python - 虚假陈述的范围问题
问题描述
- Python版本:3.7.3
- TensorFlow 版本:2.2.0
- 操作系统:Raspbian
我正在尝试让我的 Raspberry Pi 成功扫描,然后按照这个存储库跟踪 RPi 相机。当我发出“rpi-deep-pantilt track Raspi”命令时,它成功地开始在静止位置检测,当它检测到物体时,它开始跟踪。我需要它进行扫描,在检测时来回平移 60 度增量,因此我将粗体线合并到 manager.py 脚本中:
import logging
from multiprocessing import Value, Process, Manager
import pantilthat as pth
import signal
import sys
**import time
import RPi.GPIO as GPIO**
**from rpi_deep_pantilt.detect.util.visualization import draw_bounding_box_on_image**
from rpi_deep_pantilt.detect.camera import run_pantilt_detect
from rpi_deep_pantilt.control.pid import PIDController
**#Specifying GPIO Pin name
GPIO.setmode(GPIO.BCM)
GPIO.setwarnings(False)
GPIO.setup(8,GPIO.OUT)**
logging.basicConfig()
LOGLEVEL = logging.getLogger().getEffectiveLevel()
RESOLUTION = (320, 320)
SERVO_MIN = -90
SERVO_MAX = 90
CENTER = (
RESOLUTION[0] // 2,
RESOLUTION[1] // 2
)
# function to handle keyboard interrupt
def signal_handler(sig, frame):
# print a status message
print("[INFO] You pressed `ctrl + c`! Exiting...")
# disable the servos
pth.servo_enable(1, False)
pth.servo_enable(2, False)
GPIO.output(8,GPIO.LOW)
# exit
sys.exit()
def in_range(val, start, end):
# determine the input value is in the supplied range
return (val >= start and val <= end)
def set_servos(pan, tilt):
# signal trap to handle keyboard interrupt
signal.signal(signal.SIGINT, signal_handler)
**scan_on=True**
while True:
pan_angle = -1 * pan.value
tilt_angle = tilt.value
# if the pan angle is within the range, pan
if in_range(pan_angle, SERVO_MIN, SERVO_MAX):
pth.pan(pan_angle)
else:
logging.info(f'pan_angle not in range {pan_angle}')
if in_range(tilt_angle, SERVO_MIN, SERVO_MAX):
pth.tilt(tilt_angle)
else:
logging.info(f'tilt_angle not in range {tilt_angle}')
draw_bounding_box_on_image
**while scan_on == True:
pth.servo_one(90)
pth.servo_two(25)
time.sleep(10)
pth.servo_one(30)
pth.servo_two(25)
time.sleep(10)
pth.servo_one(-30)
pth.servo_two(25)
time.sleep(10)
pth.servo_one(-90)
pth.servo_two(25)
time.sleep(10)
continue**
.
.
最后几行是扫描程序。它们可以工作,但是一旦检测到对象,它就不会退出扫描周期。这是导入到 manager.py 的 visualizion.py 脚本的功能:
def draw_bounding_box_on_image(image,
ymin,
xmin,
ymax,
xmax,
color='red',
thickness=4,
display_str_list=(),
use_normalized_coordinates=True):
**GPIO.output(8,GPIO.HIGH)
scan_on = False**
draw = ImageDraw.Draw(image)
im_width, im_height = image.size
if use_normalized_coordinates:
(left, right, top, bottom) = (xmin * im_width, xmax * im_width,
ymin * im_height, ymax * im_height)
else:
(left, right, top, bottom) = (xmin, xmax, ymin, ymax)
draw.line([(left, top), (left, bottom), (right, bottom),
(right, top), (left, top)], width=thickness, fill=color)
try:
font = ImageFont.truetype('arial.ttf', 24)
except IOError:
font = ImageFont.load_default()
# If the total height of the display strings added to the top of the bounding
# box exceeds the top of the image, stack the strings below the bounding box
# instead of above.
display_str_heights = [font.getsize(ds)[1] for ds in display_str_list]
# Each display_str has a top and bottom margin of 0.05x.
total_display_str_height = (1 + 2 * 0.05) * sum(display_str_heights)
if top > total_display_str_height:
text_bottom = top
else:
text_bottom = bottom + total_display_str_height
# Reverse list and print from bottom to top.
for display_str in display_str_list[::-1]:
text_width, text_height = font.getsize(display_str)
margin = np.ceil(0.05 * text_height)
draw.rectangle(
[(left, text_bottom - text_height - 2 * margin), (left + text_width,
text_bottom)],
fill=color)
draw.text(
(left + margin, text_bottom - text_height - margin),
display_str,
fill='black',
font=font)
text_bottom -= text_height - 2 * margin
return scan_on
我使用 GPIO 点亮了一个 LED,让我知道边界框何时覆盖在相机馈送上。此时我的系统应该识别出它scan_on = False
,它应该退出扫描周期并恢复到默认跟踪模式。我的 manager.py 脚本不能拾取它,因为它会继续运行扫描,这意味着scan_on = True
.
解决方案
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