Python PyQt5.QtGui.QImage.Format_Indexed8() Examples
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code examples of PyQt5.QtGui.QImage.Format_Indexed8().
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Example #1
| Source File: MainWindow.py From Traffic-Rules-Violation-Detection with GNU General Public License v3.0 | 7 votes |
|
def toQImage(self, raw_img):
from numpy import copy
img = copy(raw_img)
qformat = QImage.Format_Indexed8
if len(img.shape) == 3:
if img.shape[2] == 4:
qformat = QImage.Format_RGBA8888
else:
qformat = QImage.Format_RGB888
outImg = QImage(img.tobytes(), img.shape[1], img.shape[0], img.strides[0], qformat)
outImg = outImg.rgbSwapped()
return outImg
Example #2
| Source File: gui_utilities.py From CvStudio with MIT License | 6 votes |
|
def array_to_qimage(im: np.ndarray, copy=False):
gray_color_table = [qRgb(i, i, i) for i in range(256)]
if im is None:
return QImage()
if im.dtype == np.uint8:
if len(im.shape) == 2:
qim = QImage(im.data, im.shape[1], im.shape[0], im.strides[0], QImage.Format_Indexed8)
qim.setColorTable(gray_color_table)
return qim.copy() if copy else qim
elif len(im.shape) == 3:
if im.shape[2] == 3:
qim = QImage(im.data, im.shape[1], im.shape[0], im.strides[0], QImage.Format_RGB888);
return qim.copy() if copy else qim
elif im.shape[2] == 4:
qim = QImage(im.data, im.shape[1], im.shape[0], im.strides[0], QImage.Format_ARGB32);
return qim.copy() if copy else qim
Example #3
| Source File: core.py From face_recognition_py with GNU General Public License v3.0 | 6 votes |
|
def displayImage(self, img, qlabel):
# BGR -> RGB
img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
# default：The image is stored using 8-bit indexes into a colormap， for example：a gray image
qformat = QImage.Format_Indexed8
if len(img.shape) == 3: # rows[0], cols[1], channels[2]
if img.shape[2] == 4:
# The image is stored using a 32-bit byte-ordered RGBA format (8-8-8-8)
# A: alpha channel，不透明度参数。如果一个像素的alpha通道数值为0%，那它就是完全透明的
qformat = QImage.Format_RGBA8888
else:
qformat = QImage.Format_RGB888
# img.shape[1]：图像宽度width，img.shape[0]：图像高度height，img.shape[2]：图像通道数
# QImage.__init__ (self, bytes data, int width, int height, int bytesPerLine, Format format)
# 从内存缓冲流获取img数据构造QImage类
# img.strides[0]：每行的字节数（width*3）,rgb为3，rgba为4
# strides[0]为最外层(即一个二维数组所占的字节长度)，strides[1]为次外层（即一维数组所占字节长度），strides[2]为最内层（即一个元素所占字节长度）
# 从里往外看，strides[2]为1个字节长度（uint8），strides[1]为3*1个字节长度（3即rgb 3个通道）
# strides[0]为width*3个字节长度，width代表一行有几个像素
outImage = QImage(img, img.shape[1], img.shape[0], img.strides[0], qformat)
qlabel.setPixmap(QPixmap.fromImage(outImage))
qlabel.setScaledContents(True) # 图片自适应大小
# 报警系统：是否允许设备响铃
Example #4
| Source File: ImageQt.py From teleport with Apache License 2.0 | 5 votes |
|
def _toqclass_helper(im):
data = None
colortable = None
# handle filename, if given instead of image name
if hasattr(im, "toUtf8"):
# FIXME - is this really the best way to do this?
im = str(im.toUtf8(), "utf-8")
if isPath(im):
im = Image.open(im)
if im.mode == "1":
format = QImage.Format_Mono
elif im.mode == "L":
format = QImage.Format_Indexed8
colortable = []
for i in range(256):
colortable.append(rgb(i, i, i))
elif im.mode == "P":
format = QImage.Format_Indexed8
colortable = []
palette = im.getpalette()
for i in range(0, len(palette), 3):
colortable.append(rgb(*palette[i : i + 3]))
elif im.mode == "RGB":
data = im.tobytes("raw", "BGRX")
format = QImage.Format_RGB32
elif im.mode == "RGBA":
try:
data = im.tobytes("raw", "BGRA")
except SystemError:
# workaround for earlier versions
r, g, b, a = im.split()
im = Image.merge("RGBA", (b, g, r, a))
format = QImage.Format_ARGB32
else:
raise ValueError("unsupported image mode %r" % im.mode)
__data = data or align8to32(im.tobytes(), im.size[0], im.mode)
return {"data": __data, "im": im, "format": format, "colortable": colortable}
Example #5
| Source File: ImageQt.py From teleport with Apache License 2.0 | 5 votes |
|
def _toqclass_helper(im):
data = None
colortable = None
# handle filename, if given instead of image name
if hasattr(im, "toUtf8"):
