init commit

This commit is contained in:
Alireza Vaezi
2025-07-25 12:07:30 -04:00
parent df42a0935d
commit 172f46d44d
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# Vite logs files
vite.config.js.timestamp-*
vite.config.ts.timestamp-*
/videos/*

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{
"python.analysis.extraPaths": [
"./python demo"
]
}

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# GigE Camera Image Capture
This project provides simple Python scripts to connect to a GigE camera and capture images using the provided SDK.
## Files Overview
### Demo Files (provided with camera)
- `python demo/mvsdk.py` - Main SDK wrapper library
- `python demo/grab.py` - Basic image capture example
- `python demo/cv_grab.py` - OpenCV-based continuous capture
- `python demo/cv_grab_callback.py` - Callback-based capture
- `python demo/readme.txt` - Original demo documentation
### Custom Scripts
- `camera_capture.py` - Standalone script to capture 10 images with 200ms intervals
- `test.ipynb` - Jupyter notebook with the same functionality
- `images/` - Directory where captured images are saved
## Features
- **Automatic camera detection** - Finds and connects to available GigE cameras
- **Configurable capture** - Currently set to capture 10 images with 200ms intervals
- **Both mono and color support** - Automatically detects camera type
- **Timestamped filenames** - Images saved with date/time stamps
- **Error handling** - Robust error handling for camera operations
- **Cross-platform** - Works on Windows and Linux (with appropriate image flipping)
## Requirements
- Python 3.x
- OpenCV (`cv2`)
- NumPy
- Matplotlib (for Jupyter notebook display)
- GigE camera SDK (MVSDK) - included in `python demo/` directory
## Usage
### Option 1: Standalone Script
Run the standalone Python script:
```bash
python camera_capture.py
```
This will:
1. Initialize the camera SDK
2. Detect available cameras
3. Connect to the first camera found
4. Configure camera settings (manual exposure, continuous mode)
5. Capture 10 images with 200ms intervals
6. Save images to the `images/` directory
7. Clean up and close the camera
### Option 2: Jupyter Notebook
Open and run the `test.ipynb` notebook:
```bash
jupyter notebook test.ipynb
```
The notebook provides the same functionality but with:
- Step-by-step execution
- Detailed explanations
- Visual display of the last captured image
- Better error reporting
## Camera Configuration
The scripts are configured with the following default settings:
- **Trigger Mode**: Continuous capture (mode 0)
- **Exposure**: Manual, 30ms
- **Output Format**:
- Monochrome cameras: MONO8
- Color cameras: BGR8
- **Image Processing**: Automatic ISP processing from RAW to RGB/MONO
## Output
Images are saved in the `images/` directory with the following naming convention:
```
image_XX_YYYYMMDD_HHMMSS_mmm.jpg
```
Where:
- `XX` = Image number (01-10)
- `YYYYMMDD_HHMMSS_mmm` = Timestamp with milliseconds
Example: `image_01_20250722_140530_123.jpg`
## Troubleshooting
### Common Issues
1. **"No camera was found!"**
- Check camera connection (Ethernet cable)
- Verify camera power
- Check network settings (camera and PC should be on same subnet)
- Ensure camera drivers are installed
2. **"CameraInit Failed"**
- Camera might be in use by another application
- Check camera permissions
- Try restarting the camera or PC
3. **"Failed to capture image"**
- Check camera settings
- Verify sufficient lighting
- Check exposure settings
4. **Images appear upside down**
- This is handled automatically on Windows
- Linux users may need to adjust the flip settings
### Network Configuration
For GigE cameras, ensure:
- Camera and PC are on the same network segment
- PC network adapter supports Jumbo frames (recommended)
- Firewall allows camera communication
- Sufficient network bandwidth
## Customization
You can modify the scripts to:
- **Change capture count**: Modify the range in the capture loop
- **Adjust timing**: Change the `time.sleep(0.2)` value
- **Modify exposure**: Change the exposure time parameter
- **Change output format**: Modify file format and quality settings
- **Add image processing**: Insert processing steps before saving
## SDK Reference
The camera SDK (`mvsdk.py`) provides extensive functionality:
- Camera enumeration and initialization
- Image capture and processing
- Parameter configuration (exposure, gain, etc.)
- Trigger modes and timing
- Image format conversion
- Error handling
Refer to the original SDK documentation for advanced features.

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# Camera Video Recorder
A Python script for recording videos from GigE cameras using the provided SDK with custom exposure and gain settings.
## Features
- **List all available cameras** - Automatically detects and displays all connected cameras
- **Custom camera settings** - Set exposure time to 1ms and gain to 3.5x (or custom values)
- **Video recording** - Record videos in AVI format with timestamp filenames
- **Live preview** - Test camera functionality with live preview mode
- **Interactive menu** - User-friendly menu system for all operations
- **Automatic cleanup** - Proper resource management and cleanup
## Requirements
- Python 3.x
- OpenCV (`cv2`)
- NumPy
- Camera SDK (mvsdk) - included in `python demo` directory
- GigE camera connected to the system
## Installation
1. Ensure your GigE camera is connected and properly configured
2. Make sure the `python demo` directory with `mvsdk.py` is present
3. Install required Python packages:
```bash
pip install opencv-python numpy
```
## Usage
### Basic Usage
Run the script:
```bash
python camera_video_recorder.py
```
The script will:
1. Display a welcome message and feature overview
2. List all available cameras
3. Let you select a camera (if multiple are available)
4. Allow you to set custom exposure and gain values
5. Present an interactive menu with options
### Menu Options
1. **Start Recording** - Begin video recording with timestamp filename
2. **List Camera Info** - Display detailed camera information
3. **Test Camera (Live Preview)** - View live camera feed without recording
4. **Exit** - Clean up and exit the program
### Default Settings
- **Exposure Time**: 1.0ms (1000 microseconds)
- **Gain**: 3.5x
- **Video Format**: AVI with XVID codec
- **Frame Rate**: 30 FPS
- **Output Directory**: `videos/` (created automatically)
### Recording Controls
- **Start Recording**: Select option 1 from the menu
- **Stop Recording**: Press 'q' in the preview window
- **Video Files**: Saved as `videos/camera_recording_YYYYMMDD_HHMMSS.avi`
## File Structure
```
camera_video_recorder.py # Main script
python demo/
mvsdk.py # Camera SDK wrapper
(other demo files)
videos/ # Output directory (created automatically)
camera_recording_*.avi # Recorded video files
```
## Script Features
### CameraVideoRecorder Class
- `list_cameras()` - Enumerate and display available cameras
- `initialize_camera()` - Set up camera with custom exposure and gain
- `start_recording()` - Initialize video writer and begin recording
- `stop_recording()` - Stop recording and save video file
- `record_loop()` - Main recording loop with live preview
- `cleanup()` - Proper resource cleanup
### Key Functions
- **Camera Detection**: Automatically finds all connected GigE cameras
- **Settings Validation**: Checks and clamps exposure/gain values to camera limits
- **Frame Processing**: Handles both monochrome and color cameras
- **Windows Compatibility**: Handles frame flipping for Windows systems
- **Error Handling**: Comprehensive error handling and user feedback
## Example Output
```
Camera Video Recorder
====================
This script allows you to:
- List all available cameras
- Record videos with custom exposure (1ms) and gain (3.5x) settings
- Save videos with timestamps
- Stop recording anytime with 'q' key
Found 1 camera(s):
0: GigE Camera Model (GigE) - SN: 12345678
Using camera: GigE Camera Model
Camera Settings:
Enter exposure time in ms (default 1.0): 1.0
Enter gain value (default 3.5): 3.5
Initializing camera with:
- Exposure: 1.0ms
- Gain: 3.5x
Camera type: Color
Set exposure time: 1000.0μs
Set analog gain: 3.50x (range: 1.00 - 16.00)
Camera started successfully
==================================================
Camera Video Recorder Menu
==================================================
1. Start Recording
2. List Camera Info
3. Test Camera (Live Preview)
4. Exit
Select option (1-4): 1
Started recording to: videos/camera_recording_20241223_143022.avi
Frame size: (1920, 1080), FPS: 30.0
Press 'q' to stop recording...
Recording... Press 'q' in the preview window to stop
Recording stopped!
Saved: videos/camera_recording_20241223_143022.avi
Frames recorded: 450
Duration: 15.2 seconds
Average FPS: 29.6
```
## Troubleshooting
### Common Issues
1. **"No cameras found!"**
- Check camera connection
- Verify camera power
- Ensure network configuration for GigE cameras
2. **"SDK initialization failed"**
- Verify `python demo/mvsdk.py` exists
- Check camera drivers are installed
3. **"Camera initialization failed"**
- Camera may be in use by another application
- Try disconnecting and reconnecting the camera
4. **Recording issues**
- Ensure sufficient disk space
- Check write permissions in the output directory
### Performance Tips
- Close other applications using the camera
- Ensure adequate system resources (CPU, RAM)
- Use SSD storage for better write performance
- Adjust frame rate if experiencing dropped frames
## Customization
You can modify the script to:
- Change video codec (currently XVID)
- Adjust target frame rate
- Modify output filename format
- Add additional camera settings
- Change preview window size
## Notes
- Videos are saved in the `videos/` directory with timestamp filenames
- The script handles both monochrome and color cameras automatically
- Frame flipping is handled automatically for Windows systems
- All resources are properly cleaned up on exit

