From f415df3448622f30c3d1eb680596871672b38dac Mon Sep 17 00:00:00 2001
From: natanielruiz <nataniel777@hotmail.com>
Date: 星期四, 26 十月 2017 02:51:37 +0800
Subject: [PATCH] after fg
---
practice/.ipynb_checkpoints/smoothing_ypr-checkpoint.ipynb | 75 ++++++++++++++++++++++++-------------
1 files changed, 48 insertions(+), 27 deletions(-)
diff --git a/practice/.ipynb_checkpoints/smoothing_ypr-checkpoint.ipynb b/practice/.ipynb_checkpoints/smoothing_ypr-checkpoint.ipynb
index a411c30..350646c 100644
--- a/practice/.ipynb_checkpoints/smoothing_ypr-checkpoint.ipynb
+++ b/practice/.ipynb_checkpoints/smoothing_ypr-checkpoint.ipynb
@@ -2,9 +2,9 @@
"cells": [
{
"cell_type": "code",
- "execution_count": 156,
+ "execution_count": 8,
"metadata": {
- "collapsed": false
+ "collapsed": true
},
"outputs": [],
"source": [
@@ -17,22 +17,22 @@
},
{
"cell_type": "code",
- "execution_count": 157,
+ "execution_count": 9,
"metadata": {
- "collapsed": false
+ "collapsed": true
},
"outputs": [],
"source": [
- "video_path = '../data/video/SGT036_2016_07_25_pivothead_AVI.avi'\n",
- "bbox_path = '../data/video/annotations/SGT036_childface.txt'\n",
+ "video_path = '../data/video/jacob_collier_live.mp4'\n",
+ "bbox_path = '../data/video/annotations/video-det-fold-jacob_collier_live.txt'\n",
"\n",
- "annot_path = '../output/video/output-SGT036_resnet18_cr_epoch_1.txt'\n",
- "output_string = 'SGT036_resnet18_cr_epoch_1_flat_smoothed'"
+ "annot_path = '../output/video/output-jacob_normal_a1.txt'\n",
+ "output_string = 'jacob_smooth'"
]
},
{
"cell_type": "code",
- "execution_count": 158,
+ "execution_count": 10,
"metadata": {
"collapsed": false
},
@@ -41,9 +41,9 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "[-6.069214 -0.831665 0.53318 ..., -3.836042 -3.868275 -2.377155]\n",
- "(8508,)\n",
- "(53464,)\n"
+ "[ -2.073635 -10.835449 8.318871 ..., -20.763079 -12.68498 19.257992]\n",
+ "(19987,)\n",
+ "(21373,)\n"
]
}
],
@@ -67,11 +67,15 @@
" list_p.append(float(line[2]))\n",
" list_r.append(float(line[3]))\n",
" \n",
+ "last_frame = 0\n",
"for line in bbox:\n",
" line = line.strip('\\n')\n",
" line = line.split(' ')\n",
" frame = int(line[0])\n",
- " x_min, y_min, x_max, y_max = int(line[1]), int(line[2]), int(line[3]), int(line[4])\n",
+ " if frame == last_frame:\n",
+ " continue\n",
+ " last_frame = frame\n",
+ " x_min, y_min, x_max, y_max = int(float(line[1])), int(float(line[2])), int(float(line[3])), int(float(line[4]))\n",
" list_x_min.append(x_min)\n",
" list_x_max.append(x_max)\n",
" list_y_min.append(y_min)\n",
@@ -93,7 +97,7 @@
},
{
"cell_type": "code",
- "execution_count": 159,
+ "execution_count": 11,
"metadata": {
"collapsed": false
},
@@ -107,31 +111,39 @@
}
],
"source": [
- "window_len = 6\n",
+ "window_len = 1\n",
"pad = window_len / 2\n",
"window = 'flat'\n",
+ "window_2 = 'flat'\n",
+ "window_len_2 = 7\n",
+ "pad_2 = window_len_2 / 2\n",
"\n",
"s = np.r_[y[window_len-1:0:-1],y,y[-2:-window_len-1:-1]]\n",
"t = np.r_[p[window_len-1:0:-1],p,p[-2:-window_len-1:-1]]\n",
"u = np.r_[r[window_len-1:0:-1],r,r[-2:-window_len-1:-1]]\n",
"\n",
- "xa = np.r_[x_min_arr[window_len-1:0:-1],x_min_arr,x_min_arr[-2:-window_len-1:-1]]\n",
- "xb = np.r_[x_max_arr[window_len-1:0:-1],x_max_arr,x_max_arr[-2:-window_len-1:-1]]\n",
- "ya = np.r_[y_min_arr[window_len-1:0:-1],y_min_arr,y_min_arr[-2:-window_len-1:-1]]\n",
- "yb = np.r_[y_max_arr[window_len-1:0:-1],y_max_arr,y_max_arr[-2:-window_len-1:-1]]\n",
