From 7a245d80b468a32280278bddbeba703caf202f5d Mon Sep 17 00:00:00 2001 From: avi951 Date: Fri, 19 Apr 2024 16:01:21 +0530 Subject: [PATCH] Camera-Guide For Vaaman/Axon OV5647 / IMX219 Camera Supported --- source/_static/images/Camera_1.webp | Bin 0 -> 18506 bytes source/_static/images/Camera_2.webp | Bin 0 -> 21194 bytes source/_static/images/Camera_3.webp | Bin 0 -> 7922 bytes source/_static/images/Camera_4.webp | Bin 0 -> 20800 bytes source/_static/images/Camera_guide_0.webp | Bin 0 -> 36184 bytes source/_static/images/Overlays_1.webp | Bin 0 -> 11926 bytes source/_static/images/Overlays_2.webp | Bin 0 -> 11390 bytes source/_static/images/Overlays_3.webp | Bin 0 -> 25046 bytes .../images/python-script-camera-frame.webp | Bin 0 -> 13270 bytes .../images/python-script-save-image.webp | Bin 0 -> 23360 bytes source/accessory-raspi-cam.rst | 220 ++++++++++++++++++ 11 files changed, 220 insertions(+) create mode 100644 source/_static/images/Camera_1.webp create mode 100644 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+24,223 @@ Pi Camera documentation Buy the `Raspberry Pi Camera Module v2 `_. + +| +####################### +Vaaman Camera Guide +####################### + +1. Enable overlays options sutiable for your camera. +2. You can setup camera using cheese application or python source. + +.. note:: + + If you do not have cheese application in your system, you can use camera by python source. + + +Pre-Requisites +--------------- +- Camera ( OV5647 / IMX219 ) +- FPC50 15 Pin 1mm Pitch Cable + +Enable Overlays In Vaaman / Axon +------------------------ + +**Steps to follow for Configuration** + +1. Open a terminal window(``Ctrl+Alt+T``). + +2. Run command ``sudo vicharak-config`` in it. + +3. Select ``Overlays`` options in it by pressing ``enter`` key. + + .. image:: ./_static/images/Overlays_1.webp + :width: 50% + +4. You will see Warning Page, click on ``yes`` and select ``Manage Overlays`` options. + + .. image:: ./_static/images/Overlays_2.webp + :width: 50% + +5. Select overlays as per your camera part number ``( OV5647 / IMX219 )`` by pressing ``spacebar`` on keyboard, then select ``Ok``. + + .. image:: ./_static/images/Overlays_3.webp + :width: 50% + +6. To return back to terminal, press the ``Esc`` key until you exit from it. + +7. In order to enable your configuration, Restart your computer or Run command ``sudo reboot`` in terminal. + +.. note:: + Make sure that whenever you are going to connect Camera, Device shoule be power off. + +Setup +------ +.. tab-set:: + + .. tab-item:: Cheese Application + + 1. Attach the camera along with FPC50 15 Pin 1mm pitch cable to the CSI connector. + + .. image:: ./_static/images/Camera_guide_0.webp + :width: 50% + + 2. Open the Cheese application in your Ubuntu Linux operating system. + + .. image:: ./_static/images/Camera_1.webp + :width: 50% + + 3. You will be shown Cheese camera interface. + + 4. You have to click on hamburger button located at top right side. + + 5. Click on ``Preferences`` and select ``rkisp_mainpath`` in Device option. + + .. image:: ./_static/images/Camera_2.webp + :width: 50% + + + .. image:: ./_static/images/Camera_3.webp + :width: 50% + + 6. Click on a webcam button in the middle of the bottom panel, or press the ``spacebar`` key, to take the photo. + + .. image:: ./_static/images/Camera_4.webp + :width: 50% + + 7. There will be a short countdown, followed by a flash, and the photo will appear in the photo stream. + + 8. You can use camera as Photo mode and Video mode as well. + + .. note:: + + In case above steps do not work, Follow below steps. + + 1. Open a terminal window(``Ctrl+Alt+T``). + + 2. To open cheese application, Run command ``sudo cheese``. + + + .. tab-item:: Python Source + + | + **Introduction** + + This documentation provides instructions on how to run the Python to open the camera frame and capture an image using OpenCV. + + | + **Pre-Requisites** + + + 1. Python3 installed on your system. + + 2. OpenCV library installed (`opencv-python`). + + 3. Any Text Editor Software like, Vim, gedit, nano etc. + + + To Install Vim: + + .. code:: + + sudo apt update + sudo apt install vim + + To Install Gedit: + + .. code:: + + sudo apt update + sudo apt-get install gedit + + | + **Setup** + + + 1. Attach the camera along with FPC50 15 Pin 1mm pitch cable to the CSI connector. + + .. image:: ./_static/images/Camera_guide_0.webp + :width: 50% + + 2. Install Python if not already installed. You can download Python from the official website: `Python Downloads `__. + + for Debian-based systems (like Ubuntu): + + .. code:: + + sudo apt update + sudo apt install python3-pip + + 3. Install the OpenCV library using pip + + for Debian-based systems (like Ubuntu): + + .. code:: + + pip install opencv-python + + | + **Execution of Program** + + 1. Open a terminal window(``Ctrl+Alt+T``). + + 2. To create a (``.py``) file in vim editor, Run command ``vim .py`` in terminal. + + 3. Copy this below content into the file and paste it by pressing ``Ctrl + Shift + v``, then press ``Esc`` and to save this file, type ``:wq``. + + .. code:: + + # !/bin/env python3 + import cv2 + cap = cv2.VideoCapture(0) + while True: + ret, frame = cap.read() + cv2.imshow('frame', frame) + if cv2.waitKey(1) & 0xFF == ord('q'): + break + # After the loop release the cap object + cap.release() + # Destroy all the windows + cv2.destroyAllWindows() + + 4. Open a terminal window(``Ctrl+Alt+T``). + + 5. Navigate to the directory where your Python program is located using the ``cd`` command. + + 6. Run Python program using the following command: + + .. code:: + + python3 .py + + If you have multiple versions of Python installed, ensure you use ``python3`` to run the program for Python 3.x. + + + | + **Expected Behavior** + + + 1. Upon running the program, the camera frame will open. + + .. image:: ./_static/images/python-script-camera-frame.webp + :alt: Image Description + :width: 650 + + 2. Press the ``Ctrl+S`` key on your keyboard to capture an image. + + .. image:: ./_static/images/python-script-save-image.webp + :alt: Image Description + :width: 650 + + 3. The captured image will be saved in the current directory unless the directory location has been changed. + + 4. Press the key ``Q`` on your keyboard to exit the camera frame. + + + | + **Troubleshooting** + + + - If you encounter any errors related to missing modules or libraries, ensure that Python and OpenCV are properly installed on your system. + - If the camera frame does not open or the program does not behave as expected, check for any + errors in the terminal output and review your program for potential issues.