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# coding=utf-8
"""
Simple GigE Camera Capture Script
Captures 10 images every 200 milliseconds and saves them to the images directory.
"""
import os
import time
import numpy as np
import cv2
import platform
from datetime import datetime
import sys
sys.path.append("./python demo")
import mvsdk
def is_camera_ready_for_capture():
"""
Check if camera is ready for capture.
Returns: (ready: bool, message: str, camera_info: object or None)
"""
try:
# Initialize SDK
mvsdk.CameraSdkInit(1)
# Enumerate cameras
DevList = mvsdk.CameraEnumerateDevice()
if len(DevList) < 1:
return False, "No cameras found", None
DevInfo = DevList[0]
# Check if already opened
try:
if mvsdk.CameraIsOpened(DevInfo):
return False, f"Camera '{DevInfo.GetFriendlyName()}' is already opened by another process", DevInfo
except:
pass # Some cameras might not support this check
# Try to initialize
try:
hCamera = mvsdk.CameraInit(DevInfo, -1, -1)
# Quick capture test
try:
# Basic setup
mvsdk.CameraSetTriggerMode(hCamera, 0)
mvsdk.CameraPlay(hCamera)
# Try to get one frame with short timeout
pRawData, FrameHead = mvsdk.CameraGetImageBuffer(hCamera, 500) # 0.5 second timeout
mvsdk.CameraReleaseImageBuffer(hCamera, pRawData)
# Success - close and return
mvsdk.CameraUnInit(hCamera)
return True, f"Camera '{DevInfo.GetFriendlyName()}' is ready for capture", DevInfo
except mvsdk.CameraException as e:
mvsdk.CameraUnInit(hCamera)
if e.error_code == mvsdk.CAMERA_STATUS_TIME_OUT:
return False, "Camera timeout - may be busy or not streaming properly", DevInfo
else:
return False, f"Camera capture test failed: {e.message}", DevInfo
except mvsdk.CameraException as e:
if e.error_code == mvsdk.CAMERA_STATUS_DEVICE_IS_OPENED:
return False, f"Camera '{DevInfo.GetFriendlyName()}' is already in use", DevInfo
elif e.error_code == mvsdk.CAMERA_STATUS_ACCESS_DENY:
return False, f"Access denied to camera '{DevInfo.GetFriendlyName()}'", DevInfo
else:
return False, f"Camera initialization failed: {e.message}", DevInfo
except Exception as e:
return False, f"Camera check failed: {str(e)}", None
def get_camera_ranges(hCamera):
"""
Get the available ranges for camera settings
"""
try:
# Get exposure time range
exp_min, exp_max, exp_step = mvsdk.CameraGetExposureTimeRange(hCamera)
print(f"Exposure time range: {exp_min:.1f} - {exp_max:.1f} μs (step: {exp_step:.1f})")
# Get analog gain range
gain_min, gain_max, gain_step = mvsdk.CameraGetAnalogGainXRange(hCamera)
print(f"Analog gain range: {gain_min:.2f} - {gain_max:.2f}x (step: {gain_step:.3f})")
return (exp_min, exp_max, exp_step), (gain_min, gain_max, gain_step)
except Exception as e:
print(f"Could not get camera ranges: {e}")
return None, None
def capture_images(exposure_time_us=2000, analog_gain=1.0):
"""
Main function to capture images from GigE camera
Parameters:
- exposure_time_us: Exposure time in microseconds (default: 2000 = 2ms)
- analog_gain: Analog gain multiplier (default: 1.0)
"""
# Check if camera is ready for capture
print("Checking camera availability...")
ready, message, camera_info = is_camera_ready_for_capture()
if not ready:
print(f"❌ Camera not ready: {message}")
print("\nPossible solutions:")
print("- Close any other camera applications (preview software, etc.)")
print("- Check camera connection and power")
print("- Wait a moment and try again")
return False
print(f"{message}")
# Initialize SDK (already done in status check, but ensure it's ready)
try:
mvsdk.CameraSdkInit(1) # Initialize SDK with English language
except Exception as e:
print(f"SDK initialization failed: {e}")
return False
# Enumerate cameras
DevList = mvsdk.CameraEnumerateDevice()
nDev = len(DevList)
if nDev < 1:
print("No camera was found!")
return False
print(f"Found {nDev} camera(s):")
for i, DevInfo in enumerate(DevList):
print(f"{i}: {DevInfo.GetFriendlyName()} {DevInfo.GetPortType()}")
# Select camera (use first one if only one available)
camera_index = 0 if nDev == 1 else int(input("Select camera index: "))
DevInfo = DevList[camera_index]
print(f"Selected camera: {DevInfo.GetFriendlyName()}")
# Initialize camera
hCamera = 0
try:
hCamera = mvsdk.CameraInit(DevInfo, -1, -1)
print("Camera initialized successfully")
except mvsdk.CameraException as e:
print(f"CameraInit Failed({e.error_code}): {e.message}")
return False
try:
# Get camera capabilities
cap = mvsdk.CameraGetCapability(hCamera)
# Check if it's a mono or color camera
monoCamera = cap.sIspCapacity.bMonoSensor != 0
print(f"Camera type: {'Monochrome' if monoCamera else 'Color'}")
# Get camera ranges
exp_range, gain_range = get_camera_ranges(hCamera)
# Set output format
if monoCamera:
mvsdk.CameraSetIspOutFormat(hCamera, mvsdk.CAMERA_MEDIA_TYPE_MONO8)
else:
mvsdk.CameraSetIspOutFormat(hCamera, mvsdk.CAMERA_MEDIA_TYPE_BGR8)
# Set camera to continuous capture mode
mvsdk.CameraSetTriggerMode(hCamera, 0)
# Set manual exposure with improved control
mvsdk.CameraSetAeState(hCamera, 0) # Disable auto exposure
# Clamp exposure time to valid range
if exp_range:
exp_min, exp_max, exp_step = exp_range
exposure_time_us = max(exp_min, min(exp_max, exposure_time_us))
mvsdk.CameraSetExposureTime(hCamera, exposure_time_us)
print(f"Set exposure time: {exposure_time_us/1000:.1f}ms")
# Set analog gain
if gain_range:
gain_min, gain_max, gain_step = gain_range
analog_gain = max(gain_min, min(gain_max, analog_gain))
try:
mvsdk.CameraSetAnalogGainX(hCamera, analog_gain)
print(f"Set analog gain: {analog_gain:.2f}x")
except Exception as e:
print(f"Could not set analog gain: {e}")
# Start camera
mvsdk.CameraPlay(hCamera)
print("Camera started")
# Calculate frame buffer size
FrameBufferSize = cap.sResolutionRange.iWidthMax * cap.sResolutionRange.iHeightMax * (1 if monoCamera else 3)
# Allocate frame buffer
pFrameBuffer = mvsdk.CameraAlignMalloc(FrameBufferSize, 16)
# Create images directory if it doesn't exist
if not os.path.exists("images"):
os.makedirs("images")
print("Starting image capture...")
print("Capturing 10 images with 200ms intervals...")
# Capture 10 images
for i in range(10):
try:
# Get image from camera (timeout: 2000ms)
pRawData, FrameHead = mvsdk.CameraGetImageBuffer(hCamera, 2000)
# Process the raw image data
mvsdk.CameraImageProcess(hCamera, pRawData, pFrameBuffer, FrameHead)
# Release the raw data buffer
mvsdk.CameraReleaseImageBuffer(hCamera, pRawData)
# Handle Windows image flip (images are upside down on Windows)
if platform.system() == "Windows":
mvsdk.CameraFlipFrameBuffer(pFrameBuffer, FrameHead, 1)
# Convert to numpy array for OpenCV
frame_data = (mvsdk.c_ubyte * FrameHead.uBytes).from_address(pFrameBuffer)
frame = np.frombuffer(frame_data, dtype=np.uint8)
# Reshape based on camera type
if FrameHead.uiMediaType == mvsdk.CAMERA_MEDIA_TYPE_MONO8:
frame = frame.reshape((FrameHead.iHeight, FrameHead.iWidth))
else:
frame = frame.reshape((FrameHead.iHeight, FrameHead.iWidth, 3))
# Generate filename with timestamp
timestamp = datetime.now().strftime("%Y%m%d_%H%M%S_%f")[:-3] # milliseconds
filename = f"images/image_{i+1:02d}_{timestamp}.jpg"
# Save image using OpenCV
success = cv2.imwrite(filename, frame)
if success:
print(f"Image {i+1}/10 saved: {filename} ({FrameHead.iWidth}x{FrameHead.iHeight})")
else:
print(f"Failed to save image {i+1}/10")
# Wait 200ms before next capture (except for the last image)
if i < 9:
time.sleep(0.2)
except mvsdk.CameraException as e:
print(f"Failed to capture image {i+1}/10 ({e.error_code}): {e.message}")
continue
print("Image capture completed!")
# Cleanup
mvsdk.CameraAlignFree(pFrameBuffer)
finally:
# Close camera
mvsdk.CameraUnInit(hCamera)
print("Camera closed")
return True
if __name__ == "__main__":
print("GigE Camera Image Capture Script")
print("=" * 40)
print("Note: If images are overexposed, you can adjust the exposure settings:")
print("- Lower exposure_time_us for darker images (e.g., 1000-5000)")
print("- Lower analog_gain for less amplification (e.g., 0.5-2.0)")
print()
# for cracker
# You can adjust these values to fix overexposure:
success = capture_images(exposure_time_us=6000, analog_gain=16.0) # 2ms exposure (much lower than default 30ms) # 1x gain (no amplification)
# for blower
success = capture_images(exposure_time_us=1000, analog_gain=3.5) # 2ms exposure (much lower than default 30ms) # 1x gain (no amplification)
if success:
print("\nCapture completed successfully!")
print("Images saved in the 'images' directory")
else:
print("\nCapture failed!")
input("Press Enter to exit...")

