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Merged
rolandocortez merged 13 commits into from
Jun 22, 2026
Merged

Update tutorial dependencies and conversion notebooks #93

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697f11d
Fix PyTorch conversion notebook execution and update dependencies
Jun 11, 2026
32e5092
Update NVIDIA TAO conversion notebook dependencies
Jun 12, 2026
d7b133b
Fix ONNX conversion notebook execution and update dependencies
Jun 12, 2026
173d0e9
Bump training tutorial dependency pins
Jun 12, 2026
3240b07
Bump depthai-nodes to 0.5.1
Jun 12, 2026
5121955
Fix PyTorch conversion notebook artifact paths
Jun 12, 2026
14e0ed5
Address notebook review comments
Jun 12, 2026
f05a5cb
Pin setuptools for TensorBoard compatibility
Jun 15, 2026
c4cba75
Bump Luxonis tutorial package versions
Jun 18, 2026
35f3899
Merge latest main into tutorial dependency bump
Jun 18, 2026
9f4483b
Remove obsolete ImgDetectionsBridge usage
Jun 19, 2026
4ed943a
Update tutorial conversion and runtime cells
Jun 19, 2026
3a5cc53
Remove duplicate DepthAI code from instance segmentation tutorial
Jun 22, 2026
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40 changes: 29 additions & 11 deletions conversion/nvidia_tao_conversion.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -99,7 +99,7 @@
},
{
"cell_type": "code",
"execution_count": 2,
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
Expand Down Expand Up @@ -145,9 +145,8 @@
"metadata": {},
"outputs": [],
"source": [
"%pip install -q pillow onnx onnxruntime modelconv==0.4.5 -U\n",
"%pip install -q depthai==3.0.0 -U\n",
"%pip install -q depthai-nodes==0.3.0 -U"
"%pip install -q pillow luxonis-ml==0.8.6 onnx==1.21.0 onnxruntime==1.23.2 modelconv==0.5.5 depthai==3.7.1 depthai-nodes==0.5.1\n",
"%pip install -q numpy==2.0.2"
]
},
{
Expand Down Expand Up @@ -243,10 +242,10 @@
}
],
"source": [
"import os\n",
"import onnxruntime as ort\n",
"import numpy as np\n",
"import cv2\n",
"from scipy.spatial.distance import cosine\n",
"import matplotlib.pyplot as plt\n",
"\n",
"# Load ONNX model\n",
Expand Down Expand Up @@ -285,8 +284,15 @@
" embeddings[img_path] = normalize_embedding(output.flatten()) # Flatten to 1D vector\n",
"\n",
"# Compute cosine similarity between pairs\n",
"def cosine_similarity(emb1, emb2):\n",
" return 1 - cosine(emb1, emb2) # Higher value = more similar\n",
"def cosine_similarity(emb1, emb2, eps=1e-12):\n",
" emb1 = np.asarray(emb1, dtype=np.float32).ravel()\n",
" emb2 = np.asarray(emb2, dtype=np.float32).ravel()\n",
"\n",
" denom = np.linalg.norm(emb1) * np.linalg.norm(emb2)\n",
" if denom < eps:\n",
" return 0.0\n",
"\n",
" return float(np.dot(emb1, emb2) / denom)\n",
"\n",
"pairs = [\n",
" (\"person_0_0.png\", \"person_0_1.png\"), # Same person\n",
Expand Down Expand Up @@ -442,7 +448,7 @@
"metadata": {},
"outputs": [],
"source": [
"%pip install -q hubai-sdk"
"%pip install -q -U hubai-sdk"
]
},
{
Expand All @@ -458,7 +464,13 @@
"metadata": {},
"outputs": [],
"source": [
"HUBAI_API_KEY = \"<YOUR_HUBAI_API_KEY>\""
"import os\n",
"import getpass\n",
"\n",
"if not os.environ.get(\"HUBAI_API_KEY\"):\n",
" os.environ[\"HUBAI_API_KEY\"] = getpass.getpass(\"Enter your HubAI API key: \")\n",
"\n",
"print(\"HUBAI_API_KEY is set:\", bool(os.environ.get(\"HUBAI_API_KEY\")))"
]
},
{
Expand All @@ -467,19 +479,25 @@
"metadata": {},
"outputs": [],
"source": [
"from pathlib import Path\n",
"from hubai_sdk import HubAIClient\n",
"\n",
"client = HubAIClient(api_key=HUBAI_API_KEY)\n",
"client = HubAIClient(api_key=os.environ[\"HUBAI_API_KEY\"])\n",
"\n",
"ARTIFACT_DIR = Path(\"reidentification-nvidia-tao-exported-to-rvc4\")\n",
"ARTIFACT_DIR.mkdir(parents=True, exist_ok=True)\n",
"\n",
"response = client.convert.RVC4(\n",
" path=\"resnet50_market1501_aicity156.tar.xz\",\n",
" name=\"ReIdentification NVIDIA TAO\",\n",
" description_short=\"ReIdentificationNet takes cropped images of a person from different perspectives as network input and outputs the embedding features for that person.\",\n",
" license_type=\"MIT\",\n",
" is_public=False,\n",
" output_dir=str(ARTIFACT_DIR),\n",
")\n",
"\n",
"model_path = response.downloaded_path\n",
"MODEL_PATH = Path(response.downloaded_path)\n",
"print(\"Model artifact:\", MODEL_PATH)\n",
"\n",
"# =============================================================================\n",
"# RVC4 conversion\n",
Expand Down
289 changes: 200 additions & 89 deletions conversion/onnx_conversion.ipynb
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