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{ | ||
"cells": [ | ||
{ | ||
"cell_type": "markdown", | ||
"id": "880ce57b-d488-48f0-93ea-8c00d11c4cf7", | ||
"metadata": {}, | ||
"source": [ | ||
"## Install Requried Dependencies" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 3, | ||
"id": "c1c2746d-00d1-4a32-8a2c-2ed703177460", | ||
"metadata": {}, | ||
"outputs": [ | ||
{ | ||
"name": "stdout", | ||
"output_type": "stream", | ||
"text": [ | ||
"CPU times: user 36.2 ms, sys: 34.8 ms, total: 71 ms\n", | ||
"Wall time: 5.96 s\n" | ||
] | ||
} | ||
], | ||
"source": [ | ||
"%%time\n", | ||
"%%capture\n", | ||
"# install feluda and the requried operators\n", | ||
"!uv pip install feluda\n", | ||
"!uv pip install feluda-vid-vec-rep-clip\n", | ||
"!uv pip install feluda-dimension-reduction\n", | ||
"\n", | ||
"# install other packages\n", | ||
"!uv pip install huggingface-hub\n", | ||
"!uv pip install matplotlib" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 5, | ||
"id": "41d7b1c6-157e-4c28-b362-2119779c7909", | ||
"metadata": {}, | ||
"outputs": [ | ||
{ | ||
"ename": "ModuleNotFoundError", | ||
"evalue": "No module named 'cv2'", | ||
"output_type": "error", | ||
"traceback": [ | ||
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", | ||
"\u001b[0;31mModuleNotFoundError\u001b[0m Traceback (most recent call last)", | ||
"Cell \u001b[0;32mIn[5], line 5\u001b[0m\n\u001b[1;32m 2\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21;01mfeluda\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mmodels\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mmedia_factory\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;28;01mimport\u001b[39;00m VideoFactory\n\u001b[1;32m 4\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21;01mhuggingface_hub\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;28;01mimport\u001b[39;00m hf_hub_download\n\u001b[0;32m----> 5\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21;01mcv2\u001b[39;00m\n\u001b[1;32m 6\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21;01mtarfile\u001b[39;00m\n\u001b[1;32m 7\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21;01mmatplotlib\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mpyplot\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;28;01mas\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21;01mplt\u001b[39;00m\n", | ||
"\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'cv2'" | ||
] | ||
} | ||
], | ||
"source": [ | ||
"from feluda import Feluda\n", | ||
"from feluda.models.media_factory import VideoFactory\n", | ||
"\n", | ||
"from huggingface_hub import hf_hub_download\n", | ||
"import cv2\n", | ||
"import tarfile\n", | ||
"import matplotlib.pyplot as plt\n", | ||
"from matplotlib.offsetbox import OffsetImage, AnnotationBbox" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"id": "34312b7c-9879-4040-9f13-1f780a09d802", | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [] | ||
} | ||
], | ||
"metadata": { | ||
"kernelspec": { | ||
"display_name": "Python 3 (ipykernel)", | ||
"language": "python", | ||
"name": "python3" | ||
}, | ||
"language_info": { | ||
"codemirror_mode": { | ||
"name": "ipython", | ||
"version": 3 | ||
}, | ||
"file_extension": ".py", | ||
"mimetype": "text/x-python", | ||
"name": "python", | ||
"nbconvert_exporter": "python", | ||
"pygments_lexer": "ipython3", | ||
"version": "3.10.12" | ||
} | ||
}, | ||
"nbformat": 4, | ||
"nbformat_minor": 5 | ||
} |
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operators: | ||
label: "Operators" | ||
parameters: | ||
- name: "Dimension Reduction" | ||
type: "dimension_reduction" | ||
parameters: { index_name: "video" } | ||
- name: "Video Vector Representation" | ||
type: "vid_vec_rep_clip" | ||
parameters: { index_name: "video" } |