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

Feature visualization improvements 32 #3947

Merged
merged 1 commit into from
Jul 9, 2021
Merged

Feature visualization improvements 32 #3947

Show file tree
Hide file tree
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
2 changes: 1 addition & 1 deletion detect.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -103,7 +103,7 @@ def run(weights='yolov5s.pt', # model.pt path(s)
t1 = time_synchronized()
pred = model(img,
augment=augment,
visualize=increment_path(save_dir / 'features', mkdir=True) if visualize else False)[0]
visualize=increment_path(save_dir / Path(path).stem, mkdir=True) if visualize else False)[0]

# Apply NMS
pred = non_max_suppression(pred, conf_thres, iou_thres, classes, agnostic_nms, max_det=max_det)
Expand Down
11 changes: 6 additions & 5 deletions utils/plots.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -16,7 +16,7 @@
import yaml
from PIL import Image, ImageDraw, ImageFont

from utils.general import increment_path, xywh2xyxy, xyxy2xywh
from utils.general import xywh2xyxy, xyxy2xywh
from utils.metrics import fitness

# Settings
Expand Down Expand Up @@ -447,7 +447,7 @@ def plot_results(start=0, stop=0, bucket='', id=(), labels=(), save_dir=''):
fig.savefig(Path(save_dir) / 'results.png', dpi=200)


def feature_visualization(x, module_type, stage, n=64, save_dir=Path('runs/detect/exp')):
def feature_visualization(x, module_type, stage, n=32, save_dir=Path('runs/detect/exp')):
"""
x: Features to be visualized
module_type: Module type
Expand All @@ -460,13 +460,14 @@ def feature_visualization(x, module_type, stage, n=64, save_dir=Path('runs/detec
if height > 1 and width > 1:
f = f"stage{stage}_{module_type.split('.')[-1]}_features.png" # filename

plt.figure(tight_layout=True)
blocks = torch.chunk(x[0].cpu(), channels, dim=0) # select batch index 0, block by channels
n = min(n, channels) # number of plots
ax = plt.subplots(math.ceil(n / 8), 8, tight_layout=True)[1].ravel() # 8 rows x n/8 cols
fig, ax = plt.subplots(math.ceil(n / 8), 8, tight_layout=True) # 8 rows x n/8 cols
ax = ax.ravel()
plt.subplots_adjust(wspace=0.05, hspace=0.05)
for i in range(n):
ax[i].imshow(blocks[i].squeeze()) # cmap='gray'
ax[i].axis('off')

print(f'Saving {save_dir / f}... ({n}/{channels})')
plt.savefig(save_dir / f, dpi=300)
plt.savefig(save_dir / f, dpi=300, bbox_inches='tight')