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Merge pull request #35 from LimaoC/mitch-deepface-deps
build,feat: added dependencies for deepface and test notebook
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{ | ||
"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 \"<frozen importlib._bootstrap>\", line 619, in _exec\n", | ||
" File \"<frozen importlib._bootstrap_external>\", line 883, in exec_module\n", | ||
" File \"<frozen importlib._bootstrap>\", 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 <module>\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 | ||
} |
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