Darknet/YOLO v3.0-177-gfa2353b
Object Detection Framework
 
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src-examples Directory Reference
Directory dependency graph for src-examples:
src-examples

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.