diff --git a/notebooks/explore-deepface.ipynb b/notebooks/explore-deepface.ipynb new file mode 100644 index 0000000..3697e6f --- /dev/null +++ b/notebooks/explore-deepface.ipynb @@ -0,0 +1,183 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "[autoreload of cv2.gapi failed: Traceback (most recent call last):\n", + " File \"c:\\Users\\mitch\\miniconda3\\envs\\garden\\lib\\site-packages\\IPython\\extensions\\autoreload.py\", line 276, in check\n", + " superreload(m, reload, self.old_objects)\n", + " File \"c:\\Users\\mitch\\miniconda3\\envs\\garden\\lib\\site-packages\\IPython\\extensions\\autoreload.py\", line 475, in superreload\n", + " module = reload(module)\n", + " File \"c:\\Users\\mitch\\miniconda3\\envs\\garden\\lib\\importlib\\__init__.py\", line 169, in reload\n", + " _bootstrap._exec(spec, module)\n", + " File \"\", line 619, in _exec\n", + " File \"\", line 883, in exec_module\n", + " File \"\", line 241, in _call_with_frames_removed\n", + " File \"c:\\Users\\mitch\\miniconda3\\envs\\garden\\lib\\site-packages\\cv2\\gapi\\__init__.py\", line 323, in \n", + " cv.gapi.wip.GStreamerPipeline = cv.gapi_wip_gst_GStreamerPipeline\n", + "AttributeError: module 'cv2.gapi' has no attribute 'wip'\n", + "]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The autoreload extension is already loaded. To reload it, use:\n", + " %reload_ext autoreload\n" + ] + } + ], + "source": [ + "%load_ext autoreload\n", + "%autoreload 2" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "ename": "ModuleNotFoundError", + "evalue": "No module named 'tensorflow'", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mModuleNotFoundError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[1;32mIn[4], line 2\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mcv2\u001b[39;00m\n\u001b[1;32m----> 2\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mdeepface\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m DeepFace\n", + "File \u001b[1;32mc:\\Users\\mitch\\miniconda3\\envs\\garden\\lib\\site-packages\\deepface\\DeepFace.py:15\u001b[0m\n\u001b[0;32m 13\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mnumpy\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m \u001b[38;5;21;01mnp\u001b[39;00m\n\u001b[0;32m 14\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mpandas\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m \u001b[38;5;21;01mpd\u001b[39;00m\n\u001b[1;32m---> 15\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mtensorflow\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m \u001b[38;5;21;01mtf\u001b[39;00m\n\u001b[0;32m 17\u001b[0m \u001b[38;5;66;03m# package dependencies\u001b[39;00m\n\u001b[0;32m 18\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mdeepface\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mcommons\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m package_utils, folder_utils\n", + "\u001b[1;31mModuleNotFoundError\u001b[0m: No module named 'tensorflow'" + ] + } + ], + "source": [ + "import cv2\n", + "from deepface import DeepFace" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "ENTER_ASCII = 13\n", + "\n", + "\n", + "def take_photo(photo_name):\n", + " capture = cv2.VideoCapture(0)\n", + " while True:\n", + " success, frame = capture.read()\n", + " if not success:\n", + " continue\n", + "\n", + " cv2.imshow(\"Camera Preview: Press enter to take photo\", frame)\n", + "\n", + " if cv2.waitKey(1) & 0xFF == ENTER_ASCII:\n", + " cv2.imwrite(photo_name, frame)\n", + "\n", + " break\n", + "\n", + " capture.release()\n", + " cv2.destroyAllWindows()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Take two photos. Press enter to confirm photo.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "take_photo(\"photo1.png\")\n", + "take_photo(\"photo2.png\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Verify that photos are of same person.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'verified': True,\n", + " 'distance': 0.21787509303712116,\n", + " 'threshold': 0.65,\n", + " 'model': 'GhostFaceNet',\n", + " 'detector_backend': 'opencv',\n", + " 'similarity_metric': 'cosine',\n", + " 'facial_areas': {'img1': {'x': 284,\n", + " 'y': 117,\n", + " 'w': 195,\n", + " 'h': 195,\n", + " 'left_eye': (422, 195),\n", + " 'right_eye': (346, 191)},\n", + " 'img2': {'x': 282,\n", + " 'y': 120,\n", + " 'w': 189,\n", + " 'h': 189,\n", + " 'left_eye': (421, 197),\n", + " 'right_eye': (346, 191)}},\n", + " 'time': 0.9}" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "DeepFace.verify(\"photo1.png\", \"photo2.png\", model_name=\"GhostFaceNet\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "deco3801", + "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": "3.10.14" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/poetry.lock b/poetry.lock index b6b77c1..875baeb 100644 --- a/poetry.lock +++ b/poetry.lock @@ -73,6 +73,21 @@ six = ">=1.12.0" astroid = ["astroid (>=1,<2)", "astroid (>=2,<4)"] test = ["astroid (>=1,<2)", "astroid (>=2,<4)", "pytest"] +[[package]] +name = "astunparse" 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