def crop(request, block):
id = int(request.GET.get('id', -1))
data = json.loads(request.GET.get('data', []))
from core.models import File
file = File.objects.get(id=id)
file_crop_data = file.data.get('scale', {})
from pgmagick import Image, Geometry
file_path = '%s/%s' % (MEDIA_ROOT, file.path)
full_file_path = '%s/%s' % (file_path, file.file_name)
for crop_data in data:
#
# do not crop same image twice
#
if crop_data['name'] in file_crop_data:
local_crop_data = file_crop_data[crop_data['name']]
if 'scaled_width' in local_crop_data and 'scaled_height' in local_crop_data and 'crop_x' in local_crop_data and 'crop_y' in local_crop_data:
if local_crop_data['scaled_width'] == int(crop_data['scaled_width']) and local_crop_data['scaled_height'] == int(crop_data['scaled_height']) and local_crop_data['crop_x'] == int(crop_data['crop_x']) and local_crop_data['crop_y'] == int(
crop_data['crop_y']):
continue
image = Image(str(full_file_path))
g = Geometry(int(crop_data['scaled_width']), int(crop_data['scaled_height']), 0, 0)
image.scale(g)
gc = Geometry(int(crop_data['width']), int(crop_data['height']), int(crop_data['crop_x']), int(crop_data['crop_y']))
image.crop(gc)
image.quality(100)
image.sharpen(1.0)
full_scaled_image_path = '%s/%s_%s' % (file_path, crop_data['prefix'], file.file_name)
image.write(str(full_scaled_image_path))
scale_data = dict(
width=int(crop_data['width']),
height=int(crop_data['height']),
scaled_width=int(crop_data['scaled_width']),
scaled_height=int(crop_data['scaled_height']),
crop_x=int(crop_data['crop_x']),
crop_y=int(crop_data['crop_y']),
center_x=crop_data['center_x'],
center_y=crop_data['center_y'],
quality=100,
sharpen=1.0,
prefix=crop_data['prefix'],
name=crop_data['name'],
cropped=True
)
file.data['scale'][crop_data['name']] = scale_data
file.save()
return dict(status='success', message='Image %s was successfully cropped.' % file.title, id=id)
def get_image(self):
# Open the image
try:
r = requests.get(self.path,
allow_redirects=True,
verify=verify_ssl)
if not r:
raise ValueError("Could not get " + self.path)
if r.status_code != 200:
raise ValueError("Unexpected status code ({}) for {}".format(
r.status_code, self.path))
img_data = r.content
bytes_read = len(img_data)
except requests.exceptions.RequestException as e:
raise ImageRetrievalError(self.path, str(e))
blob = Blob(img_data)
image = Image(blob)
# Check if the whole image should be used and cropped if necessary.
src_width = image.size().width()
src_height = image.size().height()
if self.width != src_width or self.height != src_height:
box = Geometry(self.width, self.height, self.x_min_src,
self.y_min_src)
image.crop(box)
# Estimates the size in Bytes of this image part by scaling the number
# of Bytes read with the ratio between the needed part of the image and
# its actual size.
self.estimated_size = bytes_read * abs(
float(self.width * self.height) / float(src_width * src_height))
return image
def get_image(self):
# Open the image
try:
img_file = urlopen(self.path)
img_data = img_file.read()
bytes_read = len(img_data)
except HTTPError as e:
raise ImageRetrievalError(self.path, "Error code: %s" % e.code)
except URLError as e:
raise ImageRetrievalError(self.path, e.reason)
blob = Blob(img_data)
image = Image(blob)
# Check if the whole image should be used and cropped if necessary.
src_width = image.size().width()
src_height = image.size().height()
if self.width != src_width or self.height != src_height:
box = Geometry(self.width, self.height, self.x_min_src,
self.y_min_src)
image.crop(box)
# Estimates the size in Bytes of this image part by scaling the number
# of Bytes read with the ratio between the needed part of the image and
# its actual size.
self.estimated_size = bytes_read * abs(
float(self.width * self.height) / float(src_width * src_height))
return image
def get_image( self ):
# Open the image
try:
img_file = urllib.urlopen( self.path )
img_data = img_file.read()
bytes_read = len(img_data)
except urllib.HTTPError as e:
raise ImageRetrievalError(self.path, "Error code: %s" % e.code)
except urllib.URLError as e:
raise ImageRetrievalError(self.path, e.reason)
blob = Blob( img_data )
image = Image( blob )
