chrismatthieu

#!/usr/bin/env python3

import pyrealsense2 as rs
import numpy as np
import cv2
import torch
from ultralytics import YOLO
import rclpy
from rclpy.node import Node
from geometry_msgs.msg import Twist

chrismatthieu

import pyrealsense2 as rs
import numpy as np
import cv2
import json  # Add import for JSON

# Load YOLOv3 model
net = cv2.dnn.readNet("yolov3.weights", "yolov3.cfg")
layer_names = net.getLayerNames()
output_layers = [layer_names[i - 1] for i in net.getUnconnectedOutLayers()]

chrismatthieu

import pyrealsense2 as rs
import numpy as np
import cv2

# Load YOLOv3 model
net = cv2.dnn.readNet("yolov3.weights", "yolov3.cfg")
layer_names = net.getLayerNames()
output_layers = [layer_names[i - 1] for i in net.getUnconnectedOutLayers()]

# Initialize RealSense camera

chrismatthieu

//import robotics from 'robotics-dev';
const robotics = require('robotics-dev');

// Define ROS twist movement commands
const moveForward = {
    linear: {x: 0.2, y: 0.0, z: 0.0},
    angular: {x: 0.0, y: 0.0, z: 0.0}
};
const turnLeft = {
    linear: {x: 0.0, y: 0.0, z: 0.0},

chrismatthieu

 // Raspberry Pi Pico
 // https://datasheets.raspberrypi.org/pico/Pico-R3-A4-Pinout.pdf
 #elif defined(TARGET_RP2040) || defined(TARGET_RASPBERRY_PI_PICO)
 #define TOTAL_ANALOG_PINS       4
 #define TOTAL_PINS              30
 #define VERSION_BLINK_PIN       LED_BUILTIN
 #define IS_PIN_DIGITAL(p)       (((p) >= 0 && (p) < 23) || (p) == LED_BUILTIN)
 #define IS_PIN_ANALOG(p)        ((p) >= 26 && (p) < 26 + TOTAL_ANALOG_PINS)
 #define IS_PIN_PWM(p)           digitalPinHasPWM(p)
 #define IS_PIN_SERVO(p)         (IS_PIN_DIGITAL(p) && (p) != LED_BUILTIN)

chrismatthieu

#!/usr/bin/env python3

import rclpy
from rclpy.node import Node
from geometry_msgs.msg import Twist
import pyrealsense2 as rs
import numpy as np

class ObstacleAvoidanceRobot(Node):
    def __init__(self):

chrismatthieu

print("hello world")

chrismatthieu

echo "Hello world!"

chrismatthieu

import sys
import rclpy
from rclpy.node import Node
from geometry_msgs.msg import Twist
import cv2
import numpy as np
import pyrealsense2 as rs
from ultralytics import YOLO

def check_dependencies():

chrismatthieu

import pyrealsense2 as rs
import numpy as np
import cv2

# Load YOLOv3 model
net = cv2.dnn.readNet("yolov3.weights", "yolov3.cfg")
layer_names = net.getLayerNames()
output_layers = [layer_names[i - 1] for i in net.getUnconnectedOutLayers().flatten()]

# Load COCO class labels