diff --git a/appVideoServer/data/settings/callibration_cam0.npz b/appVideoServer/data/settings/callibration_cam0.npz
new file mode 100644
index 0000000..040851c
Binary files /dev/null and b/appVideoServer/data/settings/callibration_cam0.npz differ
diff --git a/appVideoServer/data/settings/callibration_cam0_720.npz b/appVideoServer/data/settings/callibration_cam0_720.npz
new file mode 100644
index 0000000..8d20672
Binary files /dev/null and b/appVideoServer/data/settings/callibration_cam0_720.npz differ
diff --git a/appVideoServer/data/settings/callibration_cam1.npz b/appVideoServer/data/settings/callibration_cam1.npz
new file mode 100644
index 0000000..867ef58
Binary files /dev/null and b/appVideoServer/data/settings/callibration_cam1.npz differ
diff --git a/appVideoServer/data/settings/callibration_cam1_720.npz b/appVideoServer/data/settings/callibration_cam1_720.npz
new file mode 100644
index 0000000..a85a40b
Binary files /dev/null and b/appVideoServer/data/settings/callibration_cam1_720.npz differ
diff --git a/appVideoServer/data/settings/camera_intrinsics_v0.npz b/appVideoServer/data/settings/camera_intrinsics_v0.npz
new file mode 100644
index 0000000..f894cc2
Binary files /dev/null and b/appVideoServer/data/settings/camera_intrinsics_v0.npz differ
diff --git a/appVideoServer/data/settings/camera_intrinsics_v1.npz b/appVideoServer/data/settings/camera_intrinsics_v1.npz
new file mode 100644
index 0000000..9681556
Binary files /dev/null and b/appVideoServer/data/settings/camera_intrinsics_v1.npz differ
diff --git a/appVideoServer/data/settings/settings.json b/appVideoServer/data/settings/settings.json
new file mode 100644
index 0000000..ada9ccc
--- /dev/null
+++ b/appVideoServer/data/settings/settings.json
@@ -0,0 +1,10 @@
+{ "coordinateSystem":{
+ "MarkersUsed":"DICT_4X4_250",
+ "KnownMarkers":
+ {
+ "50": [0.0, 0.0, 0.0],
+ "71": [0.140, 0.0, 0.0],
+ "101": [0.0, -0.080, 0.0]
+ }
+ }
+}
diff --git a/appVideoServer/data/settings/settingsBoard.json b/appVideoServer/data/settings/settingsBoard.json
new file mode 100644
index 0000000..89ea18b
--- /dev/null
+++ b/appVideoServer/data/settings/settingsBoard.json
@@ -0,0 +1,10 @@
+{ "coordinateSystem":{
+ "MarkersUsed":"DICT_4X4_250",
+ "KnownMarkers":
+ {
+ "50": [0.0, 0.0, 0.0],
+ "71": [0.140, 0.0, 0.0],
+ "101": [0.0, -0.080, 0.0]
+ }
+ }
+}
diff --git a/appVideoServer/data/settings/settingsMachine.json b/appVideoServer/data/settings/settingsMachine.json
new file mode 100644
index 0000000..46d24c7
--- /dev/null
+++ b/appVideoServer/data/settings/settingsMachine.json
@@ -0,0 +1,10 @@
+{ "coordinateSystem":{
+ "MarkersUsed":"DICT_4X4_250",
+ "KnownMarkers":
+ {
+ "58": [0.0, 0.0, 0.0],
+ "65": [0.161, 0.0, 0.0],
+ "75": [0.0, -0.070, 0.0]
+ }
+ }
+}
diff --git a/appVideoServer/https/server.crt b/appVideoServer/https/server.crt
new file mode 100644
index 0000000..0fb61c6
--- /dev/null
+++ b/appVideoServer/https/server.crt
@@ -0,0 +1,29 @@
+-----BEGIN CERTIFICATE-----
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+-----END CERTIFICATE-----
diff --git a/appVideoServer/https/server.key b/appVideoServer/https/server.key
new file mode 100644
index 0000000..1e18749
--- /dev/null
+++ b/appVideoServer/https/server.key
@@ -0,0 +1,52 @@
+-----BEGIN PRIVATE KEY-----
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+-----END PRIVATE KEY-----
diff --git a/appVideoServer/package-lock.json b/appVideoServer/package-lock.json
new file mode 100644
index 0000000..53f363e
--- /dev/null
+++ b/appVideoServer/package-lock.json
@@ -0,0 +1,1192 @@
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+ "dev": true,
+ "bin": {
+ "nodetouch": "bin/nodetouch.js"
+ }
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+ "resolved": "https://registry.npmjs.org/type-is/-/type-is-1.6.18.tgz",
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+ "dependencies": {
+ "media-typer": "0.3.0",
+ "mime-types": "~2.1.24"
+ },
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+ }
+ },
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+ }
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+ "engines": {
+ "node": ">= 0.8"
+ }
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+ "node_modules/ws": {
+ "version": "8.18.3",
+ "resolved": "https://registry.npmjs.org/ws/-/ws-8.18.3.tgz",
+ "integrity": "sha512-PEIGCY5tSlUt50cqyMXfCzX+oOPqN0vuGqWzbcJ2xvnkzkq46oOpz7dQaTDBdfICb4N14+GARUDw2XV2N4tvzg==",
+ "engines": {
+ "node": ">=10.0.0"
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+ "peerDependencies": {
+ "bufferutil": "^4.0.1",
+ "utf-8-validate": ">=5.0.2"
+ },
+ "peerDependenciesMeta": {
+ "bufferutil": {
+ "optional": true
+ },
+ "utf-8-validate": {
+ "optional": true
+ }
+ }
+ }
+ }
+}
diff --git a/appVideoServer/package.json b/appVideoServer/package.json
new file mode 100644
index 0000000..a4116ed
--- /dev/null
+++ b/appVideoServer/package.json
@@ -0,0 +1,20 @@
+{
+ "name": "video-streamer",
+ "version": "1.1.0",
+ "description": "HTTPS + WSS dual-camera MJPEG streamer (modular)",
+ "main": "server.js",
+ "type": "commonjs",
+ "scripts": {
+ "start": "node server.js",
+ "dev": "PORT=8443 nodemon server.js"
+ },
+ "dependencies": {
+ "compression": "^1.7.4",
+ "express": "^4.21.1",
+ "helmet": "^7.1.0",
+ "ws": "^8.18.0"
+ },
+ "devDependencies": {
+ "nodemon": "^3.1.7"
+ }
+}
\ No newline at end of file
diff --git a/appVideoServer/programs/driver.js b/appVideoServer/programs/driver.js
new file mode 100644
index 0000000..0ffdbed
--- /dev/null
+++ b/appVideoServer/programs/driver.js
@@ -0,0 +1,71 @@
+const WebSocket = require("ws");
+
+/**
+ * Forwards WebSocket messages between browser clients (/robot)
+ * and a target WebSocket server (behind a firewall).
+ *
+ * @param {WebSocket.Server} wssInput - Local WebSocket server for browser clients
+ * @param {string} targetUrl - URL of target WebSocket server, e.g. "wss://internal.local:8080"
+ */
+function setupCommandForwarding(wssInput, targetUrl) {
+ let targetSocket;
+ const clients = new Set();
+
+ function connectTarget() {
+ console.log(`🔌 Connecting to target server: ${targetUrl}`);
+ targetSocket = new WebSocket(targetUrl);
+
+ targetSocket.on("open", () => {
+ console.log("✅ Connected to target server");
+ });
+
+ targetSocket.on("message", (msg) => {
+ const data = msg.toString();
+ console.log("⬅️ Message from target:", data);
+ // Broadcast to all connected browsers
+ for (const client of clients) {
+ if (client.readyState === WebSocket.OPEN) {
+ client.send(data);
+ }
+ }
+ });
+
+ targetSocket.on("close", () => {
+ console.warn("⚠️ Target connection closed. Reconnecting in 5s...");
+ setTimeout(connectTarget, 5000);
+ });
+
+ targetSocket.on("error", (err) => {
+ console.error("❌ Target connection error:", err.message);
+ });
+ }
+
+ connectTarget();
+
+ // When a browser connects to /robot
+ wssInput.on("connection", (ws, req) => {
+ console.log("🤖 Browser connected:", req.socket.remoteAddress);
+ clients.add(ws);
+
+ ws.on("message", (msg) => {
+ const data = msg.toString();
+ console.log("➡️ From browser → target:", data);
+ if (targetSocket?.readyState === WebSocket.OPEN) {
+ targetSocket.send(data);
+ } else {
+ console.warn("⚠️ Target not connected. Message dropped.");
+ }
+ });
+
+ ws.on("close", () => {
+ clients.delete(ws);
+ console.log("🔌 Browser disconnected");
+ });
+
+ ws.on("error", (err) => {
+ console.error("❌ Browser socket error:", err.message);
+ });
+ });
+}
+
+module.exports = { setupCommandForwarding };
\ No newline at end of file
diff --git a/appVideoServer/programs/input.js b/appVideoServer/programs/input.js
new file mode 100644
index 0000000..a8a3254
--- /dev/null
+++ b/appVideoServer/programs/input.js
@@ -0,0 +1,49 @@
+// programs/input.js
+'use strict';
+
+const fs = require('fs');
+const path = require('path');
+
+function byIdCaptureCandidates() {
+ const dir = '/dev/v4l/by-id';
+ try {
+ if (!fs.existsSync(dir)) return [];
+ return fs.readdirSync(dir)
+ .filter(n => n.endsWith('-index0'))
+ .map(n => fs.realpathSync(path.join(dir, n)));
+ } catch {
+ return [];
+ }
+}
+
+function naiveVideoNodes() {
+ try {
+ return fs.readdirSync('/dev')
+ .filter(n => /^video\d+$/.test(n))
+ .map(n => path.join('/dev', n))
+ .sort((a, b) => Number(a.replace(/\D/g, '')) - Number(b.replace(/\D/g, '')));
+ } catch {
+ return ['/dev/video0', '/dev/video2'];
+ }
+}
+
+function pickDevices(env = process.env) {
+ const DEV0 = env.DEV0 || null;
+ const DEV1 = env.DEV1 || null;
+
+ if (DEV0 && DEV1) return [DEV0, DEV1];
+
+ const byId = byIdCaptureCandidates();
+ if (DEV0 || DEV1) {
+ const pool = byId.length ? byId : naiveVideoNodes();
+ const d0 = DEV0 || pool[0];
+ const d1 = DEV1 || pool.find(d => d !== d0) || pool[1];
+ return [d0, d1];
+ }
+
+ if (byId.length >= 2) return [byId[0], byId[1]];
+ const naive = naiveVideoNodes();
+ return [naive[0], naive[1]];
+}
+
+module.exports = { pickDevices };
\ No newline at end of file
diff --git a/appVideoServer/programs/log.js b/appVideoServer/programs/log.js
new file mode 100644
index 0000000..bde9330
--- /dev/null
+++ b/appVideoServer/programs/log.js
@@ -0,0 +1,165 @@
+// programs/log.js
+'use strict';
+
+const fs = require('fs');
+const path = require('path');
+
+// --- configuration ---
+const LOG_DIR = path.join(__dirname, '..', 'logs');
+fs.mkdirSync(LOG_DIR, { recursive: true });
+
+function getLogFilePath(d = new Date()) {
+ const yyyy = d.getFullYear();
+ const mm = String(d.getMonth() + 1).padStart(2, '0');
+ const dd = String(d.getDate()).padStart(2, '0');
+ return path.join(LOG_DIR, `${yyyy}_${mm}_${dd}.txt`);
+}
+
+function write(obj) {
+ const line = JSON.stringify(obj) + '\n';
+ fs.appendFile(getLogFilePath(), line, (err) => {
+ if (err) console.error('[log] write error:', err);
+ });
+}
+
+// --- common extractors ---
+function commonFromReq(req) {
+ try {
+ const xff = req?.headers?.['x-forwarded-for'];
+ const xRealIp = req?.headers?.['x-real-ip'];
+ const ipFromXff = xff ? xff.split(',')[0].trim() : null;
+ const ip =
+ ipFromXff ||
+ xRealIp ||
+ req?.ip ||
+ req?.socket?.remoteAddress ||
+ null;
+
+ const tls =
+ req?.socket?.encrypted
+ ? {
+ protocol:
+ typeof req.socket.getProtocol === 'function'
+ ? req.socket.getProtocol()
+ : null,
+ cipher:
+ typeof req.socket.getCipher === 'function'
+ ? (req.socket.getCipher() || {}).name
+ : null,
+ }
+ : null;
+
+ // MAC is not available across routed networks
+ const mac = null;
+
+ return {
+ ip,
+ ips: Array.isArray(req?.ips) ? req.ips : [],
+ xff: xff || null,
+ remoteAddress: req?.socket?.remoteAddress || null,
+ remoteFamily: req?.socket?.remoteFamily || null,
+ userAgent: req?.headers?.['user-agent'] || null,
+ acceptLanguage: req?.headers?.['accept-language'] || null,
+ secChUa: req?.headers?.['sec-ch-ua'] || null,
+ secChUaPlatform: req?.headers?.['sec-ch-ua-platform'] || null,
+ secChUaMobile: req?.headers?.['sec-ch-ua-mobile'] || null,
+ referer: req?.headers?.['referer'] || null,
+ tls,
+ mac,
+ };
+ } catch {
+ return {};
+ }
+}
+
+function commonFromSocket(socket) {
+ return {
+ remoteAddress: socket?.remoteAddress || null,
+ remoteFamily: socket?.remoteFamily || null,
+ };
+}
+
+// --- specific log functions ---
+function logHttpRequest(req) {
+ write({
+ ts: new Date().toISOString(),
+ type: 'http',
+ method: req?.method || null,
+ url: (req?.originalUrl ?? req?.url) || null,
+ ...commonFromReq(req),
+ });
+}
+
+function logTcpConnection(socket) {
+ write({
+ ts: new Date().toISOString(),
+ type: 'tcp',
+ ...commonFromSocket(socket),
+ });
+}
+
+function logHttpUpgrade(req) {
+ write({
+ ts: new Date().toISOString(),
+ type: 'http-upgrade',
+ url: req?.url || null,
+ ...commonFromReq(req),
+ });
+}
+
+function logWssConnected(req) {
+ write({
+ ts: new Date().toISOString(),
+ type: 'wss',
+ url: req?.url || null,
+ ...commonFromReq(req),
+ });
+}
+
+function logWssClosed(req, code, reason) {
+ write({
+ ts: new Date().toISOString(),
+ type: 'wss-close',
+ url: req?.url || null,
+ code: typeof code === 'number' ? code : null,
+ reason: reason ? reason.toString() : null,
+ ...commonFromReq(req),
+ });
+}
+
+function logSnapshot(python, response){
+ write({
+ ts: new Date().toISOString(),
+ type: 'snapshot',
+ command: python.toString(),
+ wsResponse: response.toString()
+ })
+}
+
+// --- generic hooks you requested ---
+function connected(context = {}) {
+ write({
+ ts: new Date().toISOString(),
+ type: 'connected',
+ ...context,
+ });
+}
+
+function connectionLost(context = {}) {
+ write({
+ ts: new Date().toISOString(),
+ type: 'connection-lost',
+ ...context,
+ });
+}
+
+module.exports = {
+ logHttpRequest,
+ logTcpConnection,
+ logHttpUpgrade,
+ logWssConnected,
+ logSnapshot,
+ logWssClosed,
+ connected,
+ connectionLost,
+};
diff --git a/appVideoServer/programs/readCamPos.py b/appVideoServer/programs/readCamPos.py
new file mode 100644
index 0000000..1cb1371
--- /dev/null
+++ b/appVideoServer/programs/readCamPos.py
@@ -0,0 +1,369 @@
+#!/usr/bin/env python3
+"""
+ArUco detection with multi-marker machine-frame fit + camera pose output (OpenCV >= 4.8).
+
+- Reads: webCam_1.jpg
+- Detects DICT_4X4_250 markers (ids expected: 0, 5, 10, 15)
+- Uses multiple reference markers with known machine coordinates to fit camera->machine transform
+- Reports positions/orientations of all markers **and the camera** in machine coordinates
+- Draws detected markers, per-marker axes, and the machine axes
+- Saves: webCam_1a.jpg (annotated) and marker_poses_machine.csv (poses incl. camera)
+
+
+Usage:
+ python3 readCamPos.py -i snapshot_video1_1764493534200.jpg -npz camera_intrinsics_v0.npz -setting settings.json
+
+
+"""
+import faulthandler
+faulthandler.enable()
+
+import argparse
+import os
+import sys
+import csv
+import json
+import time
+from typing import Tuple, Dict, List
+import numpy as np
+import cv2
+
+
+
+# ----------------------- Configuration Defaults -----------------------
+IMAGE_PATH = "default.jpg"
+OUTPUT_IMAGE_PATH = "default.jpg"
+OUTPUT_CSV_PATH = "default.csv"
+OUTPUT_JSON_PATH = "default.json"
+
+# Marker side length in meters (25 mm)
+MARKER_LENGTH_M = 0.025
+
+# Axis lengths for visualization (in meters)
+AXIS_LENGTH_M = 0.05 # per-marker axis
+MACHINE_AXIS_X_M = 0.200 # 200 mm along +X
+MACHINE_AXIS_Y_M = -0.100 # -100 mm along Y (towards camera per description)
+MACHINE_AXIS_Z_M = 0.100 # +Z visualized as 100 mm
+
+# Known machine coordinates for reference markers (meters)
+cam_anchor_pts = {}
+
+EXPECTED_IDS = {50, 71, 101}
+
+# ----------------------- Utilities -----------------------
+
+def load_intrinsics_npz(npz_path: str) -> Tuple[np.ndarray, np.ndarray]:
+ if os.path.exists(npz_path):
+
+ print("NPZ from File:", npz_path)
+ data = np.load(npz_path)
+ for k in ('camera_matrix', 'mtx', 'K'):
+ if k in data:
+ camera_matrix = data[k].astype(np.float32)
+ break
+ else:
+ raise KeyError("Camera matrix not found.")
