class RedDetector(Thread):
def __init__(self):
Thread.__init__(self)
self.camera = Camera(400,250)
self.value = False
print("test")
self.run()
def is_red(self, image):
red_pixels = 0
image.convert('RGB')
pix = image.load()
for x in range(400):
for y in range(250):
pixel = pix[x,y]
#pixel = image.getpixel((x,y))
if ((pixel[0] >= 100) and (pixel[1] >= 100) and (pixel[2] >= 100)):
red_pixels += 1
pix[x,y] = (0,255,0)
#print("one red pixel added")
percentage = red_pixels/128/96
if percentage >= 0.05:
self.value = True
else:
self.value = False
#print(red_pixels)
image.save("Change_color.jpeg")
return red_pixels
def run(self):
#print("trying to capture")
self.image = self.camera.update()
#image = Imager("image.png",self.camera.get_value())
pixel = self.is_red(self.image)
if (pixel > 30):
GPIO.output(output, False)
else:
GPIO.output(output, True)
#self.camera.close()
def get_value(self):
return self.value
def update(self):
pass
class Image:
def __init__(self):
# 实例化相机
self.cam = Camera()
self.n = 0
self.image = np.zeros([600, 800, 3], np.uint8)
self.image1 = np.zeros([600, 800, 3], np.uint8)
def enhancebri(self, m):
self.n = self.n + 1
frame = self.cam.run()
frame1 = cv2.flip(frame, 0)
# frame = cv2.resize(frame, (800, 600))
# frame1 = cv2.GaussianBlur(frame1, (5, 5), 1.5)
self.image = cv2.add(frame1, self.image)
if self.n % m == 0:
self.n = 0
self.image1 = self.image
self.image = np.zeros([600, 800, 3], np.uint8)
return self.image1
print('self.n', self.n)
def closecamera(self):
mvsdk.CameraUnInit(self.cam.hCamera)
# Cam = Camera()
# n = 0
#
# m = 6
# Img = Image()
# while 1:
# n = n + 1
# # frame = Cam.run()
# # frame1 = cv2.flip(frame, 0)
# frame1 = Img.enhancebri(m)
# if n % m == 0:
# # frame1 = Img.enhancebri(5)
# cv2.imshow('1', frame1)
# cv2.waitKey(1)
# n = 0
# print('n', n)
class Image:
def __init__(self, width, height):
# 实例化相机
self.cam = Camera()
self.n = 0
self.image = np.zeros([height, width, 3], np.uint8)
self.image1 = np.zeros([height, width, 3], np.uint8)
def enhancebri(self, m):
self.n = self.n + 1
frame = self.cam.run()
frame1 = cv2.flip(frame, 0)
frame1 = cv2.resize(frame1, (800, 600))
# frame1 = cv2.GaussianBlur(frame1, (5, 5), 1.5)
self.image = cv2.add(frame1, self.image)
if self.n % m == 0:
self.n = 0
self.image1 = self.image
self.image = np.zeros([600, 800, 3], np.uint8)
return self.image1
print('self.n', self.n)
def closecamera(self):
mvsdk.CameraUnInit(self.cam.hCamera)
def video_feed():
"""Video streaming route. Put this in the src attribute of an img tag."""
return Response(gen(Camera()),
mimetype='multipart/x-mixed-replace; boundary=frame')
import cv2
import sys
from camera1 import Camera
from window import Window
if __name__ == '__main__':
# 实例化相机对象
cam = Camera()
# 生成窗体对象
pro = Window('projector_1', 'projector_2', 1600, 1200)
# 前两个参数是第一个窗体，后两个是第二个窗体
pro.createwindow(1600, 1200)
# 连投影仪运行这句话，不连就把1改成0，否则会报错 out of range
pro.movewindow(1)
# 前两个参数是一屏二屏标记的颜色，第三个参数是标记的宽度，最后两个参数 要和生成窗体对象的最后两个参数保持一致，如果想要二屏标记也是绿色就把（255,255,255）改成（0,255,0）
pro.bindingwi((0, 255, 0), (255, 255, 255), 3, 1600, 1200)
pro.nobiaotilan()
# 创建跟踪器
tracker_type = 'CSRT'
tracker = cv2.TrackerCSRT_create()
while True:
# 读入第一帧
frame = cam.run()
frame = cv2.flip(frame, 0)
# print(frame.shape)
# pro.addimage(frame)
pro.showimage(frame)
cv2.waitKey(1)
pro.movebiaoji()
# 定义一个bounding box
# bbox = (287, 23, 86, 320)
def __init__(self):
Thread.__init__(self)
self.camera = Camera(400,250)
self.value = False
print("test")
self.run()
def __init__(self):
# 实例化相机
self.cam = Camera()
self.n = 0
self.image = np.zeros([600, 800, 3], np.uint8)
self.image1 = np.zeros([600, 800, 3], np.uint8)
def __init__(self, width, height):
# 实例化相机
self.cam = Camera()
self.n = 0
self.image = np.zeros([height, width, 3], np.uint8)
self.image1 = np.zeros([height, width, 3], np.uint8)