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https://github.com/namato/micropython-ov2640
A MicroPython class for the ov2640 camera.
https://github.com/namato/micropython-ov2640
Last synced: about 16 hours ago
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A MicroPython class for the ov2640 camera.
- Host: GitHub
- URL: https://github.com/namato/micropython-ov2640
- Owner: namato
- License: mit
- Created: 2017-05-30T07:22:00.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2022-10-05T13:34:06.000Z (about 2 years ago)
- Last Synced: 2024-04-22T12:36:02.925Z (7 months ago)
- Language: Python
- Size: 8.79 KB
- Stars: 105
- Watchers: 12
- Forks: 24
- Open Issues: 8
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
- awesome-mpython - micropython-ov2640 - MicroPython class for OV2640 camera. (精选驱动库 / 传感器)
- awesome-micropython - micropython-ov2640 - MicroPython class for OV2640 camera. (Libraries / Sensors)
README
# MicroPython class for OV2640 Camera
This is a basic interface to the [ArduCAM OV2640](http://www.arducam.com/camera-modules/2mp-ov2640/) under MicroPython for the ESP8266. I wrote this because I could not find any good camera interfaces with MicroPython on the ESP8266.
Using this class you can:
* Initiate still pictures up to 1600x1200 resolution
* Read them from the camera
* Save them to flash on the ESP8266
After saving the image you can use other modules to post it to a REST API,
or save a (short) history of pictures on the flash for later retrieval.
## Usage - Hardware Setup
This particular camera has both an i2c and spi interface for setup and
getting data on/off the camera. A good way to wire up the camera to
the ESP8266 is as follows (note Vcc and GND pins are not included here):
Camera Pin | ESP8266 Pin |
| --------- | ------------ |
| CS | GPIO2 |
| MOSI | GPIO13 |
| MISO | GPIO12 |
| SCK | GPIO14 |
| SDA | GPIO4 |
| SCL | GPIO5 |
## Usage - Software
First upload the module 'ov2640.py' into the root filesystem on the
ESP8266 board you are using. The [ampy](https://github.com/adafruit/ampy)
tool from Adafruit is a useful tool for doing that. Together with
[esptool](https://github.com/espressif/esptool), you can re-flash your
board and load the code here in one shot with these commands.
First download the latest MicroPython [image from here](http://micropython.org/download#esp8266).
```
sudo esptool.py --port /dev/ttyUSB0 erase_flash
sudo esptool.py --port /dev/ttyUSB0 --baud 460800 write_flash --flash_size=detect 0 ~/Downloads/esp8266-20170526-v1.9.bin
git clone https://github.com/namato/micropython-ov2640
cd micropython-ov2640
sudo ampy -p /dev/ttyUSB0 put boot.py
sudo ampy -p /dev/ttyUSB0 put main.py
sudo ampy -p /dev/ttyUSB0 put ov2640_constants.py
sudo ampy -p /dev/ttyUSB0 put ov2640_hires_constants.py
sudo ampy -p /dev/ttyUSB0 put ov2640_lores_constants.py
sudo ampy -p /dev/ttyUSB0 put ov2640.py
```
Then initialize and capture still frames using code like this. The included `main.py` contains an example.
```
import ov2640
cam = ov2640.ov2640()
nbytes = cam.capture_to_file("/image.jpg")
```
You can then retrieve the image off of the board, upload it to a server, etc.
A good way to retrieve files for testing/verification is
[rshell](https://github.com/dhylands/rshell).
```
sudo rshell -p /dev/ttyUSB0
Connecting to /dev/ttyUSB0 ...
Welcome to rshell. Use Control-D to exit.
/home/namato/micropython-ov2640>
/home/namato/micropython-ov2640> cp /image2.jpg .
```
This will copy the newly created image locally for viewing.
## Credits
The original driver source from Arducam was instrumental in the creation of this pure
MicroPython version.
The overall project was inspired by
[esparducam](https://johan.kanflo.com/building-the-esparducam/), but
getting this to work doesn't require any SMD soldering. :)