def run(self):
self.cap = cv2.VideoCapture(0)
while self.status:
cascade = cv2.CascadeClassifier(self.trained_file)
ret, frame = self.cap.read()
if not ret:
continue
# Reading frame in gray scale to process the pattern
gray_frame = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
detections = cascade.detectMultiScale(gray_frame, scaleFactor=1.1,
minNeighbors=5, minSize=(30, 30))
# Drawing green rectangle around the pattern
for (x, y, w, h) in detections:
pos_ori = (x, y)
pos_end = (x + w, y + h)
color = (0, 255, 0)
cv2.rectangle(frame, pos_ori, pos_end, color, 2)
# Reading the image in RGB to display it
color_frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
# Creating and scaling QImage
h, w, ch = color_frame.shape
img = QImage(color_frame.data, w, h, ch * w, QImage.Format_RGB888)
scaled_img = img.scaled(640, 480, Qt.KeepAspectRatio)
# Emit signal
self.updateFrame.emit(scaled_img)
sys.exit(-1)
class ImageMediaView(MediaView):
def __init__(self, media, parent):
super(ImageMediaView, self).__init__(media, parent)
self.widget = QLabel(parent)
self.widget.setGeometry(media['geometry'])
self.img = QImage()
self.set_default_widget_prop()
@Slot()
def play(self):
self.finished = 0
path = '%s/%s' % (self.save_dir, self.options['uri'])
rect = self.widget.geometry()
self.img.load(path)
self.img = self.img.scaled(rect.width(), rect.height(),
Qt.IgnoreAspectRatio,
Qt.SmoothTransformation)
self.widget.setPixmap(QPixmap.fromImage(self.img))
self.widget.show()
self.widget.raise_()
if float(self.duration) > 0:
self.play_timer.setInterval(int(float(self.duration) * 1000))
self.play_timer.start()
self.started_signal.emit()
@Slot()
def stop(self, delete_widget=False):
#---- kong ----
if not self.widget:
return False
del self.img
self.img = QImage()
#----
super(ImageMediaView, self).stop(delete_widget)
return True
def draw(self, qp):
qp.setWindow(0, 0, self.width(), self.height()) # 设置窗口
qp.setRenderHint(QPainter.SmoothPixmapTransform)
# 画框架背景
qp.setBrush(QColor('#cecece')) # 框架背景色
qp.setPen(Qt.NoPen)
rect = QRect(0, 0, self.width(), self.height())
qp.drawRect(rect)
sw, sh = self.width(), self.height() # 图像窗口宽高
if not self.opened:
qp.drawPixmap(sw / 2 - 100, sh / 2 - 100, 200, 200,
QPixmap('img/video.svg'))
# 画图
if self.opened and self.image is not None:
ih, iw, _ = self.image.shape
self.scale = sw / iw if sw / iw < sh / ih else sh / ih # 缩放比例
px = round((sw - iw * self.scale) / 2)
py = round((sh - ih * self.scale) / 2)
qimage = QImage(self.image.data, iw, ih, 3 * iw,
QImage.Format_RGB888) # 转QImage
qpixmap = QPixmap.fromImage(
qimage.scaled(sw, sh, Qt.KeepAspectRatio)) # 转QPixmap
pw, ph = qpixmap.width(), qpixmap.height() # 缩放后的QPixmap大小
qp.drawPixmap(px, py, qpixmap)
font = QFont()
font.setFamily('Microsoft YaHei')
if self.fps > 0:
font.setPointSize(14)
qp.setFont(font)
pen = QPen()
pen.setColor(Qt.white)
qp.setPen(pen)
qp.drawText(sw - px - 130, py + 40,
'FPS: ' + str(round(self.fps, 2)))
# 画目标框
pen = QPen()
pen.setWidth(2) # 边框宽度
for obj in self.objects:
font.setPointSize(10)
qp.setFont(font)
rgb = [round(c) for c in obj['color']]
pen.setColor(QColor(rgb[0], rgb[1], rgb[2])) # 边框颜色
brush1 = QBrush(Qt.NoBrush) # 内部不填充
qp.setBrush(brush1)
qp.setPen(pen)
# 坐标 宽高
ox, oy = px + round(pw * obj['x']), py + round(ph * obj['y'])
ow, oh = round(pw * obj['w']), round(ph * obj['h'])
obj_rect = QRect(ox, oy, ow, oh)
qp.drawRect(obj_rect) # 画矩形框
# 画 类别 和 置信度
qp.drawText(
ox, oy - 5,
str(obj['class']) + str(round(obj['confidence'], 2)))
def check_camera_ip_ui(ipaddr: str, label: QLabel):
'''
Checks if the given String is a valid ip-address which leads to a camera-/image-stream.
If that is the case the downloaded image will be applied to the given label.
Args:
ipaddr (str) : The ipaddr which should be tested.
label (QLabel) : The QLabel which should display the downloaded image.
Returns:
True, if an image was successfully downloaded and applied to the label.
False otherwise.
