Stefano Pini

I think it is possible to mount a Google Drive folder, but it requires an API key, so it wouldn't be automatic also in this case. However, I think that...

Yes, definitely

Wow, thank you! It is definitely a great starting point for people interested in this repo. I'll share it on the README.md with proper attribution.

Hi! I guess you're talking about this version of YOLO and the weights they have released there: YOLOv4 (v3/v2) - Windows and Linux version of Darknet ... - [https://github.com/AlexeyAB/darknet](https://github.com/AlexeyAB/darknet) I've...

Do you mean https://github.com/ultralytics/yolov5 ? No, I didn't, but I think it'll require major changes because it is a completely different repository w.r.t. the current YOLOv3. May you have a...

Hi! I've checked it and I think you're right. This code is derived from [here](https://github.com/leoxiaobin/deep-high-resolution-net.pytorch/blob/fe54d1aa5780dbdd4ce6334a730dd08ae717529e/lib/core/evaluate.py) and the same code is found also [here](https://github.com/microsoft/human-pose-estimation.pytorch/blob/18f1d0fa5b5db7fe08de640610f3fdbdbed8fb2f/lib/core/evaluate.py) and they may both contain the same...

Hi! Given that the results and the inference speed are quite disappointing with respect to HRNet, I'm not planning to implement and release the training code for HigherHRNet. Compared to...

No, I didn't, but any contributions are welcome! Please consider sharing the results here if you manage to convert it in tensorrt.

Hi @poincarelee I have implemented a simplified version of HigherHRNet (compatible with official pretrained weights) providing a live demo script. You can find it here: [https://github.com/stefanopini/simple-HigherHRNet](https://github.com/stefanopini/simple-HigherHRNet) It runs at about...

I have implemented a simplified version of HigherHRNet (compatible with official pretrained weights) providing a live demo script: [https://github.com/stefanopini/simple-HigherHRNet](https://github.com/stefanopini/simple-HigherHRNet) My implementation runs at about 3 fps on a GTX 1060...