blakeblackshear.frigate/benchmark_motion.py
2023-06-21 08:38:51 -05:00

104 lines
3.1 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/ir_off.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)
mask = create_mask(
(height, width),
[],
)
# 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",
clipLimit=2.0,
tileGridSize=(8, 8),
)
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()