How to Capture an Image Using OpenCV and Ghost32 '1'

Capturing images from cameras is a common task in computer vision applications, especially when working with machine learning algorithms that require large datasets. In this article, we will cover how to capture an image using the popular open source Computer Vision Library (OpenCV) on Windows 7 operating system.

System Requirements:

- Operating System: Windows 7 or later

- OpenCV installed

Step-by-Step Guide:

1. Install OpenCV from official website if not already done.

2. Import necessary modules in your python script using the following line:

```python

import cv2

```

3. Capture an image from default camera (0th index) or a specified USB camera using the below code snippet:

```python

cap = cv2.VideoCapture(0)

while True:

ret, frame = cap.read()

if not ret:

break

cv2.imshow('frame', frame)

key = cv2.waitKey(1 & 0xFF)

# Press 'c' to capture an image and press 'q' then Enter to exit

elif key == ord('c'):

filename = 'image_' + str(i) + '.jpg'

cv2.imwrite(filename, frame)

print(''INFO' Saved snapshot as '{}''.format(filename))

else:

break

cap.release()

cv2.destroyAllWindows()

```

4. The above code will capture frames from the default camera (0th index), display them in a window and save each press of 'c' key with current timestamped filename.

Step-by-5: Serving Captured Image

To serve the captured image over local network, you need to use Python's built-in http.server module or any other web server software like Apache2. Here is an example on how it can be done using basic http server:

1. Navigate into directory containing your python script and run following command in terminal:

```bash

python -mhttp.server 8000 &

```

2. Now open a browser at `127.0.0.1:8000` (or the IP address assigned to your machine) followed by image filename you want to view, for example http://localhost:8000/image_001.jpg

Troubleshooting Tips:

- If faced with an error like 'Errno 32 Broken pipe', it might be due to closed camera or network issue. Try closing and reopening the application.

- Make sure OpenCV is properly installed on your system.

References:

'1' W.K.Pratt, J.Cane, H.c.Andrews(1969). Hadamard Transform Image Coding Proc.IEEE 57 (6): 586–589

Hope this article was helpful! If you have any questions or queries related to capturing images using OpenCV and Ghost32 please feel free to ask in comments below.

How to capture image using ghost 32