images = conn.get_images(user_id=user['_id'], is_duplicate=False)
is_duplicate = False
group = 1
is_unique = True
for image in images:
if pHash.hamming_distance(hash1, long(image['hash'])) < 15:
is_unique = False
if image_quality < image['quality']:
group = image['group']
is_duplicate = True
break
elif not image['is_duplicate']:
group = image['group']
conn.mark_image_duplicate(image["_id"])
break
if is_unique:
highest_group += 1
group = highest_group
print "adding image for user " + str(user) + " -- " + data[
"path"] + " quality " + str(image_quality)
conn.insert_image(user["_id"],
data["path"], [latitude, longitude],
"xx",
hash1,
timestamp,
group,
image_quality,
is_duplicate=is_duplicate)
os.unlink(temp.name)
image_quality = float(p.match(output).group(1))
images = conn.get_images(user_id=user['_id'], is_duplicate=False)
is_duplicate = False
group = 1
is_unique = True
for image in images:
if pHash.hamming_distance(hash1, long(image['hash'])) < 15:
is_unique = False
if image_quality < image['quality']:
group = image['group']
is_duplicate = True
break
elif not image['is_duplicate']:
group = image['group']
conn.mark_image_duplicate(image["_id"])
break
if is_unique:
highest_group += 1
group = highest_group
print "adding image for user " + str(user) + " -- " + data["path"] + " quality " + str(image_quality)
conn.insert_image(user["_id"],data["path"],[latitude, longitude],"xx",hash1,timestamp,group,image_quality,is_duplicate=is_duplicate)
os.unlink(temp.name)
# download image
# parse out EXIF data
# get lat/long from geo data
# insert a picture into DB
# create hash/compare/etc
