1. Introduction Tiga Device refers to a family of embedded camera modules and industrial imaging devices commonly used in machine vision, medical imaging, robotics, and surveillance. The Tiga Device Camera Software is the firmware/driver stack and user-space toolkit that enables host systems (Linux, Windows, or RTOS) to capture, process, and stream video from Tiga imaging sensors.
This guide covers software version 3.x (unified stack) and applies to Tiga USB3 Vision, GigE, and MIPI CSI-2 models. The Tiga software stack consists of four layers:
cam.stop(); return 0; # Install ROS2 package sudo apt install ros-humble-tiga-camera Launch node with parameters ros2 run tiga_camera driver_node --ros-args -p device_id:=0 -p frame_rate:=30.0 -p camera_info_url:=file:///path/to/calib.yaml tiga device camera software
dev.stop_stream() #include <tiga/tiga.h> int main() tiga::Camera cam(0); cam.set_control("ExposureTime", 1000); // 1 ms cam.set_control("Gain", 12.0f); cam.start();
while True: ret, frame = cap.read() if not ret: break cv2.imshow("Tiga Camera", frame) if cv2.waitKey(1) & 0xFF == ord('q'): break This guide covers software version 3
| Layer | Component | Purpose | |-------|-----------|---------| | | tiga_usb.ko (Linux), tiga_gige.sys (Win) | Low-level communication, DMA, interrupts | | Middleware | libtiga (C/C++), TigaCore (.NET) | Device discovery, control, buffer management | | Application SDK | Python bindings, ROS2 node, OpenCV plugin | User application development | | Tools | tiga-viewer , tiga-config , tiga-fw-update | Diagnostics, configuration, firmware updates |
tiga::FrameBuffer buffer(1920, 1080, tiga::Format::Mono8); for (int i = 0; i < 100; ++i) cam.grab(buffer); process_image(buffer.data(), buffer.size()); int main() tiga::Camera cam(0)
Calibration files are stored in /etc/tiga/calib_<serial>.bin and loaded automatically. 6.1 Python (with OpenCV integration) import cv2 import tiga Initialize device dev = tiga.Device(0) dev.set_resolution(1920, 1080) dev.set_pixel_format(tiga.PixelFormat.BGR8) dev.start_stream() OpenCV capture wrapper cap = tiga.opencv_capture(dev)