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Use !uv pip install in Jupyter notebooks #73

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441 changes: 220 additions & 221 deletions notebooks/how-to-count-the-objects-using-ultralytics-yolo.ipynb
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1,026 changes: 513 additions & 513 deletions ...books/how-to-export-the-validation-results-into-dataframe-csv-sql-and-other-formats.ipynb
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3 changes: 1 addition & 2 deletions notebooks/how-to-generate-heatmaps-using-ultralytics-yolo.ipynb
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Expand Up @@ -78,7 +78,7 @@
}
],
"source": [
"!pip install ultralytics\n",
"!uv pip install ultralytics\n",
"\n",
"import cv2\n",
"import ultralytics\n",
Expand Down Expand Up @@ -109,7 +109,6 @@
"source": [
"safe_download(\"https://github.com/ultralytics/notebooks/releases/download/v0.0.0/solutions-ci-demo.mp4\")\n",
"cap = cv2.VideoCapture(\"solutions-ci-demo.mp4\")\n",

"assert cap.isOpened(), \"Error reading video file\"\n",
"w, h, fps = (int(cap.get(x)) for x in (cv2.CAP_PROP_FRAME_WIDTH, cv2.CAP_PROP_FRAME_HEIGHT, cv2.CAP_PROP_FPS))\n",
"\n",
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5,464 changes: 2,732 additions & 2,732 deletions notebooks/how-to-monitor-objects-in-queue-using-queue-management-solution.ipynb
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2 changes: 1 addition & 1 deletion notebooks/how-to-monitor-workouts-using-ultralytics-yolo.ipynb
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Expand Up @@ -80,7 +80,7 @@
}
],
"source": [
"!pip install ultralytics\n",
"!uv pip install ultralytics\n",
"\n",
"import cv2\n",
"import ultralytics\n",
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439 changes: 219 additions & 220 deletions notebooks/how-to-track-the-objects-in-zone-using-ultralytics-yolo.ipynb
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1,700 changes: 850 additions & 850 deletions notebooks/how-to-train-ultralytics-yolo-on-brain-tumor-detection-dataset.ipynb
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1,450 changes: 725 additions & 725 deletions notebooks/how-to-train-ultralytics-yolo-on-carparts-segmentation-dataset.ipynb
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1,146 changes: 573 additions & 573 deletions notebooks/how-to-train-ultralytics-yolo-on-crack-segmentation-dataset.ipynb
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1,336 changes: 668 additions & 668 deletions notebooks/how-to-train-ultralytics-yolo-on-homeobjects-dataset.ipynb
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2,284 changes: 1,142 additions & 1,142 deletions notebooks/how-to-train-ultralytics-yolo-on-medical-pills-dataset.ipynb
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1,666 changes: 833 additions & 833 deletions notebooks/how-to-train-ultralytics-yolo-on-package-segmentation-dataset.ipynb
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2 changes: 1 addition & 1 deletion ...ks/how-to-use-florence-2-for-object-detection-image-captioning-ocr-and-segmentation.ipynb
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Expand Up @@ -78,7 +78,7 @@
}
],
"source": [
"!pip install transformers==4.49.0 ultralytics\n",
"!uv pip install transformers==4.49.0 ultralytics\n",
"\n",
"import cv2\n",
"import numpy as np\n",
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26 changes: 13 additions & 13 deletions ...books/how-to-use-google-gemini-models-for-object-detection-image-captioning-and-ocr.ipynb
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"name": "stdout",
"output_type": "stream",
"text": [
