def writeHTML(options):
from html import HTML
titles = options.titles
h = HTML('html')
h.p('Results')
h.br()
path = '.'
#methods = ['planenet', 'pixelwise', 'pixelwise+RANSAC', 'GT+RANSAC', 'planenet+crf', 'pixelwise+semantics+RANSAC']
#methods = ['planenet', 'pixelwise', 'pixelwise+RANSAC', 'GT+RANSAC']
for image_index in xrange(options.numImages):
t = h.table(border='1')
r_inp = t.tr()
r_inp.td('input ' + str(image_index + options.startIndex))
r_inp.td().img(src=path + '/' + str(image_index + options.startIndex) + '_image.png')
r = t.tr()
r.td('methods')
for method_index, method in enumerate(titles):
r.td(method)
continue
r = t.tr()
r.td('segmentation')
for method_index, method in enumerate(titles):
r.td().img(src=path + '/' + str(image_index + options.startIndex) + '_segmentation_pred_' + str(method_index) + '.png')
r.td().img(src=path + '/' + str(image_index + options.startIndex) + '_segmentation_pred_blended_' + str(method_index) + '.png')
continue
r = t.tr()
r.td('depth')
for method_index, method in enumerate(titles):
r.td().img(src=path + '/' + str(image_index + options.startIndex) + '_depth_pred_' + str(method_index) + '.png')
continue
h.br()
continue
metric_titles = ['depth error 0.1', 'depth error 0.2', 'depth error 0.3', 'IOU 0.3', 'IOU 0.5', 'IOU 0.7']
h.p('Curves on plane accuracy')
for title in metric_titles:
h.img(src='curve_plane_' + title.replace(' ', '_') + '.png')
continue
h.p('Curves on pixel coverage')
for title in metric_titles:
h.img(src='curve_pixel_' + title.replace(' ', '_') + '.png')
continue
html_file = open(options.test_dir + '/index.html', 'w')
html_file.write(str(h))
html_file.close()
return
def writeHTML(options):
from html import HTML
titles = options.titles
h = HTML('html')
h.p('Results')
h.br()
path = '.'
#methods = ['planenet', 'pixelwise', 'pixelwise+RANSAC', 'GT+RANSAC', 'planenet+crf', 'pixelwise+semantics+RANSAC']
#methods = ['planenet', 'pixelwise', 'pixelwise+RANSAC', 'GT+RANSAC']
for image_index in range(options.numImages):
t = h.table(border='1')
r_inp = t.tr()
r_inp.td('input ' + str(image_index + options.startIndex))
r_inp.td().img(src=path + '/' + str(image_index + options.startIndex) +
'_image.png')
# r = t.tr()
# r.td('PlaneNet prediction')
# r.td().img(src=firstFolder + '/' + str(index) + '_segmentation_pred.png')
# r.td().img(src=firstFolder + '/' + str(index) + '_depth_pred.png')
r = t.tr()
r.td('methods')
for method_index, method in enumerate(titles):
r.td(method)
continue
r = t.tr()
r.td('segmentation')
for method_index, method in enumerate(titles):
r.td().img(src=path + '/' + str(image_index + options.startIndex) +
'_segmentation_pred_' + str(method_index) + '.png')
r.td().img(src=path + '/' + str(image_index + options.startIndex) +
'_segmentation_pred_blended_' + str(method_index) +
'.png')
continue
r = t.tr()
r.td('depth')
for method_index, method in enumerate(titles):
r.td().img(src=path + '/' + str(image_index + options.startIndex) +
'_depth_pred_' + str(method_index) + '.png')
continue
h.br()
continue
metric_titles = [
'depth error 0.1', 'depth error 0.2', 'depth error 0.3', 'IOU 0.3',
'IOU 0.5', 'IOU 0.7'
]
h.p('Curves on plane accuracy')
for title in metric_titles:
h.img(src='curve_plane_' + title.replace(' ', '_') + '.png')
continue
h.p('Curves on pixel coverage')
for title in metric_titles:
h.img(src='curve_pixel_' + title.replace(' ', '_') + '.png')
continue
html_file = open(options.test_dir + '/index.html', 'w')
html_file.write(str(h))
html_file.close()
return
tier += 1
for ID in t:
i = gw.getItemData(ID)
newItem = mat(i['name'], i['sale_availability'],
i['offer_availability'], ID, i['min_sale_unit_price'],
i['max_offer_unit_price'], i['sale_price_change_last_hour'],
i['offer_price_change_last_hour'], tier)
items[ID] = newItem
# Generate HTML
page = HTML('html')
tier = 0
for t in tierMats:
tier += 1
page.br()
page.br()
table = page.table(border='1')
table.thead.th("Tier %d" % tier, colspan='3')
head = table.thead()
for s in ['Name','Min sell', 'Max buy']:
head.th(s)
for ID in t:
tr = table.tr()
for data in [items[ID].name, items[ID].sellPrice, items[ID].buyPrice]:
tr.td(str(data))
print "Content-type: text/html\n"
print page
from email.header import Header
from email.mime.multipart import MIMEMultipart
import traceback
from html import HTML
import pdb
# 设置css样式
inline_css = {
'black': 'color:#000000;',
'red': 'color:#FF0000;',
'green': 'color:#00FF00;',
}
b = HTML()
b1 = b.br("这是表格1:")
t1 = b.table(border='1', caption='table 1', width='800')
with open('market_monitor_1.csv') as f:
lines = f.readlines()
for line in lines:
datas = line.split('\t')
r1 = t1.tr()
r1.td(datas[0], style=inline_css['black'])
r1.td(datas[1], style=inline_css['black'])
r1.td(datas[2], style=inline_css['black'])
r1.td(datas[3], style=inline_css['black'])
r1.td(datas[4], style=inline_css['black'])
r1.td(datas[5], style=inline_css['black'])
r1.td(datas[6], style=inline_css['black'])
r1.td(datas[7], style=inline_css['black'])
