I have two class and use tkinter demo.
class App:
def __init__(self, window, window_title, video_source=0):
self.window = window
self.window.title(window_title)
self.video_source = video_source
# open video source (by default this will try to open the computer webcam)
self.vid = MyVideoCapture(self.video_source)
# Create a canvas that can fit the above video source size
self.canvas = tkinter.Canvas(window).place(x=50, y=0)
# set plot parameter
self.fig = Figure(figsize=(7, 4), dpi=100)
self.fresh = FigureCanvasTkAgg(self.fig, master=self.window)
self.ax1 = self.fig.add_subplot(211)
self.ax2 = self.fig.add_subplot(212)
self.fresh.get_tk_widget().place(x=700, y=0)
self.window.geometry('1500x550')
# Camera thread
self.photo = None
self.delay = 15
self.t = threading.Thread(target=self.update, args=())
self.t.setDaemon(True)
self.t.start()
def refresh(self, data):
sample_track = pd.read_csv('/home/share/sample_track.csv')
x = [i for i in range(len(sample_track))]
y = sample_track['0']
xdata = [i for i in range(len(data))]
ydata = data
self.ax1.plot(x, y, 'bo--')
self.ax2.plot(xdata, ydata, 'ro--')
self.fresh.draw()
def update(self):
# Get a frame from the video source
ret, frame = self.vid.get_frame()
if ret:
self.photo = PIL.ImageTk.PhotoImage(image=PIL.Image.fromarray(frame))
self.canvas.create_image(0, 0, image=self.photo, anchor=tkinter.NW)
self.window.after(self.delay, self.update)
class MyVideoCapture:
def __init__(self, video_source=0):
# Open the video source
self.vid = cv2.VideoCapture(video_source)
if not self.vid.isOpened():
raise ValueError("Unable to open video source", video_source)
self.ret = None
def get_frame(self):
if self.vid.isOpened():
self.ret, frame = self.vid.read()
if self.ret:
# Return a boolean success flag and the current frame converted to BGR
return self.ret, cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
else:
return self.ret, None
if __name__ == '__main__':
win = tkinter.Tk()
panel = App(win, "Dance")
value = []
for i in range(15):
value.append(np.random.randint(0, 800))
panel.refresh(data=value)
time.sleep(0.1)
win.mainloop()
I want to start the Webcam and refresh the figure at the same time.
I tried to use the thread but still failed.
The following error occurred:
RuntimeError: main thread is not in main loop
AttributeError: 'PhotoImage' object has no attribute '_PhotoImage__photo'
How can I solve it?
Here is a working tkinter camera taken straight from here (found by a quick search for 'tkinter camera'):
import tkinter
import cv2
import PIL.Image, PIL.ImageTk
import time
class App:
def __init__(self, window, window_title, video_source=0):
self.window = window
self.window.title(window_title)
self.video_source = video_source
# open video source (by default this will try to open the computer webcam)
self.vid = MyVideoCapture(self.video_source)
# Create a canvas that can fit the above video source size
self.canvas = tkinter.Canvas(window, width = self.vid.width, height = self.vid.height)
self.canvas.pack()
# Button that lets the user take a snapshot
self.btn_snapshot=tkinter.Button(window, text="Snapshot", width=50, command=self.snapshot)
self.btn_snapshot.pack(anchor=tkinter.CENTER, expand=True)
# After it is called once, the update method will be automatically called every delay milliseconds
self.delay = 15
self.update()
self.window.mainloop()
def snapshot(self):
# Get a frame from the video source
ret, frame = self.vid.get_frame()
if ret:
cv2.imwrite("frame-" + time.strftime("%d-%m-%Y-%H-%M-%S") + ".jpg", cv2.cvtColor(frame, cv2.COLOR_RGB2BGR))
def update(self):
# Get a frame from the video source
ret, frame = self.vid.get_frame()
if ret:
self.photo = PIL.ImageTk.PhotoImage(image = PIL.Image.fromarray(frame))
self.canvas.create_image(0, 0, image = self.photo, anchor = tkinter.NW)
self.window.after(self.delay, self.update)
class MyVideoCapture:
def __init__(self, video_source=0):
# Open the video source
self.vid = cv2.VideoCapture(video_source)
if not self.vid.isOpened():
raise ValueError("Unable to open video source", video_source)
# Get video source width and height
self.width = self.vid.get(cv2.CAP_PROP_FRAME_WIDTH)
self.height = self.vid.get(cv2.CAP_PROP_FRAME_HEIGHT)
def get_frame(self):
if self.vid.isOpened():
ret, frame = self.vid.read()
if ret:
# Return a boolean success flag and the current frame converted to BGR
return (ret, cv2.cvtColor(frame, cv2.COLOR_BGR2RGB))
else:
return (ret, None)
else:
return (ret, None)
# Release the video source when the object is destroyed
def __del__(self):
if self.vid.isOpened():
self.vid.release()
# Create a window and pass it to the Application object
App(tkinter.Tk(), "Tkinter and OpenCV")
Related
I have this code below which creates a python gui to display a camera with a snapshot button. I would like to make it so that when a snapshot is taken the camera closes. I tried self.vid.release() and cv2.destroyAllWindows() inside the snapshot function. But it did not work. How can I close the camera after I take a snapshot?
