ff7cb2c8f3
- Implemented test script for camera streaming functionality, covering API endpoints and concurrent recording. - Created time verification script to check system time synchronization against multiple APIs. - Developed timezone utility tests to validate timezone functions and logging. - Added integration tests for system components, including configuration, camera discovery, and API endpoints. - Enhanced MQTT logging and API endpoint tests for machine and MQTT status. - Established auto-recording tests to simulate state changes and verify automatic recording behavior. - Created simple tests for auto-recording configuration and API model validation.
386 lines
14 KiB
Plaintext
386 lines
14 KiB
Plaintext
{
|
|
"cells": [
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"# Advanced GigE Camera Configuration\n",
|
|
"\n",
|
|
"This notebook provides advanced testing and configuration for GigE cameras.\n",
|
|
"\n",
|
|
"## Features:\n",
|
|
"- Network interface detection\n",
|
|
"- GigE camera discovery\n",
|
|
"- Camera parameter configuration\n",
|
|
"- Performance testing\n",
|
|
"- Dual camera synchronization testing"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"import cv2\n",
|
|
"import numpy as np\n",
|
|
"import matplotlib.pyplot as plt\n",
|
|
"import subprocess\n",
|
|
"import socket\n",
|
|
"import threading\n",
|
|
"import time\n",
|
|
"from datetime import datetime\n",
|
|
"import os\n",
|
|
"from pathlib import Path\n",
|
|
"import json\n",
|
|
"\n",
|
|
"print(\"✅ Imports successful!\")"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"## Network Interface Detection"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"def get_network_interfaces():\n",
|
|
" \"\"\"Get network interface information\"\"\"\n",
|
|
" try:\n",
|
|
" result = subprocess.run(['ip', 'addr', 'show'], capture_output=True, text=True)\n",
|
|
" print(\"🌐 Network Interfaces:\")\n",
|
|
" print(result.stdout)\n",
|
|
" \n",
|
|
" # Also check for GigE specific interfaces\n",
|
|
" result2 = subprocess.run(['ifconfig'], capture_output=True, text=True)\n",
|
|
" if result2.returncode == 0:\n",
|
|
" print(\"\\n📡 Interface Configuration:\")\n",
|
|
" print(result2.stdout)\n",
|
|
" except Exception as e:\n",
|
|
" print(f\"❌ Error getting network info: {e}\")\n",
|
|
"\n",
|
|
"get_network_interfaces()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"## GigE Camera Discovery"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"def discover_gige_cameras():\n",
|
|
" \"\"\"Attempt to discover GigE cameras on the network\"\"\"\n",
|
|
" print(\"🔍 Discovering GigE cameras...\")\n",
|
|
" \n",
|
|
" # Try different methods to find GigE cameras\n",
|
|
" methods = [\n",
|
|
" \"OpenCV with different backends\",\n",
|
|
" \"Network scanning\",\n",
|
|
" \"GStreamer pipeline testing\"\n",
|
|
" ]\n",
|
|
" \n",
|
|
" print(\"\\n1. Testing OpenCV backends:\")\n",
|
|
" backends = [\n",
|
|
" (cv2.CAP_GSTREAMER, \"GStreamer\"),\n",
|
|
" (cv2.CAP_V4L2, \"V4L2\"),\n",
|
|
" (cv2.CAP_FFMPEG, \"FFmpeg\"),\n",
|
|
" (cv2.CAP_ANY, \"Default\")\n",
|
|
" ]\n",
|
|
" \n",
|
|
" for backend_id, backend_name in backends:\n",
|
