Difference between revisions of "Raspberry Pi 5110 Mini LCD 84*48 PCD8544 Usage"
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Of course, geek players can also program by themselves to display any content. this Mini LCD screen is with backlit. When the Raspberry Pi is used as a server, you can also see the operation condition of Raspberry Pi at night.<br> | Of course, geek players can also program by themselves to display any content. this Mini LCD screen is with backlit. When the Raspberry Pi is used as a server, you can also see the operation condition of Raspberry Pi at night.<br> | ||
Mini LCD screen is compatible with Raspberry Pi Model B+ and B.<br> | Mini LCD screen is compatible with Raspberry Pi Model B+ and B.<br> | ||
| − | [[File: | + | [[File:5110display.png]]<br> |
| − | + | ||
=='''For C User'''== | =='''For C User'''== | ||
If you are a C user, please test and use PCD8544 LCD according to the following steps:<br> | If you are a C user, please test and use PCD8544 LCD according to the following steps:<br> | ||
| Line 14: | Line 14: | ||
sudo ./build | sudo ./build | ||
</pre> | </pre> | ||
| − | ===Step 2: Copy | + | ===Step 2: Copy Cpu_show.tar.gz to /home and extract it=== |
| + | Download the Cpu_show.tar.gz and then unzip it | ||
<pre> | <pre> | ||
| − | cp yourpath/ | + | sudo cp yourpath/Cpu_show.tar.gz /home |
| − | tar xvf | + | sudo tar xvf Cpu_show.tar.gz |
</pre> | </pre> | ||
| + | |||
===Step 3: Compile files=== | ===Step 3: Compile files=== | ||
<pre> | <pre> | ||
cd /home/cpu_show | cd /home/cpu_show | ||
| − | sudo ./compile | + | sudo ./compile.sh |
| + | </pre> | ||
Step 4: Run the program | Step 4: Run the program | ||
| + | <pre> | ||
sudo ./cpushow | sudo ./cpushow | ||
</pre> | </pre> | ||
| Line 33: | Line 37: | ||
Modify the line 52, '''int contrast = 45;'''<br> | Modify the line 52, '''int contrast = 45;'''<br> | ||
45 is the default contrast, if the character LCD display is too light, set this value increases, decreases if the character LCD display is too dark. Recommended stepping value is 5. After the changes are complete, re-compile the code, and then run. <br> | 45 is the default contrast, if the character LCD display is too light, set this value increases, decreases if the character LCD display is too dark. Recommended stepping value is 5. After the changes are complete, re-compile the code, and then run. <br> | ||
| + | |||
=='''For Python User'''== | =='''For Python User'''== | ||
If you are a Python user, please test PCD8544 LCD according to the following steps:<br> | If you are a Python user, please test PCD8544 LCD according to the following steps:<br> | ||
===Step 1: Download example code=== | ===Step 1: Download example code=== | ||
<pre> | <pre> | ||
| − | git clone https://github.com/ | + | git clone https://github.com/sunfounder/Adafruit_Nokia_LCD.git |
</pre> | </pre> | ||
| + | |||
===Step 2: Configure the base environment=== | ===Step 2: Configure the base environment=== | ||
<pre> | <pre> | ||
| Line 46: | Line 52: | ||
sudo apt-get install python-imaging | sudo apt-get install python-imaging | ||
</pre> | </pre> | ||
| − | ===Step 3: | + | ===Step 3:Run the Python program=== |
<pre> | <pre> | ||
cd examples | cd examples | ||
| − | |||
| − | |||
| − | |||
| − | |||
</pre> | </pre> | ||
| − | |||
| − | |||
| − | |||
<pre> | <pre> | ||
sudo python image.py | sudo python image.py | ||
</pre> | </pre> | ||
Press Enter, you should see a cat displayed on PCD8544 LCD.<br> | Press Enter, you should see a cat displayed on PCD8544 LCD.<br> | ||
| − | Also you can modify these two files of animate.py and shapes.py exactly in the same way as image.py.Run and check the result. | + | Also you can modify these two files of animate.py and shapes.py exactly in the same way as image.py.Run and check the result.<br> |
| − | [http:// | + | [[File:Pas.png]] |
| + | |||
| + | =='''Resource'''== | ||
| + | [http://wiki.sunfounder.cc/images/7/78/PCD8544_datasheet.pdf PCD8544 datasheet][[File:PDF.jpg]]<br> | ||
| + | [http://wiki.sunfounder.cc/images/5/5b/Cpu_show.tar.gz Cpu_show][[File:ZIP.jpg]] | ||
Latest revision as of 07:40, 20 March 2017
Contents
Introduction
With a resolution of 84 * 48, this Mini LCD screen display the CPU utilization and the memory occupancy rate that runs on your Raspberry Pi through Raspberry Pi internal Python programming. It is clear at a glance.
Of course, geek players can also program by themselves to display any content. this Mini LCD screen is with backlit. When the Raspberry Pi is used as a server, you can also see the operation condition of Raspberry Pi at night.
Mini LCD screen is compatible with Raspberry Pi Model B+ and B.
For C User
If you are a C user, please test and use PCD8544 LCD according to the following steps:
Step1: Install wiringPi
cd /home git clone git://git.drogon.net/wiringPi cd wiringPi sudo ./build
Step 2: Copy Cpu_show.tar.gz to /home and extract it
Download the Cpu_show.tar.gz and then unzip it
sudo cp yourpath/Cpu_show.tar.gz /home sudo tar xvf Cpu_show.tar.gz
Step 3: Compile files
cd /home/cpu_show sudo ./compile.sh
Step 4: Run the program
sudo ./cpushow
NOTE：
Due to the contrast of each LCD are different, if you found the content displayed too dark or too light, you need to modify the contrast variables of pcd8544_rpi.c, and then recompile and run to see the effect of changes !
vim pcd8544_rpi.c
Modify the line 52, int contrast = 45;
45 is the default contrast, if the character LCD display is too light, set this value increases, decreases if the character LCD display is too dark. Recommended stepping value is 5. After the changes are complete, re-compile the code, and then run.
For Python User
If you are a Python user, please test PCD8544 LCD according to the following steps:
Step 1: Download example code
git clone https://github.com/sunfounder/Adafruit_Nokia_LCD.git
Step 2: Configure the base environment
cd Adafruit_Nokia_LCD sudo apt-get install python-dev sudo python setup.py install sudo apt-get install python-imaging
Step 3:Run the Python program
cd examples
sudo python image.py
Press Enter, you should see a cat displayed on PCD8544 LCD.
Also you can modify these two files of animate.py and shapes.py exactly in the same way as image.py.Run and check the result.
