ferry

@FrancescoPiemontese maybe you can refer to this [myhrnet](https://github.com/lxy5513/hrnet), I integrated yolo human detection.

@leoxiaobin yes, soon after, I will add several human detection, like R-FCN, RetineNet, then do PR and speed description.

@leoxiaobin I prepare to do this track by your `simple-baseline` paper description > For the processing frame in videos, the boxes from a human detector and boxes generated by propagating...

Thanks

@leoxiaobin Hi, I made a PR for yolov3-HRnet, however something wired. I use two ways. ONE, I get dt_boxes from yolo then `python tools/test.py TEST.USE_GT_BBOX False TEST.FLIP_TEST False`, and get...

this is my script https://github.com/lxy5513/hrnet/blob/master/tools/eval.py which get keypoints json file , by the way, my YOLOv3 threshold is 0.1

I am greatly appreciate for your attention this is my convert channel code: https://github.com/lxy5513/hrnet/blob/master/tools/eval.py#L142 . this is my relative threshold code, they are same for two methods. https://github.com/lxy5513/hrnet/blob/master/tools/eval.py#L159

By the way, my use `yolov3 + simple-baseline pose model `, test the PR, it seem normal, as follow: Arch | AP | Ap .5 | AP .75 | AP...

By The way, every time I run trt model over, It occurs `Segmentation fault`

this is my trt model code ``` import json import trt_pose.coco import ipdb; pdb=ipdb.set_trace import trt_pose.models import torch import cv2 import torch2trt import torchvision.transforms as transforms import PIL.Image from tqdm...