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run_threads_stats.py
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run_threads_stats.py
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from webcamvideostream import WebcamVideoStream
import os
import time
import operator
import imutils
import cv2
import numpy as np
COPYMAIN = True
DISPLAY_INFO = False
DISPLAY_GRID = False
DISPLAY_MASK = True
DISPLAY_FREG = False
if COPYMAIN:
# Copy values from the main program
from run_LSTM_track import CAMERA
from run_LSTM_track import ROTATE
from run_LSTM_track import PMASK
from run_LSTM_track import FREG
from run_LSTM_track import FCAMCP
from run_LSTM_track import FCAMDS
from run_LSTM_track import FCOFF
else:
# CAMERA = [0, 1, 2, 3]
CAMERA = [cv2.CAP_DSHOW + 1] # Using directshow to fix black bar
# CAMERA = [ "rtsp://167.205.66.147:554/onvif1"
# "rtsp://167.205.66.148:554/onvif1",
# "rtsp://167.205.66.149:554/onvif1",
# "rtsp://167.205.66.150:554/onvif1"]
PMASK = [ np.array([[290,200],[0,0],[430,0],[327,157]], np.int32), # NE
np.array([[760,200],[880,288],[1024,134],[985,44]], np.int32), # NW
np.array([[185,430],[255,470],[70,570],[0,575],[0,300]], np.int32), # SE
np.array([[610,520],[770,430],[960,576],[660,576]], np.int32) # SW
]
FREG = [288+0, 288+100, 512+125, 512+340]
class main_video:
def preprocess(raws, rots):
imgs = []
for raw, rot in zip(raws, rots):
img = raw
# img = cv2.resize(img, dsize=(256, 144), interpolation=cv2.INTER_CUBIC) # 16:9
img = cv2.resize(img, dsize=(512, 288), interpolation=cv2.INTER_CUBIC) # 16:9
# img = cv2.resize(img, dsize=(320, 240), interpolation=cv2.INTER_CUBIC) # 4:3
# img = cv2.resize(img, dsize=(160, 120), interpolation=cv2.INTER_CUBIC) # 4:3
img = imutils.rotate_bound(img, rot)
imgs.append(img)
if len(imgs) == 1:
image = imgs[0]
if len(imgs) >= 2:
image = np.hstack((imgs[0], imgs[1]))
if len(imgs) >= 4: # Four images boxed
image2 = np.hstack((imgs[2], imgs[3]))
image = np.vstack((image, image2))
return imgs, image
def __init__(self, camera=CAMERA):
fps_time = 0
frame = 0
avg_fps = 0
his_fps = []
# cams = [WebcamVideoStream(src=cam).start() for cam in camera]
cams = [WebcamVideoStream(src=cam, resolution=(1280,720)).start() for cam in camera]
# h, w, c = image_raw.shape
# h2, w2, c2 = image2_raw.shape
# print(h, w, c, h2, w2, c2)
# Main loop
while True:
imgs = []
for i, cam in enumerate(cams):
img = cam.read()
print(cam.grabbed, end=" ")
# If no image is acquired
if (img is None):
# Black image
imgs.append(np.zeros((100,100,3), np.uint8))
elif (img.size == 0):
imgs.append(np.zeros((100,100,3), np.uint8))
else:
imgs.append(img)
if(imgs is not [None]):
imgs, image = main_video.preprocess(imgs, ROTATE)
if len(imgs) == 5:
im_h, im_w = imgs[4].shape[:2]
imf = imgs[4][round(im_h*FCAMCP[0]): round(im_h*FCAMCP[1]), round(im_w*FCAMCP[2]): round(im_w*FCAMCP[3])] # Crop
im_h, im_w = imf.shape[:2]
imf = cv2.resize(imf, dsize=(round(im_w/FCAMDS), round(im_h/FCAMDS)), interpolation=cv2.INTER_CUBIC) # Downsample
im_h, im_w = imf.shape[:2]
ky = 0 if im_h % 2 == 0 else 1
kx = 0 if im_w % 2 == 0 else 1
freg = [round(FCOFF[1]-im_h/2), round(FCOFF[1]+im_h/2)+ky, round(FCOFF[0]-im_w/2), round(FCOFF[0]+im_w/2)+kx]
image[freg[0]:freg[1], freg[2]:freg[3]] = imf # Insert to the center
fps = 1.0 / (time.time() - fps_time)
fps_time = time.time()
print("%.2f" % fps)
his_fps.append(fps)
frame += 1
if frame > 120:
avg_fps = sum(his_fps) / len(his_fps)
frame = 0
his_fps = []
# self.display_all(image, fps)
self.display_all(image, avg_fps)
if cv2.waitKey(1) == 27:
break
else:
print("Empty image")
time.sleep(.5)
cv2.destroyAllWindows()
def display_all(self, image, fps):
h, w, c = image.shape
print(w,h,c, end=" ")
if DISPLAY_MASK:
for pmask in PMASK:
cv2.fillPoly(image, [pmask], color=(0,0,0))
if DISPLAY_FREG:
cv2.rectangle(image, (FREG[2], FREG[0]), (FREG[3], FREG[1]), color=(64,64,64), thickness=1)
if DISPLAY_INFO:
cv2.putText(image,
"FPS: %f" % fps,
(10, 20), cv2.FONT_HERSHEY_SIMPLEX, 0.5,
(0, 255, 0), 2)
cv2.putText(image,
"RES: %dx%d" % (w, h),
(10, 40), cv2.FONT_HERSHEY_SIMPLEX, 0.5,
(0, 255, 0), 2)
if DISPLAY_GRID:
grid_clr = (0, 255, 0)
grid_thick = 1
cv2.line(image, (0, round(h/4)), (w, round(h/4)), (0,255,0), 1)
cv2.line(image, (0, round(h*3/4)), (w, round(h*3/4)), (0,255,0), 1)
cv2.line(image, (round(w/4), 0), (round(w/4), h), (0,255,0), 1)
cv2.line(image, (round(w*3/4), 0), (round(w*3/4), h), (0,255,0), 1)
cv2.imshow('Bedssys', image)
if __name__ == '__main__':
main_video()