Web server and scripts for scheduling distributed YOLOv5 training jobs amongst multiple workers.

mmcwilliams 86afae2683 Log when not using sm model		2023-11-29 12:57:57 -05:00
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	Accept zip file from training job	2023-11-29 12:47:20 -05:00
models	Add yolov5 as submodule and place to put trained files	2023-06-29 00:17:03 -04:00
scripts	Log when not using sm model	2023-11-29 12:57:57 -05:00
sql	Create project	2023-06-23 18:40:31 -04:00
src	Accept zip file from training job	2023-11-29 12:47:20 -05:00
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