'''
valid = False
lw = label.width()
#connect to stream
cap = cv2.VideoCapture(ipaddr)
ret, frame = cap.read()
if (ret):
#process image
rgbImage = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
h, w, ch = rgbImage.shape
bytesPerLine = ch * w
#convert to fit into label
convertToQtFormat = QImage(rgbImage.data, w, h, bytesPerLine,
QImage.Format_RGB888)
p = convertToQtFormat.scaled(lw, 480, Qt.KeepAspectRatio)
label.setPixmap(QPixmap(p))
valid = True
return valid
class AppWindows(QMainWindow):
def __init__(self):
super(AppWindows, self).__init__()
self.setWindowTitle("Darts Scorer powered by Jcigi")
self.resize(1000, 1000)
self.widget = QWidget()
self.main_layout = QVBoxLayout()
self.widget.setLayout(self.main_layout)
self.setCentralWidget(self.widget)
self.background_image = QImage("images/gdc_logo_uj.png")
self.image_rect = QRect()
# A menus.py definiálja a menüpontokat
create_menus(self)
def paintEvent(self, e):
painter = QPainter()
painter.begin(self)
self.drawWidget(painter)
painter.end()
def drawWidget(self, painter):
rect = self.rect()
hatter = self.background_image.scaled(
QSize(rect.width(), rect.height()), Qt.KeepAspectRatio,
Qt.SmoothTransformation)
self.image_rect.setRect(rect.x(), rect.y(), hatter.width(),
hatter.height())
self.image_rect.moveCenter(rect.center())
painter.setOpacity(0.05)
painter.drawImage(self.image_rect, QImage(hatter))
@Slot()
def exit_app(self):
QApplication.quit()
@Slot()
def new_game(self):
self.new_game_window = GameWindowDialog(self)
self.settings_window = GameSettingsDialog(self)
self.new_game_window.show()
self.settings_window.show()
@Slot()
def network_settings(self):
self.network_settings_window = NetworkSettingsDialog(self)
self.network_settings_window.show()
@Slot()
def match_history(self):
self.match_history_window = MatchStatWindow(self)
self.match_history_window.show()
@Slot()
def select_torna(self):
self.new_game_window = GameWindowDialog(self, place="network")
self.select_merkozes_window = SelectMatchWindow(self)
self.new_game_window.show()
self.select_merkozes_window.show()
def display_video_stream(self):
_, frame = self.capture.read()
frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
# frame = cv2.flip(frame, 1)
image = QImage(frame, frame.shape[1], frame.shape[0],
frame.strides[0], QImage.Format_RGB888)
scaled_image = image.scaled(self.video_size)
self.image_label.setPixmap(QPixmap.fromImage(scaled_image))
self.parent_node_instance.video_picture_updated(frame)
def draw(self, qp):
qp.setWindow(0, 0, self.width(), self.height()) # 设置窗口
# 画框架背景
qp.setBrush(QColor('#cecece')) # 框架背景色
qp.setPen(Qt.NoPen)
rect = QRect(0, 0, self.width(), self.height())
qp.drawRect(rect)
sw, sh = self.width(), self.height() # 图像窗口宽高
pw, ph = 0, 0 # 缩放后的QPixmap大小
# 画图
yh = 0
if self.image is not None:
ih, iw, _ = self.image.shape
self.scale = sw / iw if sw / iw < sh / ih else sh / ih # 缩放比例
yh = round((self.height() - ih * self.scale) / 2)
qimage = QImage(self.image.data, iw, ih, 3 * iw,
QImage.Format_RGB888) # 转QImage
qpixmap = QPixmap.fromImage(
qimage.scaled(self.width(), self.height(),
Qt.KeepAspectRatio)) # 转QPixmap
pw, ph = qpixmap.width(), qpixmap.height()
qp.drawPixmap(0, yh, qpixmap)
font = QFont()
font.setFamily('Microsoft YaHei')
if self.fps > 0:
font.setPointSize(14)
qp.setFont(font)
pen = QPen()
pen.setColor(Qt.white)
qp.setPen(pen)
qp.drawText(self.width() - 150, yh + 40,
'FPS: ' + str(round(self.fps, 2)))
# 画目标框
pen = QPen()
pen.setWidth(2) # 边框宽度
for obj in self.objects:
font.setPointSize(10)
qp.setFont(font)
rgb = [round(c) for c in obj['color']]
pen.setColor(QColor(rgb[0], rgb[1], rgb[2])) # 边框颜色
brush1 = QBrush(Qt.NoBrush) # 内部不填充
qp.setBrush(brush1)
qp.setPen(pen)
# 坐标 宽高
tx, ty = round(pw * obj['x']), yh + round(ph * obj['y'])
tw, th = round(pw * obj['w']), round(ph * obj['h'])
obj_rect = QRect(tx, ty, tw, th)
qp.drawRect(obj_rect) # 画矩形框
# 画 类别 和 置信度
qp.drawText(tx, ty - 5,
str(obj['class']) + str(round(obj['confidence'], 2)))
def _read_image(self, path: Path) -> Optional[QImage]:
data = self._read_file(path)
if data:
image = QImage()
image.loadFromData(data, path.suffix[1:])
max_size = QSize(600, 400)
image_size = image.size()
if image_size.width() > max_size.width() or image_size.height(
) > max_size.height():
image = image.scaled(max_size,
Qt.AspectRatioMode.KeepAspectRatio)
return image
def as_image(self, tile_length=8):
if tile_length not in self.cached_tiles.keys():
width = height = tile_length
image = QImage(self.pixels, self.WIDTH, self.HEIGHT,
QImage.Format_RGB888)
image = image.scaled(width, height)
self.cached_tiles[tile_length] = image
return self.cached_tiles[tile_length]
def requestImage(self, url, size, requestedSize):
url = QUrl(url)
image = QImage(url.toLocalFile())
width, height = image.width(), image.height()
if size:
size.setWidth(width)
size.setHeight(height)
if requestedSize.width() > 0:
width = requestedSize.width()
if requestedSize.height() > 0:
height = requestedSize.height()
return image.scaled(min(width, THUMBNAIL_SIZE),
min(height, THUMBNAIL_SIZE), Qt.KeepAspectRatio)
def requestImage(self, url, size, requestedSize):
url = QUrl(url)
image = QImage(url.toLocalFile())
width, height = image.width(), image.height()
if size:
size.setWidth(width)
size.setHeight(height)
if requestedSize.width() > 0:
width = requestedSize.width()
if requestedSize.height() > 0:
height = requestedSize.height()
return image.scaled(min(width, THUMBNAIL_SIZE),
min(height, THUMBNAIL_SIZE), Qt.KeepAspectRatio)
def show_image(self, cv_image):
self.resize(200, 200)
rgb_image = cv2.cvtColor(cv_image, cv2.COLOR_BGR2RGB)
h, w, ch = rgb_image.shape
bytes_per_line = ch * w