# Check if the whole image should be used and cropped if necessary.
src_width = image.size().width()
src_height = image.size().height()
if self.width != src_width or self.height != src_height:
box = Geometry( self.width, self.height, self.x_min_src, self.y_min_src )
image.crop( box )
# Estimates the size in Bytes of this image part by scaling the number
# of Bytes read with the ratio between the needed part of the image and
# its actual size.
self.estimated_size = bytes_read * abs(float(self.width * self.height) /
float(src_width * src_height))
return image
def get_image( self ):
# Open the image
img_file = urllib.urlopen( self.path )
blob = Blob( img_file.read() )
image = Image( blob )
# Check if the whole image should be used and croped
# if necessary.
src_width = image.size().width()
src_height = image.size().height()
if self.width != src_width or self.height != src_height:
box = Geometry( self.width, self.height, self.x_min_src, self.y_min_src )
image.crop( box )
return image
def convert_split(srcfile='', dstpath='', truefile='', split='3x3', w=100, h=100):
"""
目前仅用作封面频道
"""
srcfile = srcfile.encode("utf-8")
dstpath = dstpath.encode("utf-8")
truefile = truefile.encode("utf-8")
(sp_x, sp_y) = split.split('x')
(file_name, image_ext) = os.path.splitext(os.path.basename(srcfile))
cw = int(sp_x) * int(w)
ch = int(sp_y) * int(h)
t1 = time.time()
#生成封面列表图
re = myGraphicsMagick.convert_gif_thumbnail_frame0_g(srcfile=srcfile, dstfile=truefile, w=cw, h=ch,
need_return=False)
if re == True:
#切割方式为从图片的左上开始逐行切割
#目标图片文件名为：50d8059b1a822.11.jpg
blobData = Blob(open(srcfile).read())
try:
num = 0#图片输出的编号
for j in range(int(sp_y)):
if ( num >= ( int( sp_x )*int( sp_y ) - 1 ) ):
break
for i in range(int(sp_x)):
img = Image( blobData, Geometry(cw,ch) )
linePos = i * int(w)
colsPos = j * int(h)
#从指定的像素点进行裁剪
img.crop( Geometry(w,h,linePos, colsPos) )
destFilename = dstpath+'/%s.%d.%s' %( file_name,num,image_ext )
img.profile("*",Blob())
img.write( destFilename )
num = num + 1
t2 = time.time()
sys.stdout.writelines(datetime.now().strftime('%Y-%m-%d %H:%M:%S ')+"libconvert appName:%s ver:%s cmdSN:%s type:%s cmdData:%s command : convert_split srcfile:%s dstfile:%s runTime:%s\n" % ( proto.protocal['appName'],proto.protocal['ver'],proto.protocal['cmdSN'],proto.protocal['type'],proto.protocal['cmdData'], srcfile,dstfile,(t2-t1)) )
sys.stdout.flush()
return ret
except Exception as e:
sys.stderr.writelines(datetime.now().strftime('%Y-%m-%d %H:%M:%S ')+"libconvert_split %s %s srcfile:%s destFilename:%s\n" % (e.args, e.message, srcfile,destFilename))
sys.stderr.flush()
return 'False'
else:
return "False"
pass
return 'True'
def execute(self, context):
downloaded_thumbnail = context["task_instance"].xcom_pull(
self.get_inputs_from)
if downloaded_thumbnail is None:
log.info("Nothing to process.")
return
log.info("downloaded_thumbnail: {}".format(downloaded_thumbnail))
img = Image(downloaded_thumbnail)
least_dim = min(int(img.columns()), int(img.rows()))
img.crop("{dim}x{dim}".format(dim=least_dim))
img.scale(self.thumb_size_x+'x'+self.thumb_size_y)
img.scale("{}x{}".format(self.thumb_size_x, self.thumb_size_y))
output_path = os.path.join(
os.path.dirname(downloaded_thumbnail), "thumbnail.jpeg")
img.write(output_path)
return output_path
def get_image( self ):
# Open the image
try:
img_file = urllib.urlopen( self.path )
except urllib.HTTPError as e:
raise ImageRetrievalError(self.path, "Error code: %s" % e.code)
except urllib.URLError as e:
raise ImageRetrievalError(self.path, e.reason)
blob = Blob( img_file.read() )
image = Image( blob )
