Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

classify/predict --save-txt fix #9478

Merged
merged 1 commit into from
Sep 18, 2022
Merged

classify/predict --save-txt fix #9478

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
13 changes: 9 additions & 4 deletions classify/predict.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -119,13 +119,15 @@ def run(
for i, prob in enumerate(pred): # per image
seen += 1
if webcam: # batch_size >= 1
p, im0 = path[i], im0s[i].copy()
p, im0, frame = path[i], im0s[i].copy(), dataset.count
s += f'{i}: '
else:
p, im0 = path, im0s.copy()
p, im0, frame = path, im0s.copy(), getattr(dataset, 'frame', 0)

p = Path(p) # to Path
save_path = str(save_dir / p.name) # im.jpg
txt_path = str(save_dir / 'labels' / p.stem) + ('' if dataset.mode == 'image' else f'_{frame}') # im.txt

s += '%gx%g ' % im.shape[2:] # print string
annotator = Annotator(im0, example=str(names), pil=True)

Expand All @@ -134,9 +136,12 @@ def run(
s += f"{', '.join(f'{names[j]} {prob[j]:.2f}' for j in top5i)}, "

# Write results
text = '\n'.join(f'{prob[j]:.2f} {names[j]}' for j in top5i)
if save_img or view_img: # Add bbox to image
text = '\n'.join(f'{prob[j]:.2f} {names[j]}' for j in top5i)
annotator.text((32, 32), text, txt_color=(255, 255, 255))
if save_txt: # Write to file
with open(f'{txt_path}.txt', 'a') as f:
f.write(text + '\n')

# Stream results
im0 = annotator.result()
Expand Down Expand Up @@ -188,7 +193,7 @@ def parse_opt():
parser.add_argument('--imgsz', '--img', '--img-size', nargs='+', type=int, default=[224], help='inference size h,w')
parser.add_argument('--device', default='', help='cuda device, i.e. 0 or 0,1,2,3 or cpu')
parser.add_argument('--view-img', action='store_true', help='show results')
parser.add_argument('--save-txt', action='store_true', help='save results to *.txt')
parser.add_argument('--save-txt', action='store_false', help='save results to *.txt')
parser.add_argument('--nosave', action='store_true', help='do not save images/videos')
parser.add_argument('--augment', action='store_true', help='augmented inference')
parser.add_argument('--visualize', action='store_true', help='visualize features')
Expand Down