# FIXME - is this really the best way to do this?
im = str(im.toUtf8(), "utf-8")
if isPath(im):
im = Image.open(im)
if im.mode == "1":
format = QImage.Format_Mono
elif im.mode == "L":
format = QImage.Format_Indexed8
colortable = []
for i in range(256):
colortable.append(rgb(i, i, i))
elif im.mode == "P":
format = QImage.Format_Indexed8
colortable = []
palette = im.getpalette()
for i in range(0, len(palette), 3):
colortable.append(rgb(*palette[i : i + 3]))
elif im.mode == "RGB":
data = im.tobytes("raw", "BGRX")
format = QImage.Format_RGB32
elif im.mode == "RGBA":
try:
data = im.tobytes("raw", "BGRA")
except SystemError:
# workaround for earlier versions
r, g, b, a = im.split()
im = Image.merge("RGBA", (b, g, r, a))
format = QImage.Format_ARGB32
else:
raise ValueError("unsupported image mode %r" % im.mode)
__data = data or align8to32(im.tobytes(), im.size[0], im.mode)
return {"data": __data, "im": im, "format": format, "colortable": colortable}
Example #6
| Source File: dataRecord.py From face_recognition_py with GNU General Public License v3.0 | 5 votes |
|
def displayImage(self, img):
# BGR -> RGB
img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
# default：The image is stored using 8-bit indexes into a colormap， for example：a gray image
qformat = QImage.Format_Indexed8
if len(img.shape) == 3: # rows[0], cols[1], channels[2]
if img.shape[2] == 4:
# The image is stored using a 32-bit byte-ordered RGBA format (8-8-8-8)
# A: alpha channel，不透明度参数。如果一个像素的alpha通道数值为0%，那它就是完全透明的
qformat = QImage.Format_RGBA8888
else:
qformat = QImage.Format_RGB888
# img.shape[1]：图像宽度width，img.shape[0]：图像高度height，img.shape[2]：图像通道数
# QImage.__init__ (self, bytes data, int width, int height, int bytesPerLine, Format format)
# 从内存缓冲流获取img数据构造QImage类
# img.strides[0]：每行的字节数（width*3）,rgb为3，rgba为4
# strides[0]为最外层(即一个二维数组所占的字节长度)，strides[1]为次外层（即一维数组所占字节长度），strides[2]为最内层（即一个元素所占字节长度）
# 从里往外看，strides[2]为1个字节长度（uint8），strides[1]为3*1个字节长度（3即rgb 3个通道）
# strides[0]为width*3个字节长度，width代表一行有几个像素
outImage = QImage(img, img.shape[1], img.shape[0], img.strides[0], qformat)
self.faceDetectCaptureLabel.setPixmap(QPixmap.fromImage(outImage))
self.faceDetectCaptureLabel.setScaledContents(True)
# 初始化数据库
Example #7
| Source File: GetMaskParams.py From tierpsy-tracker with MIT License | 5 votes |
|
def _numpy2qimage(self, im_ori):
return QImage(im_ori.data, im_ori.shape[1], im_ori.shape[0],
im_ori.data.strides[0], QImage.Format_Indexed8)
Example #8
| Source File: ImageQt.py From FODI with GNU General Public License v3.0 | 5 votes |
|
def _toqclass_helper(im):
data = None
colortable = None
# handle filename, if given instead of image name
if hasattr(im, "toUtf8"):
