refer to https://github.com/jkjung-avt/tensorrt_demos & https://jkjung-avt.github.io/jetpack-4.4/

### Step 1 ###
### Download yolo model
$ cd /home/adlink/Downloads/tensorrt_demos/yolo
$ ./download_yolo.sh

### Step 2 ###
### Convert yolo model to ONNX

$ cd /home/adlink/Downloads/tensorrt_demos/yolo
$ python3 yolo_to_onnx.py -m yolov3-416 --category_num 80

### Step 3 ###
### Optimize onnx model by TensorRT (takes about 4 minutes)
### yolov3-416 FP32

$ /usr/src/tensorrt/bin/trtexec --onnx=yolov3-416.onnx --workspace=3000 --maxBatch=4 --verbose --saveEngine=yolov3-416-fp32.engine

### Optional ###
### Optimize onnx model by TensorRT (takes about 14 minutes)
### yolov3-416 FP16

$ /usr/src/tensorrt/bin/trtexec --onnx=yolov3-416.onnx --workspace=3000 --maxBatch=4 --fp16 --verbose --saveEngine=yolov3-416-fp16.engine
### Optional ###

### Step 4 ###
### Test by EVA
### yolov3-416 FP16

$ gst-launch-1.0 pylonsrc camera=0 fps=11 ! videoconvert ! adrt model=~/Downloads/tensorrt_demos/yolo/yolov3-416-fp16.engine scale=0.004 mean="0 0 0" device=0 batch=1 ! adtranslator label=~/Desktop/EVA_IDE/model/yolo_RT_labels.txt topology=yolov3 dims=1,255,13,13,1,255,26,26,1,255,52,52 input_width=416 engine-type=2 ! admetadrawer ! videoconvert ! fpsdisplaysink video-sink=xvimagesink text-overlay=true

### yolov3-416 fp32

gst-launch-1.0 pylonsrc camera=0 fps=6 ! videoconvert ! adrt model=~/Downloads/tensorrt_demos/yolo/yolov3-416-fp32.engine scale=0.004 mean="0 0 0" device=0 batch=1 ! adtranslator label=~/Desktop/EVA_IDE/model/yolo_RT_labels.txt topology=yolov3 dims=1,255,13,13,1,255,26,26,1,255,52,52 input_width=416 engine-type=2 ! admetadrawer ! videoconvert ! fpsdisplaysink video-sink=xvimagesink text-overlay=true

### Optional
### If class trained by 2, input size=416x416
### model name: yolov3-416_test.engine, label files: label.txt

$ python3 yolo_to_onnx.py -m yolov3-416 --category_num 2
$ /usr/src/tensorrt/bin/trtexec --onnx=yolov3-416.onnx --workspace=3000 --maxBatch=4 --verbose --saveEngine=yolov3-416_test.engine
$ gst-launch-1.0 pylonsrc camera=0 fps=6 ! videoconvert ! adrt model=yolov3-416_test.engine scale=0.004 mean="0 0 0" device=0 batch=1 ! adtranslator label=label.txt topology=yolov3 dims=1,21,13,13,1,21,26,26,1,21,52,52 input_width=416 engine-type=2 ! admetadrawer ! videoconvert ! xvimagesink sync=false