def resize5( srcFile="", destFile="", w=200,h=200 ):
imgs = ImageList()
outImgs = ImageList()
imgs.readImages( srcFile )
gifFrameLen = len( imgs )
#取得gif的第0帧
img = imgs.__getitem__( 0 )
#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)
if ( sw>w ):
imgs.scaleImages( "%dx"%w)
#
#??长大高小的图片处理问题:1600x94 转换为160x298按照宽度等比缩放
#??长大高小的图片处理问题:1600x94 转换为522x294
#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
else:
if ( sratio > rratio ):
hscale = float(rh)/float(sh)
w = int(sw*hscale)
h = int(sh*hscale)
#print (sw,sh,w,h,rw,rh,hscale)
#就高缩放
imgs.scaleImages( "%dx"%(w) )
#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 = int(sw*wscale)
h = int(sh*wscale)
#print (sw,sh,w,h,rw,rh,wscale)
#就宽缩放
imgs.scaleImages("%dx%d"%(w,h))
#缩放完后遍历裁剪
for i in range( gifFrameLen ):
tmpImg = imgs.__getitem__( i )
tmpImg.crop(Geometry( rw,rh,0,0 ) )
tmpImg.profile("*", Blob())
outImgs.append( tmpImg )
#(102, 900, 160, 1411, 160, 298)
#print( sw,sh,w,h,rw,rh)
if ( len( outImgs ) > 0 ):
outImgs.writeImages(destFile)
else:
imgs.writeImages(destFile)
return "True"
def resize5(srcFile="", destFile="", w=200, h=200):
imgs = ImageList()
outImgs = ImageList()
imgs.readImages(srcFile)
gifFrameLen = len(imgs)
#取得gif的第0帧
img = imgs.__getitem__(0)
#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)
if (sw > w):
imgs.scaleImages("%dx" % w)
#
#??长大高小的图片处理问题:1600x94 转换为160x298按照宽度等比缩放
#??长大高小的图片处理问题:1600x94 转换为522x294
#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
else:
if (sratio > rratio):
hscale = float(rh) / float(sh)
w = int(sw * hscale)
h = int(sh * hscale)
#print (sw,sh,w,h,rw,rh,hscale)
#就高缩放
imgs.scaleImages("%dx" % (w))
#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 = int(sw * wscale)
h = int(sh * wscale)
#print (sw,sh,w,h,rw,rh,wscale)
#就宽缩放
imgs.scaleImages("%dx%d" % (w, h))
#缩放完后遍历裁剪
for i in range(gifFrameLen):
tmpImg = imgs.__getitem__(i)
tmpImg.crop(Geometry(rw, rh, 0, 0))
tmpImg.profile("*", Blob())
outImgs.append(tmpImg)
#(102, 900, 160, 1411, 160, 298)
#print( sw,sh,w,h,rw,rh)
if (len(outImgs) > 0):
outImgs.writeImages(destFile)
else:
imgs.writeImages(destFile)
return "True"
def resize6( srcFile="", destFile="", w=200,h=200 ):
imgs = ImageList()
imgs.readImages(srcFile)
gifFrameLen = len(imgs)
#若只有一帧直接调用静态方法输出
if ( gifFrameLen == 1 ):
return staticPhoto.resize6(srcFile,destFile,w,h)
outImg = ImageList()
#取得第0帧
gifFrame0 = imgs.__getitem__(0)
#sw源图宽度
sw = gifFrame0.columns()
sh = gifFrame0.rows()
#如果宽高比大小于倍则转成静态图片
if ( int(sw/sh) > 5 ):
return staticPhoto.resize1(srcFile,destFile,w,h)
#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 = int(sw*hscale)
h = int(sh*hscale)
#print (sw,sh,w,h,rw,rh,hscale)
#就高缩放
imgs.scaleImages("%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)
#imgs.coalesceImags(Geometry( rw,rh,tmpRowsPos,0 ))
for i in range( gifFrameLen ):
tmpImg = imgs.__getitem__(i)
#print w,h,sw,sh,rw,rh,tmpRowsPos,i,gifFrameLen,tmpImg.columns(),tmpImg.rows()
#594 260 320 140 132 260 231 0 145 320 140
if ( sw == tmpImg.columns() and sh == tmpImg.rows() and tmpRowsPos > 0 ):
return staticPhoto.resize1(srcFile,destFile,rw,rh)
tmpImg.crop(Geometry( rw,rh,tmpRowsPos,0 ) )
tmpImg.profile("*", Blob())
outImg.append(tmpImg)
outImg.writeImages(destFile)
return "True"
#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 = int(sw*wscale)
h = int(sh*wscale)
#print (sw,sh,w,h,rw,rh,wscale)
#就宽缩放
imgs.scaleImages("%dx%d"%(w,h))
