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

mmcwilliams 5a755114c6 Don't crash process if json parse is bad		2023-12-14 14:22:55 -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	Don't crash process if json parse is bad	2023-12-14 14:22:55 -05:00
models	Add yolov5 as submodule and place to put trained files	2023-06-29 00:17:03 -04:00
scripts	Install venv with python3.9	2023-12-14 11:31:59 -05:00
sql	Create project	2023-06-23 18:40:31 -04:00
src	Don't crash process if json parse is bad	2023-12-14 14:22:55 -05:00
views	Display table of all jobs on jobs page	2023-12-14 11:19:42 -05:00
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	Added a logger and installed a number of new dependencies to support it.Added fetch-node for the client	2023-11-30 19:25:43 -05:00
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	Use handlebars with template	2023-12-14 10:29:19 -05:00
package.json	Use handlebars with template	2023-12-14 10:29:19 -05:00
requirements_yolov5.txt	Upgrade useage of torch for training on 4090, older versions dont work. See why there are so many warnings	2023-12-14 14:17:50 -05:00
tsconfig.json	Create project	2023-06-23 18:40:31 -04:00