qt_image = QImage(rgb_image.data, w, h, bytes_per_line, QImage.Format_RGB888)
img_w = qt_image.width()
img_h = qt_image.height()
proportion = img_w / img_h
self.resize(self.width() * proportion, self.height())
qt_image = qt_image.scaled(self.width(), self.height())
self.setPixmap(QPixmap(qt_image))
self.parent_node_instance.update_shape()
def local_diagnosis(self):
self.ui.pb_local_diagnosis.setEnabled(False)
self.ui.pb_real_time_diagnosis.setEnabled(False) # 同一时间只能进行一种诊断
file_path, _ = QFileDialog.getOpenFileName(self, '选择数据', '.',
'(*.mat)')
if '' == file_path: # 没有选择文件，也就是退出了本地诊断
self.ui.pb_real_time_diagnosis.setEnabled(True)
self.ui.pb_local_diagnosis.setEnabled(True)
return
text = self.ui.tb_diagnosis_result.toPlainText()
self.ui.tb_diagnosis_result.setText(text + '\n选择文件：' + file_path +
'\n--------------')
if '' == self.model_file_path: # 没有选择过模型
reply = QMessageBox.information(self, '提示', '你还没有选择模型哦！',
QMessageBox.Yes, QMessageBox.Yes)
if QMessageBox.Yes == reply:
self.ui.pb_real_time_diagnosis.setEnabled(True)
self.ui.pb_local_diagnosis.setEnabled(True)
return
text = self.ui.tb_diagnosis_result.toPlainText()
self.ui.tb_diagnosis_result.setText(text +
'\n本地诊断：正在读取数据...\n--------------')
# 读取完数据后，自动可视化数据
visual_data_pic_path = visual_data(file_path, self.cache_path)
# 读取图片文件，进行显示
img = QImage(visual_data_pic_path)
img_result = img.scaled(
self.ui.l_visual_diagnosis_data.width(),
self.ui.l_visual_diagnosis_data.height(), # 裁剪图片将图片大小
Qt.IgnoreAspectRatio,
Qt.SmoothTransformation)
self.ui.l_visual_diagnosis_data.setPixmap(
QPixmap.fromImage(img_result))
text = self.ui.tb_diagnosis_result.toPlainText()
self.ui.tb_diagnosis_result.setText(text +
'\n实时诊断：正在诊断..\n--------------')
# 开个子线程进行故障诊断
diagnosis_end_signal.send_msg.connect(
self.diagnosis_end_slot) # 信号与槽连接
diagnosis_thread = threading.Thread(target=fault_diagnosis,
args=(self.model_file_path,
file_path))
diagnosis_thread.start()
def _writeFrame(self, surface: QImage):
w = self.stream.width
h = self.stream.height
surface = surface.scaled(w, h) if self.scale else surface.copy()
# Draw the mouse pointer. Render mouse clicks?
p = QPainter(surface)
p.setBrush(QColor.fromRgb(255, 255, 0, 180))
(x, y) = self.mouse
p.drawEllipse(x, y, 5, 5)
p.end()
# Output frame.
frame = av.VideoFrame.from_image(ImageQt.fromqimage(surface))
for packet in self.stream.encode(frame):
if self.progress:
self.progress()
self.mp4.mux(packet)
def real_time_diagnosis(self):
self.ui.pb_real_time_diagnosis.setEnabled(False)
self.ui.pb_local_diagnosis.setEnabled(False) # 同一时间只能进行一种诊断
if '' == self.model_file_path: # 没有选择过模型
reply = QMessageBox.information(self, '提示', '你还没有选择模型哦！',
QMessageBox.Yes, QMessageBox.Yes)
if QMessageBox.Yes == reply:
self.ui.pb_real_time_diagnosis.setEnabled(True)
self.ui.pb_local_diagnosis.setEnabled(True)
return
text = self.ui.tb_diagnosis_result.toPlainText()
self.ui.tb_diagnosis_result.setText(text +
'\n实时诊断：正在采集数据...\n--------------')
# TODO: 这里通过读取指定的文件夹数据来模拟实时采集数据
real_time_data_path = os.getcwd(
) + '/real_time_data/0HP/48k_Drive_End_B007_0_122.mat'
# 读取完数据后，自动可视化数据
visual_data_pic_path = visual_data(real_time_data_path,
self.cache_path)
# 读取图片文件，进行显示
img = QImage(visual_data_pic_path)
img_result = img.scaled(
self.ui.l_visual_diagnosis_data.width(),
self.ui.l_visual_diagnosis_data.height(), # 裁剪图片将图片大小
Qt.IgnoreAspectRatio,
Qt.SmoothTransformation)
self.ui.l_visual_diagnosis_data.setPixmap(
QPixmap.fromImage(img_result))
text = self.ui.tb_diagnosis_result.toPlainText()
self.ui.tb_diagnosis_result.setText(text +
'\n实时诊断：正在诊断..\n--------------')
# 开个子线程进行故障诊断
diagnosis_end_signal.send_msg.connect(
self.diagnosis_end_slot) # 信号与槽连接
diagnosis_thread = threading.Thread(target=fault_diagnosis,
args=(self.model_file_path,
real_time_data_path))
diagnosis_thread.start()
def run(self):
print('Listening to camera stream')
while self.enabled:
frame = self.footage_socket.recv()
imgBuff = np.frombuffer(frame, dtype=np.uint8)
img = cv2.imdecode(imgBuff, cv2.IMREAD_COLOR)
if self.record_output:
self.video_writer.write(img)
if self.enabled:
rgbImage = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
h, w, ch = rgbImage.shape
bytesPerLine = ch * w
convertToQtFormat = QImage(rgbImage.data, w, h, bytesPerLine,
QImage.Format_RGB888)
p = convertToQtFormat.scaled(640, 480, Qt.KeepAspectRatio)
self.changePixmap.emit(p)
if self.record_output:
self.StopRecording()
def emit_qframes(frames, qframes):
"""
Emit some number of stream frames, depending on cameras quantity
Should do it through QFrame objects, defined above
Don't forget to connect QFrame objects to PyQt slots in widgets!
:param frames: dictionary of frames in format of {camera:frame}
:param qframes: dictionary of qframes in the same format as frames
"""
for camera in frames:
# converting to RGB
rgb_image = cv2.cvtColor(frames[camera], cv2.COLOR_BGR2RGB)
h, w, ch = rgb_image.shape
# converting to QImage
qpicture = QImage(rgb_image.data, w, h, ch * w, QImage.Format_RGB888)
# scaling QImage to resolution
scaled_qpicture = qpicture.scaled(width, height, Qt.KeepAspectRatio)
# emitting the picture
qframes[camera].signal.emit(scaled_qpicture)
class QLayerImage(QLayer):
"""
QLayer containing its own source image
"""
@classmethod
def fromImage(cls, mImg, parentImage=None, sourceImg=None):
layer = QLayerImage(QImg=mImg, parentImage=parentImage)
layer.parentImage = parentImage
layer.sourceImg = sourceImg
return layer
def __init__(self, *args, **kwargs):
self.sourceImg = QImage()
super().__init__(*args, **kwargs)
def bTransformed(self, transformation, parentImage):
"""
Applies transformation to a copy of layer and returns the copy.