# FIXME - is this really the best way to do this?
im = str(im.toUtf8(), "utf-8")
if isPath(im):
im = Image.open(im)
if im.mode == "1":
format = QImage.Format_Mono
elif im.mode == "L":
format = QImage.Format_Indexed8
colortable = []
for i in range(256):
colortable.append(rgb(i, i, i))
elif im.mode == "P":
format = QImage.Format_Indexed8
colortable = []
palette = im.getpalette()
for i in range(0, len(palette), 3):
colortable.append(rgb(*palette[i : i + 3]))
elif im.mode == "RGB":
data = im.tobytes("raw", "BGRX")
format = QImage.Format_RGB32
elif im.mode == "RGBA":
try:
data = im.tobytes("raw", "BGRA")
except SystemError:
# workaround for earlier versions
r, g, b, a = im.split()
im = Image.merge("RGBA", (b, g, r, a))
format = QImage.Format_ARGB32
else:
raise ValueError("unsupported image mode %r" % im.mode)
__data = data or align8to32(im.tobytes(), im.size[0], im.mode)
return {"data": __data, "im": im, "format": format, "colortable": colortable}
Example #9
| Source File: MainWindow.py From Traffic-Rules-Violation-Detection-System with GNU General Public License v3.0 | 5 votes |
|
def toQImage(self, raw_img):
from numpy import copy
img = copy(raw_img)
qformat = QImage.Format_Indexed8
if len(img.shape) == 3:
if img.shape[2] == 4:
qformat = QImage.Format_RGBA8888
else:
qformat = QImage.Format_RGB888
outImg = QImage(img.tobytes(), img.shape[1], img.shape[0], img.strides[0], qformat)
outImg = outImg.rgbSwapped()
return outImg
Example #10
| Source File: ImageQt.py From teleport with Apache License 2.0 | 4 votes |
|
def _toqclass_helper(im):
data = None
colortable = None
# handle filename, if given instead of image name
if hasattr(im, "toUtf8"):
# FIXME - is this really the best way to do this?
if py3:
im = str(im.toUtf8(), "utf-8")
else:
im = unicode(im.toUtf8(), "utf-8")
if isPath(im):
im = Image.open(im)
if im.mode == "1":
format = QImage.Format_Mono
elif im.mode == "L":
format = QImage.Format_Indexed8
colortable = []
for i in range(256):
colortable.append(rgb(i, i, i))
elif im.mode == "P":
format = QImage.Format_Indexed8
colortable = []
palette = im.getpalette()
for i in range(0, len(palette), 3):
colortable.append(rgb(*palette[i:i+3]))
elif im.mode == "RGB":
data = im.tobytes("raw", "BGRX")
format = QImage.Format_RGB32
elif im.mode == "RGBA":
try:
data = im.tobytes("raw", "BGRA")
except SystemError:
# workaround for earlier versions
r, g, b, a = im.split()
im = Image.merge("RGBA", (b, g, r, a))
format = QImage.Format_ARGB32
else:
raise ValueError("unsupported image mode %r" % im.mode)
__data = data or align8to32(im.tobytes(), im.size[0], im.mode)
return {
'data': __data, 'im': im, 'format': format, 'colortable': colortable
}
Example #11
| Source File: ImageQt.py From python3_ios with BSD 3-Clause "New" or "Revised" License | 4 votes |
|
def _toqclass_helper(im):
data = None
colortable = None
# handle filename, if given instead of image name
if hasattr(im, "toUtf8"):
# FIXME - is this really the best way to do this?
if py3:
im = str(im.toUtf8(), "utf-8")
else:
im = unicode(im.toUtf8(), "utf-8") # noqa: F821
if isPath(im):
im = Image.open(im)
if im.mode == "1":
format = QImage.Format_Mono
elif im.mode == "L":
format = QImage.Format_Indexed8
colortable = []
for i in range(256):
colortable.append(rgb(i, i, i))
elif im.mode == "P":
format = QImage.Format_Indexed8
colortable = []
palette = im.getpalette()
for i in range(0, len(palette), 3):
colortable.append(rgb(*palette[i:i+3]))
elif im.mode == "RGB":
data = im.tobytes("raw", "BGRX")
format = QImage.Format_RGB32
elif im.mode == "RGBA":
try:
data = im.tobytes("raw", "BGRA")
except SystemError:
# workaround for earlier versions
r, g, b, a = im.split()
im = Image.merge("RGBA", (b, g, r, a))
format = QImage.Format_ARGB32
else:
raise ValueError("unsupported image mode %r" % im.mode)
__data = data or align8to32(im.tobytes(), im.size[0], im.mode)
return {
'data': __data, 'im': im, 'format': format, 'colortable': colortable
