| Network | TensorRT | OpenVINO | OnnxRuntime | Translator Plugin | Minimum required EVA | Reference link |
|---|---|---|---|---|---|---|
| Yolov3-tiny | Tested | Not test, possible to optimize | Tested | adtrans_yolo | 3.5.3+ | AlexeyAB/darknet yolov3_tiny_onnx |
Original model : https://github.com/AlexeyAB/darknet
Convert Darknet model to ONNX format
https://github.com/jkjung-avt/tensorrt_demos/tree/c6afc40082da72397b2b0ad91eb6f32acf3b731d#yolov3
trtexec --onnx=yolov3-tiny.onnx --buildOnly --saveEngine=YOUR_MODEL_NAME.enginetrtexec --onnx=yolov3-tiny.onnx --buildOnly --saveEngine=YOUR_MODEL_NAME.engine --fp16Note : YOLO family models have different input dimensions like 288 ( 32*9 ), 416 ( 32*13 ), 608 ( 32*,19). When convert, please pay attention to which input dimension of your model
gst-launch-1.0 filesrc location=street.mp4 ! decodebin ! videoconvert ! adrt model=yolov3-tiny-288.engine scale=0.0039 rgbconv=True mean="0 0 0" ! adtrans_yolo label="files/yolo-tiny.txt" blob-size="9,18" mask="(3,4,5),(0,1,2)" anchor="(10,14),(23,27),(37,58),(81,82),(135,169),(344,319)" input-height=288 input-width=288 ! admetadrawer ! videoconvert ! ximagesink Explanation of some plugins parameters :
adrt model=yolov3-tiny-288.engine scale=0.0039 rgbconv=True mean="0 0 0" adtrans_yolo label="files/yolo-tiny.txt" blob-size="9,18" mask="(3,4,5),(0,1,2)" anchor="(10,14),(23,27),(37,58),(81,82),(135,169),(344,319)" input-height=288 input-width=288 use-sigmoid=true | Network | TensorRT | OpenVINO | OnnxRuntime | Translator Plugin | Minimum required EVA | Reference link |
|---|---|---|---|---|---|---|
| Yolov4-tiny | Tested | Not test, possible to optimize | Tested | adtrans_yolo | 3.5.3+ | AlexeyAB/darknet yolov3_tiny_onnx |
Original model : https://github.com/AlexeyAB/darknet
Convert Darknet model to ONNX format
https://github.com/jkjung-avt/tensorrt_demos/tree/c6afc40082da72397b2b0ad91eb6f32acf3b731d#yolov4
trtexec --onnx=yolov4-tiny.onnx --buildOnly --saveEngine=YOUR_MODEL_NAME.enginetrtexec --onnx=yolov4-tiny.onnx --buildOnly --saveEngine=YOUR_MODEL_NAME.engine --fp16Note : YOLO family models have different input dimensions like 288 ( 32*9 ), 416 ( 32*13 ), 608 ( 32*,19). When convert, please pay attention to which input dimension of your model
gst-launch-1.0 filesrc location=street.mp4 ! decodebin ! videoconvert ! adrt model=yolov4-tiny-288.engine scale=0.0039 rgbconv=True mean="0 0 0" ! adtrans_yolo label="files/yolo-tiny.txt" blob-size="9,18" mask="(3,4,5),(1,2,3)" anchor="(10,14),(23,27),(37,58),(81,82),(135,169),(344,319)" input-height=288 input-width=288 ! admetadrawer ! videoconvert ! ximagesinkExplanation of some plugins parameters :
adrt model=yolov4-tiny-288.engine scale=0.0039 rgbconv=True mean="0 0 0"adtrans_yolo label="files/yolo-tiny.txt" blob-size="9,18" mask="(3,4,5),(1,2,3)" anchor="(10,14),(23,27),(37,58),(81,82),(135,169),(344,319)" input-height=288 input-width=288 use-sigmoid=true