mirror of
https://github.com/blakeblackshear/frigate.git
synced 2025-10-27 10:52:11 +01:00
d51197eaa2
* use a different method for blur and contrast to reduce CPU * blur with radius instead * use faster interpolation for motion * improve contrast based on averages * increase default threshold to 30 * ensure mask is applied after contrast improvement * update opencv * update benchmark script
119 lines
3.8 KiB
Python
119 lines
3.8 KiB
Python
import datetime
|
|
import multiprocessing as mp
|
|
import os
|
|
|
|
import cv2
|
|
import numpy as np
|
|
|
|
from frigate.config import MotionConfig
|
|
from frigate.motion.improved_motion import ImprovedMotionDetector
|
|
from frigate.util import create_mask
|
|
|
|
# get info on the video
|
|
# cap = cv2.VideoCapture("debug/front_cam_2023_05_23_08_41__2023_05_23_08_43.mp4")
|
|
# cap = cv2.VideoCapture("debug/motion_test_clips/rain_1.mp4")
|
|
cap = cv2.VideoCapture("debug/motion_test_clips/lawn_mower_night_1.mp4")
|
|
# cap = cv2.VideoCapture("airport.mp4")
|
|
width = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH))
|
|
height = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))
|
|
fps = cap.get(cv2.CAP_PROP_FPS)
|
|
frame_shape = (height, width, 3)
|
|
# Nick back:
|
|
# "1280,0,1280,316,1170,216,1146,126,1016,127,979,82,839,0",
|
|
# "310,350,300,402,224,405,241,354",
|
|
# "378,0,375,26,0,23,0,0",
|
|
# Front door:
|
|
# "1080,0,1080,339,1010,280,1020,169,777,163,452,170,318,299,191,365,186,417,139,470,108,516,40,530,0,514,0,0",
|
|
# "336,833,438,1024,346,1093,103,1052,24,814",
|
|
# Back
|
|
# "1855,0,1851,100,1289,96,1105,161,1045,119,890,121,890,0",
|
|
# "505,95,506,138,388,153,384,114",
|
|
# "689,72,689,122,549,134,547,89",
|
|
# "261,134,264,176,169,195,167,158",
|
|
# "145,159,146,202,70,220,65,183",
|
|
|
|
mask = create_mask(
|
|
(height, width),
|
|
[
|
|
"1080,0,1080,339,1010,280,1020,169,777,163,452,170,318,299,191,365,186,417,139,470,108,516,40,530,0,514,0,0",
|
|
"336,833,438,1024,346,1093,103,1052,24,814",
|
|
],
|
|
)
|
|
|
|
# create the motion config
|
|
motion_config_1 = MotionConfig()
|
|
motion_config_1.mask = np.zeros((height, width), np.uint8)
|
|
motion_config_1.mask[:] = mask
|
|
# motion_config_1.improve_contrast = 1
|
|
motion_config_1.frame_height = 150
|
|
# motion_config_1.frame_alpha = 0.02
|
|
# motion_config_1.threshold = 30
|
|
# motion_config_1.contour_area = 10
|
|
|
|
motion_config_2 = MotionConfig()
|
|
motion_config_2.mask = np.zeros((height, width), np.uint8)
|
|
motion_config_2.mask[:] = mask
|
|
# motion_config_2.improve_contrast = 1
|
|
motion_config_2.frame_height = 150
|
|
# motion_config_2.frame_alpha = 0.01
|
|
motion_config_2.threshold = 20
|
|
# motion_config.contour_area = 10
|
|
|
|
save_images = True
|
|
|
|
improved_motion_detector_1 = ImprovedMotionDetector(
|
|
frame_shape=frame_shape,
|
|
config=motion_config_1,
|
|
fps=fps,
|
|
improve_contrast=mp.Value("i", motion_config_1.improve_contrast),
|
|
threshold=mp.Value("i", motion_config_1.threshold),
|
|
contour_area=mp.Value("i", motion_config_1.contour_area),
|
|
name="default",
|
|
)
|
|
improved_motion_detector_1.save_images = save_images
|
|
|
|
improved_motion_detector_2 = ImprovedMotionDetector(
|
|
frame_shape=frame_shape,
|
|
config=motion_config_2,
|
|
fps=fps,
|
|
improve_contrast=mp.Value("i", motion_config_2.improve_contrast),
|
|
threshold=mp.Value("i", motion_config_2.threshold),
|
|
contour_area=mp.Value("i", motion_config_2.contour_area),
|
|
name="compare",
|
|
)
|
|
improved_motion_detector_2.save_images = save_images
|
|
|
|
# read and process frames
|
|
ret, frame = cap.read()
|
|
frame_counter = 1
|
|
while ret:
|
|
yuv_frame = cv2.cvtColor(frame, cv2.COLOR_BGR2YUV_I420)
|
|
|
|
start_frame = datetime.datetime.now().timestamp()
|
|
improved_motion_detector_1.detect(yuv_frame)
|
|
|
|
start_frame = datetime.datetime.now().timestamp()
|
|
improved_motion_detector_2.detect(yuv_frame)
|
|
|
|
default_frame = f"debug/frames/default-{frame_counter}.jpg"
|
|
compare_frame = f"debug/frames/compare-{frame_counter}.jpg"
|
|
if os.path.exists(default_frame) and os.path.exists(compare_frame):
|
|
images = [
|
|
cv2.imread(default_frame),
|
|
cv2.imread(compare_frame),
|
|
]
|
|
|
|
cv2.imwrite(
|
|
f"debug/frames/all-{frame_counter}.jpg",
|
|
cv2.vconcat(images)
|
|
if frame_shape[0] > frame_shape[1]
|
|
else cv2.hconcat(images),
|
|
)
|
|
os.unlink(default_frame)
|
|
os.unlink(compare_frame)
|
|
frame_counter += 1
|
|
|
|
ret, frame = cap.read()
|
|
|
|
cap.release()
|