From 3c6919d2c6c8719cb587198e9d6da0e4acb43ede Mon Sep 17 00:00:00 2001 From: slashtechno <77907286+slashtechno@users.noreply.github.com> Date: Fri, 13 Oct 2023 20:51:16 -0500 Subject: [PATCH] Create Deepface Jupyter Notebook --- .gitignore | 6 +- deepface-test.ipynb | 93 +++ faces/.gitkeep | 0 poetry.lock | 1365 +++++++++++++++++++++++++++++++++++++++---- pyproject.toml | 38 +- 5 files changed, 1344 insertions(+), 158 deletions(-) create mode 100644 deepface-test.ipynb create mode 100644 faces/.gitkeep diff --git a/.gitignore b/.gitignore index 5af6d2c..ecd8ab9 100644 --- a/.gitignore +++ b/.gitignore @@ -2,5 +2,7 @@ config/ using_yolov8.ipynb yolov8n.pt - -__pycache__/ \ No newline at end of file +.venv/ +__pycache__/ +faces/* +!faces/.gitkeep \ No newline at end of file diff --git a/deepface-test.ipynb b/deepface-test.ipynb new file mode 100644 index 0000000..a1aff6f --- /dev/null +++ b/deepface-test.ipynb @@ -0,0 +1,93 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "from deepface import DeepFace\n", + "import cv2\n", + "from pathlib import Path\n", + "import uuid\n", + "import pandas as pd" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Take pictures" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Take a picture using opencv with .jpg\n", + "# Then delete it after\n", + "cap = cv2.VideoCapture(0)\n", + "ret, frame = cap.read()\n", + "cap.release()\n", + "uuid_str = str(uuid.uuid4())\n", + "uuid_path = Path(uuid_str + \".jpg\")\n", + "cv2.imwrite(str(uuid_path), frame)\n", + "dfs = DeepFace.find(img_path=str(uuid_path), db_path = \"faces\")\n", + "\n", + "# Get the identity of the person\n", + "for i, pd_dataframe in enumerate(dfs):\n", + " # Sort the dataframe by confidence\n", + " # inplace=True means that the dataframe is modified so we don't need to assign it to a new variable\n", + " pd_dataframe.sort_values(by=['VGG-Face_cosine'], inplace=True, ascending=False)\n", + " print(f'On dataframe {i}')\n", + " print(pd_dataframe)\n", + " # Get the most likely identity\n", + " # We could use Path to get the parent directory of the image to use as the identity\n", + " print(f'Most likely identity: {pd_dataframe.iloc[0][\"identity\"]}')\n", + " # Get the most likely identity's confidence\n", + " print(f'Confidence: {pd_dataframe.iloc[0][\"VGG-Face_cosine\"]}')\n", + "\n", + "uuid_path.unlink()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Stream" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "DeepFace.stream(db_path=\"faces\")" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": ".venv", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + 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