tmpColsPos = int((sh*wscale-rh)/2 )
for i in range(gifFrameLen):
if ( i == 0 ):
tmpImg = gifFrame0
else:
tmpImg = imgs.__getitem__(i)
if ( sw == tmpImg.columns() and sh == tmpImg.rows() and tmpColsPos > 0 ):
return staticPhoto.resize1(srcFile,destFile,rw,rh)
tmpImg.crop( Geometry( rw,rh,0,tmpColsPos ) )
tmpImg.profile("*", Blob())
outImg.append(tmpImg)
outImg.writeImages(destFile)
return "True"
return "True"
#imgFrame0 = Image( srcGifFrame0 )
#imgFrame1 = Image( srcGifFrame1 )
#imgFrame2 = Image( srcGifFrame2 )
#imgFrame2.write('aaaa.gif')
imgs = ImageList()
outImage = ImageList()
#imgs.append(imgFrame0)
#imgs.append(imgFrame1)
#imgs.append(imgFrame2)
#imgs.animationDelayImages(100)
a = ImageType()
imgs.readImages(srcGifFrame0)
imgs.scaleImages("550x550")
img = imgs.__getitem__(0)
print img.columns(), img.rows()
print len(imgs)
#imgs.animationDelayImages(100)
imgs.writeImages('./test.gif')
"""
from pgmagick import Image, ImageList, Geometry, Color
imgs = ImageList()
for color in ('red', 'blue', 'green', 'black', 'yellow'):
imgs.append(Image(Geometry(200, 200), Color(color)))
#imgFrame0 = Image( srcGifFrame0 )
#imgFrame1 = Image( srcGifFrame1 )
#imgFrame2 = Image( srcGifFrame2 )
#imgFrame2.write('aaaa.gif')
imgs = ImageList( )
outImage = ImageList()
#imgs.append(imgFrame0)
#imgs.append(imgFrame1)
#imgs.append(imgFrame2)
#imgs.animationDelayImages(100)
a = ImageType()
imgs.readImages(srcGifFrame0)
imgs.scaleImages( "550x550")
img = imgs.__getitem__( 0 )
print img.columns(),img.rows()
print len( imgs )
#imgs.animationDelayImages(100)
imgs.writeImages( './test.gif' )
"""
from pgmagick import Image, ImageList, Geometry, Color
imgs = ImageList()
for color in ('red', 'blue', 'green', 'black', 'yellow'):
def resize6(srcFile="", destFile="", w=200, h=200):
imgs = ImageList()
imgs.readImages(srcFile)
gifFrameLen = len(imgs)
#若只有一帧直接调用静态方法输出
if (gifFrameLen == 1):
return staticPhoto.resize6(srcFile, destFile, w, h)
outImg = ImageList()
#取得第0帧
gifFrame0 = imgs.__getitem__(0)
#sw源图宽度
sw = gifFrame0.columns()
sh = gifFrame0.rows()
#如果宽高比大小于倍则转成静态图片
if (int(sw / sh) > 5):
return staticPhoto.resize1(srcFile, destFile, w, h)
#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 = int(sw * hscale)
h = int(sh * hscale)
#print (sw,sh,w,h,rw,rh,hscale)
#就高缩放
imgs.scaleImages("%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)
#imgs.coalesceImags(Geometry( rw,rh,tmpRowsPos,0 ))
for i in range(gifFrameLen):
tmpImg = imgs.__getitem__(i)
#print w,h,sw,sh,rw,rh,tmpRowsPos,i,gifFrameLen,tmpImg.columns(),tmpImg.rows()
#594 260 320 140 132 260 231 0 145 320 140
if (sw == tmpImg.columns() and sh == tmpImg.rows()
and tmpRowsPos > 0):
return staticPhoto.resize1(srcFile, destFile, rw, rh)
tmpImg.crop(Geometry(rw, rh, tmpRowsPos, 0))
tmpImg.profile("*", Blob())
outImg.append(tmpImg)
outImg.writeImages(destFile)
return "True"
#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 = int(sw * wscale)
h = int(sh * wscale)
#print (sw,sh,w,h,rw,rh,wscale)
#就宽缩放
imgs.scaleImages("%dx%d" % (w, h))
tmpColsPos = int((sh * wscale - rh) / 2)
for i in range(gifFrameLen):
if (i == 0):
tmpImg = gifFrame0
else:
tmpImg = imgs.__getitem__(i)
if (sw == tmpImg.columns() and sh == tmpImg.rows()
and tmpColsPos > 0):
return staticPhoto.resize1(srcFile, destFile, rw, rh)
tmpImg.crop(Geometry(rw, rh, 0, tmpColsPos))
tmpImg.profile("*", Blob())
outImg.append(tmpImg)
outImg.writeImages(destFile)
return "True"
return "True"