# Check if the whole image should be used and cropped if necessary.
src_width = image.size().width()
src_height = image.size().height()
if self.width != src_width or self.height != src_height:
box = Geometry( self.width, self.height, self.x_min_src, self.y_min_src )
image.crop( box )
return image
def resize1( srcFile="", destFile="", w=200,h=200 ):
img = Image( srcFile )
#sw源图宽度
sw = img.columns()
sh = img.rows()
#要缩略的宽度
rw = w
#要缩略的高度
rh = h
#源图的宽高比
sratio = float(sw)/float(sh)
#目标图的宽高比
rratio = float(rw)/float(rh)
#若源图的宽高比大于目标图的宽高比时，则按照高进行缩放后再裁剪宽度
if ( sratio > rratio ):
hscale = float(rh)/float(sh)
w = sw*hscale
h = sh*hscale
#print (sw,sh,w,h,rw,rh,hscale)
#就高缩放
img.scale("%dx%d"%(w,h))
#计算裁剪宽的部分的横坐标,超出的宽的部分进行裁剪
tmpRowsPos = int((sw*hscale - rw)/2)
img.crop(Geometry( rw,rh,tmpRowsPos,0 ) )
#若源图的宽高比小于目标图的宽高比时，则按照宽进行缩放后再裁剪高度
else:
wscale = float(rw)/float(sw)
w = sw*wscale
h = sh*wscale
#print (sw,sh,w,h,rw,rh,wscale)
#就宽缩放
img.scale("%dx%d"%(w,h))
tmpColsPos = int((sh*wscale-rh)/2 )
img.crop( Geometry( rw,rh,0,tmpColsPos ) )
#只有宽大于目标宽度的时候才进行缩略
#elif ( sw > w ):
# pass
#unicodestring.encode("utf-8")
img.profile("*", Blob())
img.write(destFile)
return "True"
def resize1(srcFile="", destFile="", w=200, h=200):
img = Image(srcFile)
#sw源图宽度
sw = img.columns()
sh = img.rows()
#要缩略的宽度
rw = w
#要缩略的高度
rh = h
#源图的宽高比
sratio = float(sw) / float(sh)
#目标图的宽高比
rratio = float(rw) / float(rh)
#若源图的宽高比大于目标图的宽高比时，则按照高进行缩放后再裁剪宽度
if (sratio > rratio):
hscale = float(rh) / float(sh)
w = sw * hscale
h = sh * hscale
#print (sw,sh,w,h,rw,rh,hscale)
#就高缩放
img.scale("%dx%d" % (w, h))
#计算裁剪宽的部分的横坐标,超出的宽的部分进行裁剪
tmpRowsPos = int((sw * hscale - rw) / 2)
img.crop(Geometry(rw, rh, tmpRowsPos, 0))
#若源图的宽高比小于目标图的宽高比时，则按照宽进行缩放后再裁剪高度
else:
wscale = float(rw) / float(sw)
w = sw * wscale
h = sh * wscale
#print (sw,sh,w,h,rw,rh,wscale)
#就宽缩放
img.scale("%dx%d" % (w, h))
tmpColsPos = int((sh * wscale - rh) / 2)
img.crop(Geometry(rw, rh, 0, tmpColsPos))
#只有宽大于目标宽度的时候才进行缩略
#elif ( sw > w ):
# pass
#unicodestring.encode("utf-8")
img.profile("*", Blob())
img.write(destFile)
return "True"
def get_image(self):
# Open the image
try:
img_file = urllib.urlopen(self.path)
except urllib.HTTPError as e:
raise ImageRetrievalError(self.path, "Error code: %s" % e.code)
except urllib.URLError as e:
raise ImageRetrievalError(self.path, e.reason)
blob = Blob(img_file.read())
image = Image(blob)
