VideoPipe/samples at master · sherlockchou86/VideoPipe

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Name		Name	Last commit message	Last commit date
parent directory ..
1-1-1_sample.cpp		1-1-1_sample.cpp
1-1-N_sample.cpp		1-1-N_sample.cpp
1-N-1_sample.cpp		1-N-1_sample.cpp
1-N-1_sample2.cpp		1-N-1_sample2.cpp
1-N-1_sample3.cpp		1-N-1_sample3.cpp
1-N-N_sample.cpp		1-N-N_sample.cpp
CMakeLists.txt		CMakeLists.txt
N-1-N_sample.cpp		N-1-N_sample.cpp
N-N_sample.cpp		N-N_sample.cpp
README.md		README.md
app_des_sample.cpp		app_des_sample.cpp
app_src_des_sample.cpp		app_src_des_sample.cpp
app_src_sample.cpp		app_src_sample.cpp
ba_crossline_sample.cpp		ba_crossline_sample.cpp
ba_jam_sample.cpp		ba_jam_sample.cpp
ba_stop_sample.cpp		ba_stop_sample.cpp
body_scan_and_plate_detect_sample.cpp		body_scan_and_plate_detect_sample.cpp
dynamic_pipeline_sample.cpp		dynamic_pipeline_sample.cpp
dynamic_pipeline_sample2.cpp		dynamic_pipeline_sample2.cpp
enet_seg_sample.cpp		enet_seg_sample.cpp
face_swap_sample.cpp		face_swap_sample.cpp
face_tracking_sample.cpp		face_tracking_sample.cpp
firesmoke_detect_sample.cpp		firesmoke_detect_sample.cpp
frame_fusion_sample.cpp		frame_fusion_sample.cpp
image_des_sample.cpp		image_des_sample.cpp
image_src_sample.cpp		image_src_sample.cpp
interaction_with_pipe_sample.cpp		interaction_with_pipe_sample.cpp
lane_detect_sample.cpp		lane_detect_sample.cpp
mask_rcnn_sample.cpp		mask_rcnn_sample.cpp
message_broker_kafka_sample.cpp		message_broker_kafka_sample.cpp
message_broker_sample.cpp		message_broker_sample.cpp
message_broker_sample2.cpp		message_broker_sample2.cpp
multi_detectors_and_classifiers_sample.cpp		multi_detectors_and_classifiers_sample.cpp
multi_detectors_sample.cpp		multi_detectors_sample.cpp
multi_trt_infer_nodes_sample.cpp		multi_trt_infer_nodes_sample.cpp
nv_hard_codec_sample.cpp		nv_hard_codec_sample.cpp
obstacle_detect_sample.cpp		obstacle_detect_sample.cpp
openpose_sample.cpp		openpose_sample.cpp
paddle_infer_sample.cpp		paddle_infer_sample.cpp
plate_recognize_sample.cpp		plate_recognize_sample.cpp
record_sample.cpp		record_sample.cpp
rtsp_des_sample.cpp		rtsp_des_sample.cpp
skip_sample.cpp		skip_sample.cpp
src_des_sample.cpp		src_des_sample.cpp
trt_infer_sample.cpp		trt_infer_sample.cpp
trt_yolov8_sample.cpp		trt_yolov8_sample.cpp
trt_yolov8_sample2.cpp		trt_yolov8_sample2.cpp
vehicle_body_scan_sample.cpp		vehicle_body_scan_sample.cpp
vehicle_cluster_based_on_classify_encoding_sample.cpp		vehicle_cluster_based_on_classify_encoding_sample.cpp
vehicle_tracking_sample.cpp		vehicle_tracking_sample.cpp
video_restoration_sample.cpp		video_restoration_sample.cpp
vp_logger_sample.cpp		vp_logger_sample.cpp
vp_test.cpp		vp_test.cpp

README.md

1-1-1_sample

1 video input, 1 infer task, and 1 output.

1-1-N_sample

1 video input, 1 infer task, and 2 outputs.

1-N-N_sample

1 video input and then split into 2 branches for different infer tasks, then 2 total outputs.

N-1-N_sample

2 video input and merge into 1 branch automatically for 1 infer task, then resume to 2 branches for outputs again.

N-N_sample

multi pipe exist separately and each pipe is 1-1-1 (can be any structure like 1-1-N, 1-N-N)

paddle_infer_sample

ocr based on paddle (install paddle_inference first!), 1 video input and 2 outputs (screen, rtmp)

src_des_sample

show how src nodes and des nodes work. 3 (file, rtsp, udp) input and merge into 1 infer task, then resume to 3 branches for outputs (screen, rtmp, fake)

trt_infer_sample

vehicle and plate detector based on tensorrt (install tensorrt first!), 1 video input and 3 outputs (screen, file, rtmp)

vp_logger_sample

show how vp_logger works.

face_tracking_sample

tracking for multi faces.

vehicle_tracking_sample

tracking for multi vehicles.

interaction_with_pipe_sample

show how to interact with pipe, such as start/stop channel by calling api.

record_sample

show how vp_record_node works.

message_broker_sample & message_broker_sample2

show how message broker nodes work.

mask_rcnn_sample

show image segmentation by mask-rcnn.

openpose_sample

show pose estimation by openpose network.

enet_seg_sample

show semantic segmentation by enet network.

multi_detectors_and_classifiers_sample

show multi infer node work together.

image_des_sample

show save/push image to local file or remote via udp.

image_src_sample

show read/receive image from local file or remote via udp.

rtsp_des_sample

show push video stream via rtsp, no rtsp server needed, you can visit it directly.

ba_crossline_sample

count for vehicle based on tracking, the simplest one of behaviour analysis.

plate_recognize_sample

vehicle plate detect and recognize on the whole frame (no need to detect vechile first)

vehicle_body_scan_sample

detect parts of vehicle based on side view of body

body_scan_and_plate_detect_sample

2 channels to detect parts of vehicle and detect vehicle plate, you can do something like data fusion later

app_src_sample

send data to pipeline from host coda using app_src_node

vehicle_cluster_based_on_classify_encoding_sample

vehicle cluster based on labels(classify) and encoding(feature extract), pipeline would display 3 windows (cluster by t-SNE, cluster by labels, detect result)