ferry

Thanks for openning source the awesome code! when I run demo_camera_mobile.py , found some keypoints score > 1, code in there https://github.com/Guanghan/lighttrack/blob/master/demo_camera_mobile.py#L619 Is this you set deliberatly?

rtr infrence is no result.

11

Hello,jaybdub. Thanks for you code. I try to use trt model in 1080ti GPU and test the estimation result, but after `counts, objects, peaks = parse_objects(cmap, paf)` , The counts...

First of all , thank for you awesome project. For to use the pose estimator on real-time, I insert YOLOv3 to get human bbox, now I want test the AP...

speed on GPU

3

HI, thanks for awesom work, I tested in image by ssd_mobilenet_v2_egohands model in 1080ti GPU, but the speed is slow, about 700ms for each image averagely. Are there some thing...

Hello, Thanks for your awesome code, I find pose estimation use box by results on COCO val2017 with detector having human AP of 56.4 on COCO val2017 dataset， but why...

unify detection boxes and flow boxes

1

A great work for pose tracking! Could you please tell how to unify detection boxes and flow boxes? Thank you in advance.

KeyError: 'identity1'

4

the onnx_model_file is the onnx model exported by pytorch (yolo) But when I import it by mxnet, the error occured as follow: hope someone can fix the problem, thank you...

rknn onnx效果差异大

1

@airockchip 您好，请教一个问题，为何我转化的时候cos_similarity很高，但是onnx和rknn模型的mAP差距很大呢? (我使用的是yolov6) ---> time_info: model_init: 2239.471924 ms input_set: 21.114054 ms run: 624.894653 ms output_get: 1.16285 ms ---> compute onnx result For example iter 1/1 rknn(fp) VS onnx cos_similarity: output-0...

the usage of data_gen_val

1

## In train_frcnn_kitti.py 65 lines Please tell me the usage of data_gen_val, thans a lot

train error

3

Thanks for your awesome code, I train it by my custom dataset, but some problems happened, ``` Original Traceback (most recent call last): File "/data/computervision/liuxingyu/envs/server31/anaconda3/envs/torch/lib/python3.7/site-packages/torch/utils/data/_utils/worker.py", line 198, in _worker_loop data...