+ for k in ('dist_coeffs', 'dist', 'D'):
+ if k in data:
+ dist = data[k].astype(np.float32).reshape(-1, 1)
+ break
+ else:
+ dist = np.zeros((5, 1), dtype=np.float32)
+ return camera_matrix, dist
+
+ camera_matrix = np.array([[1400, 0, 640],
+ [0, 1400, 360],
+ [0, 0, 1]], dtype=np.float32)
+
+ dist_coeffs = np.zeros((5, 1), dtype=np.float32)
+
+ print("[WARN] Using default approximate intrinsics.")
+ return camera_matrix, dist_coeffs
+
+
+def rvec_to_R(rvec: np.ndarray) -> np.ndarray:
+ R, _ = cv2.Rodrigues(rvec)
+ return R
+
+
+def R_to_euler_zyx(R: np.ndarray) -> Tuple[float, float, float]:
+ yaw = float(np.degrees(np.arctan2(R[1,0], R[0,0])))
+ sp = np.sqrt(R[2,1]**2 + R[2,2]**2)
+ pitch = float(np.degrees(np.arctan2(-R[2,0], sp)))
+ roll = float(np.degrees(np.arctan2(R[2,1], R[2,2])))
+ return roll, pitch, yaw
+
+
+def corners_to_image_points(corners: np.ndarray) -> np.ndarray:
+ return corners.reshape(4, 2).astype(np.float32)
+
+
+def get_detector():
+ dictionary = cv2.aruco.getPredefinedDictionary(cv2.aruco.DICT_4X4_250)
+ try:
+ params = cv2.aruco.DetectorParameters()
+ except Exception:
+ params = cv2.aruco.DetectorParameters_create()
+ try:
+ detector = cv2.aruco.ArucoDetector(dictionary, params)
+ return detector, None
+ except Exception:
+ return None, (dictionary, params)
+
+
+def detect_markers(image: np.ndarray, detector_tuple):
+ detector, fallback = detector_tuple
+ print(detector)
+ if detector is not None:
+ corners, ids, rejected = detector.detectMarkers(image)
+ else:
+ dictionary, params = fallback
+ corners, ids, rejected = cv2.aruco.detectMarkers(image, dictionary, parameters=params)
+ return corners, ids, rejected
+
+
+def rigid_transform_no_scale(A: np.ndarray, B: np.ndarray) -> Tuple[np.ndarray, np.ndarray]:
+ assert A.shape == B.shape and A.shape[1] == 3, "A and B must be Nx3"
+ N = A.shape[0]
+ if N < 2:
+ raise ValueError("Need at least 2 points; 3+ recommended.")
+ centroid_A = A.mean(axis=0)
+ centroid_B = B.mean(axis=0)
+ AA = A - centroid_A
+ BB = B - centroid_B
+ H = AA.T @ BB
+ U, S, Vt = np.linalg.svd(H)
+ R = Vt.T @ U.T
+ if np.linalg.det(R) < 0:
+ Vt[-1, :] *= -1
+ R = Vt.T @ U.T
+ t = centroid_B - R @ centroid_A
+ return R.astype(np.float32), t.astype(np.float32)
+
+def readSettings(fileSetting):
+ global cam_anchor_pts
+ print("Read Settings")
+
+ if(fileSetting == None):
+ cam_anchor_pts = {
+ 50: np.array([0.0, 0.0, 0.0], dtype=np.float32),
+ 71: np.array([0.140, 0.0, 0.0], dtype=np.float32),
+ 101: np.array([-0.0, -0.080, 0.0], dtype=np.float32),
+ #15: np.array([20,20,20]) # add if known
+ }
+ return
+
+
+ with open(fileSetting, 'r') as f:
+ settings = json.load(f)
+ for marker_id, coords in settings['coordinateSystem']['KnownMarkers'].items():
+ cam_anchor_pts[int(marker_id)] = np.array(coords, dtype=np.float32)
+
+ #KNOWN_MACHINE_POS = {int(k): np.array(v, dtype=np.float32) for k, v in settings.items()}
+
+
+# ----------------------- Main -----------------------
+
+def main():
+
+ parser = argparse.ArgumentParser(description="Detect ArUco markers in two images and compute camera poses in machine coordinates.")
+ parser.add_argument('-i', '--images', action='append', required=False,
+ help="Path to image. Provide this option twice: once per camera (e.g., -i2 cam1.jpg -i2 cam2.jpg)")
+ parser.add_argument('-npz', '--npz', action='append', required=False, default=['camera_intrinsics_v1.npz'])
+ parser.add_argument('--cam-calib', action='append', required=False,
+ help="Paths to calibration YAMLs for camera 1 and camera 2 (e.g., cam1.npz cam2.npz)")
+ parser.add_argument('--marker-size-mm', type=float, default=25,
+ help="Marker side length in millimeters (e.g., 50)")
+ parser.add_argument('--dict', default='DICT_4X4_250',
+ help="ArUco dictionary name (default: DICT_4X4_250)")
+ parser.add_argument('-settings', type=str, default=None,
+ help="Json File with Machine Settings")
+ args = parser.parse_args()
+
+
+
+ print("ABC 0")
+
+ readSettings(args.settings)
+
+ print("ABC 0")
+
+ if(args.images is None):
+ image = cv2.imread(IMAGE_PATH)
+ else:
+ image = cv2.imread(args.images[0])
+ OUTPUT_IMAGE_PATH = args.images[0].replace(".jpg","r.jpg").replace(".PNG","r.PNG")
+ OUTPUT_CSV_PATH = args.images[0].replace(".jpg",".csv").replace(".PNG",".csv")
+ OUTPUT_JSON_PATH = args.images[0].replace(".jpg",".json").replace(".PNG",".json")
+
+
+ if image is None:
+ print(f"[ERROR] Cannot read image '{IMAGE_PATH}'.")
+ sys.exit(1)
+
+
+ print("ABC 1")
+
+ camera_matrix, dist_coeffs = load_intrinsics_npz(args.npz[0])
+ print("ABC 1a")
+ detector_tuple = get_detector()
+ print("ABC 1b")
+ corners_list, ids, rejected = detect_markers(image, detector_tuple)
+
+
+ print("ABC 2")
+
+ if ids is None or len(ids) == 0:
+ print("[ERROR] No markers detected.")
+ sys.exit(1)
+
+ draw_img = image.copy()
+ cv2.aruco.drawDetectedMarkers(draw_img, corners_list, ids)
+
+ half = MARKER_LENGTH_M / 2.0
+ obj_points = np.array([
+ [-half, half, 0.0],
+ [ half, half, 0.0],
+ [ half, -half, 0.0],
+ [-half, -half, 0.0],
+ ], dtype=np.float32)
+
+ poses_cam: Dict[int, Tuple[np.ndarray, np.ndarray]] = {}
+ centers_cam: Dict[int, np.ndarray] = {}
+ for i, marker_id in enumerate(ids.flatten()):
+ img_pts = corners_to_image_points(corners_list[i])
+ success, rvec, tvec = cv2.solvePnP(obj_points, img_pts, camera_matrix, dist_coeffs, flags=cv2.SOLVEPNP_IPPE_SQUARE)
+ if not success:
+ success, rvec, tvec = cv2.solvePnP(obj_points, img_pts, camera_matrix, dist_coeffs)
+ if success:
+ rvec = rvec.reshape(3,1)
+ tvec = tvec.reshape(3,1)
+ poses_cam[int(marker_id)] = (rvec, tvec)
+ centers_cam[int(marker_id)] = tvec.flatten()
+ try:
+ cv2.drawFrameAxes(draw_img, camera_matrix, dist_coeffs, rvec, tvec, AXIS_LENGTH_M)
+ except Exception:
+ pass
+ else:
+ print(f"[WARN] solvePnP failed for marker {marker_id}")
+
+ common_ids: List[int] = [mid for mid in cam_anchor_pts.keys() if mid in centers_cam]
+ if len(common_ids) < 2:
+ print(f"[ERROR] Need at least 2 reference markers; found {len(common_ids)}: {common_ids}")
+ sys.exit(1)
+ if len(common_ids) < 3:
+ print(f"[WARN] Only {len(common_ids)} references ({common_ids}). Fit may be less stable; 3+ recommended.")
+
+ A = np.stack([centers_cam[mid] for mid in common_ids], axis=0)
+ B = np.stack([cam_anchor_pts[mid] for mid in common_ids], axis=0)
+
+ R_cam_to_machine, t_cam_to_machine = rigid_transform_no_scale(A, B)
+
+ residuals_mm = []
+ for i, mid in enumerate(common_ids):
+ pred = R_cam_to_machine @ A[i] + t_cam_to_machine
+ err = np.linalg.norm(pred - B[i]) * 1000.0
+ residuals_mm.append(err)
+ rms = float(np.sqrt(np.mean(np.square(residuals_mm)))) if residuals_mm else 0.0
+ print("\nReference fit residuals (mm) per marker:")
+ for mid, e in zip(common_ids, residuals_mm):
+ print(f" ID {mid}: {e:.2f} mm")
+ print(f"RMS residual: {rms:.2f} mm")
+
+ # Camera pose in machine coordinates:
+ # Camera origin (0,0,0 in camera) maps to t_cam_to_machine
+ cam_pos_machine = t_cam_to_machine
+ cam_R_machine = R_cam_to_machine # camera basis expressed in machine frame
+ cam_roll, cam_pitch, cam_yaw = R_to_euler_zyx(cam_R_machine)
+
+ rows = [("id", "x_mm", "y_mm", "z_mm", "roll_deg", "pitch_deg", "yaw_deg")]
+ marker_list = []
+
+ print("\nMarker Positions and Orientations in Machine Coordinates:")
+ print(f"{'ID':>8} {'X(mm)':>10} {'Y(mm)':>10} {'Z(mm)':>10} {'Roll':>10} {'Pitch':>10} {'Yaw':>10}")
+
+ # Add camera first
+ cx, cy, cz = (cam_pos_machine * 1000.0).tolist()
+ print(f"{'camera':>8} {cx:10.2f} {cy:10.2f} {cz:10.2f} {cam_roll:10.2f} {cam_pitch:10.2f} {cam_yaw:10.2f}")
+ rows.append(("camera", f"{cx:.3f}", f"{cy:.3f}", f"{cz:.3f}", f"{cam_roll:.3f}", f"{cam_pitch:.3f}", f"{cam_yaw:.3f}"))
+ camera_pose = {
+ "id": "camera",
+ "position_mm": [float(x) for x in cam_pos_machine * 1000.0],
+ "orientation_deg": {"roll": cam_roll, "pitch": cam_pitch, "yaw": cam_yaw}
+}
+
+ # Then markers
+ for marker_id in sorted(poses_cam.keys()):
+ rvec, tvec = poses_cam[marker_id]
+ R_marker_cam = rvec_to_R(rvec)
+ pos_machine = R_cam_to_machine @ tvec.flatten() + t_cam_to_machine
+ R_marker_machine = R_cam_to_machine @ R_marker_cam
+ roll_deg, pitch_deg, yaw_deg = R_to_euler_zyx(R_marker_machine)
+ x_mm, y_mm, z_mm = (pos_machine * 1000.0).tolist()
+ print(f"{marker_id:8d} {x_mm:10.2f} {y_mm:10.2f} {z_mm:10.2f} {roll_deg:10.2f} {pitch_deg:10.2f} {yaw_deg:10.2f}")
+ rows.append((marker_id, f"{x_mm:.3f}", f"{y_mm:.3f}", f"{z_mm:.3f}", f"{roll_deg:.3f}", f"{pitch_deg:.3f}", f"{yaw_deg:.3f}"))
+ marker_list.append({"id": marker_id, "position_mm": [x_mm, y_mm, z_mm], "orientation_deg": {"roll": roll_deg, "pitch": pitch_deg, "yaw": yaw_deg}})
+
+ # Save CSV
+ try:
+ with open(OUTPUT_CSV_PATH, 'w', newline='') as f:
+ writer = csv.writer(f)
+ writer.writerows(rows)
+ print(f"\n[INFO] Saved CSV poses to '{OUTPUT_CSV_PATH}'.")
+ except Exception as e:
+ print(f"[WARN] Could not save CSV: {e}")
+
+
+ # Save JSON
+ json_data = {
+ "metadata": {
+ "timestamp": time.strftime("%Y-%m-%d %H:%M:%S"),
+ "reference_markers": common_ids,
+ "rms_residual_mm": rms,
+ "description": "Multi-marker machine frame fit with camera pose"
+ },
+ "camera": camera_pose,
+ "markers": marker_list
+ }
+ with open(OUTPUT_JSON_PATH, 'w', encoding='utf-8') as f:
+ json.dump(json_data, f, indent=4)
+
+ # Warn about expected IDs
+ detected_ids = set(poses_cam.keys())
+ missing = EXPECTED_IDS - detected_ids
+ if missing:
+ print(f"[WARN] Expected markers not detected: {sorted(missing)}")
+
+ # Draw machine axes using global transform (machine->camera)
+ R_machine_to_cam = R_cam_to_machine.T
+ t_machine_to_cam = - R_machine_to_cam @ t_cam_to_machine
+ try:
+ machine_axes = np.float32([
+ [0.0, 0.0, 0.0],
+ [MACHINE_AXIS_X_M, 0.0, 0.0],
+ [0.0, MACHINE_AXIS_Y_M, 0.0],
+ [0.0, 0.0, MACHINE_AXIS_Z_M],
+ ])
+ rvec_global, _ = cv2.Rodrigues(R_machine_to_cam)
+ imgpts, _ = cv2.projectPoints(machine_axes, rvec_global, t_machine_to_cam, camera_matrix, dist_coeffs)
+ origin = tuple(np.round(imgpts[0].ravel()).astype(int))
+ x_end = tuple(np.round(imgpts[1].ravel()).astype(int))
+ y_end = tuple(np.round(imgpts[2].ravel()).astype(int))
+ z_end = tuple(np.round(imgpts[3].ravel()).astype(int))
+ cv2.line(draw_img, origin, x_end, (0, 0, 255), 3)
+ cv2.line(draw_img, origin, y_end, (0, 255, 0), 3)
+ cv2.line(draw_img, origin, z_end, (255, 0, 0), 3)
+ cv2.putText(draw_img, "X (200 mm)", x_end, cv2.FONT_HERSHEY_SIMPLEX, 0.6, (0,0,255), 2)
+ cv2.putText(draw_img, "Y (-100 mm)", y_end, cv2.FONT_HERSHEY_SIMPLEX, 0.6, (0,255,0), 2)
+ cv2.putText(draw_img, "+Z (100 mm)", z_end, cv2.FONT_HERSHEY_SIMPLEX, 0.6, (255,0,0), 2)
+ except Exception as e:
+ print(f"[WARN] Failed to draw machine axes: {e}")
+
+ ok = cv2.imwrite(OUTPUT_IMAGE_PATH, draw_img)
+ if ok:
+ print(f"[INFO] Annotated image saved as '{OUTPUT_IMAGE_PATH}'.")
+ else:
+ print(f"[ERROR] Failed to save annotated image '{OUTPUT_IMAGE_PATH}'.")
+
+if __name__ == '__main__':
+ main()
diff --git a/appVideoServer/programs/readTwoImages.py b/appVideoServer/programs/readTwoImages.py
new file mode 100644
index 0000000..cda3198
--- /dev/null
+++ b/appVideoServer/programs/readTwoImages.py
@@ -0,0 +1,668 @@
+#!/usr/bin/env python3
+"""
+readCamPositionTwo.py
+
+Two-camera ArUco detection with joint optimization of both camera extrinsics
+against known machine-frame reference markers, plus triangulation of unknown
+marker positions. Outputs camera pose and marker poses in machine coordinates,
+with CSV and JSON similar to the single-camera script.
+
+Dependencies: numpy, opencv-python (cv2)
+Optional but NOT required: SciPy (we implement a simple Levenberg–Marquardt).
+
+Usage example:
+ python3 readTwoImages.py -i snapshot_video0_1764531874081.jpg -i snapshot_video1_1764531874081.jpg -npz callibration_cam0.npz -npz callibration_cam1.npz -settings settings.json
+ python3 readTwoImages.py -i snapshot_video0_1764524369655.jpg -i snapshot_video1_1764524369655.jpg -npz callibration_cam0.npz -npz callibration_cam1.npz -settings settings.json
+
+ python3 readTwoImages.py -i snapshot_video0_1765009029764.jpg -i snapshot_video1_1765009029764.jpg -npz callibration_cam0.npz -npz callibration_cam1.npz -settings settings.json
+
+Settings JSON is expected to contain:
+{
+ "coordinateSystem": {
+ "KnownMarkers": {
+ "50": [0.0, 0.0, 0.0],
+ "71": [0.140, 0.0, 0.0],
+ "101": [0.0, -0.080, 0.0]
+ }
+ }
+}
+
+Author: M365 Copilot (generated)
+"""
+import argparse
+import os
+import sys
+import json
+import time
+from typing import Dict, Tuple, List
+import numpy as np
+import cv2
+
+# ---------------- Configuration defaults ----------------
+AXIS_LENGTH_M = 0.05
+
+# ---------------- Utilities ----------------
+def load_intrinsics_npz(npz_path: str) -> Tuple[np.ndarray, np.ndarray]:
+ print("NPZ reading of file:", npz_path)
+ if os.path.exists(npz_path):
+ data = np.load(npz_path)
+ for k in ('camera_matrix', 'mtx', 'K'):
+ if k in data:
+ camera_matrix = data[k].astype(np.float32)
+ break
+ else:
+ raise KeyError("Camera matrix not found in NPZ.")
