Web server and scripts for scheduling distributed YOLOv5 training jobs amongst multiple workers.
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Matt McWilliams 4009ed345b Show correct download link in status 2023-06-30 10:53:59 -04:00
data Make data directories make more sense 2023-06-29 09:39:17 -04:00
datasets Make data directories make more sense 2023-06-29 09:39:17 -04:00
dist Show correct download link in status 2023-06-30 10:53:59 -04:00
models Add yolov5 as submodule and place to put trained files 2023-06-29 00:17:03 -04:00
scripts Caught typo in upload logic. Add export step to train 2023-06-30 10:45:07 -04:00
sql Create project 2023-06-23 18:40:31 -04:00
src Show correct download link in status 2023-06-30 10:53:59 -04:00
views Run different kinds of models 2023-06-28 23:29:45 -04:00
yolov5@0004c745da Add yolov5 as submodule and place to put trained files 2023-06-29 00:17:03 -04:00
.gitignore ignore mail scripts 2023-06-30 10:25:46 -04:00
.gitmodules Add yolov5 as submodule and place to put trained files 2023-06-29 00:17:03 -04:00
Dockerfile Move COPY statement after install to make code changes easier 2023-06-23 19:01:04 -04:00
default.env typo 2023-06-29 09:45:10 -04:00
docker-compose.yaml All features in yolo_web server for managing jobs. Add first scripts fir getting dataset on worker machines 2023-06-23 20:22:05 -04:00
package-lock.json Create project 2023-06-23 18:40:31 -04:00
package.json Create project 2023-06-23 18:40:31 -04:00
tsconfig.json Create project 2023-06-23 18:40:31 -04:00