|
" print(f\" Testing {backend_name}...\")\n",
|
|
" for cam_id in range(5):\n",
|
|
" try:\n",
|
|
" cap = cv2.VideoCapture(cam_id, backend_id)\n",
|
|
" if cap.isOpened():\n",
|
|
" ret, frame = cap.read()\n",
|
|
" if ret:\n",
|
|
" print(f\" ✅ Camera {cam_id} accessible via {backend_name}\")\n",
|
|
" print(f\" Resolution: {frame.shape[1]}x{frame.shape[0]}\")\n",
|
|
" cap.release()\n",
|
|
" except Exception as e:\n",
|
|
" pass\n",
|
|
" \n",
|
|
" print(\"\\n2. Testing GStreamer pipelines:\")\n",
|
|
" # Common GigE camera GStreamer pipelines\n",
|
|
" gstreamer_pipelines = [\n",
|
|
" \"v4l2src device=/dev/video0 ! videoconvert ! appsink\",\n",
|
|
" \"v4l2src device=/dev/video1 ! videoconvert ! appsink\",\n",
|
|
" \"tcambin ! videoconvert ! appsink\", # For TIS cameras\n",
|
|
" \"aravis ! videoconvert ! appsink\", # For Aravis-supported cameras\n",
|
|
" ]\n",
|
|
" \n",
|
|
" for pipeline in gstreamer_pipelines:\n",
|
|
" try:\n",
|
|
" print(f\" Testing: {pipeline}\")\n",
|
|
" cap = cv2.VideoCapture(pipeline, cv2.CAP_GSTREAMER)\n",
|
|
" if cap.isOpened():\n",
|
|
" ret, frame = cap.read()\n",
|
|
" if ret:\n",
|
|
" print(f\" ✅ Pipeline works! Frame shape: {frame.shape}\")\n",
|
|
" else:\n",
|
|
" print(f\" ⚠️ Pipeline opened but no frames\")\n",
|
|
" else:\n",
|
|
" print(f\" ❌ Pipeline failed\")\n",
|
|
" cap.release()\n",
|
|
" except Exception as e:\n",
|
|
" print(f\" ❌ Error: {e}\")\n",
|
|
"\n",
|
|
"discover_gige_cameras()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"## Camera Parameter Configuration"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"def configure_camera_parameters(camera_id, backend=cv2.CAP_ANY):\n",
|
|
" \"\"\"Configure and test camera parameters\"\"\"\n",
|
|
" print(f\"⚙️ Configuring camera {camera_id}...\")\n",
|
|
" \n",
|
|
" cap = cv2.VideoCapture(camera_id, backend)\n",
|
|
" if not cap.isOpened():\n",
|
|
" print(f\"❌ Cannot open camera {camera_id}\")\n",
|
|
" return None\n",
|
|
" \n",
|
|
" # Get current parameters\n",
|
|
" current_params = {\n",
|
|
" 'width': cap.get(cv2.CAP_PROP_FRAME_WIDTH),\n",
|
|
" 'height': cap.get(cv2.CAP_PROP_FRAME_HEIGHT),\n",
|
|
" 'fps': cap.get(cv2.CAP_PROP_FPS),\n",
|
|
" 'brightness': cap.get(cv2.CAP_PROP_BRIGHTNESS),\n",
|
|
" 'contrast': cap.get(cv2.CAP_PROP_CONTRAST),\n",
|
|
" 'saturation': cap.get(cv2.CAP_PROP_SATURATION),\n",
|
|
" 'hue': cap.get(cv2.CAP_PROP_HUE),\n",
|
|
" 'gain': cap.get(cv2.CAP_PROP_GAIN),\n",
|
|
" 'exposure': cap.get(cv2.CAP_PROP_EXPOSURE),\n",
|
|
" 'auto_exposure': cap.get(cv2.CAP_PROP_AUTO_EXPOSURE),\n",
|
|
" 'white_balance': cap.get(cv2.CAP_PROP_WHITE_BALANCE_BLUE_U),\n",
|
|
" }\n",
|
|
" \n",
|
|
" print(\"📊 Current Camera Parameters:\")\n",
|
|
" for param, value in current_params.items():\n",
|
|
" print(f\" {param}: {value}\")\n",
|
|
" \n",
|
|
" # Test setting some parameters\n",
|
|
" print(\"\\n🔧 Testing parameter changes:\")\n",
|
|
" \n",
|
|
" # Try to set resolution (common GigE resolutions)\n",
|
|
" test_resolutions = [(1920, 1080), (1280, 720), (640, 480)]\n",
|
|
" for width, height in test_resolutions:\n",
|
|
" if cap.set(cv2.CAP_PROP_FRAME_WIDTH, width) and cap.set(cv2.CAP_PROP_FRAME_HEIGHT, height):\n",
