Speeding up the visualization of masks
This commit is contained in:
Caleb Robinson committed
1 parent
567662b0fd
commit
0cfbf7ca96
1 file changed
+9
-10
@@ -144,15 +144,14 @@
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" sorted_anns = sorted(anns, key=(lambda x: x['area']), reverse=True)\n",
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" ax = plt.gca()\n",
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" ax.set_autoscale_on(False)\n",
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" polygons = []\n",
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" color = []\n",
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"\n",
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" img = np.ones((sorted_anns[0]['segmentation'].shape[0], sorted_anns[0]['segmentation'].shape[1], 4))\n",
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" img[:,:,3] = 0\n",
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" for ann in sorted_anns:\n",
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" m = ann['segmentation']\n",
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" img = np.ones((m.shape[0], m.shape[1], 3))\n",
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" color_mask = np.random.random((1, 3)).tolist()[0]\n",
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" for i in range(3):\n",
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" img[:,:,i] = color_mask[i]\n",
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" ax.imshow(np.dstack((img, m*0.35)))"
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" color_mask = np.concatenate([np.random.random(3), [0.35]])\n",
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" img[m] = color_mask\n",
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" ax.imshow(img)"
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]
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},
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{
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@@ -182,7 +181,7 @@
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"outputs": [
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{
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"data": {
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"image/png": 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truncated
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"image/png": "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"text/plain": [
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"<Figure size 2000x2000 with 1 Axes>"
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]
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@@ -306,7 +305,7 @@
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"outputs": [
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{
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"data": {
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"image/png": 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truncated
|
||||
"image/png": 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truncated
|
||||
"text/plain": [
|
||||
"<Figure size 2000x2000 with 1 Axes>"
|
||||
]
|
||||
@@ -396,7 +395,7 @@
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"image/png": 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truncated
|
||||
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truncated
|
||||
"text/plain": [
|
||||
"<Figure size 2000x2000 with 1 Axes>"
|
||||
]
|
||||
|
||||
Reference in new issue
Block a user