replaced strings with variables

Esse commit está contido em:
danotsonof
2020-01-15 18:12:50 +01:00
commit 6c3de34fd7
+14 -25
Ver Arquivo
@@ -461,7 +461,7 @@
"if (haarcascade in os.listdir(os.curdir)):\n",
" print(\"File exists\")\n",
"else:\n",
" # download file from url and save locally as haarcascade_frontalface_alt2.xml\n",
" # download file from url and save locally as haarcascade_frontalface_alt2.xml, < 1MB\n",
" urlreq.urlretrieve(haarcascade_url, haarcascade)\n",
" print(\"File downloaded\")"
]
@@ -491,7 +491,7 @@
],
"source": [
"# create an instance of the Face Detection Cascade Classifier\n",
"detector = cv2.CascadeClassifier(\"haarcascade_frontalface_alt2.xml\")\n",
"detector = cv2.CascadeClassifier(haarcascade)\n",
"\n",
"# Detect faces using the haarcascade classifier on the \"grayscale image\"\n",
"faces = detector.detectMultiScale(image_gray)\n",
@@ -589,7 +589,7 @@
"if (LBFmodel in os.listdir(os.curdir)):\n",
" print(\"File exists\")\n",
"else:\n",
" # download picture from url and save locally as lbfmodel.yaml\n",
" # download picture from url and save locally as lbfmodel.yaml, < 54MB\n",
" urlreq.urlretrieve(LBFmodel_url, LBFmodel)\n",
" print(\"File downloaded\")"
]
@@ -819,13 +819,13 @@
"source": [
"# create an instance of the Facial landmark Detector with the model\n",
"landmark_detector = cv2.face.createFacemarkLBF()\n",
"landmark_detector.loadModel(\"lbfmodel.yaml\")\n",
"landmark_detector.loadModel(LBFmodel)\n",
"\n",
"# Detect landmarks on \"image_gray\"\n",
"_, landmarks = landmark_detector.fit(image_gray, faces)\n",
"\n",
"# print coordinates of detected landmarks\n",
"print(\"landmarks LBF\\n\", landmarks)"
"print(\"Landmarks\\n\", landmarks)"
]
},
{
@@ -1004,29 +1004,18 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"https://github.com/kurnianggoro/GSOC2017"
"https://github.com/albertofernandezvillan\n",
"<br>https://github.com/kurnianggoro/GSOC2017\n",
"<br>https://github.com/sacchitchadha\n",
"<br>https://github.com/tensorflowlagos"
]
},
{
"cell_type": "markdown",
"cell_type": "code",
"execution_count": null,
"metadata": {},
"source": [
"https://github.com/sacchitchadha"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"https://github.com/albertofernandezvillan"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"https://github.com/tensorflowlagos"
]
"outputs": [],
"source": []
}
],
"metadata": {
@@ -1056,4 +1045,4 @@
},
"nbformat": 4,
"nbformat_minor": 2
}
}