Files | |
darknet_01_inference_images.cpp | |
This application will print to STDOUT details on each object detected in an image. | |
darknet_02_display_annotated_images.cpp | |
This application will display processed images in a GUI window. | |
darknet_03_display_videos.cpp | |
This application will display one or more videos at the frame rate stored in the video file. | |
darknet_04_process_videos.cpp | |
This application will process one or more videos as fast as possible on a single thread and save a new output video to disk. | |
darknet_05_process_videos_multithreaded.cpp | |
This application will process one or more videos as fast as possible using multiple threads and save a new output video to disk. | |
darknet_06_images_to_json.cpp | |
This application will call predict() on an image or images and store the results in a JSON file. | |
darknet_07_display_rtsp_stream.cpp | |
This application will read from a RTP stream, run the video through Darknet/YOLO, and display the results. | |
darknet_08_display_webcam.cpp | |
This application will read from a webcam, run the video through Darknet/YOLO, and display the results. | |
darknet_09_keypoints_images.cpp | |
This application uses a specific neural network that follows the MSCOCO-style keypoints to show "skeletons" over people detected in images. | |
darknet_10_keypoints_videos.cpp | |
This application combines the functionality of darknet_03_display_videos and darknet_09_keypoints_images. | |