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visualization #11026

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visualization #11026

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c27238f
visualization
bobo0810 Feb 20, 2023
75b98cd
[pre-commit.ci] auto fixes from pre-commit.com hooks
pre-commit-ci[bot] Feb 20, 2023
fbbc132
cleanup
glenn-jocher Feb 20, 2023
66a4f9c
Merge branch 'master' into master
glenn-jocher Feb 20, 2023
829377a
[pre-commit.ci] auto fixes from pre-commit.com hooks
pre-commit-ci[bot] Feb 20, 2023
053fc58
Update __init__.py
glenn-jocher Feb 21, 2023
1c7bde5
Update __init__.py
glenn-jocher Feb 21, 2023
6ac472a
Merge branch 'master' into master
bobo0810 Feb 27, 2023
61396b3
Merge branch 'master' into master
bobo0810 May 24, 2023
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13 changes: 9 additions & 4 deletions utils/loggers/__init__.py
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Original file line number Diff line number Diff line change
Expand Up @@ -180,11 +180,14 @@ def on_train_batch_end(self, model, ni, imgs, targets, paths, vals):
log_tensorboard_graph(self.tb, model, imgsz=(self.opt.imgsz, self.opt.imgsz))
if ni == 10 and (self.wandb or self.clearml):
files = sorted(self.save_dir.glob('train*.jpg'))
files = [f for f in files if f.exists()] # filter by exists
if self.wandb:
self.wandb.log({'Mosaics': [wandb.Image(str(f), caption=f.name) for f in files if f.exists()]})
self.wandb.log({'Mosaics': [wandb.Image(str(f), caption=f.name) for f in files]})
if self.clearml:
self.clearml.log_debug_samples(files, title='Mosaics')

if self.tb:
for f in files:
self.tb.add_image(f.stem, cv2.imread(str(f))[..., ::-1], dataformats='HWC')
if self.comet_logger:
self.comet_logger.on_train_batch_end(log_dict, step=ni)

Expand Down Expand Up @@ -213,13 +216,15 @@ def on_val_batch_end(self, batch_i, im, targets, paths, shapes, out):

def on_val_end(self, nt, tp, fp, p, r, f1, ap, ap50, ap_class, confusion_matrix):
# Callback runs on val end
if self.wandb or self.clearml:
if self.wandb or self.clearml or self.tb:
files = sorted(self.save_dir.glob('val*.jpg'))
if self.wandb:
self.wandb.log({'Validation': [wandb.Image(str(f), caption=f.name) for f in files]})
if self.clearml:
self.clearml.log_debug_samples(files, title='Validation')

if self.tb:
for f in files:
self.tb.add_image(f.stem, cv2.imread(str(f))[..., ::-1], dataformats='HWC')
if self.comet_logger:
self.comet_logger.on_val_end(nt, tp, fp, p, r, f1, ap, ap50, ap_class, confusion_matrix)

Expand Down