+ for k in ('dist_coeffs', 'dist', 'D'):
+ if k in data:
+ dist = data[k].astype(np.float32).reshape(-1,1)
+ break
+ else:
+ dist = np.zeros((5,1), dtype=np.float32)
+ print("NPZ loaded:", npz_path)
+ return camera_matrix, dist
+ # Fallback default intrinsics
+ camera_matrix = np.array([[1400, 0, 640],
+ [0, 1400, 360],
+ [0, 0, 1]], dtype=np.float32)
+ dist_coeffs = np.zeros((5,1), dtype=np.float32)
+ print("[WARN] Using default approximate intrinsics.")
+ return camera_matrix, dist_coeffs
+
+
+def get_aruco_detector(dict_name: str):
+ mapping = {
+ 'DICT_4X4_250': cv2.aruco.DICT_4X4_250,
+ 'DICT_5X5_100': cv2.aruco.DICT_5X5_100,
+ 'DICT_6X6_250': cv2.aruco.DICT_6X6_250,
+ 'DICT_ARUCO_ORIGINAL': cv2.aruco.DICT_ARUCO_ORIGINAL,
+ }
+ if dict_name not in mapping:
+ dict_id = cv2.aruco.DICT_4X4_250
+ else:
+ dict_id = mapping[dict_name]
+ dictionary = cv2.aruco.getPredefinedDictionary(dict_id)
+ try:
+ params = cv2.aruco.DetectorParameters()
+ except Exception:
+ params = cv2.aruco.DetectorParameters_create()
+ try:
+ detector = cv2.aruco.ArucoDetector(dictionary, params)
+ return detector, None
+ except Exception:
+ return None, (dictionary, params)
+
+
+def detect_markers(image: np.ndarray, detector_tuple):
+ detector, fallback = detector_tuple
+ if detector is not None:
+ corners, ids, rejected = detector.detectMarkers(image)
+ else:
+ dictionary, params = fallback
+ corners, ids, rejected = cv2.aruco.detectMarkers(image, dictionary, parameters=params)
+ return corners, ids, rejected
+
+
+def corners_to_image_points(corners: np.ndarray) -> np.ndarray:
+ return corners.reshape(4,2).astype(np.float32)
+
+
+def marker_center_from_corners(corners: np.ndarray) -> np.ndarray:
+ pts = corners.reshape(4,2)
+ return pts.mean(axis=0).astype(np.float32)
+
+
+def rvec_to_R(rvec: np.ndarray) -> np.ndarray:
+ R, _ = cv2.Rodrigues(rvec)
+ return R
+
+
+def rigid_transform_no_scale(A: np.ndarray, B: np.ndarray) -> Tuple[np.ndarray, np.ndarray]:
+ """Find R,t s.t. B ≈ R A + t. A,B: Nx3."""
+ assert A.shape == B.shape and A.shape[1] == 3, "A and B must be Nx3"
+ N = A.shape[0]
+ if N < 2:
+ raise ValueError("Need at least 2 points; 3+ recommended.")
+ centroid_A = A.mean(axis=0)
+ centroid_B = B.mean(axis=0)
+ AA = A - centroid_A
+ BB = B - centroid_B
+ H = AA.T @ BB
+ U, S, Vt = np.linalg.svd(H)
+ R = Vt.T @ U.T
+ if np.linalg.det(R) < 0:
+ Vt[-1, :] *= -1
+ R = Vt.T @ U.T
+ t = centroid_B - R @ centroid_A
+ return R.astype(np.float32), t.astype(np.float32)
+
+
+def undistort_to_normalized(points_px: np.ndarray, K: np.ndarray, D: np.ndarray) -> np.ndarray:
+ """points_px: Nx2 pixel. Returns Nx2 normalized coords (x,y) where projection is x=Xp/Z, y=Yp/Z.
+ cv2.undistortPoints with P=None yields normalized coordinates.
+ """
+ pts = points_px.reshape(-1,1,2).astype(np.float32)
+ und = cv2.undistortPoints(pts, K, D, P=None) # returns Nx1x2
+ return und.reshape(-1,2)
+
+
+# ---------------- Joint optimization (LM, numerical Jacobian) ----------------
+
+def pack_params(omega1, t1, omega2, t2) -> np.ndarray:
+ return np.hstack([omega1, t1, omega2, t2]).astype(np.float64)
+
+
+def unpack_params(theta: np.ndarray):
+ omega1 = theta[0:3]
+ t1 = theta[3:6]
+ omega2 = theta[6:9]
+ t2 = theta[9:12]
+ return omega1, t1, omega2, t2
+
+
+def residuals_centers_normalized(theta: np.ndarray,
+ X_mach: np.ndarray,
+ obs1_norm: np.ndarray,
+ obs2_norm: np.ndarray) -> np.ndarray:
+ """
+ Compute residuals in normalized coordinates (no intrinsics, no distortion).
+ For camera j: X_cam = R_j X_mach + t_j; proj: (x/z, y/z).
+ Returns stacked residuals [r1; r2] shape (4N,), where N = number of references.
+ """
+ omega1, t1, omega2, t2 = unpack_params(theta)
+ R1 = cv2.Rodrigues(omega1)[0]
+ R2 = cv2.Rodrigues(omega2)[0]
+ # Camera 1 projections
+ X_cam1 = (R1 @ X_mach.T + t1.reshape(3,1)).T # Nx3
+ uv1 = X_cam1[:, :2] / X_cam1[:, 2:3]
+ r1 = (obs1_norm - uv1).reshape(-1)
+ # Camera 2 projections
+ X_cam2 = (R2 @ X_mach.T + t2.reshape(3,1)).T
+ uv2 = X_cam2[:, :2] / X_cam2[:, 2:3]
+ r2 = (obs2_norm - uv2).reshape(-1)
+ return np.hstack([r1, r2])
+
+
+def numerical_jacobian(f, theta: np.ndarray, eps: float, *args) -> np.ndarray:
+ """Finite-difference Jacobian: forward differences."""
+ r0 = f(theta, *args)
+ m = r0.size
+ n = theta.size
+ J = np.zeros((m, n), dtype=np.float64)
+ for k in range(n):
+ th = theta.copy()
+ th[k] += eps
+ rk = f(th, *args)
+ J[:, k] = (rk - r0) / eps
+ return J, r0
+
+
+def lm_solve(theta0: np.ndarray,
+ X_mach: np.ndarray,
+ obs1_norm: np.ndarray,
+ obs2_norm: np.ndarray,
+ max_iter: int = 50,
+ eps_jac: float = 1e-6,
+ lambda_init: float = 1e-3) -> Tuple[np.ndarray, Dict]:
+ """Simple Levenberg–Marquardt on center normalized residuals."""
+ lam = lambda_init
+ theta = theta0.copy()
+ history = {"iters": [], "rms": []}
+ for it in range(max_iter):
+ J, r = numerical_jacobian(residuals_centers_normalized, theta, eps_jac,
+ X_mach, obs1_norm, obs2_norm)
+ rms = float(np.sqrt(np.mean(r*r))) if r.size else 0.0
+ history["iters"].append(it)
+ history["rms"].append(rms)
+ # Normal equations with damping
+ JTJ = J.T @ J
+ g = J.T @ r
+ H = JTJ + lam * np.eye(JTJ.shape[0])
+ try:
+ delta = -np.linalg.solve(H, g)
+ except np.linalg.LinAlgError:
+ # Fallback to least squares
+ delta, *_ = np.linalg.lstsq(H, -g, rcond=None)
+ theta_trial = theta + delta
+ r_trial = residuals_centers_normalized(theta_trial, X_mach, obs1_norm, obs2_norm)
+ rms_trial = float(np.sqrt(np.mean(r_trial*r_trial)))
+ if rms_trial < rms: # improve
+ theta = theta_trial
+ lam *= 0.5
+ else:
+ lam *= 2.0
+ # Convergence criteria
+ if np.linalg.norm(delta) < 1e-9 or abs(rms - rms_trial) < 1e-9:
+ break
+ return theta, history
+
+
+# ---------------- Triangulation ----------------
+
+def build_projection_matrix(K: np.ndarray, R: np.ndarray, t: np.ndarray) -> np.ndarray:
+ return K @ np.hstack([R, t.reshape(3,1)])
+
+
+def triangulate_center(P1: np.ndarray, P2: np.ndarray, u1: np.ndarray, u2: np.ndarray) -> np.ndarray:
+ # u1,u2: (2,) pixel coordinates
+ x1 = u1.reshape(2,1)
+ x2 = u2.reshape(2,1)
+ X_h = cv2.triangulatePoints(P1, P2, x1, x2) # 4x1 homogeneous in machine frame if P maps machine->pixels
+ X = (X_h[:3] / X_h[3]).reshape(3)
+ return X.astype(np.float32)
+
+
+# ---------------- Main ----------------
+def main():
+ print("Started")
+ parser = argparse.ArgumentParser(description="Two-camera ArUco joint optimization and triangulation")
+ parser.add_argument('-i', '--images', action='append', required=True,
+ help="Two image paths: first camera then second camera")
+ parser.add_argument('-npz', '--npz', action='append', required=True,
+ help="Two NPZ intrinsics paths: cam1 then cam2")
+ parser.add_argument('-markerSizeMM', '--markerSizeMM', type=float, default=25.0,
+ help="Marker side length in millimeters")
+ parser.add_argument('--dict', default='DICT_4X4_250', help="ArUco dictionary name")
+ parser.add_argument('-settings', type=str, default=None,
+ help="Json settings file containing machine KnownMarkers")
+ args = parser.parse_args()
+
+ if len(args.images) != 2 or len(args.npz) != 2:
+ print("[ERROR] Provide exactly two images and two intrinsics NPZ files.")
+ sys.exit(1)
+
+ img1 = cv2.imread(args.images[0])
+ img2 = cv2.imread(args.images[1])
+ draw1 = img1.copy()
+ draw2 = img2.copy()
+ h, w = draw1.shape[:2]
+ #drawPNG1 = np.zeros((h, w, 4), dtype=np.uint8) # fully transparent
+ drawPNG1 = np.zeros((h, w, 3), dtype=np.uint8)
+ # Also prepare a matching canvas for camera2 to keep the layout tidy
+ drawPNG2 = np.zeros((h, w, 3), dtype=np.uint8)
+
+ if img1 is None or img2 is None:
+ print("[ERROR] Cannot read one of the images.")
+ sys.exit(1)
+
+ K1, D1 = load_intrinsics_npz(args.npz[0])
+ K2, D2 = load_intrinsics_npz(args.npz[1])
+
+ # Marker 3D local geometry (square corners)
+ half = (args.markerSizeMM / 1000.0) / 2.0
+ obj_points = np.array([
+ [-half, half, 0.0],
+ [ half, half, 0.0],
+ [ half, -half, 0.0],
+ [-half, -half, 0.0],
+ ], dtype=np.float32)
+
+ # Read settings for machine known markers
+ known_markers: Dict[int, np.ndarray] = {}
+ if args.settings is not None and os.path.exists(args.settings):
+ with open(args.settings, 'r') as f:
+ settings = json.load(f)
+ for marker_id, coords in settings['coordinateSystem']['KnownMarkers'].items():
+ known_markers[int(marker_id)] = np.array(coords, dtype=np.float32)
+ print("[INFO] Loaded KnownMarkers from settings.")
+ else:
+ # Fallback defaults
+ known_markers = {
+ 50: np.array([0.0, 0.0, 0.0], dtype=np.float32),
+ 71: np.array([0.140, 0.0, 0.0], dtype=np.float32),
+ 101: np.array([0.0, -0.080, 0.0], dtype=np.float32),
+ }
+ print("[WARN] Using default KnownMarkers; provide -settings for your machine.")
+
+ # Detect markers in both images
+ detector_tuple = get_aruco_detector(args.dict)
+ corners1, ids1, _ = detect_markers(img1, detector_tuple)
+ corners2, ids2, _ = detect_markers(img2, detector_tuple)
+ if ids1 is None or ids2 is None:
+ print("[ERROR] No markers detected in one or both images.")
+ sys.exit(1)
+
+ ids1 = ids1.flatten().tolist()
+ ids2 = ids2.flatten().tolist()
+
+
+
+ # Build dicts: id -> corners, center, rvec/tvec (per-camera PnP)
+ def build_marker_dict(img, corners_list, ids, K, D, draw = False) -> Tuple[Dict[int,np.ndarray], Dict[int,np.ndarray], Dict[int,Tuple[np.ndarray,np.ndarray]]]:
+ centers = {}
+ corners_dict = {}
+ poses = {}
+ for i, mid in enumerate(ids):
+ C = corners_list[i]
+ corners_dict[int(mid)] = C
+ centers[int(mid)] = marker_center_from_corners(C)
+ # Pose from single marker
+ img_pts = corners_to_image_points(C)
+ success, rvec, tvec = cv2.solvePnP(obj_points, img_pts, K, D, flags=cv2.SOLVEPNP_IPPE_SQUARE)
+ if not success:
+ success, rvec, tvec = cv2.solvePnP(obj_points, img_pts, K, D)
+ if success:
+ poses[int(mid)] = (rvec.reshape(3,1), tvec.reshape(3,1))
+ if(draw):
+ cv2.drawFrameAxes(draw1, K, D, rvec, tvec, 0.02) # slim orientation axes
+ cv2.drawFrameAxes(drawPNG1, K, D, rvec, tvec, 0.02) # slim orientation axes
+ return centers, corners_dict, poses
+
+ centers1, corners_dict1, poses1 = build_marker_dict(img1, corners1, ids1, K1, D1, draw = True)
+ centers2, corners_dict2, poses2 = build_marker_dict(img2, corners2, ids2, K2, D2)
+
+ # Common reference markers present in both images and known in machine frame
+ common_refs = [mid for mid in known_markers.keys() if (mid in centers1 and mid in centers2)]
+ if len(common_refs) < 3:
+ print(f"[ERROR] Need ≥3 common reference markers in both cameras; found {len(common_refs)}: {common_refs}")
+ sys.exit(1)
+
+ # Initial extrinsics from rigid fits per camera using tvec centers of references
+ # For camera j, A = camera-frame positions of reference markers (from PnP tvec), B = machine positions
+ def init_extrinsics_from_rigid(poses_cam: Dict[int,Tuple[np.ndarray,np.ndarray]], refs: List[int]) -> Tuple[np.ndarray,np.ndarray]:
+ A = []
+ B = []
+ for mid in refs:
+ if mid in poses_cam:
+ _, tvec = poses_cam[mid]
+ A.append(tvec.flatten())
+ B.append(known_markers[mid])
+ if len(A) < 2:
+ raise RuntimeError("Insufficient reference poses for rigid transform init.")
