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retinaface_ghost's Introduction

Hi there! I'm pogg.

Hi, I’m pogg, a student who likes to record life, and here is my Garden of Eden~

  • πŸ”­ When I was in undergraduate, I teamed up with my classmates to attend competition. At that time I was exposed to machine learning and was fascinated by it.πŸ€–
  • 🌱 During graduate school, I chose deep learning as my research direction. I believe that there will be many interesting people and things on this way.🀣
  • πŸ‘― During the second year of graduate school, I have practiced in Guangzhou and recorded my own interesting experiments during the period.
  • πŸ’‘ I like to program by python and C++
  • 🀣 Hope to meet more friends. Nice to meet you~ 😁

Things I code with

Docker github actions Google git baidu arvix centos Raspberry%20Pi vim python pytorch tensorflow mxnet

Open source projects

🎁 Projects ⭐ Stars πŸ“š Forks πŸ›Ž Issues πŸ“¬ Pull requests
YOLOv5-Lite Stars Forks Issues Pull Requests
YOLO-Streaming Stars Forks Issues Pull Requests
Retinaface_Ghost Stars Forks Issues Pull Requests
ncnn-yolov4-int8 Stars Forks Issues Pull Requests

I like listening to music, playing ball, and like to adventurous more. 🎼🎸🎢 β†’ Spotify Playing πŸŽ§πŸ‘€

GIF

At the same time, I also have other blogs, welcome to pay attention!πŸ’»πŸ“Œ

Connect with me and Grab a Coffee! πŸ™‹β€β™€οΈπŸ₯€

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Stars License

retinaface_ghost's People

Contributors

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Stargazers

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Watchers

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Forkers

jinmana liuhanyan cpfelix ouya-bytes zlszhonglongshen hujiarong assdddddff cugxchen zardzen marenan djord97 mackenbaron haoyue-code tiancong11 namedqianli

retinaface_ghost's Issues

pre-trained model for mobilenetv3

Can I get pre-trained model for mobilenet v3 that is modified in this Retinaface_Ghost?
If so, I think that I can train my data efficiently.

Using ghostnet_Final.pth

when I use ghostnet_Final.pth, after running "python /content/Retinaface_Ghost/widerface_evaluate/evaluation.py" command, the result for all forms (easy, medium, hard) is zero for me, Can you direct me?

Onnx model does not correctly works

I converted the "mobilenet0.25_Final" model to onnx, but as a result of inference I get completely different results for the same image. Could you share your scripts with this onnx model?

raise StopIteration StopIteration

Traceback (most recent call last): File "train.py", line 178, in train() File "train.py", line 134, in train images, targets = next(batch_iterator) File "/home/wyw/.conda/envs/py36_torch/lib/python3.6/site-packages/torch/utils/data/dataloader.py", line 435, in next data = self._next_data() File "/home/wyw/.conda/envs/py36_torch/lib/python3.6/site-packages/torch/utils/data/dataloader.py", line 1058, in _next_data raise StopIteration StopIteration

batch_iterator = iter(data.DataLoader(dataset, batch_size, shuffle=True, num_workers=num_workers,
collate_fn=detection_collate, drop_last=True))
change to
batch_iterator = iter(data.DataLoader(dataset, batch_size, shuffle=True, num_workers=num_workers,
collate_fn=detection_collate))

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