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m949.8/949.8 kB\u001b[0m \u001b[31m12.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m363.4/363.4 MB\u001b[0m \u001b[31m2.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m13.8/13.8 MB\u001b[0m \u001b[31m29.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m24.6/24.6 MB\u001b[0m \u001b[31m28.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m883.7/883.7 kB\u001b[0m \u001b[31m18.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m664.8/664.8 MB\u001b[0m \u001b[31m1.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m211.5/211.5 MB\u001b[0m \u001b[31m5.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m56.3/56.3 MB\u001b[0m \u001b[31m11.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m127.9/127.9 MB\u001b[0m \u001b[31m8.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m207.5/207.5 MB\u001b[0m \u001b[31m6.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m21.1/21.1 MB\u001b[0m \u001b[31m80.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25hCreating new Ultralytics Settings v0.0.6 file ✅ \n",
"\u001B[2K \u001B[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001B[0m \u001B[32m949.8/949.8 kB\u001B[0m \u001B[31m12.4 MB/s\u001B[0m eta \u001B[36m0:00:00\u001B[0m\n",
"\u001B[2K \u001B[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001B[0m \u001B[32m363.4/363.4 MB\u001B[0m \u001B[31m2.8 MB/s\u001B[0m eta \u001B[36m0:00:00\u001B[0m\n",
"\u001B[2K \u001B[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001B[0m \u001B[32m13.8/13.8 MB\u001B[0m \u001B[31m29.0 MB/s\u001B[0m eta \u001B[36m0:00:00\u001B[0m\n",
"\u001B[2K \u001B[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001B[0m \u001B[32m24.6/24.6 MB\u001B[0m \u001B[31m28.7 MB/s\u001B[0m eta \u001B[36m0:00:00\u001B[0m\n",
"\u001B[2K \u001B[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001B[0m \u001B[32m883.7/883.7 kB\u001B[0m \u001B[31m18.6 MB/s\u001B[0m eta \u001B[36m0:00:00\u001B[0m\n",
"\u001B[2K \u001B[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001B[0m \u001B[32m664.8/664.8 MB\u001B[0m \u001B[31m1.1 MB/s\u001B[0m eta \u001B[36m0:00:00\u001B[0m\n",
"\u001B[2K \u001B[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001B[0m \u001B[32m211.5/211.5 MB\u001B[0m \u001B[31m5.7 MB/s\u001B[0m eta \u001B[36m0:00:00\u001B[0m\n",
"\u001B[2K \u001B[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001B[0m \u001B[32m56.3/56.3 MB\u001B[0m \u001B[31m11.2 MB/s\u001B[0m eta \u001B[36m0:00:00\u001B[0m\n",
"\u001B[2K \u001B[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001B[0m \u001B[32m127.9/127.9 MB\u001B[0m \u001B[31m8.0 MB/s\u001B[0m eta \u001B[36m0:00:00\u001B[0m\n",
"\u001B[2K \u001B[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001B[0m \u001B[32m207.5/207.5 MB\u001B[0m \u001B[31m6.3 MB/s\u001B[0m eta \u001B[36m0:00:00\u001B[0m\n",
"\u001B[2K \u001B[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001B[0m \u001B[32m21.1/21.1 MB\u001B[0m \u001B[31m80.4 MB/s\u001B[0m eta \u001B[36m0:00:00\u001B[0m\n",
"\u001B[?25hCreating new Ultralytics Settings v0.0.6 file ✅ \n",
"View Ultralytics Settings with 'yolo settings' or at '/root/.config/Ultralytics/settings.json'\n",
"Update Settings with 'yolo settings key=value', i.e. 'yolo settings runs_dir=path/to/dir'. For help see https://docs.ultralytics.com/quickstart/#ultralytics-settings.\n"
]
}
],
"source": [
"!pip install -U -q google-genai ultralytics\n",
"!uv pip install -U -q google-genai ultralytics\n",
"\n",
"import json\n",
"\n",
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2 changes: 1 addition & 1 deletion notebooks/how-to-use-ultralytics-yolo-with-openai-for-number-plate-recognition.ipynb
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Expand Up @@ -79,7 +79,7 @@
}
],
"source": [
"!pip install ultralytics\n",
"!uv pip install ultralytics\n",
"\n",
"import base64\n",
"\n",
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