+ A = np.stack(A, axis=0)
+ B = np.stack(B, axis=0)
+ R_cm, t_cm = rigid_transform_no_scale(A, B) # camera->machine
+ # Convert to machine->camera
+ R_mc = R_cm.T
+ t_mc = - R_mc @ t_cm
+ return R_mc.astype(np.float32), t_mc.astype(np.float32)
+
+ R1_init, t1_init = init_extrinsics_from_rigid(poses1, common_refs)
+ R2_init, t2_init = init_extrinsics_from_rigid(poses2, common_refs)
+
+ # Observations: reference centers (pixels) -> normalized
+ X_mach_refs = np.stack([known_markers[mid] for mid in common_refs], axis=0).astype(np.float32)
+ obs1_px = np.stack([centers1[mid] for mid in common_refs], axis=0).astype(np.float32)
+ obs2_px = np.stack([centers2[mid] for mid in common_refs], axis=0).astype(np.float32)
+ obs1_norm = undistort_to_normalized(obs1_px, K1, D1)
+ obs2_norm = undistort_to_normalized(obs2_px, K2, D2)
+
+ # Pack initial params as Rodrigues vectors
+ omega1_init = cv2.Rodrigues(R1_init)[0].reshape(3)
+ omega2_init = cv2.Rodrigues(R2_init)[0].reshape(3)
+ theta0 = pack_params(omega1_init, t1_init.reshape(3), omega2_init, t2_init.reshape(3))
+
+ theta_opt, hist = lm_solve(theta0, X_mach_refs, obs1_norm, obs2_norm,
+ max_iter=60, eps_jac=1e-6, lambda_init=1e-3)
+
+ omega1, t1, omega2, t2 = unpack_params(theta_opt)
+ R1_opt = cv2.Rodrigues(omega1)[0]
+ R2_opt = cv2.Rodrigues(omega2)[0]
+
+ # Camera pose in machine coordinates (camera->machine): R_cm = R^T, t_cm = -R^T t
+ R1_cm = R1_opt.T
+ t1_cm = - R1_cm @ t1
+ R2_cm = R2_opt.T
+ t2_cm = - R2_cm @ t2
+
+ # Build projection matrices for triangulation (machine -> pixels)
+ P1 = build_projection_matrix(K1, R1_opt, t1)
+ P2 = build_projection_matrix(K2, R2_opt, t2)
+
+ # Collect markers seen by at least one camera
+ all_ids = set(ids1) | set(ids2)
+ # Output structures
+ rows = [("id", "x_mm", "y_mm", "z_mm", "roll_deg", "pitch_deg", "yaw_deg")]
+ marker_list = []
+
+ # Camera orientations in Euler (ZYX)
+ def R_to_euler_zyx(R: np.ndarray) -> Tuple[float,float,float]:
+ yaw = float(np.degrees(np.arctan2(R[1,0], R[0,0])))
+ sp = np.sqrt(R[2,1]**2 + R[2,2]**2)
+ pitch = float(np.degrees(np.arctan2(-R[2,0], sp)))
+ roll = float(np.degrees(np.arctan2(R[2,1], R[2,2])))
+ return roll, pitch, yaw
+
+ cam1_roll, cam1_pitch, cam1_yaw = R_to_euler_zyx(R1_cm)
+ cam2_roll, cam2_pitch, cam2_yaw = R_to_euler_zyx(R2_cm)
+
+ # Camera rows
+ c1_mm = (t1_cm * 1000.0).tolist()
+ rows.append(("camera 0", f"{c1_mm[0]:.2f}", f"{c1_mm[1]:.2f}", f"{c1_mm[2]:.2f}", f"{cam1_roll:.3f}", f"{cam1_pitch:.3f}", f"{cam1_yaw:.3f}"))
+ c2_mm = (t2_cm * 1000.0).tolist()
+ rows.append(("camera 1", f"{c2_mm[0]:.2f}", f"{c2_mm[1]:.2f}", f"{c2_mm[2]:.2f}", f"{cam2_roll:.3f}", f"{cam2_pitch:.3f}", f"{cam2_yaw:.3f}"))
+
+ # Triangulate and output markers
+ def orientation_in_machine(mid: int) -> Tuple[float,float,float]:
+ # Prefer camera1 orientation, else camera2
+ if mid in poses1:
+ Rm_cam = rvec_to_R(poses1[mid][0])
+ Rm_machine = R1_cm @ Rm_cam
+ elif mid in poses2:
+ Rm_cam = rvec_to_R(poses2[mid][0])
+ Rm_machine = R2_cm @ Rm_cam
+ else:
+ Rm_machine = np.eye(3, dtype=np.float32)
+ return R_to_euler_zyx(Rm_machine)
+
+ # Residual report for references
+ # Recompute residual RMS in pixels for references (after optimization)
+ refs_rms_px = []
+ for j,(K,R_opt,t_opt,centers_px) in enumerate([(K1,R1_opt,t1,centers1),(K2,R2_opt,t2,centers2)]):
+ errs = []
+ for mid in common_refs:
+ X = known_markers[mid]
+ X_cam = R_opt @ X + t_opt
+ x = K @ X_cam
+ u_pred = x[0]/x[2]
+ v_pred = x[1]/x[2]
+ u_obs, v_obs = centers_px[mid]
+ errs.append(np.hypot(u_obs-u_pred, v_obs-v_pred))
+ refs_rms_px.append(float(np.sqrt(np.mean(np.square(errs))) if errs else 0.0))
+
+ # Compute per-marker positions
+ for mid in sorted(all_ids):
+ # Triangulate if seen in both
+ if mid in centers1 and mid in centers2:
+ X_mach = triangulate_center(P1, P2, centers1[mid], centers2[mid])
+ elif mid in poses1:
+ # Fallback single-camera: transform tvec (camera->machine)
+ X_mach = (R1_cm @ poses1[mid][1].flatten() + t1_cm)
+ elif mid in poses2:
+ X_mach = (R2_cm @ poses2[mid][1].flatten() + t2_cm)
+ else:
+ continue
+ roll, pitch, yaw = orientation_in_machine(mid)
+ x_mm, y_mm, z_mm = (X_mach * 1000.0).tolist()
+ rows.append((mid, f"{x_mm:.2f}", f"{y_mm:.2f}", f"{z_mm:.2f}", f"{roll:.3f}", f"{pitch:.3f}", f"{yaw:.3f}"))
+ marker_list.append({
+ "id": int(mid),
+ "position_mm": [float(x_mm), float(y_mm), float(z_mm)],
+ "orientation_deg": {"roll": float(roll), "pitch": float(pitch), "yaw": float(yaw)}
+ })
+
+ # Save CSV & JSON
+ base1 = os.path.splitext(args.images[0])[0]
+ base2 = os.path.splitext(args.images[1])[0]
+ out_csv = f"{base1}_two_cam.csv"
+ out_json = f"{base1}_two_cam.json"
+
+ try:
+ import csv
+ with open(out_csv, 'w', newline='') as f:
+ writer = csv.writer(f)
+ writer.writerows(rows)
+ print(f"[INFO] Saved CSV poses to '{out_csv}'.")
+ except Exception as e:
+ print(f"[WARN] Could not save CSV: {e}")
+
+ json_data = {
+ "metadata": {
+ "timestamp": time.strftime("%Y-%m-%d %H:%M:%S"),
+ "reference_markers": common_refs,
+ "dict": args.dict,
+ "marker_size_mm": args.markerSizeMM,
+ "rms_refs_px_cam1": refs_rms_px[0] if refs_rms_px else None,
+ "rms_refs_px_cam2": refs_rms_px[1] if refs_rms_px else None,
+ "description": "Two-camera joint optimization with triangulation"
+ },
+ "cameras": [
+ {
+ "id": "camera1",
+ "position_mm": [float(x) for x in (t1_cm * 1000.0)],
+ "orientation_deg": {"roll": cam1_roll, "pitch": cam1_pitch, "yaw": cam1_yaw},
+ },
+ {
+ "id": "camera2",
+ "position_mm": [float(x) for x in (t2_cm * 1000.0)],
+ "orientation_deg": {"roll": cam2_roll, "pitch": cam2_pitch, "yaw": cam2_yaw},
+ }
+ ],
+ "markers": marker_list
+ }
+
+ try:
+ with open(out_json, 'w', encoding='utf-8') as f:
+ json.dump(json_data, f, indent=4)
+ print(f"[INFO] Saved JSON poses to '{out_json}'.")
+ except Exception as e:
+ print(f"[WARN] Could not save JSON: {e}")
+
+ # Annotate images with machine axes using camera1 extrinsics
+ try:
+ R_machine_to_cam1 = R1_opt
+ t_machine_to_cam1 = t1
+ machine_axes = np.float32([
+ [0.0, 0.0, 0.0],
+ [0.200, 0.0, 0.0],
+ [0.0, -0.100, 0.0],
+ [0.0, 0.0, 0.100],
+ ])
+ rvec_global, _ = cv2.Rodrigues(R_machine_to_cam1)
+ imgpts, _ = cv2.projectPoints(machine_axes, rvec_global, t_machine_to_cam1, K1, D1)
+ origin = tuple(np.round(imgpts[0].ravel()).astype(int))
+ x_end = tuple(np.round(imgpts[1].ravel()).astype(int))
+ y_end = tuple(np.round(imgpts[2].ravel()).astype(int))
+ z_end = tuple(np.round(imgpts[3].ravel()).astype(int))
+
+ # Draw marker outlines only (omit default small id labels) — we draw larger IDs below
+ cv2.aruco.drawDetectedMarkers(draw1, corners1)
+ cv2.aruco.drawDetectedMarkers(drawPNG1, corners1)
+ # Draw larger blue ID labels (keep default marker outlines as-is)
+ try:
+ for i, mid in enumerate(ids1):
+ try:
+ pts = corners1[i].reshape((4, 2))
+ center = tuple(np.round(pts.mean(axis=0)).astype(int))
+ except Exception:
+ continue
+ text = str(int(mid))
+ # Offset: 5px more to the right and 5px up (y axis is downwards)
+ pos = (int(center[0]) + 15, int(center[1]) - 15)
+ cv2.putText(draw1, text, pos, cv2.FONT_HERSHEY_SIMPLEX, 1.0, (255,0,0), 3, lineType=cv2.LINE_AA)
+ cv2.putText(drawPNG1, text, pos, cv2.FONT_HERSHEY_SIMPLEX, 1.0, (255,0,0,255), 3, lineType=cv2.LINE_AA)
+ except Exception:
+ pass
+ cv2.line(draw1, origin, x_end, (0,0,255), 3)
+ cv2.line(draw1, origin, y_end, (0,255,0), 3)
+ cv2.line(draw1, origin, z_end, (255,0,0), 3)
+
+ # Draw lines (RGBA colors: B,G,R,A). A=255 for fully opaque.
+ cv2.line(drawPNG1, origin, x_end, (0, 0, 255, 255), 3) # Red X
+ cv2.line(drawPNG1, origin, y_end, (0, 255, 0, 255), 3) # Green Y
+ cv2.line(drawPNG1, origin, z_end, (255, 0, 0, 255), 3) # Blue Z
+
+ cv2.putText(draw1, "X (200 mm)", x_end, cv2.FONT_HERSHEY_SIMPLEX, 0.6, (0,0,255), 2)
+ cv2.putText(draw1, "Y (-100 mm)", y_end, cv2.FONT_HERSHEY_SIMPLEX, 0.6, (0,255,0), 2)
+ cv2.putText(draw1, "+Z (100 mm)", z_end, cv2.FONT_HERSHEY_SIMPLEX, 0.6, (255,0,0), 2)
+
+
+ # Try to draw text (might be jaggy on transparent BG in older OpenCV)
+ cv2.putText(drawPNG1, "X (200 mm)", x_end, cv2.FONT_HERSHEY_SIMPLEX, 0.6, (0, 0, 255, 255), 2)
+ cv2.putText(drawPNG1, "Y (-100 mm)", y_end, cv2.FONT_HERSHEY_SIMPLEX, 0.6, (0, 255, 0, 255), 2)
+ cv2.putText(drawPNG1, "+Z (100 mm)", z_end, cv2.FONT_HERSHEY_SIMPLEX, 0.6, (255, 0, 0, 255), 2)
+
+
+ out_img1 = f"{base1}_two_cam_annotated.jpg"
+ cv2.imwrite(out_img1, draw1)
+ print(f"[INFO] Annotated image saved as '{out_img1}'.")
+
+ # Save as transparent PNG
+
+ gray = cv2.cvtColor(drawPNG1, cv2.COLOR_BGR2GRAY)
+ _, alpha = cv2.threshold(gray, 0, 255, cv2.THRESH_BINARY)
+
+ # 5) Merge BGR + alpha → RGBA transparent overlay
+ drawPNG_1 = cv2.merge([drawPNG1[:, :, 0], drawPNG1[:, :, 1], drawPNG1[:, :, 2], alpha])
+
+ out_png1 = f"{base1}_two_cam_overlay.png"
+ cv2.imwrite(out_png1, drawPNG_1)
+
+ except Exception as e:
+ print(f"[WARN] Failed to draw machine axes: {e}")
+
+ # Also annotate the second camera image and produce a transparent overlay
+ try:
+ machine_axes2 = np.float32([
+ [0.0, 0.0, 0.0],
+ [0.200, 0.0, 0.0],
+ [0.0, -0.100, 0.0],
+ [0.0, 0.0, 0.100],
+ ])
+ rvec_global2, _ = cv2.Rodrigues(R2_opt)
+ imgpts2, _ = cv2.projectPoints(machine_axes2, rvec_global2, t2, K2, D2)
+ origin2 = tuple(np.round(imgpts2[0].ravel()).astype(int))
+ x_end2 = tuple(np.round(imgpts2[1].ravel()).astype(int))
+ y_end2 = tuple(np.round(imgpts2[2].ravel()).astype(int))
+ z_end2 = tuple(np.round(imgpts2[3].ravel()).astype(int))
+
+ # Draw marker outlines only (omit default small id labels) — we draw larger IDs below
+ cv2.aruco.drawDetectedMarkers(draw2, corners2)
+ cv2.aruco.drawDetectedMarkers(drawPNG2, corners2)
+ # Draw larger blue ID labels (keep default marker outlines as-is)
+ try:
+ for i, mid in enumerate(ids2):
+ try:
+ pts = corners2[i].reshape((4, 2))
+ center = tuple(np.round(pts.mean(axis=0)).astype(int))
+ except Exception:
+ continue
+ text = str(int(mid))
+ # Offset: 5px more to the right and 5px up (y axis is downwards)
+ pos = (int(center[0]) + 13, int(center[1]) + 3)
+ cv2.putText(draw2, text, pos, cv2.FONT_HERSHEY_SIMPLEX, 1.0, (255,0,0), 3, lineType=cv2.LINE_AA)
+ cv2.putText(drawPNG2, text, pos, cv2.FONT_HERSHEY_SIMPLEX, 1.0, (255,0,0,255), 3, lineType=cv2.LINE_AA)
+ except Exception:
+ pass
+
+ cv2.line(draw2, origin2, x_end2, (0,0,255), 3)
+ cv2.line(draw2, origin2, y_end2, (0,255,0), 3)
+ cv2.line(draw2, origin2, z_end2, (255,0,0), 3)
+
+ cv2.line(drawPNG2, origin2, x_end2, (0, 0, 255, 255), 3)
+ cv2.line(drawPNG2, origin2, y_end2, (0, 255, 0, 255), 3)
+ cv2.line(drawPNG2, origin2, z_end2, (255, 0, 0, 255), 3)
+
+ cv2.putText(draw2, "X (200 mm)", x_end2, cv2.FONT_HERSHEY_SIMPLEX, 0.6, (0,0,255), 2)
+ cv2.putText(draw2, "Y (-100 mm)", y_end2, cv2.FONT_HERSHEY_SIMPLEX, 0.6, (0,255,0), 2)
+ cv2.putText(draw2, "+Z (100 mm)", z_end2, cv2.FONT_HERSHEY_SIMPLEX, 0.6, (255,0,0), 2)
+
+ cv2.putText(drawPNG2, "X (200 mm)", x_end2, cv2.FONT_HERSHEY_SIMPLEX, 0.6, (0, 0, 255, 255), 2)
+ cv2.putText(drawPNG2, "Y (-100 mm)", y_end2, cv2.FONT_HERSHEY_SIMPLEX, 0.6, (0, 255, 0, 255), 2)
+ cv2.putText(drawPNG2, "+Z (100 mm)", z_end2, cv2.FONT_HERSHEY_SIMPLEX, 0.6, (255, 0, 0, 255), 2)
+
+ out_img2 = f"{base2}_two_cam_annotated.jpg"
+ cv2.imwrite(out_img2, draw2)
+ print(f"[INFO] Annotated image saved as '{out_img2}'.")
+
+ gray2 = cv2.cvtColor(drawPNG2, cv2.COLOR_BGR2GRAY)
+ _, alpha2 = cv2.threshold(gray2, 0, 255, cv2.THRESH_BINARY)
+ drawPNG_2 = cv2.merge([drawPNG2[:, :, 0], drawPNG2[:, :, 1], drawPNG2[:, :, 2], alpha2])
+ out_png2 = f"{base2}_two_cam_overlay.png"
+ cv2.imwrite(out_png2, drawPNG_2)
+ print(f"[INFO] Overlay PNG saved as '{out_png2}'.")
+
+ except Exception as e:
+ print(f"[WARN] Failed to draw machine axes for camera2: {e}")
+
+if __name__ == '__main__':
+ main()
diff --git a/appVideoServer/programs/screenShot.js b/appVideoServer/programs/screenShot.js
new file mode 100644
index 0000000..1edcbd2
--- /dev/null
+++ b/appVideoServer/programs/screenShot.js
@@ -0,0 +1,135 @@
+const fs = require('fs');
+const path = require('path');
+const { exec } = require('child_process');
+const { logSnapshot } = require('./log');
+
+
+function snapshot(outDir, cam0, cam1, ws){
+
+ if (!fs.existsSync(outDir)) fs.mkdirSync(outDir, { recursive: true });
+ const picDate = Date.now();
+ const name0 = `snapshot_video0_${picDate}.jpg`;
+ const name1 = `snapshot_video1_${picDate}.jpg`;
+ cam0.snapshot(path.join(outDir, name0));
+ cam1.snapshot(path.join(outDir, name1));
+
+
+ strFile0 = path.join(outDir, name0);
+ strFile1 = path.join(outDir, name1);
+
+ const relUrl = `/snapshots/${name0}`;
+ const relUrlApp = `/snapshots/${name0.replace('.jpg','_two_cam_annotated.jpg')}`;
+ // The Python postprocessor writes an overlay named "_two_cam_overlay.png" and a CSV named "_two_cam.csv"
+ const relOverlay = `/snapshots/${name0.replace('.jpg','_two_cam_overlay.png')}`;
+ const relOverlayCSV = `/snapshots/${name0.replace('.jpg','_two_cam.csv')}`;
+
+ const annotatedPath = path.join(outDir, name0.replace('.jpg','_two_cam_annotated.jpg'));
+ const overlayPath = path.join(outDir, name0.replace('.jpg','_two_cam_overlay.png'));
+ const csvPath = path.join(outDir, name0.replace('.jpg','_two_cam.csv'));
+
+
+
+ const command = `python3 /usr/src/app/programs/readTwoImages.py -i ${strFile0} -i ${strFile1} -npz /usr/src/app/data/settings/callibration_cam0.npz -npz /usr/src/app/data/settings/callibration_cam1.npz -settings /usr/src/app/data/settings/settings.json`;
+ console.log("Executing Python " + command);
+
+ // Run the Python post-processing and send the snapshot response only
+ // after the annotated files are present to avoid transient 404s in the browser.
+ exec(command, (error, stdout, stderr) => {
+ try {
+ if (error) {
+ console.error(`Error: ${error.message}`);
+ // Capture which generated files actually exist for debugging
+ const files = {
+ annotated: fs.existsSync(annotatedPath),
+ overlay: fs.existsSync(overlayPath),
+ csv: fs.existsSync(csvPath)
+ };
+ // Log full details server-side for diagnosis
+ const detailed = {
+ type: 'snapshot',
+ ok: false,
+ error: error.message,
+ stdout: String(stdout).slice(0, 4096),
+ stderr: String(stderr).slice(0, 4096),
+ files
+ };
+ logSnapshot(command, JSON.stringify(detailed));
+
+ // Send a short, user-friendly error to the client (no large stdout/stderr)
+ const shortError = String(stderr || error.message || '').includes('Corrupt JPEG')
+ ? 'postprocessor failed: corrupt JPEG input'
+ : 'postprocessor failed';
+ try { ws.send(JSON.stringify({ type: 'snapshot', ok: false, error: shortError })); } catch (e) {}
+ return;
+ }
+
+ if (stderr) {
+ // Log stderr but don't fail outright; sometimes tools output warnings on stderr.
