yolov5/utils
Adrian Holovaty 3f74cd9ed1
Parameterize max_det + inference default at 1000 (#3215)
* Added max_det parameters in various places

* 120 character line

* PEP8

* 120 character line

* Update inference default to 1000 instances

* Update inference default to 1000 instances

Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
2021-05-17 22:47:44 +02:00
..
aws Implement yaml.safe_load() (#2876) 2021-04-21 14:34:45 +02:00
flask_rest_api Update JSON response (#3139) 2021-05-12 18:23:50 +02:00
google_app_engine adding the configuration to deploy yolov5 in in app engine (#964) 2020-09-22 11:48:44 -07:00
wandb_logging Explicitly convert artifact path to posix_path (#3067) 2021-05-07 19:53:56 +02:00
__init__.py initial commit 2020-05-29 17:04:54 -07:00
activations.py ACON Activation batch-size 1 bug patch (#2901) 2021-04-25 22:54:07 +02:00
autoanchor.py Update check_requirements() exclude list (#2974) 2021-04-29 21:16:23 +02:00
datasets.py Update datasets.py (#3216) 2021-05-17 22:24:26 +02:00
general.py Parameterize max_det + inference default at 1000 (#3215) 2021-05-17 22:47:44 +02:00
google_utils.py Hubconf.py bug fix (#3007) 2021-05-01 18:15:17 +02:00
loss.py Add --label-smoothing eps argument to train.py (default 0.0) (#2344) 2021-03-29 18:45:46 +02:00
metrics.py bug fix: switched rows and cols for correct detections in confusion matrix (#2883) 2021-04-22 00:49:55 +02:00
plots.py Silent Patches Bug Fix (#3214) 2021-05-17 17:47:30 +02:00
torch_utils.py Speed profiling improvements (#2648) 2021-03-29 15:19:07 +02:00