Spaces:
Runtime error
Runtime error
Thiago Hersan
commited on
Commit
•
7f17661
1
Parent(s):
480594f
adds an ipynb for testing/rough-drafting
Browse files
app.ipynb
ADDED
@@ -0,0 +1,98 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"cells": [
|
3 |
+
{
|
4 |
+
"cell_type": "code",
|
5 |
+
"execution_count": null,
|
6 |
+
"metadata": {},
|
7 |
+
"outputs": [],
|
8 |
+
"source": [
|
9 |
+
"import gradio as gr\n",
|
10 |
+
"import numpy as np\n",
|
11 |
+
"from PIL import Image\n",
|
12 |
+
"from transformers import MaskFormerFeatureExtractor, MaskFormerForInstanceSegmentation"
|
13 |
+
]
|
14 |
+
},
|
15 |
+
{
|
16 |
+
"cell_type": "code",
|
17 |
+
"execution_count": null,
|
18 |
+
"metadata": {},
|
19 |
+
"outputs": [],
|
20 |
+
"source": [
|
21 |
+
"# feature_extractor = MaskFormerFeatureExtractor.from_pretrained(\"facebook/maskformer-swin-tiny-coco\")\n",
|
22 |
+
"# model = MaskFormerForInstanceSegmentation.from_pretrained(\"facebook/maskformer-swin-tiny-coco\")\n",
|
23 |
+
"feature_extractor = MaskFormerFeatureExtractor.from_pretrained(\"facebook/maskformer-swin-large-coco\")\n",
|
24 |
+
"model = MaskFormerForInstanceSegmentation.from_pretrained(\"facebook/maskformer-swin-large-coco\")\n",
|
25 |
+
"\n",
|
26 |
+
"with Image.open(\"../color-filter-calculator/assets/Artshack_screen.jpg\") as img:\n",
|
27 |
+
" img_size = (img.height, img.width)\n",
|
28 |
+
" inputs = feature_extractor(images=img, return_tensors=\"pt\")\n",
|
29 |
+
" "
|
30 |
+
]
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"cell_type": "code",
|
34 |
+
"execution_count": null,
|
35 |
+
"metadata": {},
|
36 |
+
"outputs": [],
|
37 |
+
"source": [
|
38 |
+
"outputs = model(**inputs)"
|
39 |
+
]
|
40 |
+
},
|
41 |
+
{
|
42 |
+
"cell_type": "code",
|
43 |
+
"execution_count": null,
|
44 |
+
"metadata": {},
|
45 |
+
"outputs": [],
|
46 |
+
"source": [
|
47 |
+
"results = feature_extractor.post_process_semantic_segmentation(outputs=outputs, target_sizes=[img_size])[0]\n",
|
48 |
+
"results = results.numpy()\n",
|
49 |
+
"\n",
|
50 |
+
"labels = np.unique(results)"
|
51 |
+
]
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"cell_type": "code",
|
55 |
+
"execution_count": null,
|
56 |
+
"metadata": {},
|
57 |
+
"outputs": [],
|
58 |
+
"source": [
|
59 |
+
"for label_id in labels:\n",
|
60 |
+
" print(model.config.id2label[label_id])"
|
61 |
+
]
|
62 |
+
},
|
63 |
+
{
|
64 |
+
"cell_type": "code",
|
65 |
+
"execution_count": null,
|
66 |
+
"metadata": {},
|
67 |
+
"outputs": [],
|
68 |
+
"source": []
|
69 |
+
}
|
70 |
+
],
|
71 |
+
"metadata": {
|
72 |
+
"kernelspec": {
|
73 |
+
"display_name": "Python 3.8.15 ('hf-gradio')",
|
74 |
+
"language": "python",
|
75 |
+
"name": "python3"
|
76 |
+
},
|
77 |
+
"language_info": {
|
78 |
+
"codemirror_mode": {
|
79 |
+
"name": "ipython",
|
80 |
+
"version": 3
|
81 |
+
},
|
82 |
+
"file_extension": ".py",
|
83 |
+
"mimetype": "text/x-python",
|
84 |
+
"name": "python",
|
85 |
+
"nbconvert_exporter": "python",
|
86 |
+
"pygments_lexer": "ipython3",
|
87 |
+
"version": "3.8.15"
|
88 |
+
},
|
89 |
+
"orig_nbformat": 4,
|
90 |
+
"vscode": {
|
91 |
+
"interpreter": {
|
92 |
+
"hash": "4888b226c77b860705e4be316b14a092026f41c3585ee0ddb38f3008c0cb495e"
|
93 |
+
}
|
94 |
+
}
|
95 |
+
},
|
96 |
+
"nbformat": 4,
|
97 |
+
"nbformat_minor": 2
|
98 |
+
}
|