@param transformation:
@type transformation: QTransform
@param parentImage:
@type parentImage: vImage
@return: transformed layer
@rtype: QLayerImage
"""
tLayer = super().bTransformed(transformation, parentImage)
if tLayer.tool is not None:
tLayer.tool.layer = tLayer
tLayer.tool.img = tLayer.parentImage
return tLayer
def inputImg(self, redo=True):
"""
Overrides QLayer.inputImg()
@return:
@rtype: QImage
"""
return self.sourceImg.scaled(self.getCurrentImage().size())
def visual_data(self):
self.ui.pb_visual_data.setEnabled(False)
if '' == self.data_file_path: # 没有选择过文件
reply = QMessageBox.information(self, '提示', '请先选择文件！',
QMessageBox.Yes, QMessageBox.Yes)
if reply == QMessageBox.Yes:
self.ui.pb_visual_data.setEnabled(True)
return # 直接退出
visual_data_pic_path = visual_data(self.data_file_path,
self.cache_path)
# 读取图片文件，进行显示
img = QImage(visual_data_pic_path)
img_result = img.scaled(
self.ui.l_visual_data.width(),
self.ui.l_visual_data.height(), # 裁剪图片将图片大小
Qt.IgnoreAspectRatio, # 保持长宽比例
Qt.SmoothTransformation # 平滑处理，使图片不失真
)
self.ui.l_visual_data.setPixmap(QPixmap.fromImage(img_result))
self.ui.pb_visual_data.setEnabled(True)
def setBackgroundImage(self):
img = QImage(QSize(256, 256), QImage.Format_ARGB32)
img.fill(QColor(100, 100, 100))
a = np.arange(256)
buf = np.meshgrid(a, a)
buf1 = QImageBuffer(img)[:, :, :3][:, :, ::-1]
buf1[:, :, 0], buf1[:, :, 1] = buf
buf1[:, :, 2] = 1
buf2 = np.tensordot(buf1, self.invM, axes=(-1, -1)) * 255
np.clip(buf2, 0, 255, out=buf2)
buf1[...] = buf2
img = img.scaled(self.cwSize, self.cwSize)
qp = QPainter(img)
# draw edges
qp.drawLine(self.R, self.G)
qp.drawLine(self.G, self.B)
qp.drawLine(self.B, self.R)
# draw center
b = (self.B + self.R + self.G) / 3.0
qp.drawLine(b-QPointF(10, 0), b + QPointF(10, 0))
qp.drawLine(b - QPointF(0, 10), b + QPointF(0, 10))
qp.end()
self.scene().addItem(QGraphicsPixmapItem(QPixmap.fromImage(img)))
def run(self):
while True and self.play:
# start = time.time()
while self.pause:
pass
if self.change_frame_number_flg:
self.cap.set(cv2.CAP_PROP_POS_FRAMES, int(self.new_frame_number))
print("cap setting inside while")
self.change_frame_number_flg=False
ret, frame = self.cap.read()
if ret:
rgbImage = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
# print(rgbImage.shape)
h, w, ch = rgbImage.shape
bytesPerLine = ch * w
convertToQtFormat = QImage(rgbImage.data, w, h, bytesPerLine, QImage.Format_RGB888)
# p = convertToQtFormat.scaled(720, 405, Qt.KeepAspectRatio)
p = convertToQtFormat.scaled(720,405, Qt.KeepAspectRatio)
self.changePixmap.emit(p)
self.msleep(self.sleep_duration)
class Scribble(QWidget):
def __init__(self, parent=None, scribbleImagePath=""):
QWidget.__init__(self, parent)
self.show()
self.raise_()
# Available space to display on
self.imageAreaWidth = 0
self.imageAreaHeight = 0
# Real number of pixels (unscaled)
self.scribbleWidth = 1
self.scribbleHeight = 1
# Scaling factor between the real image size and the size after scaling to fit the imageArea
self.scaleFactor = 1.0
self.scribbling = False # if scribbling at this time and moment
self.penMoved = False # if the pen already moved while scribbling
self.myPenWidth = 1
self.myPenColor = QColor(0, 0, 255, 255)
self.lastPoint = None
self.scribbleImagePath = scribbleImagePath
self.image = None
def refreshScribble(self, width, height):
self.imageAreaWidth = width
self.imageAreaHeight = height
self.setGeometry(0, 0, self.imageAreaWidth, self.imageAreaHeight)
def setColor(self, color): # QColor object
self.myPenColor = color
def setPenSize(self, size):
self.myPenWidth = size
def mousePressEvent(self, event):
if event.button() == Qt.LeftButton:
self.lastPoint = event.pos()
self.scribbling = True
self.penMoved = False
def mouseMoveEvent(self, event):
if self.scribbling:
self.drawLineTo(event.pos())
self.penMoved = True
def mouseReleaseEvent(self, event):
if event.button() == Qt.LeftButton and self.scribbling:
self.drawLineTo(event.pos())
if self.myPenColor == QColor(255, 0, 0, 255):
self.drawCircle(event.pos())
self.scribbling = False
self.penMoved = False
def setupScribble(self, width, height):
self.scribbleWidth = width
self.scribbleHeight = height
if self.scribbleImagePath == "":
self.image = QImage(self.scribbleWidth, self.scribbleHeight,
QImage.Format_ARGB32)
# print(self.image.depth()) # prints 32
self.image.fill(qRgba(0, 0, 0, 0))
else:
self.image = QImage(self.scribbleImagePath)
self.image = self.image.convertToFormat(QImage.Format_ARGB32)
self.update()
def drawCircle(self, point):
painter = QPainter(self.image)
painter.setCompositionMode(QPainter.CompositionMode_Source)
painter.setRenderHint(QPainter.Antialiasing)
brush = QBrush(QColor(0, 0, 255, 255), Qt.SolidPattern)
pen = QPen(brush, 0.2 * self.myPenWidth / self.scaleFactor,
Qt.SolidLine, Qt.RoundCap, Qt.RoundJoin)
painter.setPen(pen)
radius = 1.5 * self.myPenWidth / self.scaleFactor
