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sizhky · Aug 24, 2024 · 72e85c2 · 72e85c2
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commit 72e85c2
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Showing 98 changed files with 23,423 additions and 7,738 deletions.
diff --git a/Makefile b/Makefile
@@ -33,3 +33,8 @@ dist: clean
 
 clean:
 	rm -rf dist
+
+profile-time:
+	kernprof -l torch_snippets/__module_timing__.py
+	mkdir -p debug
+	python -m line_profiler -tm "__module_timing__.py.lprof" | tee debug/profile_time.txt
diff --git a/__module_timing__.py.lprof b/__module_timing__.py.lprof
diff --git a/_proc/AttrDict.ipynb b/_proc/AttrDict.ipynb
@@ -350,6 +350,13 @@
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
    "version": "3.10.14"
+  },
+  "widgets": {
+   "application/vnd.jupyter.widget-state+json": {
+    "state": {},
+    "version_major": 2,
+    "version_minor": 0
+   }
   }
  },
  "nbformat": 4,

diff --git a/_proc/adapters.ipynb b/_proc/adapters.ipynb
@@ -366,6 +366,74 @@
     "show_doc(csvs_2_cvat)"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "has_sd": true,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/markdown": [
+       "---\n",
+       "\n",
+       "### yolo_2_df\n",
+       "\n",
+       ">      yolo_2_df (yolo, h, w, id2class, class_column)"
+      ],
+      "text/plain": [
+       "---\n",
+       "\n",
+       "### yolo_2_df\n",
+       "\n",
+       ">      yolo_2_df (yolo, h, w, id2class, class_column)"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#| echo: false\n",
+    "#| output: asis\n",
+    "show_doc(yolo_2_df)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "has_sd": true,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/markdown": [
+       "---\n",
+       "\n",
+       "### df_2_yolo\n",
+       "\n",
+       ">      df_2_yolo (df, h, w, class2id, class_column)"
+      ],
+      "text/plain": [
+       "---\n",
+       "\n",
+       "### df_2_yolo\n",
+       "\n",
+       ">      df_2_yolo (df, h, w, class2id, class_column)"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#| echo: false\n",
+    "#| output: asis\n",
+    "show_doc(df_2_yolo)"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -399,6 +467,13 @@
    "interpreter": {
     "hash": "6b6ea07c3428539b6f2e73b58ccfbe441e6932da93cb0b63ea798c577834408a"
    }
+  },
+  "widgets": {
+   "application/vnd.jupyter.widget-state+json": {
+    "state": {},
+    "version_major": 2,
+    "version_minor": 0
+   }
   }
  },
  "nbformat": 4,

diff --git a/_proc/bokeh_plotting.ipynb b/_proc/bokeh_plotting.ipynb
@@ -0,0 +1,62 @@
+{
+ "cells": [
+  {
+   "cell_type": "raw",
+   "metadata": {},
+   "source": [
+    "---\n",
+    "description: For rapid prototyping bokeh charts\n",
+    "output-file: bokeh_plotting.html\n",
+    "title: Bokeh Plots\n",
+    "\n",
+    "---\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<!-- WARNING: THIS FILE WAS AUTOGENERATED! DO NOT EDIT! -->"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "language": "python"
+   },
+   "outputs": [],
+   "source": [
+    "bplot = get_bplot()\n",
+    "bplot.line(np.arange(100), np.cumsum(np.random.uniform(size=100)))\n",
+    "bshow(bplot)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "language": "python"
+   },
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "mdm",
+   "language": "python",
+   "name": "mdm"
+  },
+  "widgets": {
+   "application/vnd.jupyter.widget-state+json": {
+    "state": {},
+    "version_major": 2,
+    "version_minor": 0
+   }
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/_proc/bounding_boxes.ipynb b/_proc/bounding_boxes.ipynb
@@ -94,16 +94,7 @@
    "metadata": {
     "language": "python"
    },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\u001b[2;36m[08/23/24 18:12:57]\u001b[0m\u001b[2;36m \u001b[0m\u001b[2;31mWARNING \u001b[0m Unable to load torch and dependent libraries from torch-snippets.                                                        \u001b]8;id=185334;file:///Users/yeshwanth/Code/Personal/torch_snippets/torch_snippets/loader.py:108\u001b\\\u001b[2mloader.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=169396;file:///Users/yeshwanth/Code/Personal/torch_snippets/torch_snippets/loader.py:108#<module>:108\u001b\\\u001b[2m<module>:108\u001b[0m\u001b]8;;\u001b\\\n",
-      "\u001b[2;36m                    \u001b[0m         Functionalities might be limited. pip install lovely-tensors in case there are torch related errors                      \u001b[2m                      \u001b[0m\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "from torch_snippets import show, read, P, pd"
    ]
@@ -654,6 +645,13 @@
    "interpreter": {
     "hash": "0a92af74ccf65e106ae96852a45a9b0a5e11a3c414a16fc8bb2d134868e55bfd"
    }
+  },
+  "widgets": {
+   "application/vnd.jupyter.widget-state+json": {
+    "state": {},
+    "version_major": 2,
+    "version_minor": 0
+   }
   }
  },
  "nbformat": 4,