}
Example #12
| Source File: TrackerViewerAux.py From tierpsy-tracker with MIT License | 4 votes |
|
def drawThreshMask(self, worm_img, worm_qimg, row_data, read_center=True):
#in very old versions of the tracker I didn't save the area in trajectories table,
#let's assign a default value to deal with this cases
if 'area' in row_data:
min_blob_area = row_data['area'] / 2
else:
min_blob_area = 10
c1, c2 = (row_data['coord_x'], row_data[
'coord_y']) if read_center else (-1, -1)
worm_mask, worm_cnt, _ = getWormMask(worm_img, row_data['threshold'], strel_size=self.strel_size,
roi_center_x=c1, roi_center_y=c2, min_blob_area=min_blob_area,
is_light_background = self.is_light_background)
worm_mask = QImage(
worm_mask.data,
worm_mask.shape[1],
worm_mask.shape[0],
worm_mask.strides[0],
QImage.Format_Indexed8)
worm_mask = worm_mask.convertToFormat(
QImage.Format_RGB32, Qt.AutoColor)
worm_mask = QPixmap.fromImage(worm_mask)
worm_mask = worm_mask.createMaskFromColor(Qt.black)
p = QPainter(worm_qimg)
p.setPen(QColor(0, 204, 102))
p.drawPixmap(worm_qimg.rect(), worm_mask, worm_mask.rect())
if False:
#test skeletonization
skeleton, ske_len, cnt_side1, cnt_side2, cnt_widths, cnt_area = \
getSkeleton(worm_cnt, np.zeros(0), 49)
for cnt in skeleton, cnt_side1, cnt_side2:
p.setPen(Qt.black)
polyline = QPolygonF()
for point in cnt:
polyline.append(QPointF(*point))
p.drawPolyline(polyline)
p.end()
Example #13
| Source File: ImageQt.py From lambda-text-extractor with Apache License 2.0 | 4 votes |
|
def _toqclass_helper(im):
data = None
colortable = None
# handle filename, if given instead of image name
if hasattr(im, "toUtf8"):
# FIXME - is this really the best way to do this?
if str is bytes:
im = unicode(im.toUtf8(), "utf-8")
else:
im = str(im.toUtf8(), "utf-8")
if isPath(im):
im = Image.open(im)
if im.mode == "1":
format = QImage.Format_Mono
elif im.mode == "L":
format = QImage.Format_Indexed8
colortable = []
for i in range(256):
colortable.append(rgb(i, i, i))
elif im.mode == "P":
format = QImage.Format_Indexed8
colortable = []
palette = im.getpalette()
for i in range(0, len(palette), 3):
colortable.append(rgb(*palette[i:i+3]))
elif im.mode == "RGB":
data = im.tobytes("raw", "BGRX")
format = QImage.Format_RGB32
elif im.mode == "RGBA":
try:
data = im.tobytes("raw", "BGRA")
except SystemError:
# workaround for earlier versions
r, g, b, a = im.split()
im = Image.merge("RGBA", (b, g, r, a))
format = QImage.Format_ARGB32
else:
raise ValueError("unsupported image mode %r" % im.mode)
__data = data or align8to32(im.tobytes(), im.size[0], im.mode)
return {
'data': __data, 'im': im, 'format': format, 'colortable': colortable
}
Example #14
| Source File: ImageQt.py From lambda-text-extractor with Apache License 2.0 | 4 votes |
|
def _toqclass_helper(im):
data = None
colortable = None
# handle filename, if given instead of image name
if hasattr(im, "toUtf8"):
# FIXME - is this really the best way to do this?
if str is bytes:
im = unicode(im.toUtf8(), "utf-8")
else:
im = str(im.toUtf8(), "utf-8")
if isPath(im):
im = Image.open(im)
if im.mode == "1":
format = QImage.Format_Mono
elif im.mode == "L":
format = QImage.Format_Indexed8
colortable = []
for i in range(256):
colortable.append(rgb(i, i, i))
elif im.mode == "P":
format = QImage.Format_Indexed8
colortable = []
palette = im.getpalette()
for i in range(0, len(palette), 3):
colortable.append(rgb(*palette[i:i+3]))
elif im.mode == "RGB":
data = im.tobytes("raw", "BGRX")
format = QImage.Format_RGB32
elif im.mode == "RGBA":
try:
data = im.tobytes("raw", "BGRA")
except SystemError:
# workaround for earlier versions
r, g, b, a = im.split()
im = Image.merge("RGBA", (b, g, r, a))
format = QImage.Format_ARGB32
else:
raise ValueError("unsupported image mode %r" % im.mode)
__data = data or align8to32(im.tobytes(), im.size[0], im.mode)
return {
'data': __data, 'im': im, 'format': format, 'colortable': colortable
}