# Check if the whole image should be used and cropped if necessary.
src_width = image.size().width()
src_height = image.size().height()
if self.width != src_width or self.height != src_height:
box = Geometry(self.width, self.height, self.x_min_src,
self.y_min_src)
image.crop(box)
return image
def resize5( srcFile="", destFile="", w=200,h=200 ):
#CONVERT_RESIZE_CROP = "%s -resize %d" + "x" + " -crop %d" + "x" + "%d" + "+0+0 +repage %s"
img = Image( srcFile )
sw = img.columns()
sh = img.rows()
#源图宽高比
sratio = float(sw)/float(sh)
#目标图宽高比
tratio = float(w)/float(h)
#若源图的宽高比大于目标图的宽高比，则
if( sratio == tratio and (w==sw) and (h==sh )):
img.profile("*",Blob())
img.write(destFile)
return "True"
elif ( sratio > tratio ):
hscale = float(w)/float(sw)
tw = sw*hscale
th = sh*hscale
img.scale("%dx"%(tw))
if ( th > h ):
img.crop(Geometry(w,h))
img.profile("*",Blob())
img.write(destFile)
return "True"
elif( sratio < tratio ):
wscale = float(w)/float(sw)
tw = int(sw*wscale)
th = int(sh*wscale)
#260 132 670 502 0.388059701493 260 194
img.scale("%dx%d"%(tw,th))
if ( th > h ):
img.crop(Geometry(w,h))
img.profile("*",Blob())
img.write(destFile)
return "True"
return "True"
def resize5(srcFile="", destFile="", w=200, h=200):
#CONVERT_RESIZE_CROP = "%s -resize %d" + "x" + " -crop %d" + "x" + "%d" + "+0+0 +repage %s"
img = Image(srcFile)
sw = img.columns()
sh = img.rows()
#源图宽高比
sratio = float(sw) / float(sh)
#目标图宽高比
tratio = float(w) / float(h)
#若源图的宽高比大于目标图的宽高比，则
if (sratio == tratio and (w == sw) and (h == sh)):
imb.profile("*", Blob())
img.write(destFile)
return "True"
elif (sratio > tratio):
hscale = float(w) / float(sw)
tw = sw * hscale
th = sh * hscale
img.scale("%dx" % (tw))
if (th > h):
img.crop(Geometry(w, h))
img.profile("*", Blob())
img.write(destFile)
return "True"
elif (sratio < tratio):
wscale = float(w) / float(sw)
tw = int(sw * wscale)
th = int(sh * wscale)
#260 132 670 502 0.388059701493 260 194
img.scale("%dx%d" % (tw, th))
if (th > h):
img.crop(Geometry(w, h))
img.profile("*", Blob())
img.write(destFile)
return "True"
return "True"
def enhanceImage(localpath):
"""Crop to 50%, and resize to original size
sharpen, save out to same image name
Returns True if image processing succeeds"""
try:
img = Image(localpath)
size = img.size()
geo = Geometry(round(size.width() * 0.5), round(size.height() * 0.5),
round(size.width() * 0.25), round(size.height() * 0.25))
img.crop(geo)
img.scale(size)
img.quality(80)
img.sharpen(1)
img.write(localpath)
print("Image written to %s" % localpath)
except:
return False
return True
def resize8(srcFile="", destFile="", w=200, h=200):
img = Image(srcFile)
#.def("extent", (void (Magick::Image::*)(const Magick::Geometry&, const Magick::Color&, const Magick::GravityType))&Magick::Image::extent)
#白色背景图
backImg = None
#sw源图宽度
sw = img.columns()
#sh源图高度
sh = img.rows()
#若目标图的宽或高都比源图大则不处理
if (sw <= w and sh <= h):
backImg = Image(Geometry(w, h), 'white')
backImg.composite(img, GravityType.CenterGravity,
co.OverCompositeOp)
backImg.profile("*", Blob())
backImg.write(destFile)
return "True"
#目标的宽或高都比源图的小则进行裁剪
elif (sw > w and sh > h):
#源图的宽高比
sratio = float(sw) / float(sh)
rratio = float(w) / float(h)
#若源图宽高比大于目标图的宽高比的话，则就高缩放，从0,0位置裁前源图宽
#print sratio,rratio
if (sratio > rratio):
hscale = float(h) / float(sh)
rw = int(sw * hscale)
