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labels.jpg class names #2454

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Mar 13, 2021
Merged

labels.jpg class names #2454

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labels.png class names
glenn-jocher Mar 13, 2021
c907188
fontsize=10
glenn-jocher Mar 13, 2021
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2 changes: 1 addition & 1 deletion train.py
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Original file line number Diff line number Diff line change
Expand Up @@ -203,7 +203,7 @@ def train(hyp, opt, device, tb_writer=None, wandb=None):
# cf = torch.bincount(c.long(), minlength=nc) + 1. # frequency
# model._initialize_biases(cf.to(device))
if plots:
plot_labels(labels, save_dir, loggers)
plot_labels(labels, names, save_dir, loggers)
if tb_writer:
tb_writer.add_histogram('classes', c, 0)

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9 changes: 7 additions & 2 deletions utils/plots.py
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Expand Up @@ -269,7 +269,7 @@ def plot_study_txt(path='', x=None): # from utils.plots import *; plot_study_tx
plt.savefig(str(Path(path).name) + '.png', dpi=300)


def plot_labels(labels, save_dir=Path(''), loggers=None):
def plot_labels(labels, names=(), save_dir=Path(''), loggers=None):
# plot dataset labels
print('Plotting labels... ')
c, b = labels[:, 0], labels[:, 1:].transpose() # classes, boxes
Expand All @@ -286,7 +286,12 @@ def plot_labels(labels, save_dir=Path(''), loggers=None):
matplotlib.use('svg') # faster
ax = plt.subplots(2, 2, figsize=(8, 8), tight_layout=True)[1].ravel()
ax[0].hist(c, bins=np.linspace(0, nc, nc + 1) - 0.5, rwidth=0.8)
ax[0].set_xlabel('classes')
ax[0].set_ylabel('instances')
if 0 < len(names) < 30:
ax[0].set_xticks(range(len(names)))
ax[0].set_xticklabels(names, rotation=90, fontsize=10)
else:
ax[0].set_xlabel('classes')
sns.histplot(x, x='x', y='y', ax=ax[2], bins=50, pmax=0.9)
sns.histplot(x, x='width', y='height', ax=ax[3], bins=50, pmax=0.9)

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