if False:
#%%
options = SuspiciousDetectionOptions()
options.bRenderHtml = False
options.imageBase = r'd:\wildlife_data\tigerblobs'
options.outputBase = r'd:\temp\suspiciousDetections'
options.debugMaxDir = -1
options.debugMaxRenderDir = -1
options.debugMaxRenderDetection = -1
options.debugMaxRenderInstance = -1
inputCsvFilename = r'D:\temp\tigers_20190308_all_output.csv'
outputCsvFilename = matlab_porting_tools.insert_before_extension(
inputCsvFilename, 'filtered')
suspiciousDetectionResults = findSuspiciousDetections(
inputCsvFilename, outputCsvFilename, options)
#%% Command-line driver
# Copy all fields from a Namespace (i.e., the output from parse_args) to an object.
#
# Skips fields starting with _. Does not check existence in the target object.
def argsToObject(args, obj):
for n, v in inspect.getmembers(args):
if not n.startswith('_'):
# print('Setting {} to {}'.format(n,v))
def write_html_image_list(filename=None, images=None, options={}):
# returns an options struct
if 'fHtml' not in options:
options['fHtml'] = -1
if 'makeRelative' not in options:
options['makeRelative'] = 0
if 'headerHtml' not in options:
options['headerHtml'] = ''
if 'trailerHtml' not in options:
options['trailerHtml'] = ''
if 'defaultTextStyle' not in options:
options['defaultTextStyle'] = \
"font-family:calibri,verdana,arial;font-weight:bold;font-size:150%;text-align:left;margin:0px;"
if 'defaultImageStyle' not in options:
options['defaultImageStyle'] = \
"margin:0px;margin-top:5px;margin-bottom:5px;"
# Possibly split the html output for figures into multiple files; Chrome gets sad with
# thousands of images in a single tab.
if 'maxFiguresPerHtmlFile' not in options:
options['maxFiguresPerHtmlFile'] = math.inf
if filename == None:
return options
# images may be a list of images or a list of image/style/title dictionaries,
# enforce that it's the latter to simplify downstream code
for iImage, imageInfo in enumerate(images):
if isinstance(imageInfo, str):
imageInfo = {
'filename': imageInfo,
'imageStyle': '',
'title': '',
'textStyle': ''
}
if 'filename' not in imageInfo:
imageInfo['filename'] = ''
if 'imageStyle' not in imageInfo:
imageInfo['imageStyle'] = options['defaultImageStyle']
if 'title' not in imageInfo:
imageInfo['title'] = ''
if 'textStyle' not in imageInfo:
textStyle = options['defaultTextStyle']
imageInfo['textStyle'] = options['defaultTextStyle']
images[iImage] = imageInfo
# Remove leading directory information from filenames if requested
if options['makeRelative'] == 1:
for iImage in range(0, len(images)):
_, n, e = mpt.fileparts(images[iImage]['filename'])
images[iImage]['filename'] = n + e
elif options['makeRelative'] == 2:
baseDir, _, _ = mpt.fileparts(filename)
if len(baseDir) > 1 and baseDir[-1] != '\\':
baseDir = baseDir + '\\'
for iImage in range(0, len(images)):
fn = images[iImage]['filename']
fn = fn.replace(baseDir, '')
images[iImage]['filename'] = fn
nImages = len(images)
# If we need to break this up into multiple files...
if nImages > options['maxFiguresPerHtmlFile']:
# You can't supply your own file handle in this case
if options['fHtml'] != -1:
raise ValueError(
'You can'
't supply your own file handle if we have to page the image set'
)
figureFileStartingIndices = list(
range(0, nImages, options['maxFiguresPerHtmlFile']))
assert len(figureFileStartingIndices) > 1
# Open the meta-output file
fMeta = open(filename, 'w')
# Write header stuff
fMeta.write('<html><body>\n')
fMeta.write(options['headerHtml'])
fMeta.write('<table border = 0 cellpadding = 2>\n')
for startingIndex in figureFileStartingIndices:
iStart = startingIndex
iEnd = startingIndex + options['maxFiguresPerHtmlFile'] - 1
if iEnd >= nImages:
iEnd = nImages - 1
trailer = 'image_{:05d}_{:05d}'.format(iStart, iEnd)
localFiguresHtmlFilename = mpt.insert_before_extension(
filename, trailer)
fMeta.write('<tr><td>\n')
fMeta.write(
'<p style="padding-bottom:0px;margin-bottom:0px;text-align:left;font-family:'
'segoe ui'
',calibri,arial;font-size:100%;text-decoration:none;font-weight:bold;">'
)
fMeta.write(
'<a href="{}">Figures for images {} through {}</a></p></td></tr>\n'
.format(localFiguresHtmlFilename, iStart, iEnd))
localImages = images[iStart:iEnd + 1]
localOptions = options.copy()
localOptions['headerHtml'] = ''
localOptions['trailerHtml'] = ''
# Make a recursive call for this image set
write_html_image_list(localFiguresHtmlFilename, localImages,
localOptions)
# ...for each page of images
fMeta.write('</table></body>\n')
fMeta.write(options['trailerHtml'])
fMeta.write('</html>\n')
fMeta.close()
return options
# ...if we have to make multiple sub-pages
bCleanupFile = False
if options['fHtml'] == -1:
bCleanupFile = True
fHtml = open(filename, 'w')
else:
fHtml = options['fHtml']
fHtml.write('<html><body>\n')
fHtml.write(options['headerHtml'])
# Write out images
for iImage, image in enumerate(images):
title = image['title']
imageStyle = image['imageStyle']
textStyle = image['textStyle']
filename = image['filename']
# Remove unicode characters
title = title.encode('ascii', 'ignore').decode('ascii')
filename = filename.encode('ascii', 'ignore').decode('ascii')
if len(title) > 0:
fHtml.write(
'<p style="{}">{}</p>\n'\
.format(textStyle,title))
fHtml.write('<img src="{}" style="{}">\n'.format(filename, imageStyle))
if iImage != len(images) - 1:
fHtml.write('<br/>')
# ...for each image we need to write
fHtml.write(options['trailerHtml'])
fHtml.write('</body></html>\n')
if bCleanupFile:
fHtml.close()
# Write output
# write_api_results(detectionResults,outputFilename)
detectionResults.to_csv(outputFilename,index=False,quoting=csv.QUOTE_MINIMAL)
return detectionResults
#%% Interactive driver
if False:
#%%
inputFilename = r"D:\temp\demo_images\snapshot_serengeti\detections.csv"
outputFilename = mpt.insert_before_extension(inputFilename,'for_timelapse')
options = TimelapsePrepOptions()
options.prepend = ''
options.replacement = 'snapshot_serengeti'
options.query = r'd:\temp\demo_images\snapshot_serengeti'
options.nRows = None
options.removeClassLabel = True
detectionResults = prepare_api_output_for_timelapse(inputFilename,outputFilename,options)
print('Done, found {} matches'.format(len(detectionResults)))
#%% Command-line driver (** outdated **)
import argparse
