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wxchen
2022-12-29 23:08:25 +08:00
commit 21ad625896
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""" Node to publish max depth value when gel is deformed """
import os
import hydra
import rospy
from std_msgs.msg import Float32
from digit_depth.third_party import geom_utils
from digit_depth.digit.digit_sensor import DigitSensor
from digit_depth.train.mlp_model import MLP
from digit_depth.train.prepost_mlp import *
seed = 42
torch.seed = seed
device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
BASE_PATH = os.path.abspath(os.path.join(os.path.dirname(__file__), "../.."))
@hydra.main(config_path=f"{BASE_PATH}/config", config_name="rgb_to_normal.yaml", version_base=None)
def print_depth(cfg):
model = torch.load(cfg.model_path).to(device)
model.eval()
# setup digit sensor
digit = DigitSensor(30, "QVGA", cfg.sensor.serial_num)
digit_call = digit()
pub = rospy.Publisher('chatter', Float32, queue_size=1)
rospy.init_node('depth', anonymous=True)
try:
while not rospy.is_shutdown():
frame = digit_call.get_frame()
img_np = preproc_mlp(frame)
img_np = model(img_np).detach().cpu().numpy()
img_np, normal_img = post_proc_mlp(img_np)
# get gradx and grady
gradx_img, grady_img = geom_utils._normal_to_grad_depth(img_normal=img_np, gel_width=cfg.sensor.gel_width,
gel_height=cfg.sensor.gel_height,bg_mask=None)
# reconstruct depth
img_depth = geom_utils._integrate_grad_depth(gradx_img, grady_img, boundary=None, bg_mask=None,max_depth=0.0237)
img_depth = img_depth.detach().cpu().numpy().flatten()
# get max depth value
max_depth = np.min(img_depth)
rospy.loginfo(f"max:{max_depth}")
img_depth_calibrated = np.abs((max_depth - 0.02362))
# publish max depth value
pub.publish(Float32(img_depth_calibrated*10000)) # convert to mm
except KeyboardInterrupt:
print("Shutting down")
digit().disconnect()
if __name__ == "__main__":
rospy.loginfo("starting...")
print_depth()