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biplet_dino_lightglue_colmap_gs_12_colab_ex13oo.ipynb
CHANGED
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biplet_dino_mast3r_ps3_gs_04_colab_ex14oo.ipynb
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@@ -51,7 +51,7 @@
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},
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"widgets": {
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"application/vnd.jupyter.widget-state+json": {
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-
"
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"model_module": "@jupyter-widgets/controls",
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"model_name": "HBoxModel",
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"model_module_version": "1.5.0",
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@@ -66,14 +66,14 @@
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"_view_name": "HBoxView",
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"box_style": "",
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"children": [
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-
"
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-
"
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-
"
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],
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-
"layout": "
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}
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},
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-
"
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"model_module": "@jupyter-widgets/controls",
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"model_name": "HTMLModel",
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"model_module_version": "1.5.0",
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@@ -88,13 +88,1039 @@
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"_view_name": "HTMLView",
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"description": "",
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"description_tooltip": null,
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-
"layout": "
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"placeholder": "",
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-
"style": "
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"value": "Loading weights: 100%"
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"base_uri": "https://localhost:8080/"
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@@ -779,7 +1805,6 @@
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"=== Setting up MASt3R ===\n",
|
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|
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" ✓ MASt3R import: OK\n",
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|
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"=== Setting up Gaussian Splatting ===\n",
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@@ -2172,7 +3199,7 @@
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" output_dir=OUTPUT_DIR,\n",
|
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" square_size=1024,\n",
|
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" iterations=3000,\n",
|
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|
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|
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|
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" )\n",
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@@ -2205,20 +3232,53 @@
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"base_uri": "https://localhost:8080/",
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|
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{
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@@ -2343,10 +3403,79 @@
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"\n",
|
| 2344 |
"=== Extracting DINO Global Features ===\n",
|
| 2345 |
"Initial memory state:\n",
|
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"GPU Memory - Allocated:
|
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{
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@@ -2373,8 +3502,8 @@
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| 2373 |
"name": "stdout",
|
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"text": [
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|
| 2376 |
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"GPU Memory - Allocated:
|
| 2377 |
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"CPU Memory Usage:
|
| 2378 |
"Initial pairs from DINO: 2041\n",
|
| 2379 |
"Selecting 1000 diverse pairs from 2041 candidates...\n",
|
| 2380 |
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|
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@@ -2389,8 +3518,22 @@
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|
| 2389 |
"\n",
|
| 2390 |
"=== Running MASt3R Reconstruction ===\n",
|
| 2391 |
"Initial memory state:\n",
|
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"GPU Memory - Allocated:
|
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|
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| 2599 |
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|
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|
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|
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|
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|
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" with torch.cuda.amp.autocast(enabled=False):\n",
|
| 2630 |
"/content/mast3r/dust3r/dust3r/inference.py:48: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.\n",
|
| 2631 |
" with torch.cuda.amp.autocast(enabled=False):\n",
|
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"├── \u001b[01;34mgaussian_splatting\u001b[0m\n",
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"\n",
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"=== Setting up Gaussian Splatting ===\n",
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"Cloning Gaussian Splatting repository...\n",
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"/usr/local/lib/python3.12/dist-packages/huggingface_hub/utils/_auth.py:94: UserWarning: \n",
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"To authenticate with the Hugging Face Hub, create a token in your settings tab (https://huggingface.co/settings/tokens), set it as secret in your Google Colab and restart your session.\n",
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"You will be able to reuse this secret in all of your notebooks.\n",
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"text": [
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"The image processor of type `BitImageProcessor` is now loaded as a fast processor by default, even if the model checkpoint was saved with a slow processor. This is a breaking change and may produce slightly different outputs. To continue using the slow processor, instantiate this class with `use_fast=False`. \n"
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"Warning: You are sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads.\n",
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"WARNING:huggingface_hub.utils._http:Warning: You are sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads.\n"
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"After DINO extraction:\n",
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"GPU Memory - Allocated: 0.02GB, Reserved: 0.03GB\n",
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"Initial pairs from DINO: 2041\n",
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"\n",
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"=== Running MASt3R Reconstruction ===\n",
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"/content/mast3r/dust3r/dust3r/cloud_opt/base_opt.py:275: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.\n",
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"/content/mast3r/dust3r/dust3r/inference.py:48: FutureWarning: `torch.cuda.amp.autocast(args...)` is deprecated. Please use `torch.amp.autocast('cuda', args...)` instead.\n",
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"✓ MASt3R inference complete\n",
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"GPU Memory - Allocated: 2.58GB, Reserved: 2.69GB\n",
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"Running global alignment...\n",
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"Computing global alignment...\n",
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" init edge (66*,74*) score=np.float64(51.351078033447266)\n",
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" 0%| | 0/150 [00:00<?, ?it/s]/content/mast3r/dust3r/dust3r/cloud_opt/base_opt.py:366: UserWarning: Converting a tensor with requires_grad=True to a scalar may lead to unexpected behavior.\n",
|
| 3997 |
+
"Consider using tensor.detach() first. (Triggered internally at /pytorch/torch/csrc/autograd/generated/python_variable_methods.cpp:836.)\n",
|
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" return float(loss), lr\n",
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"✓ Global alignment complete (final loss: 0.059044)\n",
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"GPU Memory - Allocated: 5.77GB, Reserved: 12.14GB\n",
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"CPU Memory Usage: 32.5%\n",
|
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"\n",
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| 4011 |
"======================================================================\n",
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"Step 4: COLMAP Conversion\n",
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"outputs": [
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{
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"├── \u001b[01;34mgaussian_splatting\u001b[0m\n",
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"│ ├── \u001b[00mcameras.json\u001b[0m\n",
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"│ ├── \u001b[00mexposure.json\u001b[0m\n",
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"│ ├── \u001b[01;34mimages\u001b[0m\n",
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"│ │ ├── \u001b[01;35mimage_0000.jpg\u001b[0m\n",
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" ├── \u001b[01;35mimage_200_bottom.jpeg\u001b[0m\n",
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" └── \u001b[01;35mimage_200_top.jpeg\u001b[0m\n",
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| 5394 |
"\n",
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"14 directories, 1213 files\n"
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"id": "W0Y_jaLoGpBd"
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"outputs": [],
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"execution_count": 10
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| 5410 |
}
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}
|