ai-hik-tracking Control DMX Laser using Deep Learning object detection Playing Card Control keys Key Effect Num 1-9 Change YOLO Profile Ctrl+Num 1-9 Change YOLO Profile and backend between darknet / OpenCV p OpenCV DNN toggle FP32 / FP16 Ctrl+s Save current frame with recognize result Ctrl+c Toggle using CPU / GPU preprocess b Preview split / black result z reduce preprocess alpha 0.05 x increase preprocess alpha 0.05 c reduce preprocess beta 5 v increase preprocess beta 5 g reduce drawing approx thresh 0.001 h increase drawing approx thresh 0.001 F1 Change split analyize mode Shared Control keys Key Effect Num 1-9 Change Palcon-D PTZ Preset Shift+Num 1-9 Save Current Position to Palcon-D PTZ Preset U/D/L/R Cal Mode: Move Laser i/j/k/l Cal Mode: Move PTZ Ctrl+z Pop last cal result +/- zoom in/zoom out laser Escape Switch between cal / test mode Training Data Refereence https://github.com/okmd/playing-card-dataset.git Use components https://github.com/magicbear/py-hikevent Data Prepare Toolkit https://github.com/spytensor/prepare_detection_dataset.git Project Reference https://github.com/AlexeyAB/darknet https://github.com/facebookresearch/detectron2 https://github.com/EdjeElectronics/OpenCV-Playing-Card-Detector https://github.com/a-arbabian/playing-cards-object-detection