|
1243 | 1243 | "source": [ |
1244 | 1244 | "# Upload your own images\n", |
1245 | 1245 | "from google.colab import files\n", |
| 1246 | + "import os\n", |
1246 | 1247 | "\n", |
1247 | 1248 | "print(\"Upload first image:\")\n", |
1248 | 1249 | "uploaded1 = files.upload()\n", |
1249 | 1250 | "img1_name = list(uploaded1.keys())[0]\n", |
| 1251 | + "img1_path = os.path.join('/content', img1_name)\n", |
1250 | 1252 | "\n", |
1251 | 1253 | "print(\"\\nUpload second image:\")\n", |
1252 | 1254 | "uploaded2 = files.upload()\n", |
1253 | 1255 | "img2_name = list(uploaded2.keys())[0]\n", |
1254 | 1256 | "\n", |
1255 | | - "print(f\"\\n✅ Images uploaded: {img1_name}, {img2_name}\")" |
| 1257 | + "img2_path = os.path.join('/content', img2_name)\n", |
| 1258 | + "\n", |
| 1259 | + "print(f\" Image 2: {img2_path} (exists: {os.path.exists(img2_path)})\")\n", |
| 1260 | + "print(f\" Image 1: {img1_path} (exists: {os.path.exists(img1_path)})\")\n", |
| 1261 | + "print(f\"\\n✅ Images uploaded:\")" |
1256 | 1262 | ] |
1257 | 1263 | }, |
1258 | 1264 | { |
|
1264 | 1270 | "source": [ |
1265 | 1271 | "# Match your uploaded images\n", |
1266 | 1272 | "with torch.no_grad():\n", |
1267 | | - " data0 = load_and_preprocess_image(img1_name)\n", |
1268 | | - " data1 = load_and_preprocess_image(img2_name)\n", |
| 1273 | + " data0 = load_and_preprocess_image(img1_path)\n", |
| 1274 | + " data1 = load_and_preprocess_image(img2_path)\n", |
1269 | 1275 | " \n", |
1270 | 1276 | " batch = {\n", |
1271 | 1277 | " 'view0': {'image': data0['image']},\n", |
|
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