|
|
" actual_width = cap.get(cv2.CAP_PROP_FRAME_WIDTH)\n",
|
|
" actual_height = cap.get(cv2.CAP_PROP_FRAME_HEIGHT)\n",
|
|
" print(f\" Resolution {width}x{height}: Set to {actual_width}x{actual_height}\")\n",
|
|
" break\n",
|
|
" \n",
|
|
" # Test FPS settings\n",
|
|
" for fps in [30, 60, 120]:\n",
|
|
" if cap.set(cv2.CAP_PROP_FPS, fps):\n",
|
|
" actual_fps = cap.get(cv2.CAP_PROP_FPS)\n",
|
|
" print(f\" FPS {fps}: Set to {actual_fps}\")\n",
|
|
" break\n",
|
|
" \n",
|
|
" # Capture test frame with new settings\n",
|
|
" ret, frame = cap.read()\n",
|
|
" if ret:\n",
|
|
" print(f\"\\n✅ Test frame captured: {frame.shape}\")\n",
|
|
" \n",
|
|
" # Display frame\n",
|
|
" plt.figure(figsize=(10, 6))\n",
|
|
" if len(frame.shape) == 3:\n",
|
|
" plt.imshow(cv2.cvtColor(frame, cv2.COLOR_BGR2RGB))\n",
|
|
" else:\n",
|
|
" plt.imshow(frame, cmap='gray')\n",
|
|
" plt.title(f\"Camera {camera_id} - Configured\")\n",
|
|
" plt.axis('off')\n",
|
|
" plt.show()\n",
|
|
" \n",
|
|
" # Save configuration and test image\n",
|
|
" timestamp = datetime.now().strftime(\"%Y%m%d_%H%M%S\")\n",
|
|
" \n",
|
|
" # Save image\n",
|
|
" img_path = f\"/storage/camera{camera_id}/configured_test_{timestamp}.jpg\"\n",
|
|
" cv2.imwrite(img_path, frame)\n",
|
|
" print(f\"💾 Test image saved: {img_path}\")\n",
|
|
" \n",
|
|
" # Save configuration\n",
|
|
" config_path = f\"/storage/camera{camera_id}/config_{timestamp}.json\"\n",
|
|
" with open(config_path, 'w') as f:\n",
|
|
" json.dump(current_params, f, indent=2)\n",
|
|
" print(f\"💾 Configuration saved: {config_path}\")\n",
|
|
" \n",
|
|
" cap.release()\n",
|
|
" return current_params\n",
|
|
"\n",
|
|
"# Test configuration (change camera_id as needed)\n",
|
|
"camera_to_configure = 0\n",
|
|
"config = configure_camera_parameters(camera_to_configure)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"## Dual Camera Testing"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"def test_dual_cameras(camera1_id=0, camera2_id=1, duration=5):\n",
|
|
" \"\"\"Test simultaneous capture from two cameras\"\"\"\n",
|
|
" print(f\"📷📷 Testing dual camera capture (cameras {camera1_id} and {camera2_id})...\")\n",
|
|
" \n",
|
|
" # Open both cameras\n",
|
|
" cap1 = cv2.VideoCapture(camera1_id)\n",
|
|
" cap2 = cv2.VideoCapture(camera2_id)\n",
|
|
" \n",
|
|
" if not cap1.isOpened():\n",
|
|
" print(f\"❌ Cannot open camera {camera1_id}\")\n",
|
|
" return\n",
|
|
" \n",
|
|
" if not cap2.isOpened():\n",
|
|
" print(f\"❌ Cannot open camera {camera2_id}\")\n",
|
|
" cap1.release()\n",
|
|
" return\n",
|
|
" \n",
|
|
" print(\"✅ Both cameras opened successfully\")\n",
|
|
" \n",
|
|
" # Capture test frames\n",
|
|
" ret1, frame1 = cap1.read()\n",
|
|
" ret2, frame2 = cap2.read()\n",
|
|
" \n",
|
|
" if ret1 and ret2:\n",
|
|
" print(f\"📊 Camera {camera1_id}: {frame1.shape}\")\n",
|
|
" print(f\"📊 Camera {camera2_id}: {frame2.shape}\")\n",
|
|
" \n",
|
|
" # Display both frames side by side\n",
|
|
" fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(15, 6))\n",
|
|
" \n",
|
|
" if len(frame1.shape) == 3:\n",
|
|
" ax1.imshow(cv2.cvtColor(frame1, cv2.COLOR_BGR2RGB))\n",
