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Web server and scripts for scheduling distributed YOLOv5 training jobs amongst multiple workers.
21 Commits 1 Branch 0 Tags 354 KiB
TypeScript 75.5%
Shell 9.7%
Python 9.1%
Handlebars 4.9%
Dockerfile 0.5%
Other 0.3%
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Matt McWilliams 9ee45587e0 Create new training job in a screen 2023-07-05 16:47:16 -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 Was not returning email in resObj 2023-06-30 11:08:21 -04:00
models Add yolov5 as submodule and place to put trained files 2023-06-29 00:17:03 -04:00
scripts Create new training job in a screen 2023-07-05 16:47:16 -04:00
sql Create project 2023-06-23 18:40:31 -04:00
src Was not returning email in resObj 2023-06-30 11:08:21 -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