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{
"cells": [
{
"cell_type": "markdown",
"id": "intro",
"metadata": {},
"source": [
"# Camera Status and Availability Testing\n",
"\n",
"This notebook tests various methods to check camera status and availability before attempting to capture images.\n",
"\n",
"## Key Functions to Test:\n",
"- `CameraIsOpened()` - Check if camera is already opened by another process\n",
"- `CameraInit()` - Try to initialize and catch specific error codes\n",
"- `CameraGetImageBuffer()` - Test actual image capture with timeout\n",
"- Error code analysis for different failure scenarios"
]
},
{
"cell_type": "code",
"execution_count": 46,
"id": "imports",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Libraries imported successfully!\n",
"Platform: Windows\n"
]
}
],
"source": [
"# Import required libraries\n",
"import os\n",
"import sys\n",
"import time\n",
"import numpy as np\n",
"import cv2\n",
"import platform\n",
"from datetime import datetime\n",
"\n",
"# Add the python demo directory to path to import mvsdk\n",
"sys.path.append('./python demo')\n",
"import mvsdk\n",
"\n",
"print(\"Libraries imported successfully!\")\n",
"print(f\"Platform: {platform.system()}\")"
]
},
{
"cell_type": "code",
"execution_count": 47,
"id": "error-codes",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Relevant Camera Status Error Codes:\n",
"========================================\n",
"CAMERA_STATUS_SUCCESS: 0\n",
"CAMERA_STATUS_DEVICE_IS_OPENED: -18\n",
"CAMERA_STATUS_DEVICE_IS_CLOSED: -19\n",
"CAMERA_STATUS_ACCESS_DENY: -45\n",
"CAMERA_STATUS_DEVICE_LOST: -38\n",
"CAMERA_STATUS_TIME_OUT: -12\n",
"CAMERA_STATUS_BUSY: -28\n",
"CAMERA_STATUS_NO_DEVICE_FOUND: -16\n"
]
}
],
"source": [
"# Let's examine the relevant error codes from the SDK\n",
"print(\"Relevant Camera Status Error Codes:\")\n",
"print(\"=\" * 40)\n",
"print(f\"CAMERA_STATUS_SUCCESS: {mvsdk.CAMERA_STATUS_SUCCESS}\")\n",
"print(f\"CAMERA_STATUS_DEVICE_IS_OPENED: {mvsdk.CAMERA_STATUS_DEVICE_IS_OPENED}\")\n",
"print(f\"CAMERA_STATUS_DEVICE_IS_CLOSED: {mvsdk.CAMERA_STATUS_DEVICE_IS_CLOSED}\")\n",
"print(f\"CAMERA_STATUS_ACCESS_DENY: {mvsdk.CAMERA_STATUS_ACCESS_DENY}\")\n",
"print(f\"CAMERA_STATUS_DEVICE_LOST: {mvsdk.CAMERA_STATUS_DEVICE_LOST}\")\n",
"print(f\"CAMERA_STATUS_TIME_OUT: {mvsdk.CAMERA_STATUS_TIME_OUT}\")\n",
"print(f\"CAMERA_STATUS_BUSY: {mvsdk.CAMERA_STATUS_BUSY}\")\n",
"print(f\"CAMERA_STATUS_NO_DEVICE_FOUND: {mvsdk.CAMERA_STATUS_NO_DEVICE_FOUND}\")"
]
},
{
"cell_type": "code",
"execution_count": 48,
"id": "status-functions",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Camera Availability Check\n",
"==============================\n",
"✓ SDK initialized successfully\n",
"✓ Found 2 camera(s)\n",
" 0: Blower-Yield-Cam (NET-1000M-192.168.1.165)\n",
" 1: Cracker-Cam (NET-1000M-192.168.1.167)\n",
"\n",
"Testing camera 0: Blower-Yield-Cam\n",
"✓ Camera is available (not opened by another process)\n",
"✓ Camera initialized successfully\n",
"✓ Camera closed after testing\n",
"\n",
"Testing camera 1: Cracker-Cam\n",
"✓ Camera is available (not opened by another process)\n",
"✓ Camera initialized successfully\n",
"✓ Camera closed after testing\n",
"\n",
"Results for 2 cameras:\n",
" Camera 0: AVAILABLE\n",
" Camera 1: AVAILABLE\n"
]
}
],
"source": [
"def check_camera_availability():\n",
" \"\"\"\n",
" Comprehensive camera availability check\n",
" \"\"\"\n",
" print(\"Camera Availability Check\")\n",
" print(\"=\" * 30)\n",
" \n",
" # Step 1: Initialize SDK\n",
" try:\n",
" mvsdk.CameraSdkInit(1)\n",
" print(\"✓ SDK initialized successfully\")\n",
" except Exception as e:\n",
" print(f\"✗ SDK initialization failed: {e}\")\n",
" return None, \"SDK_INIT_FAILED\"\n",
" \n",
" # Step 2: Enumerate cameras\n",
" try:\n",
" DevList = mvsdk.CameraEnumerateDevice()\n",
" nDev = len(DevList)\n",
" print(f\"✓ Found {nDev} camera(s)\")\n",
" \n",
" if nDev < 1:\n",
" print(\"✗ No cameras detected\")\n",
" return None, \"NO_CAMERAS\"\n",
" \n",
" for i, DevInfo in enumerate(DevList):\n",
" print(f\" {i}: {DevInfo.GetFriendlyName()} ({DevInfo.GetPortType()})\")\n",
" \n",
" except Exception as e:\n",
" print(f\"✗ Camera enumeration failed: {e}\")\n",
" return None, \"ENUM_FAILED\"\n",
" \n",
" # Step 3: Check all cameras\n",
" camera_results = []\n",
" \n",
" for i, DevInfo in enumerate(DevList):\n",
" print(f\"\\nTesting camera {i}: {DevInfo.GetFriendlyName()}\")\n",
" \n",
" # Check if camera is already opened\n",
" try:\n",
" is_opened = mvsdk.CameraIsOpened(DevInfo)\n",
" if is_opened:\n",
" print(\"✗ Camera is already opened by another process\")\n",
" camera_results.append((DevInfo, \"ALREADY_OPENED\"))\n",
" continue\n",
" else:\n",
" print(\"✓ Camera is available (not opened by another process)\")\n",
" except Exception as e:\n",
" print(f\"⚠ Could not check if camera is opened: {e}\")\n",
" \n",
" # Try to initialize camera\n",
" try:\n",
" hCamera = mvsdk.CameraInit(DevInfo, -1, -1)\n",
" print(\"✓ Camera initialized successfully\")\n",
" camera_results.append((hCamera, \"AVAILABLE\"))\n",
" \n",
" # Close the camera after testing\n",
" try:\n",
" mvsdk.CameraUnInit(hCamera)\n",
" print(\"✓ Camera closed after testing\")\n",
" except Exception as e:\n",
" print(f\"⚠ Warning: Could not close camera: {e}\")\n",
" \n",
" except mvsdk.CameraException as e:\n",
" print(f\"✗ Camera initialization failed: {e.error_code} - {e.message}\")\n",
" \n",
" # Analyze specific error codes\n",
" if e.error_code == mvsdk.CAMERA_STATUS_DEVICE_IS_OPENED:\n",
" camera_results.append((DevInfo, \"DEVICE_OPENED\"))\n",
" elif e.error_code == mvsdk.CAMERA_STATUS_ACCESS_DENY:\n",
" camera_results.append((DevInfo, \"ACCESS_DENIED\"))\n",
" elif e.error_code == mvsdk.CAMERA_STATUS_DEVICE_LOST:\n",
" camera_results.append((DevInfo, \"DEVICE_LOST\"))\n",
" else:\n",
" camera_results.append((DevInfo, f\"INIT_ERROR_{e.error_code}\"))\n",
" \n",
" except Exception as e:\n",
" print(f\"✗ Unexpected error during initialization: {e}\")\n",
" camera_results.append((DevInfo, \"UNEXPECTED_ERROR\"))\n",
" \n",
" return camera_results\n",
"\n",
"# Test the function\n",
"camera_results = check_camera_availability()\n",
"print(f\"\\nResults for {len(camera_results)} cameras:\")\n",
"for i, (camera_info, status) in enumerate(camera_results):\n",
" if hasattr(camera_info, 'GetFriendlyName'):\n",
" name = camera_info.GetFriendlyName()\n",
" else:\n",
" name = f\"Camera {i}\"\n",
" print(f\" {name}: {status}\")"
]
},
{
"cell_type": "code",
"execution_count": 49,
"id": "test-capture-availability",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"Testing capture readiness for 2 available camera(s):\n",
"\n",
"Testing camera 0 capture readiness...\n",
"\n",
"Testing Camera Capture Readiness\n",
"===================================\n",
"✓ Camera capabilities retrieved\n",
"✓ Camera type: Color\n",
"✓ Basic camera configuration set\n",
"✓ Camera started\n",
"✓ Frame buffer allocated\n",
"\n",
"Testing image capture...\n",
"✓ Image captured successfully: 1280x1024\n",
"✓ Image processed and buffer released\n",
"✓ Cleanup completed\n",
"Capture Ready for Blower-Yield-Cam: True\n",
"\n",
"Testing camera 1 capture readiness...\n",
"\n",
"Testing Camera Capture Readiness\n",
"===================================\n",
"✓ Camera capabilities retrieved\n",
"✓ Camera type: Color\n",
"✓ Basic camera configuration set\n",
"✓ Camera started\n",
"✓ Frame buffer allocated\n",
"\n",
"Testing image capture...\n",
"✓ Image captured successfully: 1280x1024\n",
"✓ Image processed and buffer released\n",
"✓ Cleanup completed\n",
"Capture Ready for Cracker-Cam: True\n"
]
}
],
"source": [
"def test_camera_capture_readiness(hCamera):\n",
" \"\"\"\n",
" Test if camera is ready for image capture\n",
" \"\"\"\n",
" if not isinstance(hCamera, int):\n",
" print(\"Camera not properly initialized, skipping capture test\")\n",
" return False\n",
" \n",
" print(\"\\nTesting Camera Capture Readiness\")\n",
" print(\"=\" * 35)\n",
" \n",
" try:\n",
" # Get camera capabilities\n",
" cap = mvsdk.CameraGetCapability(hCamera)\n",
" print(\"✓ Camera capabilities retrieved\")\n",
" \n",
" # Check camera type\n",
" monoCamera = (cap.sIspCapacity.bMonoSensor != 0)\n",
" print(f\"✓ Camera type: {'Monochrome' if monoCamera else 'Color'}\")\n",
" \n",
" # Set basic configuration\n",
" if monoCamera:\n",
" mvsdk.CameraSetIspOutFormat(hCamera, mvsdk.CAMERA_MEDIA_TYPE_MONO8)\n",
" else:\n",
" mvsdk.CameraSetIspOutFormat(hCamera, mvsdk.CAMERA_MEDIA_TYPE_BGR8)\n",
" \n",
" mvsdk.CameraSetTriggerMode(hCamera, 0) # Continuous mode\n",
" mvsdk.CameraSetAeState(hCamera, 0) # Manual exposure\n",
" mvsdk.CameraSetExposureTime(hCamera, 5000) # 5ms exposure\n",
" print(\"✓ Basic camera configuration set\")\n",
" \n",
" # Start camera\n",
" mvsdk.CameraPlay(hCamera)\n",
" print(\"✓ Camera started\")\n",
" \n",
" # Allocate buffer\n",
" FrameBufferSize = cap.sResolutionRange.iWidthMax * cap.sResolutionRange.iHeightMax * (1 if monoCamera else 3)\n",
" pFrameBuffer = mvsdk.CameraAlignMalloc(FrameBufferSize, 16)\n",
" print(\"✓ Frame buffer allocated\")\n",
" \n",
" # Test image capture with short timeout\n",
