if form_data.has_key("batch_size"):
batch_size = int(form_data["batch_size"].value)
for i in image_numbers[::batch_size]:
start = i
end = min(start + batch_size - 1, max(image_numbers))
status_file_name = ("%s/status/Batch_%d_to_%d_DONE.mat" %
(batch["data_dir"], start, end))
run = {
"start": start,
"end": end,
"group": None,
"status_file_name": status_file_name
}
batch["runs"].append(run)
batch_id = RunBatch.CreateBatchRun(batch)
email_text = []
email_text.append("<html>")
email_text.append("<head><title>Batch # %d</title>" % (batch_id))
email_text.append("<style type='text/css'>")
email_text.append("""
table {
border-spacing: 0px;
border-collapse: collapse;
}
td {
text-align: left;
vertical-align: baseline;
padding: 0.1em 0.5em;
border: 1px solid #666666;
if error:
exception = RuntimeError()
exception.message = error
raise exception
#
# This is somewhat dependent on internals, but we
mrf = mat_reader_factory(batch_file, struct_as_record=True)
batch_info = mrf.get_variables(['number_of_image_sets'])
if batch_info.has_key('number_of_image_sets'):
my_batch["num_sets"] = batch_info['number_of_image_sets'][0, 0]
else:
batch_info = loadmat(batch_file, struct_as_record=True)
my_batch["num_sets"] = batch_info['handles']['Current'][
0, 0]['NumberOfImageSets'][0, 0][0, 0]
runs = PartitionBatches(my_batch)
batch_id = RunBatch.CreateBatchRun(my_batch)
results = RunBatch.RunAll(batch_id)
text = []
text.append("<html>")
text.append("<head><title>Batch # %d</title>" % (batch_id))
text.append("<style type='text/css'>")
text.append("""
table {
border-spacing: 0px;
border-collapse: collapse;
}
td {
text-align: left;
vertical-align: baseline;
padding: 0.1em 0.5em;
border: 1px solid #666666;
