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v1.3.4 update
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examples/example_patch_based_inference.ipynb

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@@ -157,13 +157,43 @@
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Visualization:"
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"List of attributes with the results of the inference:"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Useful attributes: filtered_confidences, filtered_boxes, filtered_classes_id, filtered_classes_names\n",
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"\n",
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"filtered_confidences: [0.94044673, 0.90845835, 0.9173525, 0.81130135, 0.8782713, 0.857284, 0.84000665, 0.82260907, 0.86260664, 0.8040603, ...] (length: 24)\n",
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"filtered_boxes: [[2629, 1532, 2840, 1664], [667, 1570, 768, 1686], [2108, 1134, 2221, 1194], [879, 1390, 951, 1477], [1191, 1440, 1254, 1513], [1574, 965, 1648, 1007], [1121, 1276, 1174, 1330], [562, 1090, 611, 1143], [1389, 903, 1454, 938], [1224, 1273, 1274, 1318], ...] (length: 24)\n",
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"filtered_classes_id: [2, 2, 2, 2, 2, 2, 2, 2, 2, 2, ...] (length: 24)\n",
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"filtered_classes_names: ['car', 'car', 'car', 'car', 'car', 'car', 'car', 'car', 'car', 'car', ...] (length: 24)\n",
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"\n"
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]
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}
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],
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"source": [
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"print(result)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Visualization:"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",

setup.py

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long_description = "\n" + fh.read()
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VERSION = '1.3.3'
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VERSION = '1.3.4'
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DESCRIPTION = '''Patch-Based-Inference for detection/segmentation of small objects in images.'''
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setup(

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