"ModelTC","description":null,"archived":false,"fork":false,"pushed_at":"2023-11-29T06:40:44.000Z","size":42577,"stargazers_count":18,"open_issues_count":0,"forks_count":2,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-09-20T23:51:27.571Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/ModelTC.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null}},"created_at":"2023-08-10T09:36:29.000Z","updated_at":"2024-04-08T15:53:47.000Z","dependencies_parsed_at":null,"dependency_job_id":"117377ba-441d-493f-9875-360a401cd828","html_url":"https://github.com/ModelTC/LPCV_2023_solution","commit_stats":null,"previous_names":["modricwang/lpcv_2023_solution"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/ModelTC/LPCV_2023_solution","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ModelTC%2FLPCV_2023_solution","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ModelTC%2FLPCV_2023_solution/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ModelTC%2FLPCV_2023_solution/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ModelTC%2FLPCV_2023_solution/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/ModelTC","download_url":"https://codeload.github.com/ModelTC/LPCV_2023_solution/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ModelTC%2FLPCV_2023_solution/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":279002051,"owners_count":26083286,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","status":"online","status_checked_at":"2025-10-09T02:00:07.460Z","response_time":59,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2024-11-05T11:15:05.955Z","updated_at":"2025-10-09T21:35:59.322Z","avatar_url":"https://github.com/ModelTC.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# LPCV 2023 solution\n\n![Static Badge](https://img.shields.io/badge/LPCV_2023-Winner-blue)\n\n## LPCV 2023 introduction\nhttps://lpcv.ai/2023LPCVC/introduction\n\n## LPCV 2023 Leaderboard\nhttps://lpcv.ai/scoreboard/Segmentation23\n\n## News\n- 10/31/2023 IEEE Computer Society published [a blog](https://www.computer.org/publications/tech-news/events/computer-vision-for-disaster-responses?source=home) about the LPCV 2023. Our team ModelTC was announced as the winner of this year’s competition. \n\n## Inference Environment\n### Hardware\n[NVIDIA Jetson Nano 2GB](https://developer.nvidia.com/embedded/learn/get-started-jetson-nano-2gb-devkit)\n\n### Software\nrefer to official sample: [23LPCVC_Segmentation_Track-Sample_Solution](https://github.com/lpcvai/23LPCVC_Segmentation_Track-Sample_Solution) \n\n\n## Our submission\n- file `submit_pyz/submit_0803.pyz`\n- SHA256 = f1db90947eebedc3229bd5dd70ce5af586893ed8e370acce4f1b9ce33c62c315\n- Submitted at **2023-08-03 09:16:28 EST**\n- Perfomance Score **75.608**\n\n## Usage of our inference code\n- train a segmentation model on **your server**\n- export a '.onnx' file from your framework on **your server**\n- Use `trtexec` on **Jetson Nano**, convert onnx model to tensorrt model: \n```shell\ntrtexec --workspace=4096 --onnx=xxx.onnx --saveEngine=xxx.trt --best --useSpinWait --outputIOFormats=fp16:chw --inputIOFormats=fp16:chw --verbose\n```\n- put the tensorrt model file into `inference_code` folder\n- pack `inference_code` folder into pyz and submit(this step is same as the sample solution)\n\n## Training \n\nGoto [Train readme](./train/README.md) for training details, log, codebase, trained weights and reproduction\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmodeltc%2Flpcv_2023_solution","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmodeltc%2Flpcv_2023_solution","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmodeltc%2Flpcv_2023_solution/lists"}