+ if (String(stderr).trim()) console.error(`Stderr: ${stderr}`);
+ }
+
+ console.log(`Output:\n${stdout}`);
+
+ // Wait up to ~1s (10 * 100ms) for the generated files to appear on disk.
+ const waitForFiles = (paths, attempts = 10, delayMs = 100) => new Promise((resolve) => {
+ let tries = 0;
+ (function poll() {
+ const ok = paths.every(p => fs.existsSync(p));
+ if (ok || tries >= attempts) return resolve(ok);
+ tries++;
+ setTimeout(poll, delayMs);
+ })();
+ });
+
+ waitForFiles([annotatedPath, overlayPath, csvPath]).then((found) => {
+ if (!found) {
+ const files = {
+ annotated: fs.existsSync(annotatedPath),
+ overlay: fs.existsSync(overlayPath),
+ csv: fs.existsSync(csvPath)
+ };
+ // Log details server-side
+ const detailed = {
+ type: 'snapshot',
+ ok: false,
+ url: relUrl,
+ urlApp: relUrlApp,
+ overlay: relOverlay,
+ overlayCSV: relOverlayCSV,
+ files
+ };
+ logSnapshot(command, JSON.stringify(detailed));
+ // Send a concise error to the client
+ try { ws.send(JSON.stringify({ type: 'snapshot', ok: false, error: 'postprocessor incomplete (missing outputs)' })); } catch (e) {}
+ return;
+ }
+
+ const response = JSON.stringify({
+ type: 'snapshot',
+ ok: found,
+ url: relUrl,
+ urlApp: relUrlApp,
+ overlay: relOverlay,
+ overlayCSV: relOverlayCSV
+ });
+ logSnapshot(command, response);
+ try { ws.send(response); } catch (e) {}
+ }).catch((waitErr) => {
+ console.error('waitForFiles failed:', waitErr);
+ const response = JSON.stringify({ type: 'snapshot', ok: false, error: String(waitErr) });
+ logSnapshot(command, response);
+ try { ws.send(response); } catch (e) {}
+ });
+ } catch (handlerErr) {
+ console.error('snapshot handler error:', handlerErr);
+ const response = JSON.stringify({ type: 'snapshot', ok: false, error: String(handlerErr) });
+ logSnapshot(command, response);
+ try { ws.send(response); } catch (e) {}
+ }
+ });
+
+
+}
+
+
+module.exports = { snapshot };
\ No newline at end of file
diff --git a/appVideoServer/programs/videoServer.js b/appVideoServer/programs/videoServer.js
new file mode 100644
index 0000000..ed3c55d
--- /dev/null
+++ b/appVideoServer/programs/videoServer.js
@@ -0,0 +1,234 @@
+// programs/videoServer.js
+'use strict';
+
+const fs = require('fs');
+const { spawn } = require('child_process');
+const WebSocket = require('ws');
+
+class JpegFrameSplitter {
+ constructor(onFrame) {
+ this.onFrame = onFrame;
+ this.buffer = Buffer.alloc(0);
+ }
+ push(chunk) {
+ if (!chunk || !chunk.length) return;
+ this.buffer = Buffer.concat([this.buffer, chunk]);
+ let start = this.buffer.indexOf(Buffer.from([0xFF, 0xD8]));
+ while (start !== -1) {
+ const end = this.buffer.indexOf(Buffer.from([0xFF, 0xD9]), start + 2);
+ if (end === -1) break;
+ const frame = this.buffer.slice(start, end + 2);
+ try { this.onFrame(frame); } catch {}
+ this.buffer = this.buffer.slice(end + 2);
+ start = this.buffer.indexOf(Buffer.from([0xFF, 0xD8]));
+ }
+ if (this.buffer.length > 8 * 1024 * 1024) {
+ const nextSOI = this.buffer.indexOf(Buffer.from([0xFF, 0xD8]));
+ this.buffer = nextSOI !== -1 ? this.buffer.slice(nextSOI) : Buffer.alloc(0);
+ }
+ }
+}
+
+class FFmpegStreamer {
+ /**
+ * devicePath: '/dev/videoX'
+ * options: {
+ * name, width, height, fps, quality,
+ * input: { format, fps, size, useWallclock, threadQueueSize, channel },
+ * tryFormats: [ 'mjpeg', undefined, 'yuyv422', 'rgb24' ]
+ * }
+ */
+ constructor(devicePath, options = {}) {
+ this.devicePath = devicePath;
+ this.name = options.name || devicePath;
+ this.opts = {
+ width: options.width ?? undefined,
+ height: options.height ?? undefined,
+ fps: options.fps ?? 20,
+ quality: options.quality ?? 5,
+ input: {
+ format: options.input?.format,
+ fps: options.input?.fps,
+ size: options.input?.size,
+ useWallclock: options.input?.useWallclock ?? true,
+ threadQueueSize: options.input?.threadQueueSize ?? 64,
+ channel: options.input?.channel,
+ },
+ tryFormats: (options.tryFormats || [options.input?.format, 'yuyv422', 'mjpeg', 'rgb24'])
+ .filter((v, i, a) => a.indexOf(v) === i),
+ };
+
+ this.proc = null;
+ this.clients = new Set();
+ this.startedAt = null;
+ this.latestFrame = null;
+ this.splitter = null;
+
+ this.formatIdx = 0;
+ this.currentFormat = this.opts.tryFormats[this.formatIdx];
+
+ this._restarting = false;
+ this._backoffMs = 500;
+ this._maxBackoffMs = 8000;
+ this._stderrBuf = [];
+ this._stderrMaxLines = 8;
+
+ this._quickFailCount = 0;
+ this._quickFailLimit = 6;
+ this._suspendedUntil = 0;
+ }
+
+ get running() { return !!this.proc; }
+ _scaling() { return Number(this.opts.width) > 0 && Number(this.opts.height) > 0; }
+
+ _buildFfmpegArgs() {
+ const outFps = this.opts.fps;
+ const quality = this.opts.quality;
+ const scaling = this._scaling();
+
+ const inFmt = this.currentFormat;
+ const inFps = this.opts.input.fps;
+ const inSize = this.opts.input.size;
+ const useWallclock = this.opts.input.useWallclock;
+ const tqs = this.opts.input.threadQueueSize;
+ const inChannel = this.opts.input.channel;
+
+ const args = [
+ '-hide_banner', '-loglevel', 'error', '-nostdin',
+ '-f', 'video4linux2',
+ ...(tqs ? ['-thread_queue_size', String(tqs)] : []),
+ ...(inFmt ? ['-input_format', String(inFmt)] : []),
+ ...(inFps ? ['-framerate', String(inFps)] : []),
+ ...(inSize ? ['-video_size', String(inSize)] : []),
+ ...(typeof inChannel === 'number' ? ['-channel', String(inChannel)] : []),
+ ...(useWallclock ? ['-use_wallclock_as_timestamps', '1'] : []),
+ '-i', this.devicePath,
+ '-fflags', 'nobuffer', '-flags', 'low_delay', '-an', '-sn',
+ ];
+
+ if (inFmt === 'mjpeg' && !scaling) {
+ args.push('-vsync', 'passthrough', '-c:v', 'copy', '-f', 'mjpeg', 'pipe:1');
+ return args;
+ }
+ if (scaling) args.push('-vf', `scale=${Number(this.opts.width)}:${Number(this.opts.height)}`);
+ if (outFps) args.push('-r', String(outFps));
+ args.push('-f', 'mjpeg', '-q:v', String(quality), 'pipe:1');
+ return args;
+ }
+
+ _logStderr(d) {
+ const s = d.toString().trim();
+ if (!s) return;
+ this._stderrBuf.push(s);
+ if (this._stderrBuf.length > this._stderrMaxLines) this._stderrBuf.shift();
+ }
+
+ start() {
+ if (this.proc) return;
+ if (Date.now() < this._suspendedUntil) {
+ const wait = this._suspendedUntil - Date.now();
+ console.warn(`[FFmpeg] ${this.name} suspended for ${wait}ms due to repeated failures`);
+ return setTimeout(() => this.start(), wait);
+ }
+
+ const args = this._buildFfmpegArgs();
+ console.log(`[FFmpeg] Start ${this.devicePath} (${this.name}) :: ${args.join(' ')}`);
+
+ this._stderrBuf = [];
+ this.proc = spawn('ffmpeg', args, { stdio: ['ignore', 'pipe', 'pipe'], detached: true });
+ this.startedAt = Date.now();
+
+ this.splitter = new JpegFrameSplitter((frame) => {
+ this.latestFrame = frame;
+ this._broadcast(frame);
+ });
+
+ this.proc.stdout.on('data', (chunk) => this.splitter?.push(chunk));
+ this.proc.stderr.on('data', (d) => this._logStderr(d));
+
+ this.proc.on('exit', (code, signal) => {
+ console.warn(`[FFmpeg] ${this.devicePath} exited code=${code} sig=${signal}`);
+ if (this._stderrBuf.length) console.warn(`[FFmpeg] ${this.name} last errors:\n - ${this._stderrBuf.join('\n - ')}`);
+
+ this.proc = null;
+ const quick = (Date.now() - (this.startedAt || Date.now())) < 2000;
+ this.startedAt = null;
+
+ if (quick && !this._restarting) {
+ this._quickFailCount++;
+ this.formatIdx = (this.formatIdx + 1) % this.opts.tryFormats.length;
+ this.currentFormat = this.opts.tryFormats[this.formatIdx];
+ console.warn(`[FFmpeg] ${this.name}: quick failure -> trying next format: ${this.currentFormat}`);
+ } else {
+ this._quickFailCount = 0;
+ }
+
+ if (this._quickFailCount >= this._quickFailLimit) {
+ this._suspendedUntil = Date.now() + 60000; // 60s pause
+ this._quickFailCount = 0;
+ console.error(`[FFmpeg] ${this.name}: too many quick failures; suspending restarts for 60s`);
+ }
+
+ const delay = this._restarting ? 300 : Math.min(this._backoffMs, this._maxBackoffMs);
+ setTimeout(() => {
+ if (!this._restarting) this._backoffMs = Math.min(this._backoffMs * 2, this._maxBackoffMs);
+ else this._backoffMs = 500;
+ this.start();
+ }, delay);
+ this._restarting = false;
+ });
+ }
+
+ _killProcessGroup(signal = 'SIGTERM') {
+ if (!this.proc) return;
+ try {
+ if (process.platform !== 'win32') process.kill(-this.proc.pid, signal);
+ else this.proc.kill(signal);
+ } catch {}
+ }
+
+ stop() {
+ if (!this.proc) return;
+ this._restarting = false;
+ this._killProcessGroup('SIGTERM');
+ }
+
+ restart(newOpts = {}) {
+ this._restarting = true;
+ if (newOpts.input) this.opts.input = { ...this.opts.input, ...newOpts.input };
+ this.opts = { ...this.opts, ...newOpts, input: this.opts.input };
+ if (newOpts.input && Object.prototype.hasOwnProperty.call(newOpts.input, 'format')) {
+ const idx = this.opts.tryFormats.indexOf(this.opts.input.format);
+ if (idx >= 0) {
+ this.formatIdx = idx;
+ this.currentFormat = this.opts.tryFormats[this.formatIdx];
+ }
+ }
+ if (this.proc) this._killProcessGroup('SIGTERM'); else { this._restarting = false; this.start(); }
+ }
+
+ attach(ws) {
+ this.clients.add(ws);
+ if (this.latestFrame && ws.readyState === WebSocket.OPEN) {
+ try { ws.send(this.latestFrame, { binary: true }); } catch {}
+ }
+ ws.on('close', () => this.clients.delete(ws));
+ }
+
+ snapshot(toFile) {
+ if (!this.latestFrame) throw new Error('No frame available yet');
+ fs.writeFileSync(toFile, this.latestFrame);
+ return toFile;
+ }
+
+ _broadcast(frame) {
+ if (!this.clients.size) return;
+ for (const ws of this.clients) {
+ if (ws.readyState !== WebSocket.OPEN) continue;
+ if (ws.bufferedAmount > 512 * 1024) continue; // drop if back-pressured
+ try { ws.send(frame, { binary: true }); } catch {}
+ }
+ }
+}
+
+module.exports = { FFmpegStreamer };
\ No newline at end of file
diff --git a/appVideoServer/public/GamePad.js b/appVideoServer/public/GamePad.js
new file mode 100644
index 0000000..e8d72a6
--- /dev/null
+++ b/appVideoServer/public/GamePad.js
@@ -0,0 +1,110 @@
+var isRunning = false;
+var gamePadId = 0;
+var gamepad = {};
+
+let lastCheckTime = 0;
+
+
+
+function checkGamePad() {
+ if(isRunning == false){return;}
+
+ const stepSize = "0.01";
+ const stepSizeXYZ = "0.5"; // 3 ist auch ok
+ const stepSizeE = "0.01";
+ var gp = navigator.getGamepads()[gamePadId]
+ var buttons = gp.buttons
+
+ var xyzSpeed = 10; // 100 geht auch
+
+ var psi = gp.axes[0];
+ var z = gp.axes[1];
+ var x = gp.axes[2];
+ var y = gp.axes[3];
+
+
+ // Dreieck zum Dreieck-Setzen
+ if (buttons[3].pressed) {
+ socketDriver.send(`G90 G1 X0 Y300 Z0 A${Math.PI/2} B${-1.0*Math.PI/2} C0 F${xyzSpeed}`);
+ }
+ if (buttons[4].pressed) {
+ //console.log("x=" + robot.x + " y=" + robot.y + " z=" + robot.z);
+ }
+
+
+
+ // X Button setzt eine Marke
+ if(buttons[0].pressed && (Date.now() - lastCheckTime > 500)){
+ lastCheckTime = Date.now()
+ console.log('FPoint!');
+ socketDriver.send('FPoint');
+ socketDriver.send('FShow');
+ }
+
+ // L1 und R1 Button to forward-backward in Point-List
+ if(gp.buttons[4].pressed && (Date.now() - lastCheckTime > 500)){
+ lastCheckTime = Date.now()
+ socketDriver.send('FMinus');
+ socketDriver.send('FShow');
+ }
+ if(gp.buttons[5].pressed && (Date.now() - lastCheckTime > 500)){
+ lastCheckTime = Date.now()
+ socketDriver.send('FPlus');
+ socketDriver.send('FShow');
+ }
+
+ if (x < -0.2) { socketDriver.send(`G91 G1 X+${stepSizeXYZ} F${xyzSpeed}`);}
+ if (x > 0.2) { socketDriver.send(`G91 G1 X-${stepSizeXYZ} F${xyzSpeed}`);}
+
+ if (y < -0.2) { socketDriver.send(`G91 G1 Y${stepSizeXYZ} F${xyzSpeed}`); }
+ if (y > 0.2) { socketDriver.send(`G91 G1 Y-${stepSizeXYZ} F${xyzSpeed}`);}
+
+ if (z < -0.2) { socketDriver.send(`G91 G1 Z${stepSizeXYZ} F${xyzSpeed}`); }
+ if (z > 0.2) { socketDriver.send(`G91 G1 Z-${stepSizeXYZ} F${xyzSpeed}`); }
+
+
+ // Greif-Richtung
+ // LeftRight
+ if(buttons[14].pressed){ socketDriver.send(`G91 G1 A${stepSize} F${xyzSpeed}`);}
+ if(buttons[15].pressed){ socketDriver.send(`G91 G1 A-${stepSize} F${xyzSpeed}`);}
+ // Up - Down
+ if(buttons[12].pressed){ socketDriver.send(`G91 G1 B${stepSize} F${xyzSpeed}`);}
+ if(buttons[13].pressed){ socketDriver.send(`G91 G1 B-${stepSize} F${xyzSpeed}`);}
+ // Drehung
+ if (psi < -0.2) { socketDriver.send(`G91 G1 C${stepSize} F${xyzSpeed}`); }
+ if (psi > 0.2) { socketDriver.send(`G91 G1 C-${stepSize} F${xyzSpeed}`); }
+
+ // Trigger-Buttons für Öffnen und Schliessen
+ if(buttons[6].pressed){socketDriver.send(`G91 G1 E-${stepSizeE} F${xyzSpeed}`);}
+ if(buttons[7].pressed){socketDriver.send(`G91 G1 E${stepSizeE} F${xyzSpeed}`);}
+
+ if (isRunning) { setTimeout(checkGamePad, 15);}
+}
+
+function gamepadHandler(event, connecting) {
+
+ gamepad = event.gamepad;
+ if (typeof gamepad === `undefined`) {
+ isRunning = false;
+ gamePadId = 0;
+ console.warn("GamePad kann nicht gefunden werden");
+ return;
+ }
+
+ if (connecting) {
+ console.log("GamePad " + event.gamepad.index + " connected");
+ gamePadId = gamepad.index;
+ isRunning = true;
+ setTimeout(checkGamePad, 20);
+ } else {
+ console.log("GamePad " +gamePadId +" disconnected");
+ isRunning = false;
+ gamePadId = 0;
+ }
+}
+
+
+window.addEventListener("gamepadconnected", function (e) { gamepadHandler(e, true); }, false);
+window.addEventListener("gamepaddisconnected", function (e) { gamepadHandler(e, false); }, false);
+
+document.addEventListener("touchstart", e => { console.log("TouchStart"); })
\ No newline at end of file
diff --git a/appVideoServer/public/KeyboardInput.js b/appVideoServer/public/KeyboardInput.js
new file mode 100644
index 0000000..8e26db3
--- /dev/null
+++ b/appVideoServer/public/KeyboardInput.js
@@ -0,0 +1,64 @@
+document.onkeydown = checkKey;
+
+function checkKey(e) {
+
+ e = e || window.event;
+
+ if(e.key == 'a' || e.key == 'A')
+ {
+ console.log("back to A position");
+ socketDriver.send(`G90 G1 X0 Y300 Z0 A${Math.PI/2} B-${Math.PI/2} C0 F100`);
+ }
+
+ // Hand-Winkel (Eulerwinkel)
+ else if(e.key == 'i' || e.key == 'I'){
+ socketDriver.send('G91 G1 B+0.1 F100');
+ }
+ else if(e.key == 'k' || e.key == 'K'){
+ socketDriver.send('G91 G1 B-0.1 F100');
+ }
+ else if(e.key == 'l' || e.key == 'L'){
+ socketDriver.send('G91 G1 A+0.1 F100');
+ }
+ else if(e.key == 'j' || e.key == 'J'){
+ socketDriver.send('G91 G1 A-0.1 F100');
+ }
+ else if(e.key == 'o' || e.key == 'O'){
+ socketDriver.send('G91 G1 C+0.1 F100');
+ }
+ else if(e.key == 'u' || e.key == 'U'){
+ socketDriver.send('G91 G1 C-0.1 F100');
+ }
+
+ // XYZ Koordinaten
+ else if(e.key == 'e' || e.key == 'E'){
+ socketDriver.send('G91 G1 Z+5 F100');
+ }
+ else if(e.key == 'd' || e.key == 'D'){
+ socketDriver.send('G91 G1 Z-5 F100');
+ }
+ else if(e.key == 's' || e.key == 'S'){
+ socketDriver.send('G91 G1 X5 F100');
+ }
+ else if(e.key == 'f' || e.key == 'S'){
+ socketDriver.send('G91 G1 X-5 F100');
+ }
+ else if(e.key == 'r' || e.key == 'R'){
+ socketDriver.send('G91 G1 Y5 F100');
+ }
+ else if(e.key == 'w' || e.key == 'W'){
+ socketDriver.send('G91 G1 Y-5 F100');
+ }
+
+ // File & Log-Operations
+ else if(e.key == ' '){
+ console.log('FPoint!')
