Deploying to gh-pages from @ 164b78b 🚀

dev/nudenet/.buildinfo

@@ -0,0 +1,4 @@
+# Sphinx build info version 1
+# This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
+config: 1a86d7f3228bcf5d602d256ab7d5ae6e
+tags: 645f666f9bcd5a90fca523b33c5a78b7

dev/nudenet/.doctrees/nbsphinx/information/environment.ipynb

@@ -0,0 +1,114 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%% md\n"
+    }
+   },
+   "source": [
+    "# Run Environment Information"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%% md\n"
+    }
+   },
+   "source": [
+    "Here is the information from the running environment."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-09-11T07:40:51.457703Z",
+     "iopub.status.busy": "2024-09-11T07:40:51.457493Z",
+     "iopub.status.idle": "2024-09-11T07:40:52.625952Z",
+     "shell.execute_reply": "2024-09-11T07:40:52.625104Z"
+    },
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "OS: Linux-6.5.0-1025-azure-x86_64-with-glibc2.34\n",
+      "Python: CPython 3.8.18\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "CPU Brand: AMD EPYC 7763 64-Core Processor\n",
+      "CPU Count: 4\n",
+      "CPU Freq: 2703.55625 MHz\n",
+      "Memory Size: 15.606 GiB\n",
+      "Has CUDA: No\n"
+     ]
+    }
+   ],
+   "source": [
+    "import os\n",
+    "import platform\n",
+    "import shutil\n",
+    "\n",
+    "import cpuinfo\n",
+    "import psutil\n",
+    "from hbutils.scale import size_to_bytes_str\n",
+    "\n",
+    "print('OS:', platform.platform())\n",
+    "print('Python:', platform.python_implementation(), platform.python_version())\n",
+    "print('CPU Brand:', cpuinfo.get_cpu_info()[\"brand_raw\"])\n",
+    "print('CPU Count:', os.cpu_count())\n",
+    "print('CPU Freq:', psutil.cpu_freq().current, 'MHz')\n",
+    "print('Memory Size:', size_to_bytes_str(psutil.virtual_memory().total, precision=3))\n",
+    "print('Has CUDA:', 'Yes' if shutil.which('nvidia-smi') else 'No')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%% md\n"
+    }
+   },
+   "source": [
+    "Please note that, this information in deployed documentation is automatically executed on Github Action. Therefore, some performance data may be different with your local environment"
+   ]
+  }
+ ],
+ "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": "3.8.18"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 0
+}

dev/nudenet/.doctrees/nbsphinx/information/environment.result.ipynb

@@ -0,0 +1,114 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%% md\n"
+    }
+   },
+   "source": [
+    "# Run Environment Information"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%% md\n"
+    }
+   },
+   "source": [
+    "Here is the information from the running environment."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-09-11T07:38:40.162609Z",
+     "iopub.status.busy": "2024-09-11T07:38:40.162402Z",
+     "iopub.status.idle": "2024-09-11T07:38:41.337563Z",
+     "shell.execute_reply": "2024-09-11T07:38:41.336682Z"
+    },
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "OS: Linux-6.5.0-1025-azure-x86_64-with-glibc2.34\n",
+      "Python: CPython 3.8.18\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "CPU Brand: AMD EPYC 7763 64-Core Processor\n",
+      "CPU Count: 4\n",
+      "CPU Freq: 2916.7935 MHz\n",
+      "Memory Size: 15.606 GiB\n",
+      "Has CUDA: No\n"
+     ]
+    }
+   ],
+   "source": [
+    "import os\n",
+    "import platform\n",
+    "import shutil\n",
+    "\n",
+    "import cpuinfo\n",
+    "import psutil\n",
+    "from hbutils.scale import size_to_bytes_str\n",
+    "\n",
+    "print('OS:', platform.platform())\n",
+    "print('Python:', platform.python_implementation(), platform.python_version())\n",
+    "print('CPU Brand:', cpuinfo.get_cpu_info()[\"brand_raw\"])\n",
+    "print('CPU Count:', os.cpu_count())\n",
+    "print('CPU Freq:', psutil.cpu_freq().current, 'MHz')\n",
+    "print('Memory Size:', size_to_bytes_str(psutil.virtual_memory().total, precision=3))\n",
+    "print('Has CUDA:', 'Yes' if shutil.which('nvidia-smi') else 'No')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%% md\n"
+    }
+   },
+   "source": [
+    "Please note that, this information in deployed documentation is automatically executed on Github Action. Therefore, some performance data may be different with your local environment"
+   ]
+  }
+ ],
+ "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": "3.8.18"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 0
+}