|
|
" else:\n",
|
|
" ax1.imshow(frame1, cmap='gray')\n",
|
|
" ax1.set_title(f\"Camera {camera1_id}\")\n",
|
|
" ax1.axis('off')\n",
|
|
" \n",
|
|
" if len(frame2.shape) == 3:\n",
|
|
" ax2.imshow(cv2.cvtColor(frame2, cv2.COLOR_BGR2RGB))\n",
|
|
" else:\n",
|
|
" ax2.imshow(frame2, cmap='gray')\n",
|
|
" ax2.set_title(f\"Camera {camera2_id}\")\n",
|
|
" ax2.axis('off')\n",
|
|
" \n",
|
|
" plt.tight_layout()\n",
|
|
" plt.show()\n",
|
|
" \n",
|
|
" # Save test images\n",
|
|
" timestamp = datetime.now().strftime(\"%Y%m%d_%H%M%S\")\n",
|
|
" cv2.imwrite(f\"/storage/camera1/dual_test_{timestamp}.jpg\", frame1)\n",
|
|
" cv2.imwrite(f\"/storage/camera2/dual_test_{timestamp}.jpg\", frame2)\n",
|
|
" print(f\"💾 Dual camera test images saved with timestamp {timestamp}\")\n",
|
|
" \n",
|
|
" else:\n",
|
|
" print(\"❌ Failed to capture from one or both cameras\")\n",
|
|
" \n",
|
|
" # Test synchronized recording\n",
|
|
" print(f\"\\n🎥 Testing synchronized recording for {duration} seconds...\")\n",
|
|
" \n",
|
|
" # Setup video writers\n",
|
|
" timestamp = datetime.now().strftime(\"%Y%m%d_%H%M%S\")\n",
|
|
" \n",
|
|
" fourcc = cv2.VideoWriter_fourcc(*'mp4v')\n",
|
|
" fps = 30\n",
|
|
" \n",
|
|
" if ret1:\n",
|
|
" h1, w1 = frame1.shape[:2]\n",
|
|
" out1 = cv2.VideoWriter(f\"/storage/camera1/sync_test_{timestamp}.mp4\", fourcc, fps, (w1, h1))\n",
|
|
" \n",
|
|
" if ret2:\n",
|
|
" h2, w2 = frame2.shape[:2]\n",
|
|
" out2 = cv2.VideoWriter(f\"/storage/camera2/sync_test_{timestamp}.mp4\", fourcc, fps, (w2, h2))\n",
|
|
" \n",
|
|
" # Record synchronized video\n",
|
|
" start_time = time.time()\n",
|
|
" frame_count = 0\n",
|
|
" \n",
|
|
" while time.time() - start_time < duration:\n",
|
|
" ret1, frame1 = cap1.read()\n",
|
|
" ret2, frame2 = cap2.read()\n",
|
|
" \n",
|
|
" if ret1 and ret2:\n",
|
|
" out1.write(frame1)\n",
|
|
" out2.write(frame2)\n",
|
|
" frame_count += 1\n",
|
|
" else:\n",
|
|
" print(f\"⚠️ Frame drop at frame {frame_count}\")\n",
|
|
" \n",
|
|
" # Cleanup\n",
|
|
" cap1.release()\n",
|
|
" cap2.release()\n",
|
|
" if 'out1' in locals():\n",
|
|
" out1.release()\n",
|
|
" if 'out2' in locals():\n",
|
|
" out2.release()\n",
|
|
" \n",
|
|
" elapsed = time.time() - start_time\n",
|
|
" actual_fps = frame_count / elapsed\n",
|
|
" \n",
|
|
" print(f\"✅ Synchronized recording complete\")\n",
|
|
" print(f\"📊 Recorded {frame_count} frames in {elapsed:.2f}s\")\n",
|
|
" print(f\"📊 Actual FPS: {actual_fps:.2f}\")\n",
|
|
" print(f\"💾 Videos saved with timestamp {timestamp}\")\n",
|
|
"\n",
|
|
"# Test dual cameras (adjust camera IDs as needed)\n",
|
|
"test_dual_cameras(0, 1, duration=3)"
|
|
]
|
|
}
|
|
],
|
|
"metadata": {
|
|
"kernelspec": {
|
|
"display_name": "usda-vision-cameras",
|
|
"language": "python",
|
|
"name": "usda-vision-cameras"
|
|
},
|
|
"language_info": {
|
|
"codemirror_mode": {
|
|
"name": "ipython",
|
|
"version": 3
|
|
},
|
|
"file_extension": ".py",
|
|
"mimetype": "text/x-python",
|
|
"name": "python",
|
|
"nbconvert_exporter": "python",
|
|
"pygments_lexer": "ipython3",
|
|
"version": "3.11.0"
|
|
}
|
|
},
|
|
"nbformat": 4,
|
|
"nbformat_minor": 4
|
|
}
|