rectangle = QRectF((point.x() / self.scaleFactor) - (radius / 2),
(point.y() / self.scaleFactor) - (radius / 2),
radius, radius)
painter.drawEllipse(rectangle)
self.update()
def drawLineTo(self, endPoint):
if not self.penMoved:
endPoint.setX(
endPoint.x() + 1
) # ensures a dot is being drawn if there was just a click and no mouse move
painter = QPainter(self.image)
painter.setCompositionMode(QPainter.CompositionMode_Source)
painter.setRenderHint(QPainter.Antialiasing)
brush = QBrush(self.myPenColor, Qt.SolidPattern)
pen = QPen(brush, self.myPenWidth / self.scaleFactor, Qt.SolidLine,
Qt.RoundCap, Qt.RoundJoin)
# pen = QPen(self.myPenColor, self.myPenWidth, Qt.SolidLine, Qt.RoundCap, Qt.RoundJoin)
painter.setPen(pen)
painter.drawLine(self.lastPoint / self.scaleFactor,
endPoint / self.scaleFactor)
self.update()
self.lastPoint = endPoint
def paintEvent(self, event):
painter = QPainter(self)
dirtyRect = event.rect()
scaledImage = self.image.scaled(self.imageAreaWidth,
self.imageAreaHeight,
Qt.KeepAspectRatio,
Qt.FastTransformation)
self.scaleFactor = float(scaledImage.width()) / float(
self.scribbleWidth)
painter.drawImage(dirtyRect, scaledImage, dirtyRect)
class Canvas(QWidget):
content_changed = Signal()
_background_color = QColor.fromRgb(0, 0, 0)
_foreground_color = QColor.fromRgb(255, 255, 255)
def __init__(self, parent, w, h, pen_width, scale):
super().__init__(parent)
self.w = w
self.h = h
self.scaled_w = scale * w
self.scaled_h = scale * h
self.scale = scale
# Set size
self.setFixedSize(self.scaled_w, self.scaled_h)
# Create image
self.small_image = QImage(self.w, self.h, QImage.Format_RGB32)
self.small_image.fill(self._background_color)
self.large_image = QImage(self.scaled_w, self.scaled_h,
QImage.Format_RGB32)
self.large_image.fill(self._background_color)
# Create pen
self.pen = QPen()
self.pen.setColor(self._foreground_color)
self.pen.setJoinStyle(Qt.RoundJoin)
self.pen.setCapStyle(Qt.RoundCap)
self.pen.setWidthF(scale * pen_width)
# There is currently no path
self.currentPath = None
self.content_changed.connect(self.repaint)
def _get_painter(self, paintee):
painter = QPainter(paintee)
painter.setPen(self.pen)
painter.setRenderHint(QPainter.Antialiasing, True)
return painter
def _derive_small_image(self, large_image=None):
if large_image is None:
large_image = self.large_image
# Downsample image
self.small_image = large_image.scaled(self.w,
self.h,
mode=Qt.SmoothTransformation)
self.content_changed.emit()
def _current_path_updated(self, terminate_path=False):
# Determine whether to draw on the large image directly or whether to make a temporary copy
paintee = self.large_image if terminate_path else self.large_image.copy(
)
# Draw path on the large image of choice
painter = self._get_painter(paintee)
if self.currentPath.elementCount() != 1:
painter.drawPath(self.currentPath)
else:
painter.drawPoint(self.currentPath.elementAt(0))
painter.end()
# Optionally terminate the path
if terminate_path:
self.currentPath = None
# Downsample image
self._derive_small_image(paintee)
def _clear_image(self):
self.large_image.fill(self._background_color)
self._derive_small_image()
def get_content(self):
return np.asarray(self.small_image.constBits()).reshape(
(self.h, self.w, -1))
def set_content(self, image_rgb):
for row in range(image_rgb.shape[0]):
for col in range(image_rgb.shape[1]):
self.small_image.setPixel(col, row, image_rgb[row, col])
self.large_image = self.small_image.scaled(
self.scaled_w, self.scaled_h, mode=Qt.SmoothTransformation)
self._derive_small_image()
self.content_changed.emit()
def mousePressEvent(self, event):
if event.button() == Qt.LeftButton:
# Create new path
self.currentPath = QPainterPath()
self.currentPath.moveTo(event.pos())
self._current_path_updated()
def mouseMoveEvent(self, event):
if (event.buttons() & Qt.LeftButton) and self.currentPath is not None:
# Add point to current path
self.currentPath.lineTo(event.pos())
self._current_path_updated()
def mouseReleaseEvent(self, event):
if (event.button() == Qt.LeftButton) and self.currentPath is not None:
# Add terminal point to current path
self.currentPath.lineTo(event.pos())
self._current_path_updated(terminate_path=True)
elif event.button() == Qt.RightButton:
self._clear_image()
def paintEvent(self, event):
paint_rect = event.rect() # Only paint the surface that needs painting
painter = self._get_painter(self)
# Draw image
painter.scale(self.scale, self.scale)
painter.drawImage(paint_rect, self.small_image, paint_rect)
painter.end()
painter = self._get_painter(self)
#if self.currentPath is not None:
# painter.drawPath(self.currentPath)
@Slot()
def repaint(self):
super().repaint()
def show_result(self):
if '' == self.model_name: # 说明还没有训练过模型
reply = QMessageBox.information(self, '提示', '你还没有训练模型哦！',
QMessageBox.Yes, QMessageBox.Yes)
if reply == QMessageBox.Yes:
return
show_mode = self.ui.buttonGroup.checkedId()