import tkinter as tk
import cv2
import PIL.Image, PIL.ImageTk
import time
def camerachoice():
class App:
def __init__(self, window, window_title, video_source=0):
self.window = window
self.window.title(window_title)
self.video_source = video_source
self.vid = MyVideoCapture(self.video_source)
self.canvas = tk.Canvas(window, width = self.vid.width, height = self.vid.height)
self.canvas.pack()
self.btn_snapshot=tk.Button(window, text="Snapshot", width=50, command=self.snapshot)
self.btn_snapshot.pack(anchor=tk.CENTER, expand=True)
self.delay = 15
self.update()
self.window.mainloop()
def snapshot(self):
ret, frame = self.vid.get_frame()
if ret:
cv2.imwrite("frame-" + time.strftime("%d-%m-%Y-%H-%M- br%S") + ".jpg", cv2.cvtColor(frame, cv2.COLOR_RGB2BGR))
def update(self):
ret, frame = self.vid.get_frame()
if ret:
self.photo = PIL.ImageTk.PhotoImage(image = PIL.Image.fromarray(frame))
self.canvas.create_image(0, 0, image = self.photo, anchor = tk.NW)
self.window.after(self.delay, self.update)
class MyVideoCapture:
def __init__(self, video_source=0):
self.vid = cv2.VideoCapture(video_source)
if not self.vid.isOpened():
raise ValueError("Unable to open video source", video_source)
self.width = self.vid.get(cv2.CAP_PROP_FRAME_WIDTH)
self.height = self.vid.get(cv2.CAP_PROP_FRAME_HEIGHT)
def get_frame(self):
if self.vid.isOpened():
ret, frame = self.vid.read()
if ret:
return (ret, cv2.cvtColor(frame, cv2.COLOR_BGR2RGB))
else:
return (ret, None)
else:
return (ret, None)
def __del__(self):
if self.vid.isOpened():
self.vid.release()
#App()
App(tk.Toplevel(), "Tkinter and OpenCV")
if __name__ == "__main__":
camerachoice()
I trying to move OpenCV's frame to Tkinter
Code Following...
import tkinter as tk
import time
from PIL import ImageTk, Image
from cv2 import cv2
To show the video
class CamWindow:
def __init__(self, window, title:str, cam_plug = 0, delay = 15):
self.delay = delay
self.window = window
self.title = title
self.window.title(self.title)
self.cam = MyVideoCapture(cam_plug)
self.canvas = tk.Canvas(self.window, width = self.cam.width, height = self.cam.height)
self.canvas.pack()
self.photoButton = tk.Button(self.window, text="SnapShot", width=30, command=self.shot)
self.photoButton.pack(anchor=tk.CENTER, expand=True)
self.update()
self.window.mainloop()
def shot(self):
ret, frame = self.cam.getPic()
if ret:
cv2.imwrite(time.strftime("%d-%m-%Y-%H-%M-%S")+".jpg", cv2.cvtColor(frame, cv2.COLOR_RGB2BGR))
def update(self):
ret, frame = self.cam.getPic()
if ret:
self.photo = ImageTk.PhotoImage(image=Image.fromarray(frame))
self.canvas.create_image(0, 0, image = self.photo, anchor = tk.NW)
self.window.after(self.delay, self.update())
class MyVideoCapture:
def __init__(self, cam_plug = 0):
self.cam = cv2.VideoCapture(cam_plug, cv2.CAP_DSHOW)
if not self.cam.isOpened():
raise ValueError("cannot open camera at %d", cam_plug)
self.width = self.cam.get(cv2.CAP_PROP_FRAME_WIDTH)
self.height = self.cam.get(cv2.CAP_PROP_FRAME_HEIGHT)
def getPic(self):
if self.cam.isOpened():
ret, frame = self.cam.read()
if ret:
return ret, cv2.cvtColor(frame, cv2.COLOR_BGR2RGBA)
else:
return ret, None
else:
return None, None
def __del__(self):
if self.cam.isOpened:
self.cam.release()
the terminal shows memory error, but everything seems to make sense.