+ socketDriver.send('FPoint');
+ }
+ else if(e.key == 'b'){
+ socketDriver.send('FMinus');
+ }
+ else if(e.key == 'n'){
+ socketDriver.send('FPlus');
+ }
+}
\ No newline at end of file
diff --git a/appVideoServer/public/WebSocket.js b/appVideoServer/public/WebSocket.js
new file mode 100644
index 0000000..e6c1ce4
--- /dev/null
+++ b/appVideoServer/public/WebSocket.js
@@ -0,0 +1,25 @@
+const protocolS = location.protocol === "https:" ? "wss://" : "ws://";
+const robotURL = protocolS + location.host + "/ws/robot";
+console.log("socketDriver try to connect to "+ robotURL);
+
+const socketDriver = new WebSocket(robotURL);
+
+
+
+socketDriver.onopen = () => { console.log("socketDriver WebSocket connected"); };
+
+socketDriver.onmessage = (event) => {
+ if(event.data.toString().includes("position")){
+ console.log("Position: " + event.data);
+ }
+ else if(event.data.toString().includes("XYZ__FShow__XYZ")){
+ const content = event.data.toString().split("XYZ__FShow__XYZ")[1];
+ document.querySelectorAll("textarea#GCodeWindow.editor-look")[0].value = content;
+ }
+ else{
+ console.log('DATA SinceStartup: ' + (Date.now() - startTime).toString() +': ', event.data);
+ }
+}
+
+socketDriver.onclose = () => {console.log("socketDriver WebSocket is closing");};
+socketDriver.onerror = (err) => { console.error("socketDriver socket error:", err); };
\ No newline at end of file
diff --git a/appVideoServer/public/app.js b/appVideoServer/public/app.js
new file mode 100644
index 0000000..b5cdb53
--- /dev/null
+++ b/appVideoServer/public/app.js
@@ -0,0 +1,72 @@
+// /public/app.js
+// Small bootstrap moved out of index.html to satisfy CSP (`script-src 'self'`).
+(function () {
+ const isSecure = location.protocol === 'https:';
+ const wsProto = isSecure ? 'wss' : 'ws';
+ const base = `${wsProto}://${location.host}`;
+
+ // Camera 0 with control channel
+ window.VideoService.attachStream({
+ url: `${base}/ws/video0`,
+ canvas: document.getElementById('canvas0'),
+ statusEl: document.getElementById('status0'),
+ control: {
+ resSelect: document.getElementById('res0'),
+ fpsSelect: document.getElementById('fps0'),
+ qSelect: document.getElementById('q0'),
+ applyBtn: document.getElementById('apply0'),
+ snapshotBtn: document.getElementById('snap0'),
+ startBtn: document.getElementById('start0'),
+ stopBtn: document.getElementById('stop0'),
+ snapshotOutEl: document.getElementById('snapshotLink'),
+ }
+ });
+
+ // Camera 1 (no control)
+ window.VideoService.attachStream({
+ url: `${base}/ws/video1`,
+ canvas: document.getElementById('canvas1'),
+ statusEl: document.getElementById('status1'),
+ });
+
+ // Run an automatic snapshot shortly after the page loads so the client
+ // receives the freshest annotated image/CSV on startup. This uses a
+ // synthetic click on the snapshot button; the handler will no-op if the
+ // WebSocket isn't open yet.
+ setTimeout(() => {
+ const snapBtn = document.getElementById('snap0');
+ if (snapBtn) snapBtn.click();
+ }, 200);
+
+ // Attach handlers for the Point/Up/Down buttons (no inline JS, CSP-safe)
+ const btnPoint = document.getElementById('btnPoint');
+ const btnDown = document.getElementById('btnDown');
+ const btnUp = document.getElementById('btnUp');
+ if (btnPoint) btnPoint.addEventListener('click', () => {
+ console.log('FPoint!');
+ try { socketDriver.send('FPoint'); socketDriver.send('FShow'); } catch (e) { console.error(e); }
+ });
+ if (btnDown) btnDown.addEventListener('click', () => {
+ console.log('FPlus');
+ try { socketDriver.send('FPlus'); socketDriver.send('FShow'); } catch (e) { console.error(e); }
+ });
+ if (btnUp) btnUp.addEventListener('click', () => {
+ console.log('FMinus');
+ try { socketDriver.send('FMinus'); socketDriver.send('FShow'); } catch (e) { console.error(e); }
+ });
+
+ // Other buttons that were previously using inline onclicks.
+ const btnInfo = document.getElementById('b_M114');
+ const btnNull = document.getElementById('b_G28');
+ const btnListFile = document.getElementById('btnListFile');
+ const btnSendGCode = document.getElementById('btnSendGCode');
+ if (btnInfo) btnInfo.addEventListener('click', () => { try { socketDriver.send('M114'); } catch (e) { console.error(e); } });
+ if (btnNull) btnNull.addEventListener('click', () => { try { socketDriver.send('G28'); } catch (e) { console.error(e); } });
+ if (btnListFile) btnListFile.addEventListener('click', () => { try { socketDriver.send('FShow'); } catch (e) { console.error(e); } });
+ if (btnSendGCode) btnSendGCode.addEventListener('click', () => {
+ try {
+ const input = document.getElementById('GKarth');
+ if (input && input.value) socketDriver.send(input.value);
+ } catch (e) { console.error(e); }
+ });
+})();
diff --git a/appVideoServer/public/buttonCmd.js b/appVideoServer/public/buttonCmd.js
new file mode 100644
index 0000000..8fd6c9d
--- /dev/null
+++ b/appVideoServer/public/buttonCmd.js
@@ -0,0 +1,23 @@
+
+
+document.getElementById("b_uparrow").addEventListener('click',() => { socketDriver.send(`G91 G1 Z10 F100`);});
+document.getElementById("b_downarw").addEventListener('click',() => { socketDriver.send(`G90 G1 Z-10 F100`);});
+document.getElementById("b_right").addEventListener('click',() => { socketDriver.send(`G90 G1 X10 F100`);});
+document.getElementById("b_left").addEventListener('click',() => { socketDriver.send(`G90 G1 X-10 F100`);});
+document.getElementById("b_forward").addEventListener('click',() => { socketDriver.send(`G90 G1 Y10 F100`);});
+document.getElementById("b_backward").addEventListener('click',() => { socketDriver.send(`G90 G1 Y-10 F100`);});
+
+document.getElementById("b_aPlus").addEventListener('click',() => { socketDriver.send(`G91 G1 A0.10 F100`);});
+document.getElementById("b_aMinus").addEventListener('click',() => { socketDriver.send(`G91 G1 A-0.10 F100`);});
+document.getElementById("b_bPlus").addEventListener('click',() => { socketDriver.send(`G91 G1 B0.10 F100`);});
+document.getElementById("b_bMinus").addEventListener('click',() => { socketDriver.send(`G91 G1 B-0.10 F100`);});
+document.getElementById("b_cPlus").addEventListener('click',() => { socketDriver.send(`G91 G1 C0.10 F100`);});
+document.getElementById("b_cMinus").addEventListener('click',() => { socketDriver.send(`G91 G1 C-0.10 F100`);});
+
+document.getElementById("b_ePlus").addEventListener('click',() => { socketDriver.send(`G91 G1 E0.10 F100`);});
+document.getElementById("b_eMinus").addEventListener('click',() => { socketDriver.send(`G91 G1 E-0.10 F100`);});
+
+
+document.getElementById("b_default").addEventListener('click',() => { socketDriver.send(`G90 G1 X0 Y300 Z0 A${Math.PI/2} B-${Math.PI/2} C0 F100`);});
+document.getElementById("b_G28").addEventListener('click',() => { socketDriver.send(`G28`);});
+document.getElementById("b_M114").addEventListener('click',() => { socketDriver.send(`M114`);});
diff --git a/appVideoServer/public/index.html b/appVideoServer/public/index.html
new file mode 100644
index 0000000..e25c399
--- /dev/null
+++ b/appVideoServer/public/index.html
@@ -0,0 +1,108 @@
+
+
+
+
+ Dual Camera Stream (HTTPS + WSS)
+
+
+
+
+
+
+
+
+ Robot Control
+
+
+
+
+ Camera 0
+
+
+
+
+

+
+ Connecting…
+
+
+
+
+ Camera 1
+
+
+
+ Connecting…
+
+
+
+
+
+
+
+
Controls
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
\ No newline at end of file
diff --git a/appVideoServer/public/indexA.css b/appVideoServer/public/indexA.css
new file mode 100644
index 0000000..33c015c
--- /dev/null
+++ b/appVideoServer/public/indexA.css
@@ -0,0 +1,203 @@
+:root { color-scheme: dark light; }
+/* Overlay opacity is configurable here. Set to 1 to let PNG alpha be authoritative */
+:root {
+ --overlay-opacity: 1; /* default overlay alpha applied client-side */
+}
+
+body {
+ font-family: system-ui, -apple-system, Segoe UI, Roboto, sans-serif;
+ margin: 0;
+ padding: 1rem;
+ background: #0b1020;
+ color: #e7eaf6;
+
+}
+
+h1, h2 {
+ margin: 0.5rem 0 0.25rem;
+}
+
+.grid {
+ display: grid;
+ gap: 1rem;
+ /*
+ grid-auto-flow: column;
+ grid-auto-columns: 1280px;
+ justify-content: start;
+ */
+ grid-template-columns: repeat(auto-fit, minmax(1280px, 1fr));
+ align-items: start;
+}
+
+.panel {
+ background: #141b34;
+ border: 1px solid #242c4f;
+ border-radius: 12px;
+ padding: 1rem;
+ box-shadow: 0 10px 24px rgba(0,0,0,0.25);
+}
+
+.video-wrap {
+ position: relative;
+ background: #000;
+ border-radius: 8px;
+ overflow: hidden;
+ /* Keep a 16:9 box that doesn't stretch beyond the source resolution */
+ width: 100%;
+ max-width: 1280px;
+ aspect-ratio: 16 / 9;
+ margin: 0 auto;
+}
+
+/* Ensure canvas and overlay are sized identically and keep the same aspect ratio
+ so overlays align correctly when the window is resized. */
+.video-wrap canvas,
+.video-wrap img,
+#overlayImg {
+ position: absolute;
+ inset: 0; /* top:0; right:0; bottom:0; left:0 */
+ width: 100%;
+ height: 100%;
+ /* Use `contain` so both layers scale uniformly and show letterboxing instead
+ of stretching or cropping when the container size differs from the image. */
+ object-fit: contain;
+ background: #000;
+}
+
+.video-wrap canvas {
+ z-index: 1;
+}
+.video-wrap img,
+#overlayImg {
+ z-index: 2;
+ pointer-events: none; /* don't block interactions with the canvas */
+ opacity: var(--overlay-opacity);
+}
+
+.status {
+ font-size: 0.9rem;
+ opacity: 0.85;
+ margin: 0.5rem 0 0;
+}
+
+.controls {
+ display: grid;
+ grid-template-columns: repeat(auto-fit, minmax(150px, 1fr));
+ gap: 0.5rem;
+ margin-top: 0.75rem;
+}
+
+.controls label {
+ display: grid;
+ gap: 0.25rem;
+ font-size: 0.9rem;
+}
+
+select, input, button {
+ padding: 0.5rem 0.6rem;
+ border-radius: 8px;
+ border: 1px solid #2d3766;
+ background: #0d1530;
+ color: #e7eaf6;
+}
+
+button.primary {
+ background: #355dff;
+ border-color: #355dff;
+}
+
+a {
+ color: #9eb8ff;
+}
+
+footer {
+ margin-top: 1.25rem;
+ opacity: 0.7;
+ font-size: 0.9rem;
+}
+
+.muted {
+ opacity: 0.8;
+}
+
+
+/* Ensure overlay uses contain and respects alpha channel from the PNG
+ (the PNG's transparency is the authoritative source of which pixels
+ are transparent; CSS opacity only adjusts global alpha). */
+#overlayImg {
+ position: absolute;
+ inset: 0; /* shorthand for top:0; right:0; bottom:0; left:0; */
+ width: 100%;
+ height: 100%;
+ pointer-events: none;
+ opacity: var(--overlay-opacity);
+ object-fit: contain; /* preserve aspect ratio and don't distort */
+ background: transparent;
+}
+
+/* CSV table styles */
+.csv-table {
+ width: 440px; /* 4 columns * 200px each */
+ border-collapse: collapse;
+ margin-top: 0.5rem;
+ table-layout: fixed; /* use fixed layout so column widths are respected */
+}
+.csv-table th, .csv-table td {
+ border: 1px solid rgba(255,255,255,0.06);
+ padding: 0.35rem 0.5rem;
+ text-align: center;
+ font-size: 0.9rem;
+ width: 110px; /* fixed column width */
+ white-space: nowrap;
+ overflow: hidden;
+ text-overflow: ellipsis;
+}
+.csv-table th {
+ background: rgba(255,255,255,0.02);
+ font-weight: 600;
+}
+.csv-table tr:nth-child(even) td {
+ background: rgba(255,255,255,0.01);
+}
+
+/* Right-align CSV numeric data and use tabular digits for stable column alignment */
+.csv-table td { text-align: right; font-variant-numeric: tabular-nums; }
+
+#GCodeWindow {
+ width: 100%;
+ height: 200px;
+}
+
+/* Layout: place the buttons and GCode window side-by-side in their panel.
+ - `#divButtons` gets a fixed ~300px width
+ - `#divGCodeWindow` uses the remaining width
+ - On small screens they stack vertically for usability */
+/* Use floats for a predictable two-column layout inside the panel. */
+#divButtons {
+ float: left;
+ width: 300px;
+ box-sizing: border-box;
+ margin-right: 1rem;
+}
+#divGCodeWindow {
+ display: block;
+ margin-left: 320px; /* 300px left column + 1rem gap */
+ box-sizing: border-box;
+}
+
+/* Clear floats inside panels so subsequent content flows correctly */
+.panel::after {
+ content: "";
+ display: table;
+ clear: both;
+}
+@media (max-width: 800px) {
+ #divButtons, #divGCodeWindow {
+ display: block;
+ float: none;
+ width: 100%;
+ margin-left: 0;
+ margin-right: 0;
+ }
+}
+
diff --git a/appVideoServer/public/readCSV.js b/appVideoServer/public/readCSV.js
new file mode 100644
index 0000000..d5c821b
--- /dev/null
+++ b/appVideoServer/public/readCSV.js
@@ -0,0 +1,76 @@
+// public/readCSV.js
+// Fetch a CSV file and render a small table into the given container.