+ "xa = np.r_[x_min_arr[window_len_2-1:0:-1],x_min_arr,x_min_arr[-2:-window_len_2-1:-1]]\n",
+ "xb = np.r_[x_max_arr[window_len_2-1:0:-1],x_max_arr,x_max_arr[-2:-window_len_2-1:-1]]\n",
+ "ya = np.r_[y_min_arr[window_len_2-1:0:-1],y_min_arr,y_min_arr[-2:-window_len_2-1:-1]]\n",
+ "yb = np.r_[y_max_arr[window_len_2-1:0:-1],y_max_arr,y_max_arr[-2:-window_len_2-1:-1]]\n",
"\n",
"if window == 'flat':\n",
" w=np.ones(window_len, 'd')\n",
"else:\n",
" w=eval('np.' + window + '(window_len)')\n",
+ " \n",
+ "if window_2 == 'flat':\n",
+ " w_2=np.ones(window_len_2, 'd')\n",
+ "else:\n",
+ " w_2=eval('np.' + window_2 + '(window_len_2)') \n",
"\n",
"y = np.convolve(w / w.sum(), s, mode='valid')[pad:-pad]\n",
"p = np.convolve(w / w.sum(), t, mode='valid')[pad:-pad]\n",
"r = np.convolve(w / w.sum(), u, mode='valid')[pad:-pad]\n",
- "x_min_arr = np.convolve(w / w.sum(), xa, mode='valid')[pad:-pad]\n",
- "x_max_arr = np.convolve(w / w.sum(), xb, mode='valid')[pad:-pad]\n",
- "y_min_arr = np.convolve(w / w.sum(), ya, mode='valid')[pad:-pad]\n",
- "y_max_arr = np.convolve(w / w.sum(), yb, mode='valid')[pad:-pad]\n",
+ "x_min_arr = np.convolve(w_2 / w_2.sum(), xa, mode='valid')[pad_2:-pad_2]\n",
+ "x_max_arr = np.convolve(w_2 / w_2.sum(), xb, mode='valid')[pad_2:-pad_2]\n",
+ "y_min_arr = np.convolve(w_2 / w_2.sum(), ya, mode='valid')[pad_2:-pad_2]\n",
+ "y_max_arr = np.convolve(w_2 / w_2.sum(), yb, mode='valid')[pad_2:-pad_2]\n",
"\n",
"pose_dict = {}\n",
"bbox_dict = {}\n",
@@ -151,7 +163,7 @@
},
{
"cell_type": "code",
- "execution_count": 160,
+ "execution_count": 14,
"metadata": {
"collapsed": false
},
@@ -166,12 +178,21 @@
],
"source": [
"video = cv2.VideoCapture(video_path)\n",
+ "# New cv2\n",
"width = int(video.get(cv2.CAP_PROP_FRAME_WIDTH)) # float\n",
"height = int(video.get(cv2.CAP_PROP_FRAME_HEIGHT)) # float\n",
"\n",
"# Define the codec and create VideoWriter object\n",
"fourcc = cv2.VideoWriter_fourcc(*'MJPG')\n",
"out = cv2.VideoWriter('../output/video/output-%s.avi' % output_string, fourcc, 30.0, (width, height))\n",
+ "\n",
+ "# Old cv2\n",
+ "# width = int(video.get(cv2.cv.CV_CAP_PROP_FRAME_WIDTH)) # float\n",
+ "# height = int(video.get(cv2.cv.CV_CAP_PROP_FRAME_HEIGHT)) # float\n",
+ "\n",
+ "# # Define the codec and create VideoWriter object\n",
+ "# fourcc = cv2.cv.CV_FOURCC(*'MJPG')\n",
+ "# out = cv2.VideoWriter('../output/video/output-%s.avi' % output_string, fourcc, 30.0, (width, height))\n",
"\n",
"txt_out = open('../output/video/output-%s.txt' % output_string, 'w')\n",
"\n",
@@ -196,7 +217,7 @@
"\n",
" # Print new frame with cube and TODO: axis\n",
" txt_out.write(str(frame_num) + ' %f %f %f\\n' % (yaw_predicted, pitch_predicted, roll_predicted))\n",
- " utils.plot_pose_cube(frame, yaw_predicted, pitch_predicted, roll_predicted, (x_min + x_max) / 2, (y_min + y_max) / 2, size = 200)\n",
+ " utils.plot_pose_cube(frame, yaw_predicted, pitch_predicted, roll_predicted, (x_min + x_max) / 2, (y_min + y_max) / 2, size = 80)\n",
" out.write(frame)\n",
" else:\n",
" out.write(frame)\n",
@@ -226,9 +247,9 @@
"metadata": {
"anaconda-cloud": {},
"kernelspec": {
- "display_name": "Python [conda root]",
+ "display_name": "Python [default]",
"language": "python",
- "name": "conda-root-py"
+ "name": "python2"
},
"language_info": {
"codemirror_mode": {
--
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