and also I met "Attributeerror: 'photoimage' object has no attribute '_photoimage__photo'"
if there's any method or codes having problems please tell me as well
==========================edit===========================
my main file.py is:
from module.UI import CamWindow
def main():
CamWindow(tk.Tk(), title = "camera window", delay = 30)
if __name__ == '__main__':
main()
I am trying to make a multi camera video streaming using OpenCV and have used PyQt for GUI. The code is running fine in Full HD but the streams are getting distorted when I change the resolution of the display. Can anyone tell me why is this happening?
Following are the screenshots for your reference:
Screenshot in 1920*1080(Full HD)
Screenshot in 1600*900
Screenshot in 1366*768
The code is below:
from PyQt4 import QtCore, QtGui
from threading import Thread
from collections import deque
from datetime import datetime
import time
import sys
import cv2
import imutils
class CameraWidget(QtGui.QWidget):
def __init__(self, width, height, stream_link=0, aspect_ratio=False, parent=None, deque_size=1):
super(CameraWidget, self).__init__(parent)
# Initialize deque used to store frames read from the stream
self.deque = deque(maxlen=deque_size)
self.screen_width = width
self.screen_height = height
self.maintain_aspect_ratio = aspect_ratio
self.camera_stream_link = stream_link
# Flag to check if camera is valid/working
self.online = False
self.capture = None
self.video_frame = QtGui.QLabel()
self.load_network_stream()
# Start background frame grabbing
self.get_frame_thread = Thread(target=self.get_frame, args=())
self.get_frame_thread.daemon = True
self.get_frame_thread.start()
# Periodically set video frame to display
self.timer = QtCore.QTimer()
self.timer.timeout.connect(self.set_frame)
self.timer.start(.5)
print('Started camera: {}'.format(self.camera_stream_link))
def load_network_stream(self):
"""Verifies stream link and open new stream if valid"""
def load_network_stream_thread():
if self.verify_network_stream(self.camera_stream_link):
self.capture = cv2.VideoCapture(self.camera_stream_link)
self.online = True
self.load_stream_thread = Thread(target=load_network_stream_thread, args=())
self.load_stream_thread.daemon = True
self.load_stream_thread.start()
def verify_network_stream(self, link):
"""Attempts to receive a frame from given link"""
cap = cv2.VideoCapture(link)
if not cap.isOpened():
return False
cap.release()
return True
def get_frame(self):
"""Reads frame, resizes, and converts image to pixmap"""
while True:
try:
if self.capture.isOpened() and self.online:
# Read next frame from stream and insert into deque
status, frame = self.capture.read()
if status:
self.deque.append(frame)
else:
self.capture.release()
self.online = False
else:
# Attempt to reconnect
print('attempting to reconnect', self.camera_stream_link)
self.load_network_stream()
self.spin(2)
self.spin(.001)
except AttributeError:
pass
def spin(self, seconds):
"""Pause for set amount of seconds, replaces time.sleep so program doesnt stall"""
time_end = time.time() + seconds
while time.time() < time_end:
QtGui.QApplication.processEvents()
def set_frame(self):
"""Sets pixmap image to video frame"""
if not self.online:
self.spin(1)
return
if self.deque and self.online:
# Grab latest frame
frame = self.deque[-1]
# Keep frame aspect ratio
if self.maintain_aspect_ratio:
self.frame = imutils.resize(frame, width=self.screen_width)
# Force resize
else:
self.frame = cv2.resize(frame, (self.screen_width, self.screen_height))
# Convert to pixmap and set to video frame
self.img = QtGui.QImage(self.frame, self.frame.shape[1], self.frame.shape[0], QtGui.QImage.Format_RGB888).rgbSwapped()
self.pix = QtGui.QPixmap.fromImage(self.img)
self.video_frame.setPixmap(self.pix)
def get_video_frame(self):
return self.video_frame
I found the solution, QImage was responsible for the trouble.
else:
self.frame = cv2.resize(frame, (self.screen_width, self.screen_height))
self.frame = cv2.cvtColor(self.frame, cv2.COLOR_BGR2RGB)
h, w, ch = self.frame.shape
bytesPerLine = ch * w
# Convert to pixmap and set to video frame
self.img = QtGui.QImage(self.frame, w, h, bytesPerLine, QtGui.QImage.Format_RGB888)
self.pix = QtGui.QPixmap.fromImage(self.img)
self.video_frame.setPixmap(self.pix)
I want to display an animated gif with Tkinter. I tried using the solutions proposed here.