" print(\"\\nTesting image capture...\")\n",
" try:\n",
" pRawData, FrameHead = mvsdk.CameraGetImageBuffer(hCamera, 1000) # 1 second timeout\n",
" print(f\"✓ Image captured successfully: {FrameHead.iWidth}x{FrameHead.iHeight}\")\n",
" \n",
" # Process and release\n",
" mvsdk.CameraImageProcess(hCamera, pRawData, pFrameBuffer, FrameHead)\n",
" mvsdk.CameraReleaseImageBuffer(hCamera, pRawData)\n",
" print(\"✓ Image processed and buffer released\")\n",
" \n",
" capture_success = True\n",
" \n",
" except mvsdk.CameraException as e:\n",
" print(f\"✗ Image capture failed: {e.error_code} - {e.message}\")\n",
" \n",
" if e.error_code == mvsdk.CAMERA_STATUS_TIME_OUT:\n",
" print(\" → Camera timeout - may be busy or not streaming\")\n",
" elif e.error_code == mvsdk.CAMERA_STATUS_DEVICE_LOST:\n",
" print(\" → Device lost - camera disconnected\")\n",
" elif e.error_code == mvsdk.CAMERA_STATUS_BUSY:\n",
" print(\" → Camera busy - may be used by another process\")\n",
" \n",
" capture_success = False\n",
" \n",
" # Cleanup\n",
" mvsdk.CameraAlignFree(pFrameBuffer)\n",
" print(\"✓ Cleanup completed\")\n",
" \n",
" return capture_success\n",
" \n",
" except Exception as e:\n",
" print(f\"✗ Capture readiness test failed: {e}\")\n",
" return False\n",
"\n",
"# Test capture readiness for available cameras\n",
"available_cameras = [(cam, stat) for cam, stat in camera_results if stat == \"AVAILABLE\"]\n",
"\n",
"if available_cameras:\n",
" print(f\"\\nTesting capture readiness for {len(available_cameras)} available camera(s):\")\n",
" for i, (camera_handle, status) in enumerate(available_cameras):\n",
" if hasattr(camera_handle, 'GetFriendlyName'):\n",
" # This shouldn't happen for AVAILABLE cameras, but just in case\n",
" print(f\"\\nCamera {i}: Invalid handle\")\n",
" continue\n",
" \n",
" print(f\"\\nTesting camera {i} capture readiness...\")\n",
" # Re-initialize the camera for testing since we closed it earlier\n",
" try:\n",
" # Find the camera info from the original results\n",
" DevList = mvsdk.CameraEnumerateDevice()\n",
" if i < len(DevList):\n",
" DevInfo = DevList[i]\n",
" hCamera = mvsdk.CameraInit(DevInfo, -1, -1)\n",
" capture_ready = test_camera_capture_readiness(hCamera)\n",
" print(f\"Capture Ready for {DevInfo.GetFriendlyName()}: {capture_ready}\")\n",
" mvsdk.CameraUnInit(hCamera)\n",
" else:\n",
" print(f\"Could not re-initialize camera {i}\")\n",
" except Exception as e:\n",
" print(f\"Error testing camera {i}: {e}\")\n",
"else:\n",
" print(\"\\nNo cameras are available for capture testing\")\n",
" print(\"Camera statuses:\")\n",
" for i, (cam_info, status) in enumerate(camera_results):\n",
" if hasattr(cam_info, 'GetFriendlyName'):\n",
" name = cam_info.GetFriendlyName()\n",
" else:\n",
" name = f\"Camera {i}\"\n",
" print(f\" {name}: {status}\")"
]
},
{
"cell_type": "code",
"execution_count": 50,
"id": "comprehensive-check",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"==================================================\n",
"COMPREHENSIVE CAMERA CHECK\n",
"==================================================\n",
"Camera Availability Check\n",
"==============================\n",
"✓ SDK initialized successfully\n",
"✓ Found 2 camera(s)\n",
" 0: Blower-Yield-Cam (NET-1000M-192.168.1.165)\n",
" 1: Cracker-Cam (NET-1000M-192.168.1.167)\n",
"\n",
"Testing camera 0: Blower-Yield-Cam\n",
"✓ Camera is available (not opened by another process)\n",
"✓ Camera initialized successfully\n",
"✓ Camera closed after testing\n",
"\n",
"Testing camera 1: Cracker-Cam\n",
"✓ Camera is available (not opened by another process)\n",
"✓ Camera initialized successfully\n",
"✓ Camera closed after testing\n",
"\n",
"==================================================\n",
"FINAL RESULTS:\n",
"Camera Available: False\n",
"Capture Ready: False\n",
"Status: (34, 'AVAILABLE')\n",
"==================================================\n"
]
}
],
"source": [
"def comprehensive_camera_check():\n",
" \"\"\"\n",
" Complete camera availability and readiness check\n",
" Returns: (available, ready, handle_or_info, status_message)\n",
" \"\"\"\n",
" # Check availability\n",
" handle_or_info, status = check_camera_availability()\n",
" \n",
" available = status == \"AVAILABLE\"\n",
" ready = False\n",
" \n",
" if available:\n",
" # Test capture readiness\n",
" ready = test_camera_capture_readiness(handle_or_info)\n",
" \n",
" # Close camera after testing\n",
" try:\n",
" mvsdk.CameraUnInit(handle_or_info)\n",
" print(\"✓ Camera closed after testing\")\n",
" except:\n",
" pass\n",
" \n",
" return available, ready, handle_or_info, status\n",
"\n",
"# Run comprehensive check\n",
"print(\"\\n\" + \"=\" * 50)\n",
"print(\"COMPREHENSIVE CAMERA CHECK\")\n",
"print(\"=\" * 50)\n",
"\n",
"available, ready, info, status_msg = comprehensive_camera_check()\n",
"\n",
"print(\"\\n\" + \"=\" * 50)\n",
"print(\"FINAL RESULTS:\")\n",
"print(f\"Camera Available: {available}\")\n",
"print(f\"Capture Ready: {ready}\")\n",
"print(f\"Status: {status_msg}\")\n",
"print(\"=\" * 50)"
]
},
{
"cell_type": "code",
"execution_count": 51,
"id": "status-check-function",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"Testing Simple Camera Ready Check:\n",
"========================================\n",
"Ready: True\n",
"Message: Camera 'Blower-Yield-Cam' is ready for capture\n",
"Camera: Blower-Yield-Cam\n"
]
}
],
"source": [
"def is_camera_ready_for_capture():\n",
" \"\"\"\n",
" Simple function to check if camera is ready for capture.\n",
" Returns: (ready: bool, message: str, camera_info: object or None)\n",
" \n",
" This is the function you can use in your main capture script.\n",
" \"\"\"\n",
" try:\n",
" # Initialize SDK\n",
" mvsdk.CameraSdkInit(1)\n",
" \n",
" # Enumerate cameras\n",
" DevList = mvsdk.CameraEnumerateDevice()\n",
" if len(DevList) < 1:\n",
" return False, \"No cameras found\", None\n",
" \n",
" DevInfo = DevList[0]\n",
" \n",
" # Check if already opened\n",
" try:\n",
" if mvsdk.CameraIsOpened(DevInfo):\n",
" return False, f\"Camera '{DevInfo.GetFriendlyName()}' is already opened by another process\", DevInfo\n",
" except:\n",
" pass # Some cameras might not support this check\n",
" \n",
" # Try to initialize\n",
" try:\n",
" hCamera = mvsdk.CameraInit(DevInfo, -1, -1)\n",
" \n",
" # Quick capture test\n",
" try:\n",
" # Basic setup\n",
" mvsdk.CameraSetTriggerMode(hCamera, 0)\n",
" mvsdk.CameraPlay(hCamera)\n",
" \n",
" # Try to get one frame with short timeout\n",
" pRawData, FrameHead = mvsdk.CameraGetImageBuffer(hCamera, 500) # 0.5 second timeout\n",
" mvsdk.CameraReleaseImageBuffer(hCamera, pRawData)\n",
" \n",
" # Success - close and return\n",
" mvsdk.CameraUnInit(hCamera)\n",
" return True, f\"Camera '{DevInfo.GetFriendlyName()}' is ready for capture\", DevInfo\n",
" \n",
" except mvsdk.CameraException as e:\n",
" mvsdk.CameraUnInit(hCamera)\n",
" if e.error_code == mvsdk.CAMERA_STATUS_TIME_OUT:\n",
" return False, \"Camera timeout - may be busy or not streaming properly\", DevInfo\n",
" else:\n",
" return False, f\"Camera capture test failed: {e.message}\", DevInfo\n",
" \n",
" except mvsdk.CameraException as e:\n",
" if e.error_code == mvsdk.CAMERA_STATUS_DEVICE_IS_OPENED:\n",
" return False, f\"Camera '{DevInfo.GetFriendlyName()}' is already in use\", DevInfo\n",
" elif e.error_code == mvsdk.CAMERA_STATUS_ACCESS_DENY:\n",
" return False, f\"Access denied to camera '{DevInfo.GetFriendlyName()}'\", DevInfo\n",
" else:\n",
" return False, f\"Camera initialization failed: {e.message}\", DevInfo\n",
" \n",
" except Exception as e:\n",
" return False, f\"Camera check failed: {str(e)}\", None\n",
"\n",
"# Test the simple function\n",
"print(\"\\nTesting Simple Camera Ready Check:\")\n",
"print(\"=\" * 40)\n",
"\n",
"ready, message, camera_info = is_camera_ready_for_capture()\n",
"print(f\"Ready: {ready}\")\n",
"print(f\"Message: {message}\")\n",
"if camera_info:\n",
" print(f\"Camera: {camera_info.GetFriendlyName()}\")"
]
},
{
"cell_type": "markdown",
"id": "usage-example",
"metadata": {},
"source": [
"## Usage Example\n",
"\n",
"Here's how you can integrate the camera status check into your capture script:\n",
"\n",
"```python\n",
"# Before attempting to capture images\n",
"ready, message, camera_info = is_camera_ready_for_capture()\n",
"\n",
"if not ready:\n",
" print(f\"Camera not ready: {message}\")\n",
" # Handle the error appropriately\n",
" return False\n",
"\n",
"print(f\"Camera ready: {message}\")\n",
"# Proceed with normal capture logic\n",
"```\n",
"\n",
"## Key Findings\n",
"\n",
"1. **`CameraIsOpened()`** - Checks if camera is opened by another process\n",
"2. **`CameraInit()` error codes** - Provide specific failure reasons\n",
"3. **Quick capture test** - Verifies camera is actually streaming\n",
"4. **Timeout handling** - Detects if camera is busy/unresponsive\n",
"\n",
"The most reliable approach is to:\n",
"1. Check if camera exists\n",
"2. Check if it's already opened\n",
"3. Try to initialize it\n",
"4. Test actual image capture with short timeout\n",
"5. Clean up properly"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "cc_pecan",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.13.5"
}
},
"nbformat": 4,
"nbformat_minor": 5
}

