Fix Logging (#719)

* Add logging setup

* Fix fusing layers message

* Fix logging does not have end

* Add logging

* Change logging to use logger

* Update yolo.py

I tried this in a cloned branch, and everything seems to work fine

* Update yolo.py

Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
This commit is contained in:
NanoCode012andGlenn Jocher authored and GitHub committed 2020-08-12 14:18:19 -07:00
1 parent a925f283a7
commit 0892c44bc4
5 files changed
+13 -7

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@@ -13,8 +13,8 @@ from tqdm import tqdm
from models.experimental import attempt_load
from utils.datasets import create_dataloader
from utils.general import (
coco80_to_coco91_class, check_dataset, check_file, check_img_size, compute_loss, non_max_suppression,
scale_coords, xyxy2xywh, clip_coords, plot_images, xywh2xyxy, box_iou, output_to_target, ap_per_class)
coco80_to_coco91_class, check_dataset, check_file, check_img_size, compute_loss, non_max_suppression, scale_coords,
xyxy2xywh, clip_coords, plot_images, xywh2xyxy, box_iou, output_to_target, ap_per_class, set_logging)
from utils.torch_utils import select_device, time_synchronized
@@ -39,6 +39,7 @@ def test(data,
device = next(model.parameters()).device # get model device
else: # called directly
set_logging()
device = select_device(opt.device, batch_size=batch_size)
merge, save_txt = opt.merge, opt.save_txt # use Merge NMS, save *.txt labels
if save_txt: