Update

README.md

@@ -1,6 +1,7 @@
 # A demo program of gaze estimation models (MPIIGaze, MPIIFaceGaze, ETH-XGaze)
 
 [![PyPI version](https://badge.fury.io/py/ptgaze.svg)](https://pypi.org/project/ptgaze/)
+[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/hysts/pytorch_mpiigaze_demo/blob/master/demo.ipynb)
 
 With this program, you can run gaze estimation on images and videos.
 By default, the video from a webcam will be used.

demo.ipynb

@@ -0,0 +1,111 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "07236d7c",
+   "metadata": {
+    "ExecuteTime": {
+     "start_time": "2021-10-21T09:52:57.162Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "!git clone -q https://github.com/hysts/pytorch_mpiigaze_demo\n",
+    "!cd pytorch_mpiigaze_demo && python setup.py install\n",
+    "!pip install -U pyyaml"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a7f04682",
+   "metadata": {
+    "ExecuteTime": {
+     "start_time": "2021-10-21T09:53:05.033Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "!ptgaze --mode eth-xgaze --video pytorch_mpiigaze_demo/assets/inputs/video01.mp4 --o . --no-screen"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "af873e50",
+   "metadata": {
+    "ExecuteTime": {
+     "start_time": "2021-10-21T09:53:12.015Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "!ffmpeg -i video01.avi -c:v libx264 out.mp4"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ead94a63",
+   "metadata": {
+    "ExecuteTime": {
+     "start_time": "2021-10-21T09:53:24.304Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "from IPython.display import HTML\n",
+    "from base64 import b64encode\n",
+    "\n",
+    "HTML(f\"\"\"\n",
+    "<video height=400 controls>\n",
+    "  <source src=\"data:video/mp4;base64,{b64encode(open('out.mp4','rb').read()).decode()}\" type=\"video/mp4\">\n",
+    "</video>\n",
+    "\"\"\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4cd9b150",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "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": "3.9.5"
+  },
+  "toc": {
+   "base_numbering": 1,
+   "nav_menu": {},
+   "number_sections": true,
+   "sideBar": true,
+   "skip_h1_title": false,
+   "title_cell": "Table of Contents",
+   "title_sidebar": "Contents",
+   "toc_cell": false,
+   "toc_position": {},
+   "toc_section_display": true,
+   "toc_window_display": false
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

setup.py

@@ -18,7 +18,7 @@ def _get_requirements(path):
 
 setup(
     name='ptgaze',
-    version='0.2.3',
+    version='0.2.4',
     author='hysts',
     url='https://github.com/hysts/pytorch_mpiigaze_demo',
     python_requires='>=3.7',