439
camera_video_recorder.py Normal file
View File

@@ -0,0 +1,439 @@
# coding=utf-8
import cv2
import numpy as np
import platform
import time
import threading
from datetime import datetime
import os
import sys
# Add the python demo directory to path to import mvsdk
sys.path.append("python demo")
import mvsdk
class CameraVideoRecorder:
def __init__(self):
self.hCamera = 0
self.pFrameBuffer = 0
self.cap = None
self.monoCamera = False
self.recording = False
self.video_writer = None
self.frame_count = 0
self.start_time = None
def list_cameras(self):
"""List all available cameras"""
try:
# Initialize SDK
mvsdk.CameraSdkInit(1)
except Exception as e:
print(f"SDK initialization failed: {e}")
return []
# Enumerate cameras
DevList = mvsdk.CameraEnumerateDevice()
nDev = len(DevList)
if nDev < 1:
print("No cameras found!")
return []
print(f"\nFound {nDev} camera(s):")
cameras = []
for i, DevInfo in enumerate(DevList):
camera_info = {"index": i, "name": DevInfo.GetFriendlyName(), "port_type": DevInfo.GetPortType(), "serial": DevInfo.GetSn(), "dev_info": DevInfo}
cameras.append(camera_info)
print(f"{i}: {camera_info['name']} ({camera_info['port_type']}) - SN: {camera_info['serial']}")
return cameras
def initialize_camera(self, dev_info, exposure_ms=1.0, gain=3.5, target_fps=3.0):
"""Initialize camera with specified settings"""
self.target_fps = target_fps
try:
# Initialize camera
self.hCamera = mvsdk.CameraInit(dev_info, -1, -1)
print(f"Camera initialized successfully")
# Get camera capabilities
self.cap = mvsdk.CameraGetCapability(self.hCamera)
self.monoCamera = self.cap.sIspCapacity.bMonoSensor != 0
print(f"Camera type: {'Monochrome' if self.monoCamera else 'Color'}")
# Set output format
if self.monoCamera:
mvsdk.CameraSetIspOutFormat(self.hCamera, mvsdk.CAMERA_MEDIA_TYPE_MONO8)
else:
mvsdk.CameraSetIspOutFormat(self.hCamera, mvsdk.CAMERA_MEDIA_TYPE_BGR8)
# Calculate RGB buffer size
FrameBufferSize = self.cap.sResolutionRange.iWidthMax * self.cap.sResolutionRange.iHeightMax * (1 if self.monoCamera else 3)
# Allocate RGB buffer
self.pFrameBuffer = mvsdk.CameraAlignMalloc(FrameBufferSize, 16)
# Set camera to continuous capture mode
mvsdk.CameraSetTriggerMode(self.hCamera, 0)
# Set manual exposure
mvsdk.CameraSetAeState(self.hCamera, 0) # Disable auto exposure
exposure_time_us = exposure_ms * 1000 # Convert ms to microseconds
# Get exposure range and clamp value
try:
exp_min, exp_max, exp_step = mvsdk.CameraGetExposureTimeRange(self.hCamera)
exposure_time_us = max(exp_min, min(exp_max, exposure_time_us))
print(f"Exposure range: {exp_min:.1f} - {exp_max:.1f} μs")
except Exception as e:
print(f"Could not get exposure range: {e}")
mvsdk.CameraSetExposureTime(self.hCamera, exposure_time_us)
print(f"Set exposure time: {exposure_time_us/1000:.1f}ms")
# Set analog gain
try:
gain_min, gain_max, gain_step = mvsdk.CameraGetAnalogGainXRange(self.hCamera)
gain = max(gain_min, min(gain_max, gain))
mvsdk.CameraSetAnalogGainX(self.hCamera, gain)
print(f"Set analog gain: {gain:.2f}x (range: {gain_min:.2f} - {gain_max:.2f})")
except Exception as e:
print(f"Could not set analog gain: {e}")
# Start camera
mvsdk.CameraPlay(self.hCamera)
print("Camera started successfully")
return True
except mvsdk.CameraException as e:
print(f"Camera initialization failed({e.error_code}): {e.message}")
return False
def start_recording(self, output_filename=None):
"""Start video recording"""
if self.recording:
print("Already recording!")
return False
if not output_filename:
timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
output_filename = f"video_{timestamp}.avi"
# Create output directory if it doesn't exist
os.makedirs(os.path.dirname(output_filename) if os.path.dirname(output_filename) else ".", exist_ok=True)
# Get first frame to determine video properties
try:
pRawData, FrameHead = mvsdk.CameraGetImageBuffer(self.hCamera, 2000)
mvsdk.CameraImageProcess(self.hCamera, pRawData, self.pFrameBuffer, FrameHead)
mvsdk.CameraReleaseImageBuffer(self.hCamera, pRawData)
# Handle Windows frame flipping
if platform.system() == "Windows":
mvsdk.CameraFlipFrameBuffer(self.pFrameBuffer, FrameHead, 1)
# Convert to numpy array
frame_data = (mvsdk.c_ubyte * FrameHead.uBytes).from_address(self.pFrameBuffer)
frame = np.frombuffer(frame_data, dtype=np.uint8)
if self.monoCamera:
frame = frame.reshape((FrameHead.iHeight, FrameHead.iWidth))
# Convert mono to BGR for video writer
frame = cv2.cvtColor(frame, cv2.COLOR_GRAY2BGR)
else:
frame = frame.reshape((FrameHead.iHeight, FrameHead.iWidth, 3))
except mvsdk.CameraException as e:
print(f"Failed to get initial frame: {e.message}")
return False
# Initialize video writer
fourcc = cv2.VideoWriter_fourcc(*"XVID")
fps = getattr(self, "target_fps", 3.0) # Use configured FPS or default to 3.0
frame_size = (FrameHead.iWidth, FrameHead.iHeight)
self.video_writer = cv2.VideoWriter(output_filename, fourcc, fps, frame_size)
if not self.video_writer.isOpened():
print(f"Failed to open video writer for {output_filename}")
return False
self.recording = True
self.frame_count = 0
self.start_time = time.time()
self.output_filename = output_filename
print(f"Started recording to: {output_filename}")
print(f"Frame size: {frame_size}, FPS: {fps}")
print("Press 'q' to stop recording...")
return True
def stop_recording(self):
"""Stop video recording"""
if not self.recording:
print("Not currently recording!")
return False
self.recording = False
if self.video_writer:
self.video_writer.release()
self.video_writer = None
duration = time.time() - self.start_time if self.start_time else 0
avg_fps = self.frame_count / duration if duration > 0 else 0
print(f"\nRecording stopped!")
print(f"Saved: {self.output_filename}")
print(f"Frames recorded: {self.frame_count}")
print(f"Duration: {duration:.1f} seconds")
print(f"Average FPS: {avg_fps:.1f}")
return True
def record_loop(self):
"""Main recording loop"""
if not self.recording:
return
print("Recording... Press 'q' in the preview window to stop")
while self.recording:
try:
# Get frame from camera
pRawData, FrameHead = mvsdk.CameraGetImageBuffer(self.hCamera, 200)
mvsdk.CameraImageProcess(self.hCamera, pRawData, self.pFrameBuffer, FrameHead)
mvsdk.CameraReleaseImageBuffer(self.hCamera, pRawData)
# Handle Windows frame flipping
if platform.system() == "Windows":
mvsdk.CameraFlipFrameBuffer(self.pFrameBuffer, FrameHead, 1)
# Convert to numpy array
frame_data = (mvsdk.c_ubyte * FrameHead.uBytes).from_address(self.pFrameBuffer)
frame = np.frombuffer(frame_data, dtype=np.uint8)
if self.monoCamera:
frame = frame.reshape((FrameHead.iHeight, FrameHead.iWidth))
frame_bgr = cv2.cvtColor(frame, cv2.COLOR_GRAY2BGR)
else:
frame = frame.reshape((FrameHead.iHeight, FrameHead.iWidth, 3))
frame_bgr = frame
# Write every frame to video (FPS is controlled by video file playback rate)
if self.video_writer and self.recording:
self.video_writer.write(frame_bgr)
self.frame_count += 1
# Show preview (resized for display)
display_frame = cv2.resize(frame_bgr, (640, 480), interpolation=cv2.INTER_LINEAR)
# Add small delay to control capture rate based on target FPS
target_fps = getattr(self, "target_fps", 3.0)
time.sleep(1.0 / target_fps)
# Add recording indicator
cv2.putText(display_frame, f"REC - Frame: {self.frame_count}", (10, 30), cv2.FONT_HERSHEY_SIMPLEX, 0.7, (0, 0, 255), 2)
cv2.imshow("Camera Recording - Press 'q' to stop", display_frame)
# Check for quit key
if cv2.waitKey(1) & 0xFF == ord("q"):
self.stop_recording()
break
except mvsdk.CameraException as e:
if e.error_code != mvsdk.CAMERA_STATUS_TIME_OUT:
print(f"Camera error: {e.message}")
break
def cleanup(self):
"""Clean up resources"""
if self.recording:
self.stop_recording()
if self.video_writer:
self.video_writer.release()
if self.hCamera > 0:
mvsdk.CameraUnInit(self.hCamera)
self.hCamera = 0
if self.pFrameBuffer:
mvsdk.CameraAlignFree(self.pFrameBuffer)
self.pFrameBuffer = 0
cv2.destroyAllWindows()
def interactive_menu():
"""Interactive menu for camera operations"""
recorder = CameraVideoRecorder()
try:
# List available cameras
cameras = recorder.list_cameras()
if not cameras:
return
# Select camera
if len(cameras) == 1:
selected_camera = cameras[0]
print(f"\nUsing camera: {selected_camera['name']}")
else:
while True:
try:
choice = int(input(f"\nSelect camera (0-{len(cameras)-1}): "))
if 0 <= choice < len(cameras):
selected_camera = cameras[choice]
break
else:
print("Invalid selection!")
except ValueError:
print("Please enter a valid number!")
# Get camera settings from user
print(f"\nCamera Settings:")
try:
exposure = float(input("Enter exposure time in ms (default 1.0): ") or "1.0")
gain = float(input("Enter gain value (default 3.5): ") or "3.5")
fps = float(input("Enter target FPS (default 3.0): ") or "3.0")
except ValueError:
print("Using default values: exposure=1.0ms, gain=3.5x, fps=3.0")
exposure, gain, fps = 1.0, 3.5, 3.0
# Initialize camera with specified settings
print(f"\nInitializing camera with:")
print(f"- Exposure: {exposure}ms")
print(f"- Gain: {gain}x")
print(f"- Target FPS: {fps}")
if not recorder.initialize_camera(selected_camera["dev_info"], exposure_ms=exposure, gain=gain, target_fps=fps):
return
# Menu loop
while True:
print(f"\n{'='*50}")
print("Camera Video Recorder Menu")
print(f"{'='*50}")
print("1. Start Recording")
print("2. List Camera Info")
print("3. Test Camera (Live Preview)")
print("4. Exit")
try:
choice = input("\nSelect option (1-4): ").strip()
if choice == "1":
# Start recording
timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
output_file = f"videos/camera_recording_{timestamp}.avi"
# Create videos directory
os.makedirs("videos", exist_ok=True)
if recorder.start_recording(output_file):
recorder.record_loop()
elif choice == "2":
# Show camera info
print(f"\nCamera Information:")
print(f"Name: {selected_camera['name']}")
print(f"Port Type: {selected_camera['port_type']}")
print(f"Serial Number: {selected_camera['serial']}")
print(f"Type: {'Monochrome' if recorder.monoCamera else 'Color'}")
elif choice == "3":
# Live preview
print("\nLive Preview - Press 'q' to stop")
preview_loop(recorder)
elif choice == "4":
print("Exiting...")
break
else:
print("Invalid option! Please select 1-4.")
except KeyboardInterrupt:
print("\nReturning to menu...")
continue
except KeyboardInterrupt:
print("\nInterrupted by user")
except Exception as e:
print(f"Error: {e}")
import traceback
traceback.print_exc()
finally:
recorder.cleanup()
print("Cleanup completed")
def preview_loop(recorder):
"""Live preview without recording"""
print("Live preview mode - Press 'q' to return to menu")
while True:
try:
# Get frame from camera
pRawData, FrameHead = mvsdk.CameraGetImageBuffer(recorder.hCamera, 200)
mvsdk.CameraImageProcess(recorder.hCamera, pRawData, recorder.pFrameBuffer, FrameHead)
mvsdk.CameraReleaseImageBuffer(recorder.hCamera, pRawData)
# Handle Windows frame flipping
if platform.system() == "Windows":
mvsdk.CameraFlipFrameBuffer(recorder.pFrameBuffer, FrameHead, 1)
# Convert to numpy array
frame_data = (mvsdk.c_ubyte * FrameHead.uBytes).from_address(recorder.pFrameBuffer)
frame = np.frombuffer(frame_data, dtype=np.uint8)
if recorder.monoCamera:
frame = frame.reshape((FrameHead.iHeight, FrameHead.iWidth))
frame_bgr = cv2.cvtColor(frame, cv2.COLOR_GRAY2BGR)
else:
frame = frame.reshape((FrameHead.iHeight, FrameHead.iWidth, 3))
frame_bgr = frame
# Show preview (resized for display)
display_frame = cv2.resize(frame_bgr, (640, 480), interpolation=cv2.INTER_LINEAR)
# Add info overlay
cv2.putText(display_frame, f"PREVIEW - {FrameHead.iWidth}x{FrameHead.iHeight}", (10, 30), cv2.FONT_HERSHEY_SIMPLEX, 0.7, (0, 255, 0), 2)
cv2.putText(display_frame, "Press 'q' to return to menu", (10, display_frame.shape[0] - 20), cv2.FONT_HERSHEY_SIMPLEX, 0.5, (255, 255, 255), 1)
cv2.imshow("Camera Preview", display_frame)
# Check for quit key
if cv2.waitKey(1) & 0xFF == ord("q"):
cv2.destroyWindow("Camera Preview")
break
except mvsdk.CameraException as e:
if e.error_code != mvsdk.CAMERA_STATUS_TIME_OUT:
print(f"Camera error: {e.message}")
break
def main():
print("Camera Video Recorder")
print("====================")
print("This script allows you to:")
print("- List all available cameras")
print("- Record videos with custom exposure (1ms), gain (3.5x), and FPS (3.0) settings")
print("- Save videos with timestamps")
print("- Stop recording anytime with 'q' key")
print()
interactive_menu()
if __name__ == "__main__":
main()