rh = int(sh * hscale)
else:
wscale = float(w) / float(sw)
rw = int(sw * wscale)
rh = int(sh * wscale)
linePos = int((rw - w) / 2)
colPos = int((rh - h) / 2)
img.scale("%dx%d" % (rw, rh))
img.crop(Geometry(w, h, linePos, colPos))
img.profile("*", Blob())
img.write(destFile)
return "True"
elif (sw > w):
backImg = Image(Geometry(w, h), 'white')
img.crop(Geometry(w, sh, int((sw - w) / 2)))
backImg.composite(img, GravityType.CenterGravity,
co.OverCompositeOp)
backImg.profile("*", Blob())
backImg.write(destFile)
return "True"
elif (sh > h):
backImg = Image(Geometry(w, h), 'white')
img.crop(Geometry(sw, h, 0, int((sh - h) / 2)))
backImg.composite(img, GravityType.CenterGravity,
co.OverCompositeOp)
backImg.profile("*", Blob())
backImg.write(destFile)
return "True"
return "True"
def generate(self, source_path, small_thumb_path, large_thumb_path):
img = Image(source_path)
width = img.size().width()
height = img.size().height()
# Detect if we need to rotate the image by reading EXIF data
orientation = 0
if img.attribute("EXIF:Orientation") != "unknown":
try:
orientation = int(img.attribute("EXIF:Orientation"))
except ValueError:
print ("Invalid EXIF orientation, using default")
# Detect if we need to resize the large thumbnail
if width > LARGE_MAX_WIDTH:
height = int((float(height) / width) * LARGE_MAX_WIDTH)
width = LARGE_MAX_WIDTH
elif height > LARGE_MAX_HEIGHT:
width = int((float(width) / height) * LARGE_MAX_HEIGHT)
height = LARGE_MAX_HEIGHT
# Rescale the large thumbnail if dimensions doesn't match
if width != img.size().width() or height != img.size().height():
img.sample("!%sx%s" % (width, height))
# Rotate the image if needed
if orientation == 6:
img.rotate(90)
elif orientation == 8:
img.rotate(-90)
self.write_image(img, large_thumb_path)
# Crop the small thumbnail and then resize it to the correct size
img.crop("%sx%s" % (min(width, height), min(width, height)))
img.sample("%sx%s" % (SMALL_WIDTH_AND_HEIGHT, SMALL_WIDTH_AND_HEIGHT))
self.write_image(img, small_thumb_path)
def resize8( srcFile="", destFile="", w=200,h=200 ):
img = Image(srcFile)
#.def("extent", (void (Magick::Image::*)(const Magick::Geometry&, const Magick::Color&, const Magick::GravityType))&Magick::Image::extent)
#白色背景图
backImg = None
#sw源图宽度
sw = img.columns()
#sh源图高度
sh = img.rows()
#若目标图的宽或高都比源图大则不处理
if ( sw <= w and sh <= h ):
backImg = Image(Geometry(w,h), 'white' )
backImg.composite(img, GravityType.CenterGravity, co.OverCompositeOp)
backImg.profile("*",Blob())
backImg.write(destFile)
return "True"
#目标的宽或高都比源图的小则进行裁剪
elif ( sw > w and sh > h ):
#源图的宽高比
sratio = float(sw)/float(sh)
rratio = float(w)/float(h)
#若源图宽高比大于目标图的宽高比的话，则就高缩放，从0,0位置裁前源图宽
#print sratio,rratio
if ( sratio > rratio ):
hscale = float(h)/float(sh)
rw = int(sw*hscale)
rh = int(sh*hscale)
else:
wscale = float(w)/float(sw)
rw = int(sw*wscale)
rh = int(sh*wscale)
linePos = int( (rw-w)/2)
colPos = int( (rh-h)/2)
img.scale("%dx%d"%(rw,rh))
img.crop(Geometry(w,h,linePos,colPos))
img.profile("*",Blob())
img.write(destFile)
return "True"
elif ( sw > w ):
backImg = Image(Geometry(w,h), 'white' )
img.crop(Geometry(w,sh,int((sw-w)/2)))
backImg.composite(img,GravityType.CenterGravity,co.OverCompositeOp )
backImg.profile("*",Blob())
backImg.write(destFile)
return "True"
elif ( sh > h ):
backImg = Image(Geometry(w,h), 'white' )
