def __init__(self, start, end, rate, step_size=50):
self.start = start
self.end = end
self.rate = rate
now = datetime.datetime.now()
self.log_direc = "/media/data/Data/Logs/{}_{}_{}_{}_{}/".format(
now.year, now.month, now.day, now.hour, now.minute)
try:
os.mkdir(self.log_direc)
except FileExistsError as e:
print(e)
self.i = 0
self.shaker = shaker.Shaker()
self.shaker.change_duty(self.start)
self.step_size = step_size
cam_num = camera.guess_camera_number()
port = STEPPER_CONTROL
self.ard = arduino.Arduino(port)
self.motors = stepper.Stepper(self.ard)
self.motors.move_motor(1, 100, '+')
self.motors.move_motor(2, 100, '+')
self.motors.move_motor(1, 100, '-')
self.motors.move_motor(2, 100, '-')
self.cam = camera.Camera(cam_num=cam_num)
im = self.cam.get_frame()
self.hex, self.center, self.crop, self.mask = self.find_hexagon(im)
im = images.crop_and_mask(im, self.crop, self.mask)
self.im_shape = im.shape
im = images.draw_polygon(im, self.hex)
im = images.draw_circle(im, self.center[0], self.center[1], 3)
images.display(im)
def __init__(self):
self.shaker = shaker.Shaker()
self.shaker.change_duty(600)
port = STEPPER_CONTROL
self.ard = arduino.Arduino(port)
self.motors = stepper.Stepper(self.ard)
cam_num = camera.guess_camera_number()
self.cam = camera.Camera(cam_num=cam_num)
im = self.cam.get_frame()
self.hex, self.center, self.crop, self.mask = self.find_hexagon(im)
im = images.crop_and_mask(im, self.crop, self.mask)
self.im_shape = im.shape
im = images.draw_polygon(im, self.hex)
im = images.draw_circle(im, self.center[0], self.center[1], 3)
images.display(im)
from particletracking import dataframes
from labvision import video, images
import numpy as np
import filehandling
file_store = "/media/data/Data/FirstOrder/Hysterisis/FlatPlate/Trial2/0.2_up_1.hdf5"
file_vid = "/media/data/Data/FirstOrder/Hysterisis/FlatPlate/Trial2/0.2_up_1.MP4"
metadata = dataframes.load_metadata(file_store)
vid = video.ReadVideo(file_vid)
box = metadata['crop']
frame = vid.read_frame(vid.num_frames - 1)
frame = images.crop(frame, box)
xmin = 750
xmax = 1250
ymin = 750
ymax = 1250
vertices = np.array([[xmin, ymin], [xmin, ymax], [xmax, ymax], [xmax, ymin]])
frame = images.draw_polygon(frame, vertices, thickness=3)
images.save(
frame,
"/media/data/Data/FirstOrder/Hysterisis/FlatPlate/Trial2/HexagonFigures/box_end.png"
)
images.display(frame)
frame = up_video.read_next_frame()
frame = images.crop(frame, up_data.metadata['crop'])
result = images.crop_polygon(frame)
bbox = result.bbox
with open(save_direc + 'bbox.txt', 'w') as f:
f.writelines([
'BBOX xmin, xmax, ymin, ymax',
str(bbox.xmin),
str(bbox.xmax),
str(bbox.ymin),
str(bbox.ymax)
])
frame = images.draw_polygon(
frame,
np.array([[bbox.xmin, bbox.ymin], [bbox.xmin, bbox.ymax],
[bbox.xmax, bbox.ymax], [bbox.xmax, bbox.ymin]],
dtype=np.float32),
color=images.RED,
thickness=2)
images.save(frame, save_direc + 'im.png')
down_df = down_data.df[down_data.df.x.between(bbox.xmin, bbox.xmax)]
down_df = down_df[down_df.y.between(bbox.ymin, bbox.ymax)]
up_df = up_data.df[up_data.df.x.between(bbox.xmin, bbox.xmax)]
up_df = up_df[up_df.y.between(bbox.ymin, bbox.ymax)]
# down_duty, down_density = density_duty_mapped(down_df)
# up_duty, up_density = density_duty_mapped(up_df)
down_duty, down_density = density_duty_mapped(down_df)
