Requirements

Detectron 2 Training

Install relevant Detectron 2 version after checking cuda and torch versions.

To reproduce the enviroment, there are several options provided to try (arranged as clean to bloated):

req_pigar.txt

Uses Pigar package to generate only the requirements in accordance with imports in code.
Only considers the imports of the specific repo (Detectron2_train in this case)
This boils it down to the minimum installations and reduces possibilities of conflicts.
The txt file can be used normally via pip to recreate environment
You may require to approve and/or initiate further installations if prompted, depending on your base installations.

req_pipreqs.txt

Uses pipreqs package to generate requirements from imports.
--use-local flag was used.

env_no_builds.yml

conda export without build strings
suggested here
Useful for OS-agnostic installation

More bloated installations : (irrelevant packages could be present)

env.yml

usual full conda export of environment with builds specific to original platform.

req_piplist.txt

frozen pip list.
suggested here

req_pipfreeze.txt

usual pip freeze of full environment, could fail to resolve directories.
only records and saves the packages that were installed with pip install.