img.crop( Geometry(sw,h,0,int((sh-h)/2) ) )
backImg.composite(img, GravityType.CenterGravity,co.OverCompositeOp )
backImg.profile("*",Blob())
backImg.write(destFile)
return "True"
return "True"
def resize7( srcFile="", destFile="", w=200,h=200 ):
img = Image(srcFile)
#白色背景图
backImg = None
#sw源图宽度
sw = img.columns()
#sh源图高度
sh = img.rows()
#若目标图的宽或高都比源图大则不处理
if ( sw <= w and sh <= h ):
backImg = Image(Geometry(w,h), 'white' )
backImg.composite(img, Geometry( sw, sh, 0, 0 ), co.OverCompositeOp)
backImg.profile("*",Blob())
backImg.write(destFile)
return "True"
#目标的宽或高都比源图的小则进行裁剪
elif ( sw > w and sh > h ):
#源图的宽高比
sratio = float(sw)/float(sh)
rratio = float(w)/float(h)
#若源图宽高比大于目标图的宽高比的话，则就高缩放，从0,0位置裁前源图宽
#print sratio,rratio
if ( sratio > rratio ):
hscale = float(h)/float(sh)
rw = int(sw*hscale)
rh = int(sh*hscale)
else:
wscale = float(w)/float(sw)
rw = int(sw*wscale)
rh = int(sh*wscale)
img.scale("%dx%d"%(rw,rh))
img.crop(Geometry(w,h,0,0))
img.profile("*",Blob())
img.write(destFile)
return "True"
elif ( sw > w ):
backImg = Image(Geometry(w,h), 'white' )
img.crop(Geometry(w,sh))
backImg.composite(img,Geometry(w,h,0,0),co.OverCompositeOp )
backImg.profile("*",Blob())
backImg.write(destFile)
return "True"
elif ( sh > h ):
backImg = Image(Geometry(w,h), 'white' )
img.crop( Geometry(sw,h) )
backImg.composite(img, Geometry(w,h,0,0),co.OverCompositeOp )
backImg.profile("*",Blob())
backImg.write(destFile)
return "True"
return "True"
def resize7(srcFile="", destFile="", w=200, h=200):
img = Image(srcFile)
#白色背景图
backImg = None
#sw源图宽度
sw = img.columns()
#sh源图高度
sh = img.rows()
#若目标图的宽或高都比源图大则不处理
if (sw <= w and sh <= h):
backImg = Image(Geometry(w, h), 'white')
backImg.composite(img, Geometry(sw, sh, 0, 0), co.OverCompositeOp)
backImg.profile("*", Blob())
backImg.write(destFile)
return "True"
#目标的宽或高都比源图的小则进行裁剪
elif (sw > w and sh > h):
#源图的宽高比
sratio = float(sw) / float(sh)
rratio = float(w) / float(h)
#若源图宽高比大于目标图的宽高比的话，则就高缩放，从0,0位置裁前源图宽
#print sratio,rratio
if (sratio > rratio):
hscale = float(h) / float(sh)
rw = int(sw * hscale)
rh = int(sh * hscale)
else:
wscale = float(w) / float(sw)
rw = int(sw * wscale)
rh = int(sh * wscale)
img.scale("%dx%d" % (rw, rh))
img.crop(Geometry(w, h, 0, 0))
img.profile("*", Blob())
img.write(destFile)
return "True"
elif (sw > w):
backImg = Image(Geometry(w, h), 'white')
img.crop(Geometry(w, sh))
backImg.composite(img, Geometry(w, h, 0, 0), co.OverCompositeOp)
backImg.profile("*", Blob())
backImg.write(destFile)
return "True"
elif (sh > h):
backImg = Image(Geometry(w, h), 'white')
img.crop(Geometry(sw, h))
backImg.composite(img, Geometry(w, h, 0, 0), co.OverCompositeOp)
backImg.profile("*", Blob())
backImg.write(destFile)
return "True"
return "True"
parser.add_argument('infiles', nargs='*', type=argparse.FileType('r'), default=sys.stdin)
parser.add_argument('-o', default="split%d.pnm")
args = parser.parse_args()
number = 0
outpattern = args.o
for file in args.infiles:
blob = Blob(file.read())
file.close()
# upper half
im = Image(blob)
width = im.columns()
height = im.rows() // 2
geo = Geometry( '%dx%d' % (width,height) )
im.crop(geo)
im.write(outpattern % number)
# lower half
im = Image(blob)
width = im.columns()
height = im.rows() // 2
geo = Geometry( '%dx%d+0+%d' % (width,height,height) )
im.crop(geo)
im.rotate(180)
