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Update .pre-commit-config.yaml (#11009)

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* Update .pre-commit-config.yaml

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* Update __init__.py

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>

* Update .pre-commit-config.yaml

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>

* Pre-commit updates

* Pre-commit updates

---------

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
This commit is contained in:
Glenn Jocherandpre-commit-ci[bot] authored and GitHub committed 2023-02-18 01:06:24 +01:00
1 parent 34e1bc8ee3
commit 7a972e86c4
39 files changed
+389 -392
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utils/segment/plots.py
+10 -10
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@@ -108,13 +108,13 @@ def plot_images_and_masks(images, targets, masks, paths=None, fname='images.jpg'
annotator.im.save(fname) # save
def plot_results_with_masks(file="path/to/results.csv", dir="", best=True):
def plot_results_with_masks(file='path/to/results.csv', dir='', best=True):
# Plot training results.csv. Usage: from utils.plots import *; plot_results('path/to/results.csv')
save_dir = Path(file).parent if file else Path(dir)
fig, ax = plt.subplots(2, 8, figsize=(18, 6), tight_layout=True)
ax = ax.ravel()
files = list(save_dir.glob("results*.csv"))
assert len(files), f"No results.csv files found in {save_dir.resolve()}, nothing to plot."
files = list(save_dir.glob('results*.csv'))
assert len(files), f'No results.csv files found in {save_dir.resolve()}, nothing to plot.'
for f in files:
try:
data = pd.read_csv(f)
@@ -125,19 +125,19 @@ def plot_results_with_masks(file="path/to/results.csv", dir="", best=True):
for i, j in enumerate([1, 2, 3, 4, 5, 6, 9, 10, 13, 14, 15, 16, 7, 8, 11, 12]):
y = data.values[:, j]
# y[y == 0] = np.nan # don't show zero values
ax[i].plot(x, y, marker=".", label=f.stem, linewidth=2, markersize=2)
ax[i].plot(x, y, marker='.', label=f.stem, linewidth=2, markersize=2)
if best:
# best
ax[i].scatter(index, y[index], color="r", label=f"best:{index}", marker="*", linewidth=3)
ax[i].set_title(s[j] + f"\n{round(y[index], 5)}")
ax[i].scatter(index, y[index], color='r', label=f'best:{index}', marker='*', linewidth=3)
ax[i].set_title(s[j] + f'\n{round(y[index], 5)}')
else:
# last
ax[i].scatter(x[-1], y[-1], color="r", label="last", marker="*", linewidth=3)
ax[i].set_title(s[j] + f"\n{round(y[-1], 5)}")
ax[i].scatter(x[-1], y[-1], color='r', label='last', marker='*', linewidth=3)
ax[i].set_title(s[j] + f'\n{round(y[-1], 5)}')
# if j in [8, 9, 10]: # share train and val loss y axes
# ax[i].get_shared_y_axes().join(ax[i], ax[i - 5])
except Exception as e:
print(f"Warning: Plotting error for {f}: {e}")
print(f'Warning: Plotting error for {f}: {e}')
ax[1].legend()
fig.savefig(save_dir / "results.png", dpi=200)
fig.savefig(save_dir / 'results.png', dpi=200)
plt.close()