edgeai-yolov5
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YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
hello, when i use your export command to transformer the pt to onnx, and use the onnx to detect, i find the detection results look like some mistake, but the...
Before submitting a bug report, please be aware that your issue **must be reproducible** with all of the following, otherwise it is non-actionable, and we can not help you: -...
1. start run 'python detect.py' demo is ok 2. when I set load model para inplace=False，then run 'python detect.py' error ```python model = attempt_load(weights, map_location=device, inplace=False) # load FP32 model...
Thanks for your great work! I'm trying to retrain yolo-pose on my custom dataset with different keypoints num and same format, and I may further extend some segmentation module based...
## ❔Question I tried deploying YoloPose on Nvidia Jetson Xavier NX using TensorRT, but I got very low fps. The average processing time per frame is about 160ms. Can you...
## ❔Question I export the model with: python models/export.py --weights Yolov5s6_pose_960.pt --img 960 --batch 1 --simplify --export-nms the model with output is:  and export with no nms is: ...
Hi, I use the latest version of the repo. There is a huge inconsistency between the reported [email protected] and [email protected]:0.95 as printed during the training versus the results.png E.g. during...
Hi,@debapriyamaji I got this result after retraining the coco dataset with the pre-trained model, and only these two key points will have a very serious offset, I think there could...
git code about yolo-pose,use coco 2017 data train,detect result keypoint out of range. 
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YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite