def suckBG(u,url):
"download the graphic, check for unique md5, save to unique filename"
global bgBytes
bget = None
if u not in backgrounds and u not in tmp_backgrounds:
try:
bget = urllib.urlopen(u)
if bget.info().getheader("Content-Type") and bget.info().getheader("Content-Type") != "image/jpeg" and bget.info().getheader("Content-length") < 15000 :
"Let's be sure that we dont download image before knowing everything about it"
print "+got image"
bget.close()
return
else:
btmp = bget.read()
md = hashlib.md5(btmp).hexdigest()
except Exception:
print "-couldn't download this picture"
return
if md not in md5s and md not in tmp_md5s :
fn = getFileName(u,len(btmp))
if fn: #if we have our image filename
fbg = open(fn,'wb') #open file for writing
fbg.write(btmp) # write it
fbg.close() #close it
bgBytes = bgBytes + len(btmp) #count size
fileHandler = Image.open(fn) #open file for analysis
fn_jpeg = fn
height = hlsir.reportShapeInfo(fn_jpeg)[1]
width = hlsir.reportShapeInfo(fn_jpeg)[0]
if fileHandler.format == 'JPEG' and fileHandler.mode == 'RGB' and hlsir.reportShapeInfo(fn_jpeg)[0]>128 and hlsir.reportShapeInfo(fn_jpeg)[0]<1600 and hlsir.reportShapeInfo(fn_jpeg)[1]>128 and hlsir.reportShapeInfo(fn_jpeg)[1]<1600:
for x in range(0,sliceX):
for y in range(0,sliceY):
[h,l,s] = hlsir.convertJpgToHlsNumpy(fn_jpeg,x,y) # if hls is zero than image was too small
HLS_VECTOR[x,y] = [h,l,s]
"""print "This is HLS : %s " % (HLS_VECTOR) """
print "\033[1m +vector commit! \033[0m"
hlsir.mysqlInsertImage(md,fn_jpeg,height,width,u,url,HLS_VECTOR)
hlsir.repetitiveness = 0
tmp_md5s.append(md)
else:
print "Inapropriate format of file"
else:
print chrDupe+" MD5 fingerprint for '%s' exists." % u[string.rfind(u,'/')+1:]
fnList.append(fn)
imagefile = dirUpload+os.sep+fn
fileHandler = Image.open(imagefile)
if fileHandler.format != "JPEG" or fileHandler.mode != "RGB":
print "Invalid fileformat"
sys.exit(0)
else:
file_jpeg = imagefile
height = hlsir.reportShapeInfo(imagefile)[1]
width = hlsir.reportShapeInfo(imagefile)[0]
a = time.time()
for x in range(0,hlsir.sliceX):
for y in range(0,hlsir.sliceY):
[H,L,S] = hlsir.convertJpgToHlsNumpy(file_jpeg,x,y)
HLS_VECTOR[x,y] = [H,L,S]
print "<br><h1>Source image</h1><br> <img src=upload/%s width=20%% height=20%%>" % (fn)
""" method 1 """
basetreshold = 0.95
iterator = 0.05
imagescount = 0
imagescount = hlsir.HLSQueryCount(HLS_VECTOR,basetreshold,basetreshold,basetreshold,importance_matrix,basetreshold)
result_image_url = set(hlsir.returnURLFromMD5(hlsir.constructHLSQuery(HLS_VECTOR,1,1,1,importance_matrix,basetreshold)))
sorted_image_url = set(result_image_url)
while True:
if (imagescount > 0) and (imagescount < 20):
result_image_url = set(hlsir.returnURLFromMD5(hlsir.constructHLSQuery(HLS_VECTOR,basetreshold,basetreshold,basetreshold,importance_matrix,basetreshold)))