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exposure test.ipynb Normal file
View File

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{
"cells": [
{
"cell_type": "code",
"execution_count": 25,
"id": "ba958c88",
"metadata": {},
"outputs": [],
"source": [
"# coding=utf-8\n",
"\"\"\"\n",
"Test script to help find optimal exposure settings for your GigE camera.\n",
"This script captures a single test image with different exposure settings.\n",
"\"\"\"\n",
"import sys\n",
"\n",
"sys.path.append(\"./python demo\")\n",
"import os\n",
"import mvsdk\n",
"import numpy as np\n",
"import cv2\n",
"import platform\n",
"from datetime import datetime\n",
"\n",
"# Add the python demo directory to path\n"
]
},
{
"cell_type": "code",
"execution_count": 26,
"id": "23f1dc49",
"metadata": {},
"outputs": [],
"source": [
"def test_exposure_settings():\n",
" \"\"\"\n",
" Test different exposure settings to find optimal values\n",
" \"\"\"\n",
" # Initialize SDK\n",
" try:\n",
" mvsdk.CameraSdkInit(1)\n",
" print(\"SDK initialized successfully\")\n",
" except Exception as e:\n",
" print(f\"SDK initialization failed: {e}\")\n",
" return False\n",
"\n",
" # Enumerate cameras\n",
" DevList = mvsdk.CameraEnumerateDevice()\n",
" nDev = len(DevList)\n",
"\n",
" if nDev < 1:\n",
" print(\"No camera was found!\")\n",
" return False\n",
"\n",
" print(f\"Found {nDev} camera(s):\")\n",
" for i, DevInfo in enumerate(DevList):\n",
" print(f\" {i}: {DevInfo.GetFriendlyName()} ({DevInfo.GetPortType()})\")\n",
"\n",
" # Use first camera\n",
" DevInfo = DevList[0]\n",
" print(f\"\\nSelected camera: {DevInfo.GetFriendlyName()}\")\n",
"\n",
" # Initialize camera\n",
" try:\n",
" hCamera = mvsdk.CameraInit(DevInfo, -1, -1)\n",
" print(\"Camera initialized successfully\")\n",
" except mvsdk.CameraException as e:\n",
" print(f\"CameraInit Failed({e.error_code}): {e.message}\")\n",
" return False\n",
"\n",
" try:\n",
" # Get camera capabilities\n",
" cap = mvsdk.CameraGetCapability(hCamera)\n",
" monoCamera = cap.sIspCapacity.bMonoSensor != 0\n",
" print(f\"Camera type: {'Monochrome' if monoCamera else 'Color'}\")\n",
"\n",
" # Get camera ranges\n",
" try:\n",
" exp_min, exp_max, exp_step = mvsdk.CameraGetExposureTimeRange(hCamera)\n",
" print(f\"Exposure time range: {exp_min:.1f} - {exp_max:.1f} μs\")\n",
"\n",
" gain_min, gain_max, gain_step = mvsdk.CameraGetAnalogGainXRange(hCamera)\n",
" print(f\"Analog gain range: {gain_min:.2f} - {gain_max:.2f}x\")\n",
"\n",
" print(\"whatever this is: \", mvsdk.CameraGetAnalogGainXRange(hCamera))\n",
" except Exception as e:\n",
" print(f\"Could not get camera ranges: {e}\")\n",
" exp_min, exp_max = 100, 100000\n",
" gain_min, gain_max = 1.0, 4.0\n",
"\n",
" # Set output format\n",
" if monoCamera:\n",
" mvsdk.CameraSetIspOutFormat(hCamera, mvsdk.CAMERA_MEDIA_TYPE_MONO8)\n",
" else:\n",
" mvsdk.CameraSetIspOutFormat(hCamera, mvsdk.CAMERA_MEDIA_TYPE_BGR8)\n",
"\n",
" # Set camera to continuous capture mode\n",
" mvsdk.CameraSetTriggerMode(hCamera, 0)\n",
" mvsdk.CameraSetAeState(hCamera, 0) # Disable auto exposure\n",
"\n",
" # Start camera\n",
" mvsdk.CameraPlay(hCamera)\n",
"\n",
" # Allocate frame buffer\n",
" FrameBufferSize = cap.sResolutionRange.iWidthMax * cap.sResolutionRange.iHeightMax * (1 if monoCamera else 3)\n",
" pFrameBuffer = mvsdk.CameraAlignMalloc(FrameBufferSize, 16)\n",
"\n",
" # Create test directory\n",
" if not os.path.exists(\"exposure_tests\"):\n",
" os.makedirs(\"exposure_tests\")\n",
"\n",
" print(\"\\nTesting different exposure settings...\")\n",
" print(\"=\" * 50)\n",
"\n",
" # Test different exposure times (in microseconds)\n",
" exposure_times = [100, 200, 500, 1000, 2000, 5000, 10000, 20000] # 0.5ms to 20ms\n",
" analog_gains = [2.5, 5.0, 10.0, 16.0] # Start with 1x gain\n",
"\n",
" test_count = 0\n",
" for exp_time in exposure_times:\n",
" for gain in analog_gains:\n",
" # Clamp values to valid ranges\n",
" exp_time = max(exp_min, min(exp_max, exp_time))\n",
" gain = max(gain_min, min(gain_max, gain))\n",
"\n",
" print(f\"\\nTest {test_count + 1}: Exposure={exp_time/1000:.1f}ms, Gain={gain:.1f}x\")\n",
"\n",
" # Set camera parameters\n",
" mvsdk.CameraSetExposureTime(hCamera, exp_time)\n",
" try:\n",
" mvsdk.CameraSetAnalogGainX(hCamera, gain)\n",
" except:\n",
" pass # Some cameras might not support this\n",
"\n",
" # Wait a moment for settings to take effect\n",
" import time\n",
"\n",
" time.sleep(0.1)\n",
"\n",
" # Capture image\n",
" try:\n",
" pRawData, FrameHead = mvsdk.CameraGetImageBuffer(hCamera, 2000)\n",
" mvsdk.CameraImageProcess(hCamera, pRawData, pFrameBuffer, FrameHead)\n",
" mvsdk.CameraReleaseImageBuffer(hCamera, pRawData)\n",
"\n",
" # Handle Windows image flip\n",
" if platform.system() == \"Windows\":\n",
" mvsdk.CameraFlipFrameBuffer(pFrameBuffer, FrameHead, 1)\n",
"\n",
" # Convert to numpy array\n",
" frame_data = (mvsdk.c_ubyte * FrameHead.uBytes).from_address(pFrameBuffer)\n",
" frame = np.frombuffer(frame_data, dtype=np.uint8)\n",
"\n",
" if FrameHead.uiMediaType == mvsdk.CAMERA_MEDIA_TYPE_MONO8:\n",
" frame = frame.reshape((FrameHead.iHeight, FrameHead.iWidth))\n",
" else:\n",
" frame = frame.reshape((FrameHead.iHeight, FrameHead.iWidth, 3))\n",
"\n",
" # Calculate image statistics\n",
" mean_brightness = np.mean(frame)\n",
" max_brightness = np.max(frame)\n",
"\n",
" # Save image\n",
" filename = f\"exposure_tests/test_{test_count+1:02d}_exp{exp_time/1000:.1f}ms_gain{gain:.1f}x.jpg\"\n",
" cv2.imwrite(filename, frame)\n",
"\n",
" # Provide feedback\n",
" status = \"\"\n",
" if mean_brightness < 50:\n",
" status = \"TOO DARK\"\n",
" elif mean_brightness > 200:\n",
" status = \"TOO BRIGHT\"\n",
" elif max_brightness >= 255:\n",
" status = \"OVEREXPOSED\"\n",
" else:\n",
" status = \"GOOD\"\n",
"\n",
" print(f\" → Saved: {filename}\")\n",
" print(f\" → Brightness: mean={mean_brightness:.1f}, max={max_brightness:.1f} [{status}]\")\n",
"\n",
" test_count += 1\n",
"\n",
" except mvsdk.CameraException as e:\n",
" print(f\" → Failed to capture: {e.message}\")\n",
"\n",
" print(f\"\\nCompleted {test_count} test captures!\")\n",
" print(\"Check the 'exposure_tests' directory to see the results.\")\n",
" print(\"\\nRecommendations:\")\n",
" print(\"- Look for images marked as 'GOOD' - these have optimal exposure\")\n",
" print(\"- If all images are 'TOO BRIGHT', try lower exposure times or gains\")\n",
" print(\"- If all images are 'TOO DARK', try higher exposure times or gains\")\n",
" print(\"- Avoid 'OVEREXPOSED' images as they have clipped highlights\")\n",
"\n",
" # Cleanup\n",
" mvsdk.CameraAlignFree(pFrameBuffer)\n",
"\n",
" finally:\n",
" # Close camera\n",
" mvsdk.CameraUnInit(hCamera)\n",
" print(\"\\nCamera closed\")\n",
"\n",
" return True"
]
},
{
"cell_type": "code",
"execution_count": 27,
"id": "2891b5bf",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"GigE Camera Exposure Test Script\n",
"========================================\n",
"This script will test different exposure settings and save sample images.\n",
"Use this to find the optimal settings for your lighting conditions.\n",
"\n",
"SDK initialized successfully\n",
"Found 2 camera(s):\n",
" 0: Blower-Yield-Cam (NET-100M-192.168.1.204)\n",
" 1: Cracker-Cam (NET-1000M-192.168.1.246)\n",
"\n",
"Selected camera: Blower-Yield-Cam\n",
"Camera initialized successfully\n",
"Camera type: Color\n",
"Exposure time range: 8.0 - 1048568.0 μs\n",
"Analog gain range: 2.50 - 16.50x\n",
"whatever this is: (2.5, 16.5, 0.5)\n",
"\n",
"Testing different exposure settings...\n",
"==================================================\n",
"\n",
"Test 1: Exposure=0.1ms, Gain=2.5x\n",
" → Saved: exposure_tests/test_01_exp0.1ms_gain2.5x.jpg\n",
" → Brightness: mean=94.1, max=255.0 [OVEREXPOSED]\n",
"\n",
"Test 2: Exposure=0.1ms, Gain=5.0x\n",
" → Saved: exposure_tests/test_02_exp0.1ms_gain5.0x.jpg\n",
" → Brightness: mean=13.7, max=173.0 [TOO DARK]\n",
"\n",
"Test 3: Exposure=0.1ms, Gain=10.0x\n",
" → Saved: exposure_tests/test_03_exp0.1ms_gain10.0x.jpg\n",
" → Brightness: mean=14.1, max=255.0 [TOO DARK]\n",
"\n",
"Test 4: Exposure=0.1ms, Gain=16.0x\n",
" → Saved: exposure_tests/test_04_exp0.1ms_gain16.0x.jpg\n",
" → Brightness: mean=18.2, max=255.0 [TOO DARK]\n",
"\n",
"Test 5: Exposure=0.2ms, Gain=2.5x\n",
" → Saved: exposure_tests/test_05_exp0.2ms_gain2.5x.jpg\n",
" → Brightness: mean=22.1, max=255.0 [TOO DARK]\n",
"\n",
"Test 6: Exposure=0.2ms, Gain=5.0x\n",
" → Saved: exposure_tests/test_06_exp0.2ms_gain5.0x.jpg\n",
" → Brightness: mean=19.5, max=255.0 [TOO DARK]\n",
"\n",
"Test 7: Exposure=0.2ms, Gain=10.0x\n",
" → Saved: exposure_tests/test_07_exp0.2ms_gain10.0x.jpg\n",
" → Brightness: mean=25.3, max=255.0 [TOO DARK]\n",
"\n",
"Test 8: Exposure=0.2ms, Gain=16.0x\n",
" → Saved: exposure_tests/test_08_exp0.2ms_gain16.0x.jpg\n",
" → Brightness: mean=36.6, max=255.0 [TOO DARK]\n",
"\n",
"Test 9: Exposure=0.5ms, Gain=2.5x\n",
" → Saved: exposure_tests/test_09_exp0.5ms_gain2.5x.jpg\n",
" → Brightness: mean=55.8, max=255.0 [OVEREXPOSED]\n",
"\n",
"Test 10: Exposure=0.5ms, Gain=5.0x\n",
" → Saved: exposure_tests/test_10_exp0.5ms_gain5.0x.jpg\n",
" → Brightness: mean=38.5, max=255.0 [TOO DARK]\n",
"\n",
"Test 11: Exposure=0.5ms, Gain=10.0x\n",
" → Saved: exposure_tests/test_11_exp0.5ms_gain10.0x.jpg\n",
" → Brightness: mean=60.2, max=255.0 [OVEREXPOSED]\n",
"\n",
"Test 12: Exposure=0.5ms, Gain=16.0x\n",
" → Saved: exposure_tests/test_12_exp0.5ms_gain16.0x.jpg\n",
" → Brightness: mean=99.3, max=255.0 [OVEREXPOSED]\n",
"\n",
"Test 13: Exposure=1.0ms, Gain=2.5x\n",
" → Saved: exposure_tests/test_13_exp1.0ms_gain2.5x.jpg\n",
" → Brightness: mean=121.1, max=255.0 [OVEREXPOSED]\n",
"\n",
"Test 14: Exposure=1.0ms, Gain=5.0x\n",
" → Saved: exposure_tests/test_14_exp1.0ms_gain5.0x.jpg\n",
" → Brightness: mean=68.8, max=255.0 [OVEREXPOSED]\n",
"\n",
"Test 15: Exposure=1.0ms, Gain=10.0x\n",
" → Saved: exposure_tests/test_15_exp1.0ms_gain10.0x.jpg\n",
" → Brightness: mean=109.6, max=255.0 [OVEREXPOSED]\n",
"\n",
"Test 16: Exposure=1.0ms, Gain=16.0x\n",
" → Saved: exposure_tests/test_16_exp1.0ms_gain16.0x.jpg\n",
" → Brightness: mean=148.7, max=255.0 [OVEREXPOSED]\n",
"\n",
"Test 17: Exposure=2.0ms, Gain=2.5x\n",
" → Saved: exposure_tests/test_17_exp2.0ms_gain2.5x.jpg\n",
" → Brightness: mean=171.9, max=255.0 [OVEREXPOSED]\n",
"\n",
"Test 18: Exposure=2.0ms, Gain=5.0x\n",
" → Saved: exposure_tests/test_18_exp2.0ms_gain5.0x.jpg\n",
" → Brightness: mean=117.9, max=255.0 [OVEREXPOSED]\n",
"\n",
"Test 19: Exposure=2.0ms, Gain=10.0x\n",
" → Saved: exposure_tests/test_19_exp2.0ms_gain10.0x.jpg\n",
" → Brightness: mean=159.0, max=255.0 [OVEREXPOSED]\n",
"\n",
"Test 20: Exposure=2.0ms, Gain=16.0x\n",
" → Saved: exposure_tests/test_20_exp2.0ms_gain16.0x.jpg\n",
" → Brightness: mean=195.7, max=255.0 [OVEREXPOSED]\n",
"\n",
"Test 21: Exposure=5.0ms, Gain=2.5x\n",
" → Saved: exposure_tests/test_21_exp5.0ms_gain2.5x.jpg\n",
" → Brightness: mean=214.6, max=255.0 [TOO BRIGHT]\n",
"\n",
"Test 22: Exposure=5.0ms, Gain=5.0x\n",
" → Saved: exposure_tests/test_22_exp5.0ms_gain5.0x.jpg\n",
" → Brightness: mean=180.2, max=255.0 [OVEREXPOSED]\n",
"\n",
"Test 23: Exposure=5.0ms, Gain=10.0x\n",
" → Saved: exposure_tests/test_23_exp5.0ms_gain10.0x.jpg\n",
" → Brightness: mean=214.6, max=255.0 [TOO BRIGHT]\n",
"\n",
"Test 24: Exposure=5.0ms, Gain=16.0x\n",
" → Saved: exposure_tests/test_24_exp5.0ms_gain16.0x.jpg\n",
" → Brightness: mean=239.6, max=255.0 [TOO BRIGHT]\n",
"\n",
"Test 25: Exposure=10.0ms, Gain=2.5x\n",
" → Saved: exposure_tests/test_25_exp10.0ms_gain2.5x.jpg\n",
" → Brightness: mean=247.5, max=255.0 [TOO BRIGHT]\n",
"\n",
"Test 26: Exposure=10.0ms, Gain=5.0x\n",
" → Saved: exposure_tests/test_26_exp10.0ms_gain5.0x.jpg\n",
" → Brightness: mean=252.4, max=255.0 [TOO BRIGHT]\n",
"\n",
"Test 27: Exposure=10.0ms, Gain=10.0x\n",
" → Saved: exposure_tests/test_27_exp10.0ms_gain10.0x.jpg\n",
" → Brightness: mean=218.9, max=255.0 [TOO BRIGHT]\n",
"\n",
"Test 28: Exposure=10.0ms, Gain=16.0x\n",
" → Saved: exposure_tests/test_28_exp10.0ms_gain16.0x.jpg\n",
" → Brightness: mean=250.8, max=255.0 [TOO BRIGHT]\n",
"\n",
"Test 29: Exposure=20.0ms, Gain=2.5x\n",
" → Saved: exposure_tests/test_29_exp20.0ms_gain2.5x.jpg\n",
" → Brightness: mean=252.4, max=255.0 [TOO BRIGHT]\n",
"\n",
"Test 30: Exposure=20.0ms, Gain=5.0x\n",
" → Saved: exposure_tests/test_30_exp20.0ms_gain5.0x.jpg\n",
" → Brightness: mean=244.4, max=255.0 [TOO BRIGHT]\n",
"\n",
"Test 31: Exposure=20.0ms, Gain=10.0x\n",
" → Saved: exposure_tests/test_31_exp20.0ms_gain10.0x.jpg\n",
" → Brightness: mean=251.5, max=255.0 [TOO BRIGHT]\n",
"\n",
"Test 32: Exposure=20.0ms, Gain=16.0x\n",
" → Saved: exposure_tests/test_32_exp20.0ms_gain16.0x.jpg\n",
" → Brightness: mean=253.4, max=255.0 [TOO BRIGHT]\n",
"\n",
"Completed 32 test captures!\n",
"Check the 'exposure_tests' directory to see the results.\n",
"\n",
"Recommendations:\n",
"- Look for images marked as 'GOOD' - these have optimal exposure\n",
"- If all images are 'TOO BRIGHT', try lower exposure times or gains\n",
"- If all images are 'TOO DARK', try higher exposure times or gains\n",
"- Avoid 'OVEREXPOSED' images as they have clipped highlights\n",
"\n",
"Camera closed\n",
"\n",
"Testing completed successfully!\n"
]
}
],
"source": [
"\n",
"\n",
"if __name__ == \"__main__\":\n",
" print(\"GigE Camera Exposure Test Script\")\n",
" print(\"=\" * 40)\n",
" print(\"This script will test different exposure settings and save sample images.\")\n",
" print(\"Use this to find the optimal settings for your lighting conditions.\")\n",
" print()\n",
"\n",
" success = test_exposure_settings()\n",
"\n",
" if success:\n",
" print(\"\\nTesting completed successfully!\")\n",
" else:\n",
" print(\"\\nTesting failed!\")\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "ead8d889",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "cc_pecan",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.13.5"
}
},
"nbformat": 4,
"nbformat_minor": 5
}