# print(show_mode)
# TODO: 这里的 Id 自己测出来的, 应该还有别的方法直接得到所选框的内容
if -2 == show_mode: # 展示 分类报告
self.ui.l_train_result.setText(self.classification_report)
elif -3 == show_mode: # 展示 混淆矩阵
# 读取图片文件，进行显示
img = QImage(self.cache_path + '/' + self.model_name +
'_confusion_matrix.png')
img_result = img.scaled(
self.ui.l_train_result.width(),
self.ui.l_train_result.height(), # 裁剪图片将图片大小
Qt.IgnoreAspectRatio,
Qt.SmoothTransformation)
self.ui.l_train_result.setPixmap(QPixmap.fromImage(img_result))
elif -4 == show_mode: # 展示 ROC曲线
# 读取图片文件，进行显示
img = QImage(self.cache_path + '/' + self.model_name +
'_ROC_Curves.png')
img_result = img.scaled(
self.ui.l_train_result.width(),
self.ui.l_train_result.height(), # 裁剪图片将图片大小
Qt.IgnoreAspectRatio,
Qt.SmoothTransformation)
self.ui.l_train_result.setPixmap(QPixmap.fromImage(img_result))
elif -5 == show_mode: # 展示 精度召回曲线
# 读取图片文件，进行显示
img = QImage(self.cache_path + '/' + self.model_name +
'_Precision_Recall_Curves.png')
img_result = img.scaled(
self.ui.l_train_result.width(),
self.ui.l_train_result.height(), # 裁剪图片将图片大小
Qt.IgnoreAspectRatio,
Qt.SmoothTransformation)
self.ui.l_train_result.setPixmap(QPixmap.fromImage(img_result))
elif -6 == show_mode: # 展示 损失曲线
if 'random_forest' == self.model_name: # 随机森林没有损失曲线
QMessageBox.information(self, '提示', '随机森林模型没有损失曲线哦！',
QMessageBox.Yes, QMessageBox.Yes)
else:
# 读取图片文件，进行显示
img = QImage(self.cache_path + '/' + self.model_name +
'_train_valid_loss.png')
img_result = img.scaled(
self.ui.l_train_result.width(),
self.ui.l_train_result.height(), # 裁剪图片将图片大小
Qt.IgnoreAspectRatio,
Qt.SmoothTransformation)
self.ui.l_train_result.setPixmap(QPixmap.fromImage(img_result))
elif -7 == show_mode: # 展示 正确率曲线
if 'random_forest' == self.model_name: # 随机森林没有正确率曲线
QMessageBox.information(self, '提示', '随机森林模型没有正确率曲线哦！',
QMessageBox.Yes, QMessageBox.Yes)
else:
# 读取图片文件，进行显示
img = QImage(self.cache_path + '/' + self.model_name +
'_train_valid_acc.png')
img_result = img.scaled(
self.ui.l_train_result.width(),
self.ui.l_train_result.height(), # 裁剪图片将图片大小
Qt.IgnoreAspectRatio,
Qt.SmoothTransformation)
self.ui.l_train_result.setPixmap(QPixmap.fromImage(img_result))
def draw(self, qp, fps, objs, x0, y0, image):
#qp.setWindow(x0, y0, self.w_,self.h_) # 设置窗口
# 画框架背景
qp.setBrush(QColor('#cecece')) # 框架背景色
qp.setPen(Qt.NoPen)
rect = QRect(x0, y0, self.w_, self.h_)
qp.drawRect(rect)
sw, sh = self.w_, self.h_ # 图像窗口宽高
sh -= 40
pw, ph = 0, 0 # 缩放后的QPixmap大小
# 画图
yh = 0
if image is not None:
ih, iw, _ = image.shape
self.scale = sw / iw if sw / iw < sh / ih else sh / ih # 缩放比例
yh = round((self.h_ - 40 - ih * self.scale) / 2)
#print(yh)
qimage = QImage(image.data, iw, ih, 3 * iw,
QImage.Format_RGB888) # 转QImage
qpixmap = QPixmap.fromImage(
qimage.scaled(self.w_, self.h_ - 40,
Qt.KeepAspectRatio)) # 转QPixmap
pw, ph = qpixmap.width(), qpixmap.height()
#print(pw,ph)
qp.drawPixmap(0 + x0, y0 + yh + 40, qpixmap)
font = QFont()
font.setFamily('Microsoft YaHei')
if fps > 0:
font.setPointSize(14)
qp.setFont(font)
pen = QPen()
pen.setColor(Qt.white)
qp.setPen(pen)
qp.drawText(self.w_ - 150 + x0, y0 + 20,
'FPS: ' + str(round(fps, 2)))
# 画目标框
pen = QPen()
pen.setWidth(2) # 边框宽度
person = 0
hat = 0
for obj in objs:
if obj["class"] == "person":
person += 1
else:
hat += 1
font.setPointSize(10)
qp.setFont(font)
rgb = [round(c) for c in obj['color']]
pen.setColor(QColor(rgb[0], rgb[1], rgb[2])) # 边框颜色
brush1 = QBrush(Qt.NoBrush) # 内部不填充
qp.setBrush(brush1)
qp.setPen(pen)
# 坐标 宽高
tx, ty = round(pw * obj['x']), yh + round(ph * obj['y'])
tw, th = round(pw * obj['w']), round(ph * obj['h'])
obj_rect = QRect(tx + x0, y0 + ty + 40, tw, th)
qp.drawRect(obj_rect) # 画矩形框
# 画 类别 和 置信度
qp.drawText(x0 + tx, y0 + ty + 40 - 5,
str(obj['class']) + str(round(obj['confidence'], 2)))
if fps > 0:
pen = QPen()
pen.setColor(Qt.red)
font.setPointSize(14)
qp.setFont(font)
qp.setPen(pen)
qp.drawText(0 + x0, y0 + 20,
"there are {0} person".format(person + hat))
qp.drawText(
x0 + 0, y0 + 40,
"{0} people did not wear safety helmets".format(person))
class Picture(object):
def __init__(self, path):
super(Picture, self).__init__()
self.path = path
self.name = self.path.split("/")[-1]
self.extension = os.path.splitext(self.path)[1]
self.scale = 1.0
self.image = QImage(self.path)
self.thumbnail = self.image.scaled(QSize(110, 110),
aspectMode=Qt.KeepAspectRatio,
mode=Qt.SmoothTransformation)
self.resolution = "Resolution: " + str(self.image.width()) + "x" + str(
self.image.height()) + "px"
def deletePicture(self):
os.remove(self.path)
def verticalFlip(self):
self.image = self.image.mirrored(vertically=True, horizontally=False)
self.thumbnail = self.image.scaled(QSize(110, 110),
aspectMode=Qt.KeepAspectRatio,
mode=Qt.SmoothTransformation)
self.image.save(self.path)
def horizontalFlip(self):
self.image = self.image.mirrored(horizontally=True, vertically=False)
self.thumbnail = self.image.scaled(QSize(110, 110),
