logdog

import os
from glob import glob
from setuptools import find_packages, setup


package_name = 'ur3e_on_table'

setup(
    name=package_name,
    version='0.0.0',

logdog

import rclpy
from rclpy.node import Node
from sensor_msgs.msg import JointState
import numpy as np

def linear_interpolate(p1, p2, a):
    return (1-a)*p1 + a*p2

class JointPublisherPickAndPlace(Node):

logdog

Panels:
  - Class: rviz_common/Displays
    Help Height: 78
    Name: Displays
    Property Tree Widget:
      Expanded:
        - /Global Options1
        - /Status1
        - /RobotModel1
        - /RobotModel1/Links1

logdog

import numpy as np
import skimage
import skimage.io as io
import matplotlib.pyplot as plt
from pycocotools.coco import COCO
import cv2  # pip install opencv-python


# Input
class_list = [ 'pizza' , 'cat' , 'bus']

logdog

pdfcode = """
# Input
input_json = ’ i n s t a n c e s _ t r a i n 2 0 1 4 . json ’
3 class_list = [ ’ pizza ’ , ’ cat ’ , ’ bus ’]
1
2
4
# ##########################
# Mapping from COCO label to Class indices
7 coco_labels_inverse = {}