Metadata-Version: 2.1
Name: seeed-python-mlx90640
Version: 1.0.2
Summary: Python library for the Grove - Thermal Imaging Camera(MLX90640) is an thermal sensor. 
Home-page: https://github.com/hansonCc/Seeed_Python_MLX90640
Author: Hanson
Author-email: 595355940@qq.com
License: MIT
Description: # seeed MLX90640
        
        The MLX90640 is a fully calibrated 32x24 pixels IR array in an industry standard 4-lead TO39 package with digital interface The MLX90640 contains 768 FIR pixels. An ambient sensor is integrated to measure the ambient temperature of the chip and supply sensor to measure the VDD. The outputs of all sensors IR, Ta and VDD are stored in internal RAM and are accessible through I2C.
        
        # Dependencies
        
        This driver depends on:
        - [***grove.py***](https://github.com/Seeed-Studio/grove.py)
        
        This is easy to install with the following command.
         ```
        curl -sL https://github.com/Seeed-Studio/grove.py/raw/master/install.sh | sudo bash -s -
         ```
         
        ## Installing from PyPI
        
        On supported GNU/Linux systems like the Raspberry Pi, you can install the driver locally from PyPI. To install for current user:
        
        ```
        pip3 install seeed-python-mlx90640
        ```
        
        To install system-wide (this may be required in some cases):
        
        ```
        sudo pip3 install seeed-python-mlx90640
        ```
        
        ## Usage Notes
        
        First, Check the corresponding i2c number of the board:
        ```
        (.env) pi@raspberrypi:~ $ ls /dev/i2c*
        /dev/i2c-1
        ```
        
        Check if the i2c device works properly， 0x33 is the MLX90640 i2c address.
        ```
        
        pi@raspberrypi:~/Seeed_Python_SGP30 $ i2cdetect -y -r 1
             0  1  2  3  4  5  6  7  8  9  a  b  c  d  e  f
        00:          -- -- -- -- -- -- -- -- -- -- -- -- --
        10: -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --
        20: -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --
        30: -- -- -- 33 -- -- -- -- -- -- -- -- -- -- -- --
        40: -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --
        50: -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --
        60: -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --
        70: -- -- -- -- -- -- -- --
        
        ```
        
        ## initialize the sersor object:
        
        Initialize the sersor object and config the sersor refresh rate.
        
        ```python
        import seeed_mlx90640
        sensor = seeed_mlx90640.grove_mxl90640()
        sensor.SetRefreshRate(0x04)
        # 0x00 0.5HZ
        # 0x01 1HZ
        # 0x02 2HZ
        # 0x03 4HZ(recommend for raspberry)
        # 0x04 8HZ
        # 0x05 16HZ
        # 0x06 32HZ
        # 0x07 64HZ
        ```
        
        ## Reading from the Sensor
        
        To read from the sensor:
        
        ```python
        Pixel = [0]*801
        for i in range(0,801):
             Pixel[i] = sensor.getCompensatedPixData(i//32,i%32)
        del Pixel[0:33]
        print(len(Pixel))  #24x32 pixel
        print(Pixel)
        ```
        
        If you're just using the MLX90640 on iic.You can add content that below to the config.txt.
        
        ```bash
        dtparam=i2c_arm=on,i2c_arm_baudrate=1000000
        ```  
        
        This will give you a framerate of - at most - 32FPS.
        
        and If you have other iic device ,maybe you can add content that below to the config.txt to get the fastest rate recommended for compatibility
        
        ```bash
        dtparam=i2c_arm=on,i2c_arm_baudrate=400000
        ```  
        This will give you a framerate of - at most - 8FPS.
        
        ## Contributing
        
        If you have any good suggestions or comments, you can send issues or PR us.
        
Keywords: seeed grove mlx90640 thermal Camera sensor i2c hardware
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: System :: Hardware
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Description-Content-Type: text/markdown
