FLIR/DJI IR Camera Data Parser, Python Version
Parser infrared camera data as NumPy data.
Usage
- Clone this respository and
cd thermal_parser. - Run
pip install -r requirements.txtin the console - If you run this project code on Linux, make sure exiftool is installed first or run
sudo apt-get install libimage-exiftool-perlin the console to install exiftool. - Copy
thermal.pyfile to project directory. - Copy
pluginsfolder to same directory. - Try the following code:
win 64
import numpy as np
from thermal import Thermal
thermal = Thermal(
dirp_filename='plugins/dji_thermal_sdk_v1.1_20211029/windows/release_x64/libdirp.dll',
dirp_sub_filename='plugins/dji_thermal_sdk_v1.1_20211029/windows/release_x64/libv_dirp.dll',
iirp_filename='plugins/dji_thermal_sdk_v1.1_20211029/windows/release_x64/libv_iirp.dll',
exif_filename='plugins/exiftool-12.35.exe',
dtype=np.float32,
)
temperature = thermal.parse_dirp2(image_filename='images/DJI_H20T.jpg')
assert isinstance(temperature, np.ndarray)linux
import numpy as np
from thermal import Thermal
thermal = Thermal(
dirp_filename='plugins/dji_thermal_sdk_v1.1_20211029/linux/release_x64/libdirp.so',
dirp_sub_filename='plugins/dji_thermal_sdk_v1.1_20211029/linux/release_x64/libv_dirp.so',
iirp_filename='plugins/dji_thermal_sdk_v1.1_20211029/linux/release_x64/libv_iirp.so',
exif_filename=None,
dtype=np.float32,
)
temperature = thermal.parse_dirp2(image_filename='images/DJI_H20T.jpg')
assert isinstance(temperature, np.ndarray)Supported IR Camera
- DJI H20T
- DJI XT2
- DJI XTR
- DJI XTS
- FLIR
- FLIR AX8
- FLIR B60
- FLIR E40
- FLIR T640
- M2EA / MAVIC2-ENTERPRISE-ADVANCED / "御"2 行业进阶版
References
- DJI Thermal SDK The DJI Thermal SDK enables you to process R-JPEG (Radiometric JPEG) images which were captured by DJI infrared camera products.
- Thermal Image Analysis A tool for analyzing and annotating thermal images.
- Base codes for Thermography A python package for decoding and common processing for thermographs / thermograms
- thermography This repository contains the implementation of a feasibility study for automatic detection of defected solar panel modules.