aspectMode=Qt.KeepAspectRatio,
mode=Qt.SmoothTransformation)
self.image.save(self.path)
def zoomIn(self):
self.scale = self.scale * 0.9
def zoomOut(self):
self.scale = self.scale * 1.1
def rotateCW(self):
transform = QTransform()
transform.translate(self.image.width() / 2, self.image.height() / 2)
transform.rotate(90)
self.image = self.image.transformed(transform)
self.image.save(self.path)
self.thumbnail = self.image.scaled(QSize(110, 110),
aspectMode=Qt.KeepAspectRatio,
mode=Qt.SmoothTransformation)
def rotateCCW(self):
transform = QTransform()
transform.translate(self.image.width() / 2, self.image.height() / 2)
transform.rotate(-90)
self.image = self.image.transformed(transform)
self.image.save(self.path)
self.thumbnail = self.image.scaled(QSize(110, 110),
aspectMode=Qt.KeepAspectRatio,
mode=Qt.SmoothTransformation)
def saveImage(self):
self.image.save(self.path)
def _resize_bitmap(source_image: QImage) -> QImage:
image = source_image.scaled(Block.SIDE_LENGTH, Block.SIDE_LENGTH)
return image
class GalleryMiniature(QDialog):
def __init__(self, pid=0, filename=0):
super().__init__()
#self.resize(800,600)
self.pid = pid
#print(filename)
self.filename = filename
layout = QHBoxLayout()
self.baseLabel = MovableLabel()
self.baseLabel.setFrameShape(QFrame.StyledPanel)
self.baseLabel.setAlignment(Qt.AlignCenter)
self.baseLabel.getRectCoords.connect(self.getRectCoordsSlot)
self.miniLabel = QLabel()
self.miniLabel.setAlignment(Qt.AlignCenter)
self.base_image = QImage()
self.mini_image = QImage()
self.base_image_scaled = 0
#self.filename = 0
self.pix = 0
self.currentIndex = 0
self.real_size = 0
layout.addWidget(self.baseLabel)
layout.addWidget(self.miniLabel)
def openMenu(position):
menu = QMenu()
openAction = menu.addAction('Открыть')
saveAction = menu.addAction('Сохранить')
menu.addSeparator()
nextAction = menu.addAction('Следующий')
menu.addSeparator()
quitAction = menu.addAction('Выход')
action = menu.exec_(self.mapToGlobal(position))
if action == openAction:
fileName = QFileDialog.getOpenFileName(
self, "Изображение", "photos",
"Фото (*.png *.jpg *.bmp *.JPG)")
if len(fileName) > 1:
self.filename = fileName[0]
self.show_images()
if action == saveAction:
if self.filename:
print('os.path.basename(self.filename)')
path = os.path.basename(self.filename)
root_ext = os.path.splitext(path)
print(root_ext)
if self.pid:
root_ext = [str(pid) + '_001']
minifile = os.path.join(
os.path.join('photos', 'miniatures'),
root_ext[0] + '.png')
if self.pix:
self.pix.save(minifile, "PNG")
print(minifile)
if action == nextAction:
if self.base_image:
self.get_face_image()
if action == quitAction:
self.close()
self.setContextMenuPolicy(Qt.CustomContextMenu)
self.customContextMenuRequested.connect(openMenu)
self.setLayout(layout)
if self.filename:
self.show_images()
else:
screen = QGuiApplication.primaryScreen()
screenSize = screen.availableSize()
sy = int((screenSize.height() - 20) / 4)
sx = int((screenSize.width() - 20) / 4)
self.setGeometry(sx, sy, int(screenSize.width() / 4),
int(screenSize.height() / 4))
def show_images(self):
#print(self.filename)
self.base_image.load(self.filename)
self.real_size = (self.base_image.width(), self.base_image.height())
screen = QGuiApplication.primaryScreen()
screenSize = screen.availableSize()
sy = int((screenSize.height() - 20) / 2)
sx = int((screenSize.width() - 20) / 2)
if not self.base_image_scaled:
self.base_image_scaled = self.base_image.scaled(
sx, sy, Qt.KeepAspectRatio)
self.setGeometry(sx - int(self.base_image_scaled.width()),
sy - int(self.base_image_scaled.height() / 2),
self.base_image_scaled.width() * 2,
self.base_image_scaled.height())
else:
self.base_image_scaled = self.base_image.scaled(
int(self.base_image_scaled.width()),
int(self.base_image_scaled.height()), Qt.KeepAspectRatio)
self.setGeometry(sx - int(self.base_image_scaled.width()),
sy - int(self.base_image_scaled.height() / 2),
self.base_image_scaled.width() * 2,
self.base_image_scaled.height())
self.baseLabel.setPixmap(QPixmap.fromImage(self.base_image_scaled))
#self.miniLabel.setPixmap(QPixmap.fromImage(self.base_image))
self.get_face_image()
def getRectCoordsSlot(self, coords):
print(coords)
if self.base_image:
self.get_face_image(coords)
def get_round_miniature(self, image):
size = (300, 300)
img = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
im = Image.fromarray(img)
#im = image #Image.open(image.png)
im = crop(im, size)
im.putalpha(prepare_mask(size, 4))
#im.save(filename)
qim = ImageQt(im)
self.pix = QPixmap.fromImage(qim)
self.miniLabel.setPixmap(self.pix)
#self.miniature = QImage(filename)
def get_face_image(self, coords=0):
with open(self.filename, 'rb') as f:
chunk = f.read()
chunk_arr = np.frombuffer(chunk, dtype=np.uint8)
image = cv2.imdecode(chunk_arr, cv2.IMREAD_COLOR)
if coords == 0:
print(self.filename)
#image = cv2.imread(self.filename)