The problem is that in my gif, only the first frame is complete. All other frame consist of a mostly transparent area where only the few pixels that change w.r.t. the preceding frame are non-transparent.
Hoe can I tell Tkinter that the background of those frames is supposed to be transparent?
from Tkinter import *
from PIL import Image, ImageTk
class MyLabel(Label):
def __init__(self, master, filename):
im = Image.open(filename)
seq = []
try:
while 1:
seq.append(im.copy())
im.seek(len(seq)) # skip to next frame
except EOFError:
pass # we're done
try:
self.delay = im.info['duration']
except KeyError:
self.delay = 100
first = seq[0].convert('RGBA')
self.frames = [ImageTk.PhotoImage(first)]
Label.__init__(self, master, image=self.frames[0])
temp = seq[0]
for image in seq[1:]:
temp.paste(image)
frame = temp.convert('RGBA')
self.frames.append(ImageTk.PhotoImage(frame))
self.idx = 0
self.cancel = self.after(self.delay, self.play)
def play(self):
self.config(image=self.frames[self.idx])
self.idx += 1
if self.idx == len(self.frames):
self.idx = 0
self.cancel = self.after(self.delay, self.play)
root = Tk()
anim = MyLabel(root, 'animated.gif')
anim.pack()
def stop_it():
anim.after_cancel(anim.cancel)
Button(root, text='stop', command=stop_it).pack()
root.mainloop()
Looks like you need to supply a mask for the paste operation:
from Tkinter import *
from PIL import Image, ImageTk
class MyLabel(Label):
def __init__(self, master, filename):
im = Image.open(filename)
seq = []
try:
while 1:
seq.append(im.copy())
im.seek(len(seq)) # skip to next frame
except EOFError:
pass # we're done
try:
self.delay = im.info['duration']
except KeyError:
self.delay = 100
first = seq[0].convert('RGBA')
self.frames = [ImageTk.PhotoImage(first)]
Label.__init__(self, master, image=self.frames[0])
lut = [1] * 256
lut[im.info["transparency"]] = 0
temp = seq[0]
for image in seq[1:]:
mask = image.point(lut, "1")
# point() is used to map image pixels into mask pixels
# via the lookup table (lut), creating a mask
# with value 0 at transparent pixels and
# 1 elsewhere
temp.paste(image, None, mask) #paste with mask
frame = temp.convert('RGBA')
self.frames.append(ImageTk.PhotoImage(frame))
self.idx = 0
self.cancel = self.after(1000, self.play)
def play(self):
self.config(image=self.frames[self.idx])
self.idx += 1
if self.idx == len(self.frames):
self.idx = 0
self.cancel = self.after(self.delay, self.play)
root = Tk()
anim = MyLabel(root, 'tumblr_m3i10ma4fI1qe0eclo1_r9_500.gif')
anim.pack()
def stop_it():
anim.after_cancel(anim.cancel)
Button(root, text='stop', command=stop_it).pack()
root.mainloop()
When I load a transparent image with:
def load_image(path):
img = Image.open(path)
return ImageTk.PhotoImage(img)
class Home_Screen(threading.Thread):
def __init__(self):
threading.Thread.__init__(self)
self.home = Tk()
self.home.resizable(width = False,height = False)
self.home.geometry("700x500+300+100")
self.start()
def run(self):
self.images()
Label(self.home, image = self.background).pack() # Put it in the display window
button_instructions = Label(self.home,image = self.b_instructions).place(x = 300,y = 200)
self.home.mainloop()
def images(self):
self.background = load_image("Images/night-sky.jpg")
self.b_instructions = load_image("button_instructions.png")
def start_game(self):
self.home.destroy()
Home = Home_Screen()
I get an image with a white border around it. Does anyone know why the original transparency was not retained? If so could you please offer a solution.
Use a Canvas instead of Label widgets. The transparency isn't getting lost, because what you see is the background of the widget.
def run(self):
img_sky = ImageTk.PhotoImage(file="Images/night-sky.jpg")
img_button = ImageTk.PhotoImage(file="button_instructions.png")
self.canvas = Canvas(self.home, width=700, height=500)
self.canvas.create_image(0, 0, image=img_sky)
self.canvas.create_image(300, 200, image=img_button)
self.canvas.pack()
self.home.mainloop()