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#coding=utf-8
import cv2
import numpy as np
import mvsdk
import platform
def main_loop():
# 枚举相机
DevList = mvsdk.CameraEnumerateDevice()
nDev = len(DevList)
if nDev < 1:
print("No camera was found!")
return
for i, DevInfo in enumerate(DevList):
print("{}: {} {}".format(i, DevInfo.GetFriendlyName(), DevInfo.GetPortType()))
i = 0 if nDev == 1 else int(input("Select camera: "))
DevInfo = DevList[i]
print(DevInfo)
# 打开相机
hCamera = 0
try:
hCamera = mvsdk.CameraInit(DevInfo, -1, -1)
except mvsdk.CameraException as e:
print("CameraInit Failed({}): {}".format(e.error_code, e.message) )
return
# 获取相机特性描述
cap = mvsdk.CameraGetCapability(hCamera)
# 判断是黑白相机还是彩色相机
monoCamera = (cap.sIspCapacity.bMonoSensor != 0)
# 黑白相机让ISP直接输出MONO数据而不是扩展成R=G=B的24位灰度
if monoCamera:
mvsdk.CameraSetIspOutFormat(hCamera, mvsdk.CAMERA_MEDIA_TYPE_MONO8)
else:
mvsdk.CameraSetIspOutFormat(hCamera, mvsdk.CAMERA_MEDIA_TYPE_BGR8)
# 相机模式切换成连续采集
mvsdk.CameraSetTriggerMode(hCamera, 0)
# 手动曝光曝光时间30ms
mvsdk.CameraSetAeState(hCamera, 0)
mvsdk.CameraSetExposureTime(hCamera, 30 * 1000)
# 让SDK内部取图线程开始工作
mvsdk.CameraPlay(hCamera)
# 计算RGB buffer所需的大小这里直接按照相机的最大分辨率来分配
FrameBufferSize = cap.sResolutionRange.iWidthMax * cap.sResolutionRange.iHeightMax * (1 if monoCamera else 3)
# 分配RGB buffer用来存放ISP输出的图像
# 备注从相机传输到PC端的是RAW数据在PC端通过软件ISP转为RGB数据如果是黑白相机就不需要转换格式但是ISP还有其它处理所以也需要分配这个buffer
pFrameBuffer = mvsdk.CameraAlignMalloc(FrameBufferSize, 16)
while (cv2.waitKey(1) & 0xFF) != ord('q'):
# 从相机取一帧图片
try:
pRawData, FrameHead = mvsdk.CameraGetImageBuffer(hCamera, 200)
mvsdk.CameraImageProcess(hCamera, pRawData, pFrameBuffer, FrameHead)
mvsdk.CameraReleaseImageBuffer(hCamera, pRawData)
# windows下取到的图像数据是上下颠倒的以BMP格式存放。转换成opencv则需要上下翻转成正的
# linux下直接输出正的不需要上下翻转
if platform.system() == "Windows":
mvsdk.CameraFlipFrameBuffer(pFrameBuffer, FrameHead, 1)
# 此时图片已经存储在pFrameBuffer中对于彩色相机pFrameBuffer=RGB数据黑白相机pFrameBuffer=8位灰度数据
# 把pFrameBuffer转换成opencv的图像格式以进行后续算法处理
frame_data = (mvsdk.c_ubyte * FrameHead.uBytes).from_address(pFrameBuffer)
frame = np.frombuffer(frame_data, dtype=np.uint8)
frame = frame.reshape((FrameHead.iHeight, FrameHead.iWidth, 1 if FrameHead.uiMediaType == mvsdk.CAMERA_MEDIA_TYPE_MONO8 else 3) )
frame = cv2.resize(frame, (640,480), interpolation = cv2.INTER_LINEAR)
cv2.imshow("Press q to end", frame)
except mvsdk.CameraException as e:
if e.error_code != mvsdk.CAMERA_STATUS_TIME_OUT:
print("CameraGetImageBuffer failed({}): {}".format(e.error_code, e.message) )
# 关闭相机
mvsdk.CameraUnInit(hCamera)
# 释放帧缓存
mvsdk.CameraAlignFree(pFrameBuffer)
def main():
try:
main_loop()
finally:
cv2.destroyAllWindows()
main()

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#coding=utf-8
import cv2
import numpy as np
import mvsdk
import platform
class Camera(object):
def __init__(self, DevInfo):
super(Camera, self).__init__()
self.DevInfo = DevInfo
self.hCamera = 0
self.cap = None
self.pFrameBuffer = 0
def open(self):
if self.hCamera > 0:
return True
# 打开相机
hCamera = 0
try:
hCamera = mvsdk.CameraInit(self.DevInfo, -1, -1)
except mvsdk.CameraException as e:
print("CameraInit Failed({}): {}".format(e.error_code, e.message) )
return False
# 获取相机特性描述
cap = mvsdk.CameraGetCapability(hCamera)
# 判断是黑白相机还是彩色相机
monoCamera = (cap.sIspCapacity.bMonoSensor != 0)
# 黑白相机让ISP直接输出MONO数据而不是扩展成R=G=B的24位灰度
if monoCamera:
mvsdk.CameraSetIspOutFormat(hCamera, mvsdk.CAMERA_MEDIA_TYPE_MONO8)
else:
mvsdk.CameraSetIspOutFormat(hCamera, mvsdk.CAMERA_MEDIA_TYPE_BGR8)
# 计算RGB buffer所需的大小这里直接按照相机的最大分辨率来分配
FrameBufferSize = cap.sResolutionRange.iWidthMax * cap.sResolutionRange.iHeightMax * (1 if monoCamera else 3)
# 分配RGB buffer用来存放ISP输出的图像
# 备注从相机传输到PC端的是RAW数据在PC端通过软件ISP转为RGB数据如果是黑白相机就不需要转换格式但是ISP还有其它处理所以也需要分配这个buffer
pFrameBuffer = mvsdk.CameraAlignMalloc(FrameBufferSize, 16)
# 相机模式切换成连续采集
mvsdk.CameraSetTriggerMode(hCamera, 0)
# 手动曝光曝光时间30ms
mvsdk.CameraSetAeState(hCamera, 0)
mvsdk.CameraSetExposureTime(hCamera, 30 * 1000)
# 让SDK内部取图线程开始工作
mvsdk.CameraPlay(hCamera)
self.hCamera = hCamera
self.pFrameBuffer = pFrameBuffer
self.cap = cap
return True
def close(self):
if self.hCamera > 0:
mvsdk.CameraUnInit(self.hCamera)
self.hCamera = 0
mvsdk.CameraAlignFree(self.pFrameBuffer)
self.pFrameBuffer = 0
def grab(self):
# 从相机取一帧图片
hCamera = self.hCamera
pFrameBuffer = self.pFrameBuffer
try:
pRawData, FrameHead = mvsdk.CameraGetImageBuffer(hCamera, 200)
mvsdk.CameraImageProcess(hCamera, pRawData, pFrameBuffer, FrameHead)
mvsdk.CameraReleaseImageBuffer(hCamera, pRawData)
# windows下取到的图像数据是上下颠倒的以BMP格式存放。转换成opencv则需要上下翻转成正的
# linux下直接输出正的不需要上下翻转
if platform.system() == "Windows":
mvsdk.CameraFlipFrameBuffer(pFrameBuffer, FrameHead, 1)
# 此时图片已经存储在pFrameBuffer中对于彩色相机pFrameBuffer=RGB数据黑白相机pFrameBuffer=8位灰度数据
# 把pFrameBuffer转换成opencv的图像格式以进行后续算法处理
frame_data = (mvsdk.c_ubyte * FrameHead.uBytes).from_address(pFrameBuffer)
frame = np.frombuffer(frame_data, dtype=np.uint8)
frame = frame.reshape((FrameHead.iHeight, FrameHead.iWidth, 1 if FrameHead.uiMediaType == mvsdk.CAMERA_MEDIA_TYPE_MONO8 else 3) )
return frame
except mvsdk.CameraException as e:
if e.error_code != mvsdk.CAMERA_STATUS_TIME_OUT:
print("CameraGetImageBuffer failed({}): {}".format(e.error_code, e.message) )
return None
def main_loop():
# 枚举相机
DevList = mvsdk.CameraEnumerateDevice()
nDev = len(DevList)
if nDev < 1:
print("No camera was found!")
return
for i, DevInfo in enumerate(DevList):
print("{}: {} {}".format(i, DevInfo.GetFriendlyName(), DevInfo.GetPortType()))
cams = []
for i in map(lambda x: int(x), raw_input("Select cameras: ").split()):
cam = Camera(DevList[i])
if cam.open():
cams.append(cam)
while (cv2.waitKey(1) & 0xFF) != ord('q'):
for cam in cams:
frame = cam.grab()
if frame is not None:
frame = cv2.resize(frame, (640,480), interpolation = cv2.INTER_LINEAR)
cv2.imshow("{} Press q to end".format(cam.DevInfo.GetFriendlyName()), frame)
for cam in cams:
cam.close()
def main():
try:
main_loop()
finally:
cv2.destroyAllWindows()
main()

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#coding=utf-8
import cv2
import numpy as np
import mvsdk
import time
import platform
class App(object):
def __init__(self):
super(App, self).__init__()
self.pFrameBuffer = 0
self.quit = False
def main(self):
# 枚举相机
DevList = mvsdk.CameraEnumerateDevice()
nDev = len(DevList)
if nDev < 1:
print("No camera was found!")
return
for i, DevInfo in enumerate(DevList):
print("{}: {} {}".format(i, DevInfo.GetFriendlyName(), DevInfo.GetPortType()))
i = 0 if nDev == 1 else int(input("Select camera: "))
DevInfo = DevList[i]
print(DevInfo)
# 打开相机
hCamera = 0
try:
hCamera = mvsdk.CameraInit(DevInfo, -1, -1)
except mvsdk.CameraException as e:
print("CameraInit Failed({}): {}".format(e.error_code, e.message) )
return
# 获取相机特性描述
cap = mvsdk.CameraGetCapability(hCamera)
# 判断是黑白相机还是彩色相机
monoCamera = (cap.sIspCapacity.bMonoSensor != 0)
# 黑白相机让ISP直接输出MONO数据而不是扩展成R=G=B的24位灰度
if monoCamera:
mvsdk.CameraSetIspOutFormat(hCamera, mvsdk.CAMERA_MEDIA_TYPE_MONO8)
else:
mvsdk.CameraSetIspOutFormat(hCamera, mvsdk.CAMERA_MEDIA_TYPE_BGR8)
# 相机模式切换成连续采集
mvsdk.CameraSetTriggerMode(hCamera, 0)
# 手动曝光曝光时间30ms
mvsdk.CameraSetAeState(hCamera, 0)
mvsdk.CameraSetExposureTime(hCamera, 30 * 1000)
# 让SDK内部取图线程开始工作
mvsdk.CameraPlay(hCamera)
# 计算RGB buffer所需的大小这里直接按照相机的最大分辨率来分配
FrameBufferSize = cap.sResolutionRange.iWidthMax * cap.sResolutionRange.iHeightMax * (1 if monoCamera else 3)
# 分配RGB buffer用来存放ISP输出的图像
# 备注从相机传输到PC端的是RAW数据在PC端通过软件ISP转为RGB数据如果是黑白相机就不需要转换格式但是ISP还有其它处理所以也需要分配这个buffer
self.pFrameBuffer = mvsdk.CameraAlignMalloc(FrameBufferSize, 16)
# 设置采集回调函数
self.quit = False
mvsdk.CameraSetCallbackFunction(hCamera, self.GrabCallback, 0)
# 等待退出
while not self.quit:
time.sleep(0.1)
# 关闭相机
mvsdk.CameraUnInit(hCamera)
# 释放帧缓存
mvsdk.CameraAlignFree(self.pFrameBuffer)
@mvsdk.method(mvsdk.CAMERA_SNAP_PROC)
def GrabCallback(self, hCamera, pRawData, pFrameHead, pContext):
FrameHead = pFrameHead[0]
pFrameBuffer = self.pFrameBuffer
mvsdk.CameraImageProcess(hCamera, pRawData, pFrameBuffer, FrameHead)
mvsdk.CameraReleaseImageBuffer(hCamera, pRawData)
# windows下取到的图像数据是上下颠倒的以BMP格式存放。转换成opencv则需要上下翻转成正的
# linux下直接输出正的不需要上下翻转
if platform.system() == "Windows":
mvsdk.CameraFlipFrameBuffer(pFrameBuffer, FrameHead, 1)
# 此时图片已经存储在pFrameBuffer中对于彩色相机pFrameBuffer=RGB数据黑白相机pFrameBuffer=8位灰度数据
# 把pFrameBuffer转换成opencv的图像格式以进行后续算法处理
frame_data = (mvsdk.c_ubyte * FrameHead.uBytes).from_address(pFrameBuffer)
frame = np.frombuffer(frame_data, dtype=np.uint8)
frame = frame.reshape((FrameHead.iHeight, FrameHead.iWidth, 1 if FrameHead.uiMediaType == mvsdk.CAMERA_MEDIA_TYPE_MONO8 else 3) )
frame = cv2.resize(frame, (640,480), interpolation = cv2.INTER_LINEAR)
cv2.imshow("Press q to end", frame)
if (cv2.waitKey(1) & 0xFF) == ord('q'):
self.quit = True
def main():
try:
app = App()
app.main()
finally:
cv2.destroyAllWindows()
main()

