Create Deepface Jupyter Notebook

.gitignore

@@ -2,5 +2,7 @@
 config/
 using_yolov8.ipynb
 yolov8n.pt
-
+.venv/
 __pycache__/
+faces/*
+!faces/.gitkeep

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 <uuid>.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",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

pyproject.toml

@@ -8,51 +8,29 @@ readme = "README.md"
 packages = [{include = "set-detect-notify"}]
 
 [tool.poetry.dependencies]
-python = "^3.10"
+# python = "^3.10"
+python = ">=3.10, <3.12"
 python-dotenv = "^1.0.0"
 httpx = "^0.25.0"
 opencv-python = "^4.8.1.78"
 ultralytics = "^8.0.190"
 hjson = "^3.1.0"
 numpy = "^1.23.2"
-# torch = [
+
-#   { version = "^2.0.0+cu118", source = "torch_cu118", markers = "extra=='cuda'" },
+# https://github.com/python-poetry/poetry/issues/6409
-#   { version = "^2.0.0+cpu", source = "torch_cpu", markers = "extra!='cuda'" },
-# ]
-# torchaudio = [
-#   { version = "^2.0.0+cu118", source = "torch_cu118", markers = "extra=='cuda'" },
-#   { version = "^2.0.0+cpu", source = "torch_cpu", markers = "extra!='cuda'" },
-# ]
-# torchvision = [
-#   { version = "^0.15+cu118", source = "torch_cu118", markers = "extra=='cuda'" },
-#   { version = "^0.15+cpu", source = "torch_cpu", markers = "extra!='cuda'" },
-# ]
 torch = "^2.1.0"
 
+tensorflow-io-gcs-filesystem = "0.31.0"
+deepface = "^0.0.79"
+
 
 [tool.poetry.group.dev.dependencies]
 black = "^23.9.1"
 ruff = "^0.0.291"
 ipykernel = "^6.25.2"
+nbconvert = "^7.9.2"
 
 
-# [[tool.poetry.source]]
-# name = "torch_cpu"
-# url = "https://download.pytorch.org/whl/cpu"
-# priority = "supplemental"
-# 
-# [[tool.poetry.source]]
-# name = "torch_cu118"
-# url = "https://download.pytorch.org/whl/cu118"
-# priority = "supplemental"
-# 
-# [tool.poetry.extras]
-# cuda = []
-# 
-# [[tool.poetry.source]]
-# name = "PyPI"
-# priority = "primary"
-
 [build-system]
 requires = ["poetry-core"]
 build-backend = "poetry.core.masonry.api"