+// Usage: window.readCSV.renderCSV(containerOrId, csvUrl)
+
+(function () {
+ async function renderCSV(container, csvUrl) {
+ console.log("readCSV should start");
+ console.log('readCSV.renderCSV', container, csvUrl);
+
+ const el = (typeof container === 'string') ? document.getElementById(container) : container;
+ if (!el) return;
+ if (!csvUrl) {
+ el.innerHTML = 'No CSV URL provided';
+ return;
+ }
+ el.innerHTML = 'Loading CSV…';
+ try {
+ const res = await fetch(csvUrl, { cache: 'no-store' });
+ if (!res.ok) {
+ el.innerHTML = `CSV not found (HTTP ${res.status})`;
+ return;
+ }
+ const text = await res.text();
+ const lines = text.trim().split(/\r?\n/).filter(Boolean);
+ if (!lines.length) {
+ el.innerHTML = 'CSV is empty';
+ return;
+ }
+ const headers = lines[0].split(',').map(h => h.trim());
+ // Look for id,x,y,z columns (case-insensitive)
+ const lower = headers.map(h => h.toLowerCase());
+ const ids = {
+ id: lower.indexOf('id'),
+ x: lower.indexOf('x_mm'),
+ y: lower.indexOf('y_mm'),
+ z: lower.indexOf('z_mm')
+ };
+ // If any of these are missing, show a helpful message
+ if (ids.id === -1 || ids.x === -1 || ids.y === -1 || ids.z === -1) {
+ el.innerHTML = `CSV does not contain required columns: id, x, y, z ${csvUrl}`;
+ return;
+ }
+
+ // Build table
+ const table = document.createElement('table');
+ table.className = 'csv-table';
+ const thead = table.createTHead();
+ const thr = thead.insertRow();
+ ['id', 'x [mm]', 'y [mm]', 'z [mm]'].forEach(h => {
+ const th = document.createElement('th');
+ th.textContent = h;
+ thr.appendChild(th);
+ });
+ const tbody = table.createTBody();
+
+ for (let i = 1; i < lines.length; i++) {
+ const row = lines[i].split(',').map(c => c.trim());
+ // Skip if row doesn't have enough columns
+ if (row.length < headers.length) continue;
+ const tr = tbody.insertRow();
+ ['id', 'x', 'y', 'z'].forEach(k => {
+ const td = tr.insertCell();
+ td.textContent = row[ids[k]] ?? '';
+ });
+ }
+
+ el.innerHTML = ''; // clear
+ el.appendChild(table);
+ } catch (err) {
+ console.error('readCSV error', err);
+ el.innerHTML = `Error loading CSV`;
+ }
+ }
+
+ window.readCSV = { renderCSV };
+})();
diff --git a/appVideoServer/public/snapshots/snapshot_video0_1765974554630.jpg b/appVideoServer/public/snapshots/snapshot_video0_1765974554630.jpg
new file mode 100644
index 0000000..b35b56b
Binary files /dev/null and b/appVideoServer/public/snapshots/snapshot_video0_1765974554630.jpg differ
diff --git a/appVideoServer/public/snapshots/snapshot_video0_1765974554630_two_cam.csv b/appVideoServer/public/snapshots/snapshot_video0_1765974554630_two_cam.csv
new file mode 100644
index 0000000..f7dea01
--- /dev/null
+++ b/appVideoServer/public/snapshots/snapshot_video0_1765974554630_two_cam.csv
@@ -0,0 +1,9 @@
+id,x_mm,y_mm,z_mm,roll_deg,pitch_deg,yaw_deg
+camera1,461.226,163.150,208.814,-115.601,2.852,108.987
+camera2,368.003,-324.025,849.279,-147.633,-3.697,60.975
+20,-27.787,-370.901,-104.452,-0.238,-4.375,143.811
+25,-67.077,-165.677,-12.623,-2.256,0.110,87.366
+50,0.002,-0.008,-0.007,-0.557,-0.254,0.228
+71,140.418,0.009,0.093,0.905,-2.137,1.508
+76,-204.436,-90.385,-94.522,-52.679,39.273,-87.214
+101,0.016,-80.028,-0.025,1.056,-2.213,0.260
diff --git a/appVideoServer/public/snapshots/snapshot_video0_1765974554630_two_cam.json b/appVideoServer/public/snapshots/snapshot_video0_1765974554630_two_cam.json
new file mode 100644
index 0000000..3d31956
--- /dev/null
+++ b/appVideoServer/public/snapshots/snapshot_video0_1765974554630_two_cam.json
@@ -0,0 +1,123 @@
+{
+ "metadata": {
+ "timestamp": "2025-12-17 12:29:14",
+ "reference_markers": [
+ 50,
+ 71,
+ 101
+ ],
+ "dict": "DICT_4X4_250",
+ "marker_size_mm": 25.0,
+ "rms_refs_px_cam1": 0.01816248951344627,
+ "rms_refs_px_cam2": 0.49688754115479944,
+ "description": "Two-camera joint optimization with triangulation"
+ },
+ "cameras": [
+ {
+ "id": "camera1",
+ "position_mm": [
+ 461.2260243096291,
+ 163.15047116357306,
+ 208.81423321244827
+ ],
+ "orientation_deg": {
+ "roll": -115.60069066047194,
+ "pitch": 2.8518474088280343,
+ "yaw": 108.98699397077662
+ }
+ },
+ {
+ "id": "camera2",
+ "position_mm": [
+ 368.0032092105987,
+ -324.02483230064206,
+ 849.2788823044326
+ ],
+ "orientation_deg": {
+ "roll": -147.6328488975886,
+ "pitch": -3.697144586874371,
+ "yaw": 60.97510432458154
+ }
+ }
+ ],
+ "markers": [
+ {
+ "id": 20,
+ "position_mm": [
+ -27.78722965547953,
+ -370.90144636184993,
+ -104.45169497289619
+ ],
+ "orientation_deg": {
+ "roll": -0.23809413256188228,
+ "pitch": -4.374834208590023,
+ "yaw": 143.81085305206332
+ }
+ },
+ {
+ "id": 25,
+ "position_mm": [
+ -67.07681274414062,
+ -165.6768341064453,
+ -12.623200416564941
+ ],
+ "orientation_deg": {
+ "roll": -2.2561967939168364,
+ "pitch": 0.10968211192904707,
+ "yaw": 87.36599578819637
+ }
+ },
+ {
+ "id": 50,
+ "position_mm": [
+ 0.0022646484430879354,
+ -0.007531278766691685,
+ -0.006839004810899496
+ ],
+ "orientation_deg": {
+ "roll": -0.5572651387919108,
+ "pitch": -0.2540478856154707,
+ "yaw": 0.22792865561204573
+ }
+ },
+ {
+ "id": 71,
+ "position_mm": [
+ 140.41845703125,
+ 0.009271804243326187,
+ 0.092652328312397
+ ],
+ "orientation_deg": {
+ "roll": 0.9053221063108222,
+ "pitch": -2.1366085994661774,
+ "yaw": 1.5077277441713781
+ }
+ },
+ {
+ "id": 76,
+ "position_mm": [
+ -204.43634100254326,
+ -90.3850951365776,
+ -94.52184634518557
+ ],
+ "orientation_deg": {
+ "roll": -52.67872835725091,
+ "pitch": 39.27299014262584,
+ "yaw": -87.21449748201128
+ }
+ },
+ {
+ "id": 101,
+ "position_mm": [
+ 0.01583130471408367,
+ -80.02842712402344,
+ -0.02530261129140854
+ ],
+ "orientation_deg": {
+ "roll": 1.0558520137504372,
+ "pitch": -2.2130377151018776,
+ "yaw": 0.2601617066921372
+ }
+ }
+ ]
+}
\ No newline at end of file
diff --git a/appVideoServer/public/snapshots/snapshot_video0_1765974554630_two_cam_annotated.jpg b/appVideoServer/public/snapshots/snapshot_video0_1765974554630_two_cam_annotated.jpg
new file mode 100644
index 0000000..8ee083c
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diff --git a/appVideoServer/public/snapshots/snapshot_video0_1765974554630_two_cam_overlay.png b/appVideoServer/public/snapshots/snapshot_video0_1765974554630_two_cam_overlay.png
new file mode 100644
index 0000000..2f63349
Binary files /dev/null and b/appVideoServer/public/snapshots/snapshot_video0_1765974554630_two_cam_overlay.png differ
diff --git a/appVideoServer/public/snapshots/snapshot_video0_1765975245635.jpg b/appVideoServer/public/snapshots/snapshot_video0_1765975245635.jpg
new file mode 100644
index 0000000..95abf3f
Binary files /dev/null and b/appVideoServer/public/snapshots/snapshot_video0_1765975245635.jpg differ
diff --git a/appVideoServer/public/snapshots/snapshot_video0_1765975245635_two_cam.csv b/appVideoServer/public/snapshots/snapshot_video0_1765975245635_two_cam.csv
new file mode 100644
index 0000000..c891594
--- /dev/null
+++ b/appVideoServer/public/snapshots/snapshot_video0_1765975245635_two_cam.csv
@@ -0,0 +1,7 @@
+id,x_mm,y_mm,z_mm,roll_deg,pitch_deg,yaw_deg
+camera1,744.393,-11.882,212.666,-115.660,2.222,96.551
+camera2,527.995,-443.448,881.443,-149.405,-0.614,30.363
+25,146.987,-219.644,-14.453,-1.475,-0.713,75.762
+50,-1.518,0.089,-0.276,-0.596,-1.297,0.062
+71,139.840,0.042,-0.031,0.036,-1.975,-0.196
+101,-2.288,-80.358,-0.673,0.487,-1.568,-0.808
diff --git a/appVideoServer/public/snapshots/snapshot_video0_1765975245635_two_cam.json b/appVideoServer/public/snapshots/snapshot_video0_1765975245635_two_cam.json
new file mode 100644
index 0000000..d66e42f
--- /dev/null
+++ b/appVideoServer/public/snapshots/snapshot_video0_1765975245635_two_cam.json
@@ -0,0 +1,97 @@
+{
+ "metadata": {
+ "timestamp": "2025-12-17 12:40:45",
+ "reference_markers": [
+ 50,
+ 71,
+ 101
+ ],
+ "dict": "DICT_4X4_250",
+ "marker_size_mm": 25.0,
+ "rms_refs_px_cam1": 0.45907110184149624,
+ "rms_refs_px_cam2": 1.8220535514255254,
+ "description": "Two-camera joint optimization with triangulation"
+ },
+ "cameras": [
+ {
+ "id": "camera1",
+ "position_mm": [
+ 744.3932024096008,
+ -11.882499535240939,
+ 212.66641344590275
+ ],
+ "orientation_deg": {
+ "roll": -115.66036055568036,
+ "pitch": 2.2216915445453633,
+ "yaw": 96.55059294849401
+ }
+ },
+ {
+ "id": "camera2",
+ "position_mm": [
+ 527.9947219168113,
+ -443.4476403624862,
+ 881.4430227800225
+ ],
+ "orientation_deg": {
+ "roll": -149.4054202299282,
+ "pitch": -0.6136995548592902,
+ "yaw": 30.363222205495898
+ }
+ }
+ ],
+ "markers": [
+ {
+ "id": 25,
+ "position_mm": [
+ 146.98660278320312,
+ -219.6441650390625,
+ -14.453299522399902
+ ],
+ "orientation_deg": {
+ "roll": -1.4751980332876062,
+ "pitch": -0.7130443690892287,
+ "yaw": 75.76221922077491
+ }
+ },
+ {
+ "id": 50,
+ "position_mm": [
+ -1.5184317827224731,
+ 0.08936363458633423,
+ -0.27635297179222107
+ ],
+ "orientation_deg": {
+ "roll": -0.5960699180502376,
+ "pitch": -1.296579669039671,
+ "yaw": 0.06174649369085999
+ }
+ },
+ {
+ "id": 71,
+ "position_mm": [
+ 139.83982849121094,
+ 0.04223456606268883,
+ -0.03088134340941906
+ ],
+ "orientation_deg": {
+ "roll": 0.03560029736445153,
+ "pitch": -1.9746336879120467,
+ "yaw": -0.1957084044000817
+ }
+ },
+ {
+ "id": 101,
+ "position_mm": [
+ -2.2875027656555176,
+ -80.35816192626953,
+ -0.673177182674408
+ ],
+ "orientation_deg": {
+ "roll": 0.4866379194238045,
+ "pitch": -1.5677675033219693,
+ "yaw": -0.8081315765533771
+ }
+ }
+ ]
+}
\ No newline at end of file
diff --git a/appVideoServer/public/snapshots/snapshot_video0_1765975245635_two_cam_annotated.jpg b/appVideoServer/public/snapshots/snapshot_video0_1765975245635_two_cam_annotated.jpg
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index 0000000..fdbf341
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diff --git a/appVideoServer/public/snapshots/snapshot_video0_1765975245635_two_cam_overlay.png b/appVideoServer/public/snapshots/snapshot_video0_1765975245635_two_cam_overlay.png
new file mode 100644
index 0000000..0d50ffa
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diff --git a/appVideoServer/public/snapshots/snapshot_video0_1765975263688.jpg b/appVideoServer/public/snapshots/snapshot_video0_1765975263688.jpg
new file mode 100644
index 0000000..7b0448f
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diff --git a/appVideoServer/public/snapshots/snapshot_video0_1765975271097.jpg b/appVideoServer/public/snapshots/snapshot_video0_1765975271097.jpg
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index 0000000..5ad7ed8
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diff --git a/appVideoServer/public/snapshots/snapshot_video0_1765975298025.jpg b/appVideoServer/public/snapshots/snapshot_video0_1765975298025.jpg
new file mode 100644
index 0000000..8512766
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diff --git a/appVideoServer/public/snapshots/snapshot_video0_1765975307378.jpg b/appVideoServer/public/snapshots/snapshot_video0_1765975307378.jpg
new file mode 100644
index 0000000..939e942
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diff --git a/appVideoServer/public/snapshots/snapshot_video0_1765975311865.jpg b/appVideoServer/public/snapshots/snapshot_video0_1765975311865.jpg
new file mode 100644
index 0000000..00b9b5e
Binary files /dev/null and b/appVideoServer/public/snapshots/snapshot_video0_1765975311865.jpg differ
diff --git a/appVideoServer/public/snapshots/snapshot_video0_1765975406077.jpg b/appVideoServer/public/snapshots/snapshot_video0_1765975406077.jpg
new file mode 100644
index 0000000..b29883c
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diff --git a/appVideoServer/public/snapshots/snapshot_video0_1765975406077_two_cam.csv b/appVideoServer/public/snapshots/snapshot_video0_1765975406077_two_cam.csv
new file mode 100644
index 0000000..1bd04e5
--- /dev/null
+++ b/appVideoServer/public/snapshots/snapshot_video0_1765975406077_two_cam.csv
@@ -0,0 +1,8 @@
+id,x_mm,y_mm,z_mm,roll_deg,pitch_deg,yaw_deg
+camera1,498.210,88.623,206.052,-119.838,2.196,102.110
+camera2,334.074,-396.876,854.525,-147.250,-0.513,39.282
+25,-93.825,-211.994,-12.439,-1.046,-0.406,84.805
+50,-0.004,0.003,0.012,-0.106,-0.397,-0.042
+71,140.045,-0.037,-0.014,0.502,-1.471,0.890
+76,-347.458,-82.554,-72.496,-4.794,0.320,-131.339
+101,-0.044,-80.081,-0.025,1.333,-0.936,-0.171
diff --git a/appVideoServer/public/snapshots/snapshot_video0_1765975406077_two_cam.json b/appVideoServer/public/snapshots/snapshot_video0_1765975406077_two_cam.json
new file mode 100644
index 0000000..bbc306b
--- /dev/null
+++ b/appVideoServer/public/snapshots/snapshot_video0_1765975406077_two_cam.json
@@ -0,0 +1,110 @@
+{
+ "metadata": {
+ "timestamp": "2025-12-17 12:43:26",
+ "reference_markers": [
+ 50,
+ 71,
+ 101
+ ],
+ "dict": "DICT_4X4_250",
+ "marker_size_mm": 25.0,
+ "rms_refs_px_cam1": 0.0689596563850227,
+ "rms_refs_px_cam2": 0.15658089852267823,
+ "description": "Two-camera joint optimization with triangulation"
+ },
+ "cameras": [
+ {
+ "id": "camera1",
+ "position_mm": [
+ 498.210011232767,
+ 88.62307649604217,
+ 206.05227415389444
+ ],
+ "orientation_deg": {
+ "roll": -119.83827305973767,
+ "pitch": 2.1955471129077124,
+ "yaw": 102.10968938445795
+ }
+ },
+ {
+ "id": "camera2",
+ "position_mm": [
+ 334.0739312137807,
+ -396.87615758651145,
+ 854.5248655333136
+ ],
+ "orientation_deg": {
+ "roll": -147.24989987242014,
+ "pitch": -0.5126818772143938,
+ "yaw": 39.28200265150137
+ }
+ }
+ ],
+ "markers": [
+ {
+ "id": 25,
+ "position_mm": [
+ -93.8246078491211,
+ -211.99365234375,
+ -12.43923568725586
+ ],
+ "orientation_deg": {
+ "roll": -1.0455208006289969,
+ "pitch": -0.405997221444331,
+ "yaw": 84.80479451113972
+ }
+ },
+ {
+ "id": 50,
+ "position_mm": [
+ -0.004142458084970713,
+ 0.0031922683119773865,
+ 0.011907931417226791
+ ],
+ "orientation_deg": {
+ "roll": -0.10642453044301076,
+ "pitch": -0.3968296567842359,
+ "yaw": -0.04171026817406525
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new file mode 100644
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new file mode 100644
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new file mode 100644
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diff --git a/appVideoServer/public/snapshots/snapshot_video0_1765976371308_two_cam.json b/appVideoServer/public/snapshots/snapshot_video0_1765976371308_two_cam.json
new file mode 100644
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--- /dev/null
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new file mode 100644
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new file mode 100644
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new file mode 100644
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diff --git a/appVideoServer/public/videoService.js b/appVideoServer/public/videoService.js
new file mode 100644
index 0000000..e42569f
--- /dev/null
+++ b/appVideoServer/public/videoService.js
@@ -0,0 +1,221 @@
+// /public/videoService.js
+// Client-side helper for consuming binary JPEG frames over WebSocket,
+// decoding with createImageBitmap, and drawing to a canvas with RAF.
+// For /ws/video0, supports sending control messages as JSON text.
