├── README.md
└── YoloWorld_EfficientSAM_gradio_jupyter.ipynb


/README.md:
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 1 | 🐣 Please follow me for new updates https://twitter.com/camenduru <br />
 2 | 🔥 Please join our discord server https://discord.gg/k5BwmmvJJU <br />
 3 | 🥳 Please join my patreon community https://patreon.com/camenduru <br />
 4 | 
 5 | ### 🍊 Jupyter Notebook
 6 | 
 7 | | Colab | Info
 8 | | --- | --- |
 9 | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/camenduru/YoloWorld-EfficientSAM-jupyter/blob/main/YoloWorld_EfficientSAM_gradio_jupyter.ipynb) | YoloWorld_EfficientSAM_gradio_jupyter
10 | 
11 | ### 🧬 Code
12 | https://github.com/AILab-CVC/YOLO-World <br />
13 | https://github.com/yformer/EfficientSAM <br />
14 | https://huggingface.co/spaces/SkalskiP/YOLO-World/tree/main <br />
15 | 
16 | ### 📄 Paper
17 | https://arxiv.org/abs/2401.17270 <br />
18 | https://arxiv.org/abs/2312.00863 <br />
19 | 
20 | ### 🌐 Page
21 | https://www.yoloworld.cc/ <br />
22 | https://yformer.github.io/efficient-sam/ <br />
23 | 
24 | ### 🖼 Output
25 | 
26 | https://github.com/camenduru/YoloWorld-EfficientSAM-jupyter/assets/54370274/ba2ebfdd-9506-4af2-8248-aa7e578b5b61
27 | 
28 | ### 🏢 Sponsor
29 | https://replicate.com
30 | 


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/YoloWorld_EfficientSAM_gradio_jupyter.ipynb:
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 1 | {
 2 |   "cells": [
 3 |     {
 4 |       "cell_type": "markdown",
 5 |       "metadata": {
 6 |         "id": "view-in-github"
 7 |       },
 8 |       "source": [
 9 |         "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/camenduru/YoloWorld-EfficientSAM-jupyter/blob/main/YoloWorld_EfficientSAM_gradio_jupyter.ipynb)"
10 |       ]
11 |     },
12 |     {
13 |       "cell_type": "code",
14 |       "execution_count": null,
15 |       "metadata": {
16 |         "id": "VjYy0F2gZIPR"
17 |       },
18 |       "outputs": [],
19 |       "source": [
20 |         "%cd /content\n",
21 |         "!git clone -b dev https://github.com/camenduru/YoloWorld-EfficientSAM-hf\n",
22 |         "%cd /content/YoloWorld-EfficientSAM-hf\n",
23 |         "\n",
24 |         "!pip install inference-gpu[yolo-world]==0.9.13 supervision==0.19.0rc3 gradio==4.19.0\n",
25 |         "\n",
26 |         "!apt -y install -qq aria2\n",
27 |         "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/camenduru/YoloWorld-EfficientSAM/resolve/main/efficient_sam_s_cpu.jit -d /content/YoloWorld-EfficientSAM-hf -o efficient_sam_s_cpu.jit\n",
28 |         "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/camenduru/YoloWorld-EfficientSAM/resolve/main/efficient_sam_s_gpu.jit -d /content/YoloWorld-EfficientSAM-hf -o efficient_sam_s_gpu.jit\n",
29 |         "\n",
30 |         "!python app.py"
31 |       ]
32 |     }
33 |   ],
34 |   "metadata": {
35 |     "accelerator": "GPU",
36 |     "colab": {
37 |       "gpuType": "T4",
38 |       "provenance": []
39 |     },
40 |     "kernelspec": {
41 |       "display_name": "Python 3",
42 |       "name": "python3"
43 |     },
44 |     "language_info": {
45 |       "name": "python"
46 |     }
47 |   },
48 |   "nbformat": 4,
49 |   "nbformat_minor": 0
50 | }
51 | 


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