Commit
·
c1857cb
1
Parent(s):
1c76709
fix labels
Browse files
plots.py
CHANGED
|
@@ -1,4 +1,5 @@
|
|
| 1 |
import json
|
|
|
|
| 2 |
from pathlib import Path
|
| 3 |
from typing import Any, Dict, List
|
| 4 |
|
|
@@ -9,9 +10,9 @@ import tyro
|
|
| 9 |
from keras import ops
|
| 10 |
from matplotlib.patches import PathPatch
|
| 11 |
from matplotlib.path import Path as pltPath
|
|
|
|
| 12 |
from skimage import measure
|
| 13 |
from zea import log
|
| 14 |
-
from zea.io_lib import matplotlib_figure_to_numpy
|
| 15 |
from zea.utils import save_to_gif
|
| 16 |
from zea.visualize import plot_image_grid
|
| 17 |
|
|
@@ -46,6 +47,25 @@ def add_shape_from_mask(ax, mask, **kwargs):
|
|
| 46 |
return patches
|
| 47 |
|
| 48 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 49 |
def plot_batch_with_named_masks(
|
| 50 |
images, masks_dict, mask_colors=None, titles=None, **kwargs
|
| 51 |
):
|
|
@@ -359,7 +379,7 @@ def create_animation_frame(hazy_images, tissue_frame, haze_frame):
|
|
| 359 |
vmin=0,
|
| 360 |
vmax=255,
|
| 361 |
)
|
| 362 |
-
labels = ["Hazy", "
|
| 363 |
for i, ax in enumerate(fig_frame.axes):
|
| 364 |
label = labels[i % len(labels)]
|
| 365 |
ax.set_ylabel(label, fontsize=12)
|
|
|
|
| 1 |
import json
|
| 2 |
+
from io import BytesIO
|
| 3 |
from pathlib import Path
|
| 4 |
from typing import Any, Dict, List
|
| 5 |
|
|
|
|
| 10 |
from keras import ops
|
| 11 |
from matplotlib.patches import PathPatch
|
| 12 |
from matplotlib.path import Path as pltPath
|
| 13 |
+
from PIL import Image
|
| 14 |
from skimage import measure
|
| 15 |
from zea import log
|
|
|
|
| 16 |
from zea.utils import save_to_gif
|
| 17 |
from zea.visualize import plot_image_grid
|
| 18 |
|
|
|
|
| 47 |
return patches
|
| 48 |
|
| 49 |
|
| 50 |
+
def matplotlib_figure_to_numpy(fig):
|
| 51 |
+
"""Convert matplotlib figure to numpy array.
|
| 52 |
+
|
| 53 |
+
Args:
|
| 54 |
+
fig (matplotlib.figure.Figure): figure to convert.
|
| 55 |
+
|
| 56 |
+
Returns:
|
| 57 |
+
np.ndarray: numpy array of figure.
|
| 58 |
+
|
| 59 |
+
"""
|
| 60 |
+
buf = BytesIO()
|
| 61 |
+
fig.savefig(buf, format="png", bbox_inches="tight")
|
| 62 |
+
buf.seek(0)
|
| 63 |
+
image = Image.open(buf).convert("RGB")
|
| 64 |
+
image = np.array(image)[..., :3]
|
| 65 |
+
buf.close()
|
| 66 |
+
return image
|
| 67 |
+
|
| 68 |
+
|
| 69 |
def plot_batch_with_named_masks(
|
| 70 |
images, masks_dict, mask_colors=None, titles=None, **kwargs
|
| 71 |
):
|
|
|
|
| 379 |
vmin=0,
|
| 380 |
vmax=255,
|
| 381 |
)
|
| 382 |
+
labels = ["Hazy", "Haze", "Tissue"]
|
| 383 |
for i, ax in enumerate(fig_frame.axes):
|
| 384 |
label = labels[i % len(labels)]
|
| 385 |
ax.set_ylabel(label, fontsize=12)
|