im.write(outpattern % (number + 1))
number += 2
def export_area(x1, y1, z1, x2, y2, z2, chunks, assets, data):
if x1 > x2:
x1, x2 = x2, x1
if y1 > y2:
y1, y2 = y2, y1
if x1 > x2:
z1, z2 = z2, z1
cache = {}
unknow = Image(Geometry(16, 16), "fuchsia")
hardcoded = {
'minecraft:air': Color('white'),
'minecraft:cave_air': Color('black'),
'minecraft:water':
Color('blue'), # TODO use 'block/water_still' with #0080ff tint
'minecraft:lava': 'block/lava_still',
}
for x in hardcoded:
if isinstance(hardcoded[x], Color):
hardcoded[x] = Image(Geometry(16, 16), hardcoded[x])
else:
hardcoded[x] = Image("%s/textures/%s.png" %
(assets.directory, hardcoded[x]))
hardcoded[x].crop(Geometry(16, 16))
for y in range(y2 - y1):
img = Image(Geometry(16 * (x2 - x1), 16 * (z2 - z1)), 'transparent')
for z in range(z2 - z1):
for x in range(x2 - x1):
try:
i = None
sid = chunks.get_block_at(x + x1, y + y1, z + z1)
if sid in cache:
i = cache[sid]
else:
bloc = data.blocks_states[sid]
if bloc in hardcoded:
i = hardcoded[bloc]
else:
prop = data.blocks_properties[sid]
variant = assets.get_block_variant(bloc, prop)
if 'model' in variant:
faces = assets.get_faces_textures(
assets.get_model(variant['model']))
if 'up' in faces:
up = faces['up']
i = Image(
"%s/textures/%s.png" %
(assets.directory, up['texture']))
if "uv" in up:
pass # TODO
i.crop(Geometry(16, 16))
if "tintindex" in up:
tint = '#80ff00'
ti = Image(Geometry(16, 16), tint)
i.composite(
ti, 0, 0, CompositeOperator.
MultiplyCompositeOp)
if not i:
i = unknow
cache[sid] = i
img.composite(i, x * 16, z * 16,
CompositeOperator.OverCompositeOp)
except Exception:
continue
img.write("/tmp/slice_%d.png" % (y))
def convert_split(srcfile='',
dstpath='',
truefile='',
split='3x3',
w=100,
h=100):
"""
目前仅用作封面频道
"""
srcfile = srcfile.encode("utf-8")
dstpath = dstpath.encode("utf-8")
truefile = truefile.encode("utf-8")
(sp_x, sp_y) = split.split('x')
(file_name, image_ext) = os.path.splitext(os.path.basename(srcfile))
cw = int(sp_x) * int(w)
ch = int(sp_y) * int(h)
t1 = time.time()
#生成封面列表图
re = myGraphicsMagick10.convert_gif_thumbnail_frame0_g(
srcfile=srcfile, dstfile=truefile, w=cw, h=ch, need_return=False)
if re == True:
#切割方式为从图片的左上开始逐行切割
#目标图片文件名为：50d8059b1a822.11.jpg
blobData = Blob(open(srcfile).read())
try:
num = 0 #图片输出的编号
for j in range(int(sp_y)):
if (num >= (int(sp_x) * int(sp_y) - 1)):
break
for i in range(int(sp_x)):
img = Image(blobData, Geometry(cw, ch))
linePos = i * int(w)
colsPos = j * int(h)
#从指定的像素点进行裁剪
img.crop(Geometry(w, h, linePos, colsPos))
destFilename = dstpath + '/%s.%d.%s' % (file_name, num,
image_ext)
img.profile("*", Blob())
img.write(destFilename)
num = num + 1
t2 = time.time()
sys.stdout.writelines(
datetime.now().strftime('%Y-%m-%d %H:%M:%S ') +
"libconvert appName:%s ver:%s cmdSN:%s type:%s cmdData:%s command : convert_split srcfile:%s dstfile:%s runTime:%s\n"
% (proto.protocal['appName'], proto.protocal['ver'],
proto.protocal['cmdSN'], proto.protocal['type'],
proto.protocal['cmdData'], srcfile, dstfile, (t2 - t1)))
sys.stdout.flush()
return ret
except Exception as e:
sys.stderr.writelines(
datetime.now().strftime('%Y-%m-%d %H:%M:%S ') +
"libconvert_split %s %s srcfile:%s destFilename:%s\n" %
(e.args, e.message, srcfile, destFilename))
sys.stderr.flush()
return 'False'
else:
return "False"
pass
return 'True'