# !!!!!!!!!!!! Обязательно указать правильный путь к файлу !!!!!!!!!!!!
# !!!!!!!!!!!! Путь до xml есть в https://github.com/opencv/opencv/tree/master/data/haarcascades !!!!!!!!!!!!
face_cascade = cv2.CascadeClassifier(
os.path.join('xml', 'haarcascade_frontalface_default.xml'))
# !!!!!!!!!!!! Необходимо настроить параметры так как находит не все лица !!!!!!!!!!!!
faces_coord = face_cascade.detectMultiScale(image,
scaleFactor=1.2,
minNeighbors=5,
minSize=(110, 110))
if (len(faces_coord) > 0):
for i, face in enumerate(faces_coord):
(x, y, w, h) = face
height, width, channels = image.shape
s = int(min(width * 0.1, height * 0.1))
if y - s >= 0:
y = y - s
h = h + s
if x - s >= 0:
x = x - s
w = w + s
h = h + s if y + h + s < height else h
w = w + s if x + w + s < width else w
if i == self.currentIndex:
crop_image = image[y:y + h, x:x + w]
#cv2.imshow("Face", crop_image)
self.get_round_miniature(crop_image)
break
#cv2.waitKey(0)
#crop_image.save()
self.currentIndex = 0 if self.currentIndex + 1 >= len(
faces_coord) else self.currentIndex + 1
else:
if self.real_size:
#image = cv2.imread(self.filename)
#x_scale = self.base_image.width() / self.base_image_scaled.width()
#y_scale = self.base_image.height() / self.base_image_scaled.height()
x_scale = self.base_image.width(
) * self.base_image_scaled.width() / (
self.base_image_scaled.width() * self.baseLabel.width())
y_scale = self.base_image.height(
) * self.base_image_scaled.height() / (
self.base_image_scaled.height() * self.baseLabel.height())
print(
(int(coords[0][1] * y_scale), int(coords[1][1] * y_scale),
int(coords[0][0] * x_scale), int(coords[1][0] * x_scale)))
crop_image = image[int(coords[0][1] *
y_scale):int(coords[1][1] * y_scale),
int(coords[0][0] *
x_scale):int(coords[1][0] * x_scale)]
self.get_round_miniature(crop_image)
class ObjectIcon(QWidget):
MIN_SIZE = QSize(32, 32)
MAX_SIZE = MIN_SIZE * 2
clicked: SignalInstance = Signal()
object_placed: SignalInstance = Signal()
def __init__(self, level_object: Optional[LevelObject] = None):
super(ObjectIcon, self).__init__()
size_policy = QSizePolicy(QSizePolicy.Fixed, QSizePolicy.Fixed)
self.setSizePolicy(size_policy)
self.zoom = 1
self.object = None
self.image = QImage()
self.set_object(level_object)
self.draw_background_color = True
self.max_size = self.MIN_SIZE
def mouseMoveEvent(self, event):
if not (event.buttons() & Qt.LeftButton):
return super(ObjectIcon, self).mouseMoveEvent(event)
drag = QDrag(self)
mime_data = QMimeData()
object_bytes = bytearray()
if isinstance(self.object, LevelObject):
object_bytes.append(0)
else:
object_bytes.append(1)
object_bytes.extend(self.object.to_bytes())
mime_data.setData("application/level-object", object_bytes)
drag.setMimeData(mime_data)
if drag.exec_() == Qt.MoveAction:
self.object_placed.emit()
def set_object(self, level_object: Union[LevelObject, EnemyObject]):
if level_object is not None:
self.object = get_minimal_icon_object(level_object)
self.image = self.object.as_image()
self.setToolTip(self.object.name)
else:
self.image = QImage()
self.setToolTip("")
self.update()
def heightForWidth(self, width: int) -> int:
current_width, current_height = self.image.size().toTuple()
height = current_height / current_width * width
return height
def sizeHint(self):
if self.object is not None and self.fits_inside(
self.image.size() * 2, self.max_size):
return self.image.size() * 2
else:
return self.max_size
def paintEvent(self, event: QPaintEvent):
if self.object is not None:
painter = QPainter(self)
if self.draw_background_color:
painter.fillRect(
event.rect(),
QColor(*bg_color_for_palette(self.object.palette_group)))
scaled_image = self.image.scaled(self.size(),
aspectMode=Qt.KeepAspectRatio)
x = (self.width() - scaled_image.width()) // 2
y = (self.height() - scaled_image.height()) // 2
painter.drawImage(x, y, scaled_image)
return super(ObjectIcon, self).paintEvent(event)
def mouseReleaseEvent(self, event: QMouseEvent):
self.clicked.emit()
return super(ObjectIcon, self).mouseReleaseEvent(event)
@staticmethod
def fits_inside(size1: QSize, size2: QSize):
return size1.width() <= size2.width() and size1.height(
) <= size2.height()
def resize_qimage(self, image: QImage) -> QImage:
return image.scaled(self.resize_to, self.resize_to, Qt.IgnoreAspectRatio, Qt.SmoothTransformation)
class OrgAppWindows(QMainWindow):
def __init__(self):
super(OrgAppWindows, self).__init__()
self.setWindowTitle("Tournament Organization powered by Jcigi")
self.resize(1000, 1000)
self.widget = QWidget()
self.main_layout = QVBoxLayout()
self.widget.setLayout(self.main_layout)
self.setCentralWidget(self.widget)
self.background_image = QImage("images/gdc_logo_uj.png")
self.image_rect = QRect()
# A menus.py definiálja a menüpontokat
create_menus_org(self)
def paintEvent(self, e):
painter = QPainter()
painter.begin(self)
self.drawWidget(painter)
painter.end()
def drawWidget(self, painter):
rect = self.rect()
hatter = self.background_image.scaled(
QSize(rect.width(), rect.height()), Qt.KeepAspectRatio,
Qt.SmoothTransformation)
self.image_rect.setRect(rect.x(), rect.y(), hatter.width(),
hatter.height())
self.image_rect.moveCenter(rect.center())
painter.setOpacity(0.05)
painter.drawImage(self.image_rect, QImage(hatter))
@Slot()
def exit_app(self):
QApplication.quit()
@Slot()
def torna_settings(self):
self.torna_settings_window = TornaSettingsDialog(self)
self.torna_settings_window.show()
@Slot()
def torna_settings2(self):
self.torna_settings_window = TornaSettingsDialog(
self, 0) # todo ezt majd az aktív tornák közül kell kiválasztani
self.torna_settings_window.show()
@Slot()
def create_players(self):
self.select_players_window = SelectPlayersWindow(self)
self.select_players_window.show()
@Slot()
def create_boards(self):
self.create_boards_window = CsoportTabla(self)
self.create_boards_window.show()
@Slot()
def torna_status(self):
self.torna_status_window = TornaStatuszWindow(self)
self.torna_status_window.show()