def create_summary_html(basedir):
print 'Creating html files in {}'.format(basedir)
ensure_dir(basedir)
main_sessions, other_sessions = find_sessions(basedir)
shutil.copy(join(this_dir(),'figures.css'), basedir)
figures = [
'speeds',
'time-courses',
'sigma-ratios-over-time',
'jancke-ratios-over-time',
]
html = Template("""
<html>
<head>
<link rel="stylesheet" type="text/css" href="figures.css">
</head>
<body>
<H1>Figures for each Session</H1>
{% for session in main_sessions %}
<a href="{{session}}/session_figures.html">{{session}}</a>        
{% endfor %}
</br>
</br>
{% if other_sessions %}
Additional Sessions (not used for summaries):</br>
{% endif %}
{% for session in other_sessions %}
<a href="{{session}}/session_figures.html">{{session}}</a>        
{% endfor %}
</br>
<H1>Summaries over all sessions</H1>
<a href="PCs-explained-variance-summary.png"><img src="PCs-explained-variance-summary.png" width=50%></img></a>
<P>
<table width=100%>
<tr>
<td class="tableHeading"><b>No PCA</b></td>
<td class="tableHeading"><b>PCA</b></td>
</tr>
{% for figure in figures %}
<tr>
<td><a href="{{figure}}-no-PCA.png"><img src="{{figure}}-no-PCA.png" width=100%></img></a></td>
<td><a href="{{figure}}-PCA.png"><img src="{{figure}}-PCA.png" width=100%></img></a></td>
</tr>
{% endfor %}
</table>
</P>
</body>
</html>
""").render(**locals())
with open(join(basedir,'summary.html'), 'w') as f:
f.write(html)
def image_crop(main_path='',sub_path='',subdir_crop='no',ext='.png'):
# sdfsdfsk
#main_path = '\\\\W8881\\datadrive2\\nikel\\LDST\\2013-11-29 V117 3.3MW HH141.5 DIBt2 LDST\\LDST_ite0\\Tower-to-foundation\\plot_SCF'
if main_path == '':
import this_dir
main_path = this_dir.this_dir()
main_path = main_path + '\\' + sub_path
print main_path
path = path_finder.path_finder(main_path,ext,subdir=subdir_crop)
#path = r"C:\Users\nikel\Local Documents\2013-10-07 LDST\results\CrossSection 35-36\plot_35-36_MY_sub2t_S1 weld" # r in front
for i in range(len(path)):
print "Image cropping " + str(100*float(i)/float(len(path)))[0:4] + "% Done"
fp = open(path[i], "rb")
image = Image.open(fp)
image.load()
import sys
imageSize = image.size
from PIL import ImageOps
if image.mode == 'RGBA': # http://stackoverflow.com/questions/2498875/how-to-invert-colors-of-image-with-pil-python-imaging
r,g,b,a = image.split()
rgb_image = Image.merge('RGB', (r,g,b))
invert_im = ImageOps.invert(rgb_image)
else:
invert_im = ImageOps.invert(image)
imageBox = invert_im.getbbox() # white edge removed
#imageBox = image.getbbox()
cropped=image.crop(imageBox)
fp.close()
cropped.save(path[i])
def image_crop(main_path='',sub_path='',subdir_crop='no',ext='.png',workbench='no',pre_cut='no'):
if main_path == '':
import this_dir
main_path = this_dir.this_dir()
main_path = main_path + '\\' + sub_path
print "main_path:", main_path
path = path_finder.path_finder(main_path,ext,subdir=subdir_crop)
#path = r"C:\Users\nikel\Local Documents\2013-10-07 LDST\results\CrossSection 35-36\plot_35-36_MY_sub2t_S1 weld" # r in front
print path
for i in range(len(path)-1,-1,-1):
if path[i].find('_cropped') > -1:
path.pop(i)
print path
for i in range(len(path)):
print "Image cropping " + str(100*float(i)/float(len(path)))[0:4] + "% Done"
fp = open(path[i], "rb")
image = Image.open(fp)
image.load()
if pre_cut == 'yes':
bbox = image.getbbox()
bbox = (bbox[0],bbox[1]+250,bbox[2],bbox[3]-250)
print bbox
cropped = image.crop(bbox)
image = cropped
if workbench == 'no':
import sys
imageSize = image.size
from PIL import ImageOps
if image.mode == 'RGBA': # http://stackoverflow.com/questions/2498875/how-to-invert-colors-of-image-with-pil-python-imaging
r,g,b,a = image.split()
rgb_image = Image.merge('RGB', (r,g,b))
invert_im = ImageOps.invert(rgb_image)
else:
invert_im = ImageOps.invert(image)
imageBox = invert_im.getbbox() # white edge removed
print "imageBox =", imageBox
#imageBox = image.getbbox()
cropped=image.crop(imageBox)
elif workbench == 'yes':
crop_coord,last_temp_bbox = workbench_crop(path[i])
if i == 0:
crop_coord_first,last_temp_bbox_first = crop_coord,last_temp_bbox
elif float(crop_coord_first[0][1])/crop_coord[0][1] > 1.1 or float(crop_coord_first[0][0])/crop_coord[0][0] > 1.1 or float(crop_coord_first[1][1])/crop_coord[1][1] > 1.1 or float(crop_coord_first[1][0])/crop_coord[1][0] > 1.1 or float(crop_coord_first[0][1])/crop_coord[0][1] > 0.9 or float(crop_coord_first[0][0])/crop_coord[0][0] > 0.9 or float(crop_coord_first[1][1])/crop_coord[1][1] > 0.9 or float(crop_coord_first[1][0])/crop_coord[1][0] > 0.9:
crop_coord,last_temp_bbox = crop_coord_first,last_temp_bbox_first
print crop_coord
path[i] = path[i] + '_cropped.png'
cropped = image.crop((crop_coord[0][1],crop_coord[0][0],crop_coord[1][1]+last_temp_bbox[2],crop_coord[1][0]+last_temp_bbox[3]-22))#+last_temp_bbox[2]))
fp.close()
print path[i]
cropped.save(path[i])# + '_cropped.png')
