From 898871a1ca98e6253d7aaaa7a47fac4bfd8f6833 Mon Sep 17 00:00:00 2001
From: natanielruiz <nataniel777@hotmail.com>
Date: 星期一, 11 九月 2017 09:09:54 +0800
Subject: [PATCH] Testing regression loss
---
practice/load_AFLW-Copy1.ipynb | 12 ++++++------
1 files changed, 6 insertions(+), 6 deletions(-)
diff --git a/practice/load_AFLW-Copy1.ipynb b/practice/load_AFLW-Copy1.ipynb
index 2ed4ce1..2b6bf67 100644
--- a/practice/load_AFLW-Copy1.ipynb
+++ b/practice/load_AFLW-Copy1.ipynb
@@ -100,11 +100,11 @@
" face_h = row[8]\n",
"\n",
" #Error correction\n",
- " k = 0.15\n",
- " x_min = face_x - image_w * k\n",
- " x_max = face_x + image_w * (k+1)\n",
- " y_min = face_y - image_h * k\n",
- " y_max = face_y + image_h * (k+1)\n",
+ " k = 0.35\n",
+ " x_min = face_x - face_w * k * 0.6\n",
+ " x_max = face_x + face_w + face_w * k * 0.6\n",
+ " y_min = face_y - face_h * k * 2\n",
+ " y_max = face_y + face_h + face_h * k * 0.6\n",
" \n",
" x_min = int(max(0, x_min))\n",
" x_max = int(min(image_w, x_max))\n",
@@ -114,7 +114,7 @@
" #Crop the face from the image\n",
" image_cropped = np.copy(image[y_min:y_max, x_min:x_max])\n",
" #Uncomment the lines below if you want to rescale the image to a particular size\n",
- " to_size = 260\n",
+ " to_size = 240\n",
" image_cropped = cv2.resize(image_cropped, (to_size,to_size), interpolation = cv2.INTER_AREA)\n",
" #Uncomment the line below if you want to use adaptive histogram normalisation\n",
" #clahe = cv2.createCLAHE(clipLimit=2.0, tileGridSize=(5,5))\n",
--
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