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#coding=utf-8
import mvsdk
def main():
# 枚举相机
DevList = mvsdk.CameraEnumerateDevice()
nDev = len(DevList)
if nDev < 1:
print("No camera was found!")
return
for i, DevInfo in enumerate(DevList):
print("{}: {} {}".format(i, DevInfo.GetFriendlyName(), DevInfo.GetPortType()))
i = 0 if nDev == 1 else int(input("Select camera: "))
DevInfo = DevList[i]
print(DevInfo)
# 打开相机
hCamera = 0
try:
hCamera = mvsdk.CameraInit(DevInfo, -1, -1)
except mvsdk.CameraException as e:
print("CameraInit Failed({}): {}".format(e.error_code, e.message) )
return
# 获取相机特性描述
cap = mvsdk.CameraGetCapability(hCamera)
PrintCapbility(cap)
# 判断是黑白相机还是彩色相机
monoCamera = (cap.sIspCapacity.bMonoSensor != 0)
# 黑白相机让ISP直接输出MONO数据而不是扩展成R=G=B的24位灰度
if monoCamera:
mvsdk.CameraSetIspOutFormat(hCamera, mvsdk.CAMERA_MEDIA_TYPE_MONO8)
# 相机模式切换成连续采集
mvsdk.CameraSetTriggerMode(hCamera, 0)
# 手动曝光曝光时间30ms
mvsdk.CameraSetAeState(hCamera, 0)
mvsdk.CameraSetExposureTime(hCamera, 30 * 1000)
# 让SDK内部取图线程开始工作
mvsdk.CameraPlay(hCamera)
# 计算RGB buffer所需的大小这里直接按照相机的最大分辨率来分配
FrameBufferSize = cap.sResolutionRange.iWidthMax * cap.sResolutionRange.iHeightMax * (1 if monoCamera else 3)
# 分配RGB buffer用来存放ISP输出的图像
# 备注从相机传输到PC端的是RAW数据在PC端通过软件ISP转为RGB数据如果是黑白相机就不需要转换格式但是ISP还有其它处理所以也需要分配这个buffer
pFrameBuffer = mvsdk.CameraAlignMalloc(FrameBufferSize, 16)
# 从相机取一帧图片
try:
pRawData, FrameHead = mvsdk.CameraGetImageBuffer(hCamera, 2000)
mvsdk.CameraImageProcess(hCamera, pRawData, pFrameBuffer, FrameHead)
mvsdk.CameraReleaseImageBuffer(hCamera, pRawData)
# 此时图片已经存储在pFrameBuffer中对于彩色相机pFrameBuffer=RGB数据黑白相机pFrameBuffer=8位灰度数据
# 该示例中我们只是把图片保存到硬盘文件中
status = mvsdk.CameraSaveImage(hCamera, "./grab.bmp", pFrameBuffer, FrameHead, mvsdk.FILE_BMP, 100)
if status == mvsdk.CAMERA_STATUS_SUCCESS:
print("Save image successfully. image_size = {}X{}".format(FrameHead.iWidth, FrameHead.iHeight) )
else:
print("Save image failed. err={}".format(status) )
except mvsdk.CameraException as e:
print("CameraGetImageBuffer failed({}): {}".format(e.error_code, e.message) )
# 关闭相机
mvsdk.CameraUnInit(hCamera)
# 释放帧缓存
mvsdk.CameraAlignFree(pFrameBuffer)
def PrintCapbility(cap):
for i in range(cap.iTriggerDesc):
desc = cap.pTriggerDesc[i]
print("{}: {}".format(desc.iIndex, desc.GetDescription()) )
for i in range(cap.iImageSizeDesc):
desc = cap.pImageSizeDesc[i]
print("{}: {}".format(desc.iIndex, desc.GetDescription()) )
for i in range(cap.iClrTempDesc):
desc = cap.pClrTempDesc[i]
print("{}: {}".format(desc.iIndex, desc.GetDescription()) )
for i in range(cap.iMediaTypeDesc):
desc = cap.pMediaTypeDesc[i]
print("{}: {}".format(desc.iIndex, desc.GetDescription()) )
for i in range(cap.iFrameSpeedDesc):
desc = cap.pFrameSpeedDesc[i]
print("{}: {}".format(desc.iIndex, desc.GetDescription()) )
for i in range(cap.iPackLenDesc):
desc = cap.pPackLenDesc[i]
print("{}: {}".format(desc.iIndex, desc.GetDescription()) )
for i in range(cap.iPresetLut):
desc = cap.pPresetLutDesc[i]
print("{}: {}".format(desc.iIndex, desc.GetDescription()) )
for i in range(cap.iAeAlmSwDesc):
desc = cap.pAeAlmSwDesc[i]
print("{}: {}".format(desc.iIndex, desc.GetDescription()) )
for i in range(cap.iAeAlmHdDesc):
desc = cap.pAeAlmHdDesc[i]
print("{}: {}".format(desc.iIndex, desc.GetDescription()) )
for i in range(cap.iBayerDecAlmSwDesc):
desc = cap.pBayerDecAlmSwDesc[i]
print("{}: {}".format(desc.iIndex, desc.GetDescription()) )
for i in range(cap.iBayerDecAlmHdDesc):
desc = cap.pBayerDecAlmHdDesc[i]
print("{}: {}".format(desc.iIndex, desc.GetDescription()) )
main()

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python demo/readme.txt Normal file
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mvsdk.py: 相机SDK接口库参考文档 WindowsSDK安装目录\Document\MVSDK_API_CHS.chm
grab.py: 使用SDK采集图片并保存到硬盘文件
cv_grab.py: 使用SDK采集图片转换为opencv的图像格式

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#coding=utf-8
"""
Test script to help find optimal exposure settings for your GigE camera.
This script captures a single test image with different exposure settings.
"""
import os
import sys
import mvsdk
import numpy as np
import cv2
import platform
from datetime import datetime
# Add the python demo directory to path
sys.path.append('./python demo')
def test_exposure_settings():
"""
Test different exposure settings to find optimal values
"""
# Initialize SDK
try:
mvsdk.CameraSdkInit(1)
print("SDK initialized successfully")
except Exception as e:
print(f"SDK initialization failed: {e}")
return False
# Enumerate cameras
DevList = mvsdk.CameraEnumerateDevice()
nDev = len(DevList)
if nDev < 1:
print("No camera was found!")
return False
print(f"Found {nDev} camera(s):")
for i, DevInfo in enumerate(DevList):
print(f" {i}: {DevInfo.GetFriendlyName()} ({DevInfo.GetPortType()})")
# Use first camera
DevInfo = DevList[0]
print(f"\nSelected camera: {DevInfo.GetFriendlyName()}")
# Initialize camera
try:
hCamera = mvsdk.CameraInit(DevInfo, -1, -1)
print("Camera initialized successfully")
except mvsdk.CameraException as e:
print(f"CameraInit Failed({e.error_code}): {e.message}")
return False
try:
# Get camera capabilities
cap = mvsdk.CameraGetCapability(hCamera)
monoCamera = (cap.sIspCapacity.bMonoSensor != 0)
print(f"Camera type: {'Monochrome' if monoCamera else 'Color'}")
# Get camera ranges
try:
exp_min, exp_max, exp_step = mvsdk.CameraGetExposureTimeRange(hCamera)
print(f"Exposure time range: {exp_min:.1f} - {exp_max:.1f} μs")
gain_min, gain_max, gain_step = mvsdk.CameraGetAnalogGainXRange(hCamera)
print(f"Analog gain range: {gain_min:.2f} - {gain_max:.2f}x")
except Exception as e:
print(f"Could not get camera ranges: {e}")
exp_min, exp_max = 100, 100000
gain_min, gain_max = 1.0, 4.0
# Set output format
if monoCamera:
mvsdk.CameraSetIspOutFormat(hCamera, mvsdk.CAMERA_MEDIA_TYPE_MONO8)
else:
mvsdk.CameraSetIspOutFormat(hCamera, mvsdk.CAMERA_MEDIA_TYPE_BGR8)
# Set camera to continuous capture mode
mvsdk.CameraSetTriggerMode(hCamera, 0)
mvsdk.CameraSetAeState(hCamera, 0) # Disable auto exposure
# Start camera
mvsdk.CameraPlay(hCamera)
# Allocate frame buffer
FrameBufferSize = cap.sResolutionRange.iWidthMax * cap.sResolutionRange.iHeightMax * (1 if monoCamera else 3)
pFrameBuffer = mvsdk.CameraAlignMalloc(FrameBufferSize, 16)
# Create test directory
if not os.path.exists("exposure_tests"):
os.makedirs("exposure_tests")
print("\nTesting different exposure settings...")
print("=" * 50)
# Test different exposure times (in microseconds)
exposure_times = [500, 1000, 2000, 5000, 10000, 20000] # 0.5ms to 20ms
analog_gains = [1.0] # Start with 1x gain
test_count = 0
for exp_time in exposure_times:
for gain in analog_gains:
# Clamp values to valid ranges
exp_time = max(exp_min, min(exp_max, exp_time))
gain = max(gain_min, min(gain_max, gain))
print(f"\nTest {test_count + 1}: Exposure={exp_time/1000:.1f}ms, Gain={gain:.1f}x")
# Set camera parameters
mvsdk.CameraSetExposureTime(hCamera, exp_time)
try:
mvsdk.CameraSetAnalogGainX(hCamera, gain)
except:
pass # Some cameras might not support this
# Wait a moment for settings to take effect
import time
time.sleep(0.1)
# Capture image
try:
pRawData, FrameHead = mvsdk.CameraGetImageBuffer(hCamera, 2000)
mvsdk.CameraImageProcess(hCamera, pRawData, pFrameBuffer, FrameHead)
mvsdk.CameraReleaseImageBuffer(hCamera, pRawData)
# Handle Windows image flip
if platform.system() == "Windows":
mvsdk.CameraFlipFrameBuffer(pFrameBuffer, FrameHead, 1)
# Convert to numpy array
frame_data = (mvsdk.c_ubyte * FrameHead.uBytes).from_address(pFrameBuffer)
frame = np.frombuffer(frame_data, dtype=np.uint8)
if FrameHead.uiMediaType == mvsdk.CAMERA_MEDIA_TYPE_MONO8:
frame = frame.reshape((FrameHead.iHeight, FrameHead.iWidth))
else:
frame = frame.reshape((FrameHead.iHeight, FrameHead.iWidth, 3))
# Calculate image statistics
mean_brightness = np.mean(frame)
max_brightness = np.max(frame)
# Save image
filename = f"exposure_tests/test_{test_count+1:02d}_exp{exp_time/1000:.1f}ms_gain{gain:.1f}x.jpg"
cv2.imwrite(filename, frame)
# Provide feedback
status = ""
if mean_brightness < 50:
status = "TOO DARK"
elif mean_brightness > 200:
status = "TOO BRIGHT"
elif max_brightness >= 255:
status = "OVEREXPOSED"
else:
status = "GOOD"
print(f" → Saved: {filename}")
print(f" → Brightness: mean={mean_brightness:.1f}, max={max_brightness:.1f} [{status}]")
test_count += 1
except mvsdk.CameraException as e:
print(f" → Failed to capture: {e.message}")
print(f"\nCompleted {test_count} test captures!")
print("Check the 'exposure_tests' directory to see the results.")
print("\nRecommendations:")
print("- Look for images marked as 'GOOD' - these have optimal exposure")
print("- If all images are 'TOO BRIGHT', try lower exposure times or gains")
print("- If all images are 'TOO DARK', try higher exposure times or gains")
print("- Avoid 'OVEREXPOSED' images as they have clipped highlights")
# Cleanup
mvsdk.CameraAlignFree(pFrameBuffer)
finally:
# Close camera
mvsdk.CameraUnInit(hCamera)
print("\nCamera closed")
return True
if __name__ == "__main__":
print("GigE Camera Exposure Test Script")
print("=" * 40)
print("This script will test different exposure settings and save sample images.")
print("Use this to find the optimal settings for your lighting conditions.")
print()
success = test_exposure_settings()
if success:
print("\nTesting completed successfully!")
else:
print("\nTesting failed!")
input("Press Enter to exit...")