+
+(function () {
+ class FrameRenderer {
+ constructor(canvas) {
+ this.canvas = canvas;
+ this.ctx = canvas.getContext('2d', { alpha: false, desynchronized: true, willReadFrequently: false });
+ this.queue = [];
+ this.maxQueue = 2; // keep at most 2 pending frames to limit latency
+ this._rafId = null;
+ this._running = false;
+ this._lastDraw = 0;
+ }
+ enqueue(bitmap) {
+ if (this.queue.length >= this.maxQueue) {
+ // drop older frame to keep latency low
+ const old = this.queue.shift();
+ if (old && 'close' in old) try { old.close(); } catch {}
+ }
+ this.queue.push(bitmap);
+ if (!this._running) this.start();
+ }
+ start() {
+ if (this._running) return;
+ this._running = true;
+ const loop = (ts) => {
+ if (!this._running) return;
+ const frame = this.queue.shift();
+ if (frame) {
+ const w = this.canvas.width, h = this.canvas.height;
+ this.ctx.drawImage(frame, 0, 0, w, h);
+ if ('close' in frame) try { frame.close(); } catch {}
+ this._lastDraw = ts;
+ }
+ this._rafId = requestAnimationFrame(loop);
+ };
+ this._rafId = requestAnimationFrame(loop);
+ }
+ stop() {
+ this._running = false;
+ if (this._rafId) cancelAnimationFrame(this._rafId);
+ this._rafId = null;
+ // cleanup queued frames
+ while (this.queue.length) {
+ const f = this.queue.shift();
+ if (f && 'close' in f) try { f.close(); } catch {}
+ }
+ // Clear canvas
+ this.ctx.clearRect(0, 0, this.canvas.width, this.canvas.height);
+ }
+ }
+
+ function prettyStatus(el, state, extra = '') {
+ const color = {
+ connecting: '#9eb8ff',
+ open: '#8cffbf',
+ closed: '#ff9e9e',
+ error: '#ffb167'
+ }[state] || '#e7eaf6';
+ el.innerHTML = `${state.toUpperCase()}${extra ? ' — ' + extra : ''}`;
+ }
+
+ async function blobToBitmap(blob) {
+ // createImageBitmap is widely supported; fallback to
if needed
+ return createImageBitmap(blob);
+ }
+
+ function parseWH(value) {
+ if (!value) return null;
+ const [w, h] = String(value).split('x').map(Number);
+ if (!w || !h) return null;
+ return { width: w, height: h };
+ }
+
+ function attachStream({ url, canvas, statusEl, control }) {
+ const renderer = new FrameRenderer(canvas);
+ let ws;
+ let reconnectDelay = 1000;
+ let closedOnPurpose = false;
+
+ function connect() {
+ prettyStatus(statusEl, 'connecting', url);
+ ws = new WebSocket(url);
+ ws.binaryType = 'blob';
+
+ ws.onopen = () => {
+ reconnectDelay = 1000;
+ prettyStatus(statusEl, 'open', 'streaming…');
+ // On connection, fetch the latest snapshot metadata so the UI can show
+ // the freshest overlay and CSV (prevents showing an old image cached in index.html).
+ if (control?.snapshotOutEl) {
+ fetch('/snapshots/latest', { cache: 'no-store' })
+ .then(r => r.ok ? r.json() : Promise.reject(new Error('no snapshot')))
+ .then((j) => {
+ if (!j?.ok) return;
+ const overlayPNG = (j.overlay ? `${j.overlay}?_t=${Date.now()}` : null);
+ const overlayCSV = (j.overlayCSV ? `${j.overlayCSV}?_t=${Date.now()}` : null);
+ if (overlayPNG) {
+ document.getElementById('overlayImg').src = overlayPNG;
+ }
+ if (window.readCSV && overlayCSV) {
+ window.readCSV.renderCSV('csvTable', overlayCSV);
+ }
+ // Show links to the latest snapshot in the snapshot output box (non-intrusive)
+ control.snapshotOutEl.innerHTML = `Latest snapshot: ${j.url}`;
+ }).catch(() => {
+ // ignore — no latest snapshot yet
+ });
+ }
+ };
+
+ ws.onmessage = async (evt) => {
+ if (typeof evt.data === 'string') {
+ // Control/meta message
+ try {
+ const msg = JSON.parse(evt.data);
+ if (msg.type === 'error') {
+ console.warn('Server error:', msg.error);
+ prettyStatus(statusEl, 'error', msg.error);
+ }
+ if (msg.type === 'snapshot' && control?.snapshotOutEl) {
+ if (msg.ok && msg.url && msg.urlApp) {
+ // Use overlay URL and CSV provided by the server (fallback to expected names)
+ const overlayPNG = msg.overlay || msg.urlApp.replace('_annotated.jpg','_two_cam_overlay.png');
+ // Prefer server-provided overlayCSV. If not present, derive from the original jpg name
+ const overlayCSV = msg.overlayCSV || msg.url.replace('.jpg','_two_cam.csv');
+
+ control.snapshotOutEl.innerHTML =
+ `Snapshot: ${msg.url} ` +
+ ` Recognized: ${msg.urlApp} ` +
+ ` Overlay: PNG Overlay`;
+ // Update overlay immediately — server now ensures files are ready before responding
+ document.getElementById('overlayImg').src = overlayPNG;
+ // Render CSV values into the csvTable container (if available)
+ if (window.readCSV) {
+ window.readCSV.renderCSV('csvTable', overlayCSV);
+ }
+ } else {
+ control.snapshotOutEl.textContent = 'Snapshot failed';
+ }
+ }
+ } catch {
+ // ignore non-JSON text frames
+ }
+ return;
+ }
+ // Binary JPEG frame
+ const blob = evt.data; // Blob of image/jpeg
+ try {
+ const bmp = await blobToBitmap(blob);
+ renderer.enqueue(bmp);
+ } catch (err) {
+ console.warn('Bitmap decode failed:', err);
+ }
+ };
+
+ ws.onerror = () => {
+ prettyStatus(statusEl, 'error', 'network error');
+ };
+
+ ws.onclose = () => {
+ renderer.stop();
+ prettyStatus(statusEl, 'closed', closedOnPurpose ? 'by client' : 'retrying…');
+ if (!closedOnPurpose) {
+ setTimeout(connect, reconnectDelay);
+ reconnectDelay = Math.min(reconnectDelay * 2, 10000);
+ }
+ };
+ }
+
+ connect();
+
+ // Attach controls if provided (video0)
+ if (control) {
+ const { resSelect, fpsSelect, qSelect, applyBtn, snapshotBtn, startBtn, stopBtn, snapshotOutEl } = control;
+
+ applyBtn?.addEventListener('click', () => {
+ if (!ws || ws.readyState !== WebSocket.OPEN) return;
+ const wh = parseWH(resSelect?.value);
+ const fps = Number(fpsSelect?.value || 15);
+ const q = Number(qSelect?.value || 5);
+ ws.send(JSON.stringify({
+ type: 'control',
+ action: 'setParams',
+ params: {
+ ...(wh || {}),
+ fps,
+ quality: q
+ }
+ }));
+ });
+
+ snapshotBtn?.addEventListener('click', () => {
+ if (!ws || ws.readyState !== WebSocket.OPEN) return;
+ snapshotOutEl.textContent = 'Taking snapshot…';
+ ws.send(JSON.stringify({ type: 'control', action: 'snapshot' }));
+ });
+
+ startBtn?.addEventListener('click', () => {
+ if (!ws || ws.readyState !== WebSocket.OPEN) return;
+ ws.send(JSON.stringify({ type: 'control', action: 'start' }));
+ });
+
+ stopBtn?.addEventListener('click', () => {
+ if (!ws || ws.readyState !== WebSocket.OPEN) return;
+ ws.send(JSON.stringify({ type: 'control', action: 'stop' }));
+ });
+ }
+
+ return {
+ close: () => { closedOnPurpose = true; ws?.close(); renderer.stop(); }
+ };
+ }
+
+ window.VideoService = {
+ attachStream
+ };
+})();
\ No newline at end of file
diff --git a/appVideoServer/server.js b/appVideoServer/server.js
new file mode 100644
index 0000000..d799f5d
--- /dev/null
+++ b/appVideoServer/server.js
@@ -0,0 +1,283 @@
+// server.js
+'use strict';
+
+const fs = require('fs');
+const path = require('path');
+const https = require('https');
+const express = require('express');
+const helmet = require('helmet');
+const compression = require('compression');
+const WebSocket = require('ws');
+
+const { FFmpegStreamer } = require('./programs/videoServer');
+const { pickDevices } = require('./programs/input');
+const driverWS = require("./programs/driver");
+const screenShot = require("./programs/screenShot")
+
+const {logHttpRequest, logTcpConnection, logHttpUpgrade, logWssConnected,
+ logWssClosed, connected, connectionLost} = require('./programs/log');
+
+
+
+const PORT = Number(process.env.PORT || 8443);
+const HOST = process.env.HOST || '0.0.0.0';
+
+// --- TLS ---
+const TLS_DIR = path.resolve(__dirname, 'https');
+const serverOptions = {
+ key: fs.readFileSync(path.join(TLS_DIR, 'server.key')),
+ cert: fs.readFileSync(path.join(TLS_DIR, 'server.crt')),
+ ...(fs.existsSync(path.join(TLS_DIR, 'dhparam.pem'))
+ ? { dhparam: fs.readFileSync(path.join(TLS_DIR, 'dhparam.pem')) }
+ : {}),
+ requestCert: false,
+ rejectUnauthorized: false, // dev-friendly for self-signed
+};
+
+// --- Express + CSP ---
+const app = express();
+app.disable('x-powered-by');
+app.use(compression());
+app.use(
+ helmet({
+ contentSecurityPolicy: {
+ useDefaults: true,
+ directives: {
+ "default-src": ["'self'"],
+ "script-src": ["'self'"], // no inline JS
+ "style-src": ["'self'", "'unsafe-inline'"],
+ "img-src": ["'self'", "data:"],
+ "connect-src": ["'self'"], // same-origin WSS
+ "object-src": ["'none'"],
+ "base-uri": ["'self'"],
+ "frame-ancestors": ["'self'"]
+ }
+ },
+ })
+);
+app.use(express.static(path.join(__dirname, 'public'), { etag: true, maxAge: '1h' }));
+app.get('/health', (_req, res) => res.status(200).send('ok'));
+
+// --- HTTPS server ---
+const server = https.createServer(serverOptions, app);
+
+// Track sockets so shutdown is clean
+const activeHttpSockets = new Set();
+server.on('connection', (socket) => {
+ activeHttpSockets.add(socket);
+ socket.on('close', () => activeHttpSockets.delete(socket));
+});
+
+// --- WebSocket server ---
+const wss = new WebSocket.Server({ noServer: true, perMessageDeflate: false });
+
+// Heartbeat
+function installHeartbeat(ws) {
+ ws.isAlive = true;
+ ws.on('pong', () => { ws.isAlive = true; });
+}
+const pingInterval = setInterval(() => {
+ wss.clients.forEach((ws) => {
+ if (!ws.isAlive) return ws.terminate();
+ ws.isAlive = false;
+ try { ws.ping(); } catch {}
+ });
+}, 30000);
+
+// Upgrade routing
+server.on('upgrade', (request, socket, head) => {
+ try { socket.setNoDelay(true); } catch {}
+ const { url } = request;
+ if (!url || !url.startsWith('/ws/')) return socket.destroy();
+
+
+ if (url === '/ws/robot') {
+ console.log('Robot requested');
+ wssInput.handleUpgrade(request, socket, head, (ws) => {
+ ws.upgradePath = url;
+ wssInput.emit('connection', ws, request);
+ });
+ return;
+ }
+
+ wss.handleUpgrade(request, socket, head, (ws) => {
+ ws.upgradePath = url;
+ wss.emit('connection', ws, request);
+ });
+});
+
+// --- Streams ---
+const [DEV0, DEV1] = pickDevices(process.env);
+console.log(`[DEV] Using devices: ${DEV0} (video0), ${DEV1} (video1)`);
+
+// Cam0: MJPEG pass-through if available (lowest latency)
+const cam0 = new FFmpegStreamer(DEV0, {
+ name: 'video0',
+ fps: 30,
+ quality: 8, // 5 wäre besser
+ input: {
+ format: 'mjpeg',
+ fps: 30,
+ //size: '640x480',
+ //size: '1280x720',
+ size: '1280x960',
+ useWallclock: true,
+ threadQueueSize: 64,
+ channel: 0,
+ },
+ tryFormats: ['mjpeg', 'yuyv422', 'rgb24'],
+});
+
+
+
+// Cam1: your working timing on /dev/video2; let driver pick format first
+const cam1 = new FFmpegStreamer(DEV1, {
+ name: 'video1',
+ fps: 30,
+ quality: 8, // 5 wäre besser
+ input: {
+ format: 'mjpeg', // driver decides
+ fps: 30,
+ //size: '640x480',
+ //size: '1280x720',
+ size: '1280x960',
+ useWallclock: true,
+ threadQueueSize: 64,
+ channel: 0,
+ },
+ tryFormats: ['mjpeg', 'yuyv422', 'rgb24'],
+});
+
+cam0.start();
+cam1.start();
+
+
+const wssInput = new WebSocket.Server({ noServer: true });
+
+
+// WS connections
+wss.on('connection', (ws, req) => {
+ logWssConnected(req);
+ installHeartbeat(ws);
+ const pathName = ws.upgradePath || req.url || '';
+ const controlEnabled = pathName === '/ws/video0';
+
+ if (pathName === '/ws/video0') cam0.attach(ws);
+ else if (pathName === '/ws/video1') cam1.attach(ws);
+ else return ws.close(1008, 'Unknown WS path');
+
+ // If the streamer isn't running when a client connects, try to start it.
+ // This makes the system more resilient to transient ffmpeg failures.
+ try {
+ if (pathName === '/ws/video0' && !cam0.running) {
+ console.log('[WS] client connected to /ws/video0 — starting cam0');
+ cam0.start();
+ }
+ if (pathName === '/ws/video1' && !cam1.running) {
+ console.log('[WS] client connected to /ws/video1 — starting cam1');
+ cam1.start();
+ }
+ } catch (err) { console.warn('[WS] failed to start streamer:', err?.message || err); }
+
+ ws.on('message', (data, isBinary) => {
+ if (isBinary || !controlEnabled) return;
+ let msg;
+ try { msg = JSON.parse(data.toString()); }
+ catch { return ws.send(JSON.stringify({ type: 'error', error: 'Invalid JSON' })); }
+ handleControlMessage(ws, msg);
+ });
+
+ ws.send(JSON.stringify({
+ type: 'hello',
+ path: pathName,
+ control: controlEnabled,
+ camera: pathName.endsWith('video0') ? 'video0' : 'video1',
+ }));
+
+ ws.on('close', (code, reason) => { logWssClosed(req, code, reason); });
+
+});
+
+wss.on("upgrade", (req, socket, head) => {
+ if (req.url === "/ws/robot") {
+ console.log("Robot requested");
+ wssInput.handleUpgrade(req, socket, head, (ws) => { wssInput.emit("connection", ws, req); });
+ }
+});
+
+
+const targetServer = process.env.TARGET_SERVER || 'wss://localhost:2095';
+
+process.env.NODE_TLS_REJECT_UNAUTHORIZED = "0";
+driverWS.setupCommandForwarding(wssInput, targetServer);
+
+
+// Control channel (video0 only)
+function handleControlMessage(ws, msg) {
+ if (msg?.type !== 'control') {
+ ws.send(JSON.stringify({ type: 'error', error: 'Unsupported message type' }));
+ return;
+ }
+ try {
+ switch (msg.action) {
+ case 'snapshot': {
+
+ const outDir = path.join(__dirname, 'public', 'snapshots');
+ screenShot.snapshot(outDir, cam0, cam1, ws);
+ break;
+ }
+ case 'setParams': {
+ const p = msg.params || {};
+ cam0.restart({
+ ...(Number(p.width) ? { width: Number(p.width) } : { width: undefined }),
+ ...(Number(p.height) ? { height: Number(p.height) } : { height: undefined }),
+ ...(Number(p.fps) ? { fps: Number(p.fps) } : {}),
+ ...(Number(p.quality) ? { quality: Number(p.quality) } : {}),
+ ...(p.input ? { input: { ...cam0.opts.input, ...p.input } } : {}),
+ });
+ ws.send(JSON.stringify({ type: 'ack', action: 'setParams', params: { ...cam0.opts } }));
+ break;
+ }
+ case 'start': cam0.start(); ws.send(JSON.stringify({ type: 'ack', action: 'start' })); break;
+ case 'stop': cam0.stop(); ws.send(JSON.stringify({ type: 'ack', action: 'stop' })); break;
+ default:
+ ws.send(JSON.stringify({ type: 'error', error: `Unknown action: ${msg.action}` }));
+ }
+ } catch (err) {
+ ws.send(JSON.stringify({ type: 'error', error: err.message }));
+ }
+}
+
+// Start
+server.listen(PORT, HOST, () => {
+ console.log(`HTTPS server listening on https://${HOST}:${PORT}`);
+ console.log(`Open https://localhost:${PORT} (accept the self-signed certificate in dev)`);
+});
+
+
+
+// Graceful shutdown
+let shuttingDown = false;
+async function shutdown(code = 0) {
+ if (shuttingDown) return;
+ shuttingDown = true;
+ console.log('\nShutting down…');
+
+ try { clearInterval(pingInterval); } catch {}
+
+ try { cam0.stop(); } catch {}
+ try { cam1.stop(); } catch {}
+
+ try { wss.clients.forEach(ws => { try { ws.terminate(); } catch {} }); } catch {}
+ try { await new Promise(res => wss.close(() => res())); } catch {}
+
+ try { for (const s of activeHttpSockets) { try { s.destroy(); } catch {} } } catch {}
+ try { await new Promise(res => server.close(() => res())); } catch {}
+
+ setTimeout(() => { console.warn('Force exiting…'); process.exit(code); }, 1500).unref();
+ process.exit(code);
+}
+process.once('SIGINT', () => shutdown(0));
+process.once('SIGTERM', () => shutdown(0));
+process.once('uncaughtException', (e) => { console.error(e); shutdown(1); });
+process.once('unhandledRejection', (r) => { console.error(r); shutdown(1); });
\ No newline at end of file